data_source stringclasses 1
value | prompt listlengths 1 1 | ability stringclasses 6
values | reward_model.style stringclasses 1
value | reward_model.ground_truth stringclasses 52
values | extra_info.index int64 1 52.8k | extra_info.answer stringclasses 52
values | extra_info.question stringlengths 810 3.6k | reward_model dict | extra_info dict |
|---|---|---|---|---|---|---|---|---|---|
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | B | 1 | B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.
Input:
Product 1: Duralex Amalfi Glasses 1004AC04/4, Set of 4, 6 oz.
Product 2: Duralex Made In France Provence Glass Tumbler (Set of 6), 3.125 oz, Clear
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"index": 0,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.\n\nInput:\nProduct 1: Duralex Amalfi Glasses 1004AC04/4, Set of 4, 6 oz.\nProduct 2: Duralex Made In France Provence Glass Tumbler (Set of 6), 3.125 oz, Clear\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. | 2 | B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the query and product title to assess the level of relevance between them, and then output the corresponding option that best describes this relevance.
Input:
Query: sloth not today
Product: Not To Brag But I Totally Got Out Of Bed Today Sloth Women T-Shirt
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.",
"style": "rule"
} | {
"answer": "B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.",
"index": 1,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the query and product title to assess the level of relevance between them, and then output the corresponding option that best describes this relevance.\n\nInput:\nQuery: sloth not today\nProduct: Not To Brag But I Totally Got Out Of Bed Today Sloth Women T-Shirt\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 3 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.
Input:
Query: casual men slip ontommy hilfiger
Product: Tommy Hilfiger Women's Lucey Sneaker, White, 10
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 2,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.\n\nInput:\nQuery: casual men slip ontommy hilfiger\nProduct: Tommy Hilfiger Women's Lucey Sneaker, White, 10\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | yes | 5 | yes | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given a query and a product, identify if the product is somewhat relevant to the query. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. Only output yes or no.
Input:
Query: overnight pads for women extra heavy without wings
Product: Rael Organic Cotton Sanitary Pads - Overnight Size, Heavy Absorbency, Unscented, Ultra Thin Pads for Women (30 Count)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "yes",
"style": "rule"
} | {
"answer": "yes",
"index": 3,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given a query and a product, identify if the product is somewhat relevant to the query. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. Only output yes or no.\n\nInput:\nQuery: overnight pads for women extra heavy without wings\nProduct: Rael Organic Cotton Sanitary Pads - Overnight Size, Heavy Absorbency, Unscented, Ultra Thin Pads for Women (30 Count)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | A: very positive | 6 | A: very positive | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Assess the user's sentiment in the provided review and select the appropriate sentiment option from the list as the answer.
Input:
This was very good read. I really enjoyed the story plot as well country singer hireing his own personal cook while on tour. I really enjoy the recipes in between the chaptera and am going to try some of them. I enjoyed the family oriented story plot in this book and also how Ryes reunited with his family. The story was also realistic in that it takes in every issues in life dealing with the family
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: very positive",
"style": "rule"
} | {
"answer": "A: very positive",
"index": 4,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Assess the user's sentiment in the provided review and select the appropriate sentiment option from the list as the answer.\n\nInput:\nThis was very good read. I really enjoyed the story plot as well country singer hireing his own personal cook while on tour. I really enjoy the recipes in between the chaptera and am going to try some of them. I enjoyed the family oriented story plot in this book and also how Ryes reunited with his family. The story was also realistic in that it takes in every issues in life dealing with the family\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. | 8 | B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the relevance between the query and product title, and choose the most accurate option from the given options.
Input:
Query: 4ft extension cord
Product: Amazon Basics 6-Foot 3-Prong Indoor Extension Cord Power Strip - Flat Plug, Grounded - 13 Amps, 1625 Watts, 125 VAC - 2-Pack, White
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.",
"style": "rule"
} | {
"answer": "B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.",
"index": 5,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the relevance between the query and product title, and choose the most accurate option from the given options.\n\nInput:\nQuery: 4ft extension cord\nProduct: Amazon Basics 6-Foot 3-Prong Indoor Extension Cord Power Strip - Flat Plug, Grounded - 13 Amps, 1625 Watts, 125 VAC - 2-Pack, White\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 12 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Answer yes if the product is a substitute for the query and no otherwise.
Input:
Query: pack of hotwheels
Product: Just Play Hot Wheels Ready to Race Car Builder, 29 Pieces
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 6,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Answer yes if the product is a substitute for the query and no otherwise.\n\nInput:\nQuery: pack of hotwheels\nProduct: Just Play Hot Wheels Ready to Race Car Builder, 29 Pieces\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. | 14 | B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the relevance between the query and product title, and choose the most accurate option from the given options.
Input:
Query: dewalt 8v max cordless screwdriver kit, gyroscopic
Product: Electric Screwdriver, 45Pcs 6N.m, TECCPO 4V Cordless Power Screwdriver, 9+1 Torque Gears, Electric Screwdriver Rechargeable with 2000mAh Li-ion, 1/4'' Hex Self-Lock Chuck, 2 LED, Adjustable 2 Position
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.",
"style": "rule"
} | {
"answer": "B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.",
"index": 7,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the relevance between the query and product title, and choose the most accurate option from the given options.\n\nInput:\nQuery: dewalt 8v max cordless screwdriver kit, gyroscopic\nProduct: Electric Screwdriver, 45Pcs 6N.m, TECCPO 4V Cordless Power Screwdriver, 9+1 Torque Gears, Electric Screwdriver Rechargeable with 2000mAh Li-ion, 1/4'' Hex Self-Lock Chuck, 2 LED, Adjustable 2 Position\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 17 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.
Input:
Query: toolchest
Product: 5-Drawer Tool Chest,Removable Tool Box,Rolling Tool Chest with Wheels,Detachable Rolling Tool Storage Box with Sliding Drawers,Multi-purpose Tool Organizer for Garage, Warehouse (Red)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 8,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.\n\nInput:\nQuery: toolchest\nProduct: 5-Drawer Tool Chest,Removable Tool Box,Rolling Tool Chest with Wheels,Detachable Rolling Tool Storage Box with Sliding Drawers,Multi-purpose Tool Organizer for Garage, Warehouse (Red)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 18 | A: The product is relevant to the query, and satisfies all the query specifications. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: What is the relevance between the query and the product title below? Answer from one of the options.
Input:
Query: champion bra women
Product: Champion Women's Curvy Strappy Sports Bra, Black/Granite Heather, Medium
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: The product is relevant to the query, and satisfies all the query specifications.",
"style": "rule"
} | {
"answer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 9,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: What is the relevance between the query and the product title below? Answer from one of the options.\n\nInput:\nQuery: champion bra women\nProduct: Champion Women's Curvy Strappy Sports Bra, Black/Granite Heather, Medium\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 20 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.
Input:
Query: 60 gallon aquarium heater
Product: 300w 150w 50w Submersible Aquarium Heater Auto Thermostat Heater with Suction,LED Small Mini Temperature Display Aquarium Fish Tank Heater for Fish Tank Water (Bonus Thermometer)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 10,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.\n\nInput:\nQuery: 60 gallon aquarium heater\nProduct: 300w 150w 50w Submersible Aquarium Heater Auto Thermostat Heater with Suction,LED Small Mini Temperature Display Aquarium Fish Tank Heater for Fish Tank Water (Bonus Thermometer)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 21 | A: The product is relevant to the query, and satisfies all the query specifications. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the query and product title to determine the relevance between the query and product, and select the appropriate option from the provided options.
Input:
Query: alcohol inks
Product: Ranger Tim Holtz Adirondack Alcohol Inks- Favorite Set Collection 18 Bottles
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: The product is relevant to the query, and satisfies all the query specifications.",
"style": "rule"
} | {
"answer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 11,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the query and product title to determine the relevance between the query and product, and select the appropriate option from the provided options.\n\nInput:\nQuery: alcohol inks\nProduct: Ranger Tim Holtz Adirondack Alcohol Inks- Favorite Set Collection 18 Bottles\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | A: very positive | 22 | A: very positive | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.
Input:
The XF times adapter is well made as I've compared with other similar adapters, this one was one of the best I came across, especially since it offers direct powering to your device while working as far as adapting the video/smartphone screen to your HDMI TV, etc. It works well with smartphones such as the Samsung Galaxy S8 models (what I'm using currently). I'm pretty happy with this adapter and recommend it.
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: very positive",
"style": "rule"
} | {
"answer": "A: very positive",
"index": 12,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.\n\nInput:\nThe XF times adapter is well made as I've compared with other similar adapters, this one was one of the best I came across, especially since it offers direct powering to your device while working as far as adapting the video/smartphone screen to your HDMI TV, etc. It works well with smartphones such as the Samsung Galaxy S8 models (what I'm using currently). I'm pretty happy with this adapter and recommend it.\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | B,A,C | 23 | B,A,C | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the relevance of each product title in the input to the given query, and then sort the products in descending order of relevance, placing the most relevant product at the top of the ranked list.
Input:
Query: magnetic eyelashes without eyeliner
Product list:
A: Updated 3D 6D Magnetic Eyelashes and Eyeliner Set- 2 Tubes of Magnetic Eyeliner & 10 Pairs Magnetic Eyelashes Kit-With Natural Look & Reusable False lashes -No Glue Need
B: VASSOUL Dual Magnetic Eyelashes, 0.2mm Ultra Thin Magnet, Light weight & Easy to Wear, Best 3D Reusable Eyelashes with Applicator (8 PC with Tweezers)
C: Magnetic Eyelashes, Magnetic lashes, Magnetic Eyelash kit, Magnetic Eyeliner with Magnetic False Lashes Natural Look-No Glue Needed (5-Pairs)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B,A,C",
"style": "rule"
} | {
"answer": "B,A,C",
"index": 13,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the relevance of each product title in the input to the given query, and then sort the products in descending order of relevance, placing the most relevant product at the top of the ranked list.\n\nInput:\nQuery: magnetic eyelashes without eyeliner\nProduct list:\nA: Updated 3D 6D Magnetic Eyelashes and Eyeliner Set- 2 Tubes of Magnetic Eyeliner & 10 Pairs Magnetic Eyelashes Kit-With Natural Look & Reusable False lashes -No Glue Need\nB: VASSOUL Dual Magnetic Eyelashes, 0.2mm Ultra Thin Magnet, Light weight & Easy to Wear, Best 3D Reusable Eyelashes with Applicator (8 PC with Tweezers)\nC: Magnetic Eyelashes, Magnetic lashes, Magnetic Eyelash kit, Magnetic Eyeliner with Magnetic False Lashes Natural Look-No Glue Needed (5-Pairs)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | A,B | 25 | A,B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.
Input:
Query: big mirror without frame
Product list:
A: HHDD Wall Mounted Oval Mirror Without Frame, Wall Mirror Bathroom, Shaving Mirror Shower, Simple Style, for Vanity, Bedroom Or Living Room
B: NeuType Full Length Mirror Floor Mirror with Standing Holder Bedroom/Locker Room Standing/Hanging Mirror Dressing Mirror Wall-Mounted Mirror (Black)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"index": 14,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.\n\nInput:\nQuery: big mirror without frame\nProduct list:\nA: HHDD Wall Mounted Oval Mirror Without Frame, Wall Mirror Bathroom, Shaving Mirror Shower, Simple Style, for Vanity, Bedroom Or Living Room\nB: NeuType Full Length Mirror Floor Mirror with Standing Holder Bedroom/Locker Room Standing/Hanging Mirror Dressing Mirror Wall-Mounted Mirror (Black)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | A | 26 | A | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Predict whether two products are similar, whether two products are likely to be purchased or viewed together based on their titles. Choose your answer from the provided options.
Input:
Product 1: Eggsnow Eyepiece/Eye Cup2 Packfor Nikon D7000 D300 D200 D100 D90 D80 D40 D50 D70s D600 D610 Camera Viewfinder
Product 2: TetherPro USB 2.0 A Male to Mini-B 8 Pin, 15 feet (4.6m), Orange
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"index": 15,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Predict whether two products are similar, whether two products are likely to be purchased or viewed together based on their titles. Choose your answer from the provided options.\n\nInput:\nProduct 1: Eggsnow Eyepiece/Eye Cup2 Packfor Nikon D7000 D300 D200 D100 D90 D80 D40 D50 D70s D600 D610 Camera Viewfinder\nProduct 2: TetherPro USB 2.0 A Male to Mini-B 8 Pin, 15 feet (4.6m), Orange\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | A: very positive | 27 | A: very positive | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the user's review text and determine the overall sentiment expressed, then choose the corresponding sentiment option from the provided list (A: very positive, B: positive, C: neutral, D: negative, E: very negative) based on the identified sentiment.
Input:
Since this type of exercise is coming back in style, I was glad I was able to find one easily on line.
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: very positive",
"style": "rule"
} | {
"answer": "A: very positive",
"index": 16,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the user's review text and determine the overall sentiment expressed, then choose the corresponding sentiment option from the provided list (A: very positive, B: positive, C: neutral, D: negative, E: very negative) based on the identified sentiment.\n\nInput:\nSince this type of exercise is coming back in style, I was glad I was able to find one easily on line.\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 28 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Assess the relevance of a product to a given query by determining if it can function as a substitute, despite not fully meeting certain aspects of the query. Provide a binary output of yes or no based on this evaluation.
Input:
Query: phone case lg tribute dynasty
Product: LEEGU Case for LG Aristo 3 / Tribute Empire/Tribute Dynasty/Phoenix 4/Zone 4/Fortune 2/K8+/Risio 3/Rebel 3 LTE/Aristo 2 Plus, Dual Layer Duty Protective Silicone Plastic Case- Don't Touch My Phone
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 17,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Assess the relevance of a product to a given query by determining if it can function as a substitute, despite not fully meeting certain aspects of the query. Provide a binary output of yes or no based on this evaluation.\n\nInput:\nQuery: phone case lg tribute dynasty\nProduct: LEEGU Case for LG Aristo 3 / Tribute Empire/Tribute Dynasty/Phoenix 4/Zone 4/Fortune 2/K8+/Risio 3/Rebel 3 LTE/Aristo 2 Plus, Dual Layer Duty Protective Silicone Plastic Case- Don't Touch My Phone\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | B | 29 | B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.
Input:
Product 1: Seco-Larm Enforcer Electric Door Strike for Metal Doors, 24VDC (SD-995C24)
Product 2: UHPPOTE Waterproof IP68 Metal Case RFID ID Keypad Single Door Stand-Alone Access Control & Wiegand 26 bit I/O
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"index": 18,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.\n\nInput:\nProduct 1: Seco-Larm Enforcer Electric Door Strike for Metal Doors, 24VDC (SD-995C24)\nProduct 2: UHPPOTE Waterproof IP68 Metal Case RFID ID Keypad Single Door Stand-Alone Access Control & Wiegand 26 bit I/O\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | D: The product is irrelevant to the query. | 32 | D: The product is irrelevant to the query. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the query and product title to assess the level of relevance between them, and then output the corresponding option that best describes this relevance.
Input:
Query: boys warm hat age 12
Product: Simple Joys by Carter's Baby Boys' 2-Pack Fleece Footed Sleep and Play, Monsters/Raccoon, 3-6 Months
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "D: The product is irrelevant to the query.",
"style": "rule"
} | {
"answer": "D: The product is irrelevant to the query.",
"index": 19,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the query and product title to assess the level of relevance between them, and then output the corresponding option that best describes this relevance.\n\nInput:\nQuery: boys warm hat age 12\nProduct: Simple Joys by Carter's Baby Boys' 2-Pack Fleece Footed Sleep and Play, Monsters/Raccoon, 3-6 Months\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 33 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Answer yes if the product is a substitute for the query and no otherwise.
Input:
Query: diamond earrings for men
Product: Dangle cross earrings in Sterling Silver with CZ diamonds - Handmade in the USA
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 20,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Answer yes if the product is a substitute for the query and no otherwise.\n\nInput:\nQuery: diamond earrings for men\nProduct: Dangle cross earrings in Sterling Silver with CZ diamonds - Handmade in the USA\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 35 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given a query and a product, identify if the product is somewhat relevant to the query. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. Only output yes or no.
Input:
Query: kid long sleeve t shirt
Product: Amazon Brand - Spotted Zebra Girls' Long-Sleeve T-Shirts, 5-Pack Blue Star, Small
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 21,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given a query and a product, identify if the product is somewhat relevant to the query. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. Only output yes or no.\n\nInput:\nQuery: kid long sleeve t shirt\nProduct: Amazon Brand - Spotted Zebra Girls' Long-Sleeve T-Shirts, 5-Pack Blue Star, Small\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | B | 37 | B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Predict whether two products are similar, whether two products are likely to be purchased or viewed together based on their titles. Choose your answer from the provided options.
Input:
Product 1: American Furniture Classics Daybed with 6 Drawers, Full, Espresso
Product 2: South Shore 3107209 Step One Collection Full Captain's Bed, Pure Black, Information
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"index": 22,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Predict whether two products are similar, whether two products are likely to be purchased or viewed together based on their titles. Choose your answer from the provided options.\n\nInput:\nProduct 1: American Furniture Classics Daybed with 6 Drawers, Full, Espresso\nProduct 2: South Shore 3107209 Step One Collection Full Captain's Bed, Pure Black, Information\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 38 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Assess the relevance of a product to a given query by determining if it can function as a substitute, despite not fully meeting certain aspects of the query. Provide a binary output of yes or no based on this evaluation.
Input:
Query: mermaid party favor bags
Product: Cooraby 20 Pieces Kraft Paper Bags Party Favor Bags Craft Paper Bags with Handle for Birthday, Baby Shower, Wedding and Party Celebrations (Light Blue, Light Purple)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 23,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Assess the relevance of a product to a given query by determining if it can function as a substitute, despite not fully meeting certain aspects of the query. Provide a binary output of yes or no based on this evaluation.\n\nInput:\nQuery: mermaid party favor bags\nProduct: Cooraby 20 Pieces Kraft Paper Bags Party Favor Bags Craft Paper Bags with Handle for Birthday, Baby Shower, Wedding and Party Celebrations (Light Blue, Light Purple)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | D: The product is irrelevant to the query. | 39 | D: The product is irrelevant to the query. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: What is the relevance between the query and the product title below? Answer from one of the options.
Input:
Query: blankets with tent image
Product: EnerPlex Twin Air Mattress for Camping, Home & Travel - 16 Inch Double Height Inflatable Bed with Built-in Dual Pump - Durable, Adjustable Blow Up Mattress - Easy to Inflate/Quick Set Up
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "D: The product is irrelevant to the query.",
"style": "rule"
} | {
"answer": "D: The product is irrelevant to the query.",
"index": 24,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: What is the relevance between the query and the product title below? Answer from one of the options.\n\nInput:\nQuery: blankets with tent image\nProduct: EnerPlex Twin Air Mattress for Camping, Home & Travel - 16 Inch Double Height Inflatable Bed with Built-in Dual Pump - Durable, Adjustable Blow Up Mattress - Easy to Inflate/Quick Set Up\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | B | 40 | B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.
Input:
Product 1: RAM MOUNTS (RAP-B-354U-TRA1 1" Diameter Track Ball with T-Bolt Attachment
Product 2: Ram Mount Torque 1-1/8" to 1-1/2" Handlebar/Rail Base RAM-B-408-112-15U
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"index": 25,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.\n\nInput:\nProduct 1: RAM MOUNTS (RAP-B-354U-TRA1 1" Diameter Track Ball with T-Bolt Attachment\nProduct 2: Ram Mount Torque 1-1/8" to 1-1/2" Handlebar/Rail Base RAM-B-408-112-15U\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | A: very positive | 41 | A: very positive | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.
Input:
Works great, haven't had any issues with this tray and have cooked with out about 5 times.
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: very positive",
"style": "rule"
} | {
"answer": "A: very positive",
"index": 26,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.\n\nInput:\nWorks great, haven't had any issues with this tray and have cooked with out about 5 times.\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | A | 43 | A | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the titles of Product 1 and Product 2 to assess their similarity and whether they are likely to be purchased or viewed together. Then, select the appropriate option.
Input:
Product 1: Mossy Oak Compound Bow Case
Product 2: Trophy Ridge Mist Sight with Green Hood Accent for Quicker Sight Acquisition and Reversible Mount Design for Use with Left and Right-hand Bows
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"index": 27,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the titles of Product 1 and Product 2 to assess their similarity and whether they are likely to be purchased or viewed together. Then, select the appropriate option.\n\nInput:\nProduct 1: Mossy Oak Compound Bow Case\nProduct 2: Trophy Ridge Mist Sight with Green Hood Accent for Quicker Sight Acquisition and Reversible Mount Design for Use with Left and Right-hand Bows\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 47 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.
Input:
Query: red bows for crafts
Product: YAKA 80Pcs Mini Satin Ribbon Bows Flowers 1" x3/4"Appliques DIY Craft Scrapbooking DIY Embellishmen Projects,Bow Decorations (Red)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 28,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.\n\nInput:\nQuery: red bows for crafts\nProduct: YAKA 80Pcs Mini Satin Ribbon Bows Flowers 1\" x3/4\"Appliques DIY Craft Scrapbooking DIY Embellishmen Projects,Bow Decorations (Red)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | E: very negative | 52 | E: very negative | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Assess the user's sentiment in the provided review and select the appropriate sentiment option from the list as the answer.
Input:
The bean and coffee holder would stick in the coffeemaker from the beginning and I had to use a knife to get it out. Finally I got tired of it and took my old one out that the top broke on - it at least works if you tape it down. I could send it back to Cuisinart under warranty for $10 plus $10 return - however for $39.00 it is hardly worth spending 50% more. I'll never buy reconditioned again.
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "E: very negative",
"style": "rule"
} | {
"answer": "E: very negative",
"index": 29,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Assess the user's sentiment in the provided review and select the appropriate sentiment option from the list as the answer.\n\nInput:\nThe bean and coffee holder would stick in the coffeemaker from the beginning and I had to use a knife to get it out. Finally I got tired of it and took my old one out that the top broke on - it at least works if you tape it down. I could send it back to Cuisinart under warranty for $10 plus $10 return - however for $39.00 it is hardly worth spending 50% more. I'll never buy reconditioned again.\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 55 | A: The product is relevant to the query, and satisfies all the query specifications. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Determine the relevance between the query and the product title provided, and select your response from one of the available options.
Input:
Query: deadpool action figure
Product: Diamond Select Toys Marvel Select Lady Deadpool Action Figure
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: The product is relevant to the query, and satisfies all the query specifications.",
"style": "rule"
} | {
"answer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 30,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Determine the relevance between the query and the product title provided, and select your response from one of the available options.\n\nInput:\nQuery: deadpool action figure\nProduct: Diamond Select Toys Marvel Select Lady Deadpool Action Figure\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 56 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Answer yes if the product is a substitute for the query and no otherwise.
Input:
Query: mens lucky brand jeans 221 original straight
Product: Lucky Brand 221 Original Straight Jeans in Benoit Grey Benoit Grey 29
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 31,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Answer yes if the product is a substitute for the query and no otherwise.\n\nInput:\nQuery: mens lucky brand jeans 221 original straight\nProduct: Lucky Brand 221 Original Straight Jeans in Benoit Grey Benoit Grey 29\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sequential_Recommendation | rule | R | 57 | R | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Based on the user's historical purchases, rank the items in options and predict the next product of the user's interest from the provided options.
Input:
1st: Unlimited Wares Fall Camo Survival Knife 10.5-Inch Overall. Ace Martial Arts Supply.
2nd: Gerber Bear Grylls Compact Scout Knife, Drop Point [31-000760]. Sports & Outdoors. Sports & Fitness. Gerber.
3rd: Olive Drab Marine Corp Style Quick Release Pistol Belt. Sports & Outdoors. Sports & Fitness. Rothco.
Options:
A: 1 X Mustache Cookie Cutter - 4 Inches. Home & Kitchen. Kitchen & Dining. Off the Beaten Path.
B: BalsaCircle 12 x 108-Inch White Fancy Pintuck Table Top Runner - Wedding Party Event Reception Occasions Linens Decorations. Home & Kitchen. Kitchen & Dining. BalsaCircle.
C: Patriot Signature Line DDR3 4GB 1333MHz Single Module PC Memory PSD34G13332H. Electronics. Computers & Accessories. Patriot.
D: 2XU Men's Hyoptik Athletic Reflective Compression Socks. 2XU.
E: Home Basics BT01045 6 Piece Bamboo Kitchen Cutlery Tool Set. Home & Kitchen. Kitchen & Dining. Home Basics.
F: Farberware 21448 High Performance Dishwasher Safe Nonstick Cookware 1-Quart Straining Saucepan, Red. Home & Kitchen. Kitchen & Dining. Farberware.
G: Pflueger Trion Spincast Reel. Sports & Outdoors. Sports & Fitness. Pflueger.
H: Intriom Acrylic Makeup and Cosmetic Storage Organizer 2 Piece 4 Drawers. Home & Kitchen. Bath. Intriom.
I: OXO Good Grips Pop-Out Apple Slicer, Corer and Divider. Home & Kitchen. Kitchen & Dining. OXO.
J: Speedo Competition Nose Clip. Sports & Outdoors. Sports & Fitness. Speedo.
K: Raspberry Pi 2/3 Copper Heat Sink Heatsink With 3M Special Thermal Cooling Paste / Raspberry Pi 2/3 Copper Heat Sink Heatsink With 3M Special Thermal...
L: Rhode Island Novelty Apprtrx 13" Printed T-Rex Pillow. Home & Kitchen. Bedding. Rhode Island Novelty.
M: JapanBargain 2384X2 Soup Spoon, x 2, Red/Black,JapanBargain,2384X2 />. Home & Kitchen. Kitchen & Dining. JapanBargain.
N: Honey-Can-Do DRY-01374 Wood Clothespins with Spring, 24-Pack, 3.3-inches Length. Home & Kitchen. Storage & Organization. Honey-Can-Do.
O: Cuisinart AMB-12MP Chef's Classic Nonstick Bakeware 12-Cup Muffin Pan, Silver. Home & Kitchen. Kitchen & Dining. Cuisinart.
P: MERCIER Watermelon Slicer Corer Cutter & Server Tongs Stainless Steel + Bonus Melon Baller. Home & Kitchen. Kitchen & Dining. Mercier Kitchen.
Q: Fitness Quest Integrity 3000 Air Rower. Sports & Outdoors. Sports & Fitness. Fitness Quest.
R: CUSCUS Army 3 Day Assault Hiking Camping Military Backpack Green. Sports & Outdoors. Outdoor Recreation.
S: Polk Audio RM6751 Satellite Speaker (Single, White). Electronics. Home Audio. Polk Audio.
T: SOFI by Bankers Box, Hex Box, Closet or Drawer Storage, Foldable Storage Cube Basket (2 Pack). Home & Kitchen. Storage & Organization. SOFI.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "R",
"style": "rule"
} | {
"answer": "R",
"index": 32,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Based on the user's historical purchases, rank the items in options and predict the next product of the user's interest from the provided options.\n\nInput:\n1st: Unlimited Wares Fall Camo Survival Knife 10.5-Inch Overall. Ace Martial Arts Supply.\n2nd: Gerber Bear Grylls Compact Scout Knife, Drop Point [31-000760]. Sports & Outdoors. Sports & Fitness. Gerber.\n3rd: Olive Drab Marine Corp Style Quick Release Pistol Belt. Sports & Outdoors. Sports & Fitness. Rothco.\n\nOptions:\nA: 1 X Mustache Cookie Cutter - 4 Inches. Home & Kitchen. Kitchen & Dining. Off the Beaten Path.\nB: BalsaCircle 12 x 108-Inch White Fancy Pintuck Table Top Runner - Wedding Party Event Reception Occasions Linens Decorations. Home & Kitchen. Kitchen & Dining. BalsaCircle.\nC: Patriot Signature Line DDR3 4GB 1333MHz Single Module PC Memory PSD34G13332H. Electronics. Computers & Accessories. Patriot.\nD: 2XU Men's Hyoptik Athletic Reflective Compression Socks. 2XU.\nE: Home Basics BT01045 6 Piece Bamboo Kitchen Cutlery Tool Set. Home & Kitchen. Kitchen & Dining. Home Basics.\nF: Farberware 21448 High Performance Dishwasher Safe Nonstick Cookware 1-Quart Straining Saucepan, Red. Home & Kitchen. Kitchen & Dining. Farberware.\nG: Pflueger Trion Spincast Reel. Sports & Outdoors. Sports & Fitness. Pflueger.\nH: Intriom Acrylic Makeup and Cosmetic Storage Organizer 2 Piece 4 Drawers. Home & Kitchen. Bath. Intriom.\nI: OXO Good Grips Pop-Out Apple Slicer, Corer and Divider. Home & Kitchen. Kitchen & Dining. OXO.\nJ: Speedo Competition Nose Clip. Sports & Outdoors. Sports & Fitness. Speedo.\nK: Raspberry Pi 2/3 Copper Heat Sink Heatsink With 3M Special Thermal Cooling Paste / Raspberry Pi 2/3 Copper Heat Sink Heatsink With 3M Special Thermal...\nL: Rhode Island Novelty Apprtrx 13\" Printed T-Rex Pillow. Home & Kitchen. Bedding. Rhode Island Novelty.\nM: JapanBargain 2384X2 Soup Spoon, x 2, Red/Black,JapanBargain,2384X2 />. Home & Kitchen. Kitchen & Dining. JapanBargain.\nN: Honey-Can-Do DRY-01374 Wood Clothespins with Spring, 24-Pack, 3.3-inches Length. Home & Kitchen. Storage & Organization. Honey-Can-Do.\nO: Cuisinart AMB-12MP Chef's Classic Nonstick Bakeware 12-Cup Muffin Pan, Silver. Home & Kitchen. Kitchen & Dining. Cuisinart.\nP: MERCIER Watermelon Slicer Corer Cutter & Server Tongs Stainless Steel + Bonus Melon Baller. Home & Kitchen. Kitchen & Dining. Mercier Kitchen.\nQ: Fitness Quest Integrity 3000 Air Rower. Sports & Outdoors. Sports & Fitness. Fitness Quest.\nR: CUSCUS Army 3 Day Assault Hiking Camping Military Backpack Green. Sports & Outdoors. Outdoor Recreation.\nS: Polk Audio RM6751 Satellite Speaker (Single, White). Electronics. Home Audio. Polk Audio.\nT: SOFI by Bankers Box, Hex Box, Closet or Drawer Storage, Foldable Storage Cube Basket (2 Pack). Home & Kitchen. Storage & Organization. SOFI.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | B | 58 | B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the titles of Product 1 and Product 2, then choose the option that best describes the relation between the two products.
Input:
Product 1: Athlon Optics , Argos BTR , Riflescope , 6-24 x 50 First Focal Plane (FFP) 30 mm Tube, Illuminated ATMR MOA Reticle ,
Product 2: SWFA SS 16x42 Tactical Riflescope Mil-Quad Reticle 1/10 Mil Adjustments Rear Focus SS16X42MQ
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"index": 33,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the titles of Product 1 and Product 2, then choose the option that best describes the relation between the two products.\n\nInput:\nProduct 1: Athlon Optics , Argos BTR , Riflescope , 6-24 x 50 First Focal Plane (FFP) 30 mm Tube, Illuminated ATMR MOA Reticle ,\nProduct 2: SWFA SS 16x42 Tactical Riflescope Mil-Quad Reticle 1/10 Mil Adjustments Rear Focus SS16X42MQ\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | A: very positive | 59 | A: very positive | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.
Input:
Bounce capability of the 420ex is worth the money over the 220ex. I use this with a Canon G5 and while the 420ex seems too large in proportion to the G5, the flash is light enough, even with batteries, that it doesn't feel overbalanced.
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: very positive",
"style": "rule"
} | {
"answer": "A: very positive",
"index": 34,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.\n\nInput:\nBounce capability of the 420ex is worth the money over the 220ex. I use this with a Canon G5 and while the 420ex seems too large in proportion to the G5, the flash is light enough, even with batteries, that it doesn't feel overbalanced.\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | A,B | 62 | A,B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.
Input:
Query: bearded dragon clothes
Product list:
A: WATFOON Lizard Custome Clothes Bearded Dragon Decor Vest Sleeveless Adjustable Reptile Sweater Summer Jacket Soft Touching for Skin Protection Leopard Reptile Gecko Anole (Black)
B: Carolina Designer Dragons' Bearded Dragon Cowboy Hat, Brown
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"index": 35,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.\n\nInput:\nQuery: bearded dragon clothes\nProduct list:\nA: WATFOON Lizard Custome Clothes Bearded Dragon Decor Vest Sleeveless Adjustable Reptile Sweater Summer Jacket Soft Touching for Skin Protection Leopard Reptile Gecko Anole (Black)\nB: Carolina Designer Dragons' Bearded Dragon Cowboy Hat, Brown\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 63 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given a query and a product, identify if the product is somewhat relevant to the query. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. Only output yes or no.
Input:
Query: large wicker baskets for blankets wicker
Product: DENJA & CO Extra Large Blanket Basket for Living Room Storage - Woven Basket for Blanket Storage, Cotton Rope Basket for Blankets, Storage Basket for Throws | Charcoal Gray (21 inches x 13.8 inches)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 36,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given a query and a product, identify if the product is somewhat relevant to the query. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. Only output yes or no.\n\nInput:\nQuery: large wicker baskets for blankets wicker\nProduct: DENJA & CO Extra Large Blanket Basket for Living Room Storage - Woven Basket for Blanket Storage, Cotton Rope Basket for Blankets, Storage Basket for Throws | Charcoal Gray (21 inches x 13.8 inches)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | A | 64 | A | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the titles of Product 1 and Product 2, then choose the option that best describes the relation between the two products.
Input:
Product 1: Air Venturi Male Quick-Disconnect, 1/8 BSPP Female Threads, Steel, Rated to 5000 PSI, Incl. Delrin Seal
Product 2: Crosman CO2 Fill Adapter with 8-Inch Hose
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"index": 37,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the titles of Product 1 and Product 2, then choose the option that best describes the relation between the two products.\n\nInput:\nProduct 1: Air Venturi Male Quick-Disconnect, 1/8 BSPP Female Threads, Steel, Rated to 5000 PSI, Incl. Delrin Seal\nProduct 2: Crosman CO2 Fill Adapter with 8-Inch Hose\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 65 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.
Input:
Query: fireking safe key replacement
Product: SureSeal by FireKing SS104-A 1 Hour Fireproof Waterproof Safe Chest, Fits Legal/Letter Sized Documents,0.38 CU FT Storage Capacity,Taupe
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 38,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.\n\nInput:\nQuery: fireking safe key replacement\nProduct: SureSeal by FireKing SS104-A 1 Hour Fireproof Waterproof Safe Chest, Fits Legal/Letter Sized Documents,0.38 CU FT Storage Capacity,Taupe\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | A: very positive | 69 | A: very positive | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Carefully assess the user's review for any strong expressions of sentiment, either positive or negative. Based on your analysis, select the most fitting sentiment option from the provided list as output.
Input:
GREAT! best price you can find on these. don't pay 15-20$ for one sock. .
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: very positive",
"style": "rule"
} | {
"answer": "A: very positive",
"index": 39,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Carefully assess the user's review for any strong expressions of sentiment, either positive or negative. Based on your analysis, select the most fitting sentiment option from the provided list as output.\n\nInput:\nGREAT! best price you can find on these. don't pay 15-20$ for one sock. .\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | A: very positive | 70 | A: very positive | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.
Input:
A little pricey for what they do and how basic they are, but they have a reputable name behind them, which in this case proves to be on the good side. They work and have worked since i purchased them. That's it.
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: very positive",
"style": "rule"
} | {
"answer": "A: very positive",
"index": 40,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.\n\nInput:\nA little pricey for what they do and how basic they are, but they have a reputable name behind them, which in this case proves to be on the good side. They work and have worked since i purchased them. That's it.\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 71 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Answer yes if the product is a substitute for the query and no otherwise.
Input:
Query: food52
Product: Food52 Genius Recipes: 100 Recipes That Will Change the Way You Cook
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 41,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Answer yes if the product is a substitute for the query and no otherwise.\n\nInput:\nQuery: food52\nProduct: Food52 Genius Recipes: 100 Recipes That Will Change the Way You Cook\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | A,B | 72 | A,B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.
Input:
Query: car battery charger
Product list:
A: NOCO GENIUS1, 1-Amp Fully-Automatic Smart Charger, 6V and 12V Battery Charger, Battery Maintainer, Trickle Charger, and Battery Desulfator with Temperature Compensation
B: 2/10/25A 12V Smart Battery Charger/Maintainer Fully Automatic with Engine Start, Cable Clamps
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"index": 42,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.\n\nInput:\nQuery: car battery charger\nProduct list:\nA: NOCO GENIUS1, 1-Amp Fully-Automatic Smart Charger, 6V and 12V Battery Charger, Battery Maintainer, Trickle Charger, and Battery Desulfator with Temperature Compensation\nB: 2/10/25A 12V Smart Battery Charger/Maintainer Fully Automatic with Engine Start, Cable Clamps\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 73 | A: The product is relevant to the query, and satisfies all the query specifications. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Determine the relevance between the query and the product title provided, and select your response from one of the available options.
Input:
Query: iphonre 11 case
Product: LUXVEER iPhone 11 Case with Tempered Glass Screen Protector,Floral Flower Pattern on Soft Clear TPU Cover for Girls Women,Slim Fit Protective Phone Case for Apple iPhone 11 6.1 inch Purple Lavender
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: The product is relevant to the query, and satisfies all the query specifications.",
"style": "rule"
} | {
"answer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 43,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Determine the relevance between the query and the product title provided, and select your response from one of the available options.\n\nInput:\nQuery: iphonre 11 case\nProduct: LUXVEER iPhone 11 Case with Tempered Glass Screen Protector,Floral Flower Pattern on Soft Clear TPU Cover for Girls Women,Slim Fit Protective Phone Case for Apple iPhone 11 6.1 inch Purple Lavender\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | B,A | 75 | B,A | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.
Input:
Query: becoming documentary michelle obama
Product list:
A: Becoming
B: Becoming
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B,A",
"style": "rule"
} | {
"answer": "B,A",
"index": 44,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.\n\nInput:\nQuery: becoming documentary michelle obama\nProduct list:\nA: Becoming\nB: Becoming\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | A | 77 | A | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Predict whether two products are similar, whether two products are likely to be purchased or viewed together based on their titles. Choose your answer from the provided options.
Input:
Product 1: Berkley Hemostat Pliers (6")
Product 2: Rio Powerflex Trout Leaders, 9 Foot, 3 Pack
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"index": 45,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Predict whether two products are similar, whether two products are likely to be purchased or viewed together based on their titles. Choose your answer from the provided options.\n\nInput:\nProduct 1: Berkley Hemostat Pliers (6")\nProduct 2: Rio Powerflex Trout Leaders, 9 Foot, 3 Pack\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | B,A,C | 78 | B,A,C | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Rank the products A, B, C, ... based on their relevance to the provided query, and produce a ranked list with the most relevant product positioned at the top of the list.
Input:
Query: art supplies for kids age 7-9
Product list:
A: How to Draw 101 Animals (1)
B: Crayola Glitter Dots Sparkle Station Craft Kit, Gifts for Girls & Boys, Age 6+
C: The Complete Cookbook for Young Chefs: 100+ Recipes that You'll Love to Cook and Eat
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B,A,C",
"style": "rule"
} | {
"answer": "B,A,C",
"index": 46,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Rank the products A, B, C, ... based on their relevance to the provided query, and produce a ranked list with the most relevant product positioned at the top of the list.\n\nInput:\nQuery: art supplies for kids age 7-9\nProduct list:\nA: How to Draw 101 Animals (1)\nB: Crayola Glitter Dots Sparkle Station Craft Kit, Gifts for Girls & Boys, Age 6+\nC: The Complete Cookbook for Young Chefs: 100+ Recipes that You'll Love to Cook and Eat\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | A: very positive | 80 | A: very positive | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Determine the sentiment expressed by the user in her review from the provided choices, and respond by selecting one of the available options.
Input:
The knife met our expectations. It works well. The storage board is kind-of worthless or us. It is a flimsy design so we just tossed it.
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: very positive",
"style": "rule"
} | {
"answer": "A: very positive",
"index": 47,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Determine the sentiment expressed by the user in her review from the provided choices, and respond by selecting one of the available options.\n\nInput:\nThe knife met our expectations. It works well. The storage board is kind-of worthless or us. It is a flimsy design so we just tossed it.\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | A,B | 81 | A,B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Rank the products A, B, C, ... based on their relevance to the provided query, and produce a ranked list with the most relevant product positioned at the top of the list.
Input:
Query: meet addy american girl books
Product list:
A: By Connie Porter - Addy Boxed Set with Game (American Girl) (Pap/Brdgm)
B: The Care and Keeping of You: The Body Book for Younger Girls, Revised Edition (American Girl Library)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"index": 48,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Rank the products A, B, C, ... based on their relevance to the provided query, and produce a ranked list with the most relevant product positioned at the top of the list.\n\nInput:\nQuery: meet addy american girl books\nProduct list:\nA: By Connie Porter - Addy Boxed Set with Game (American Girl) (Pap/Brdgm)\nB: The Care and Keeping of You: The Body Book for Younger Girls, Revised Edition (American Girl Library)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | E: very negative | 82 | E: very negative | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Determine the sentiment expressed by the user in her review from the provided choices, and respond by selecting one of the available options.
Input:
Frame of stove was bent - didn't open the box right away notice it because there was no damage to the packaging. Too late to return it. I suspect a factory defect. I suspect I just got screwed.
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "E: very negative",
"style": "rule"
} | {
"answer": "E: very negative",
"index": 49,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Determine the sentiment expressed by the user in her review from the provided choices, and respond by selecting one of the available options.\n\nInput:\nFrame of stove was bent - didn't open the box right away notice it because there was no damage to the packaging. Too late to return it. I suspect a factory defect. I suspect I just got screwed.\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | B,A | 84 | B,A | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate each product title in the given list, assess its relevance to the given query, and then arrange the products in descending order of relevance, with the most relevant product at the top of the ranked list.
Input:
Query: womens business bodysuit
Product list:
A: Verdusa Women's Sleeveless High Turtleneck Tank Top Black L
B: MakeMeChic Women's Short Sleeve Tops Basic V-Neck Leotard Bodysuit Jumpsuit Black L
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B,A",
"style": "rule"
} | {
"answer": "B,A",
"index": 50,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate each product title in the given list, assess its relevance to the given query, and then arrange the products in descending order of relevance, with the most relevant product at the top of the ranked list.\n\nInput:\nQuery: womens business bodysuit\nProduct list:\nA: Verdusa Women's Sleeveless High Turtleneck Tank Top Black L\nB: MakeMeChic Women's Short Sleeve Tops Basic V-Neck Leotard Bodysuit Jumpsuit Black L\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 85 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Answer yes if the product is a substitute for the query and no otherwise.
Input:
Query: lengire sexy for women
Product: Avidlove Women's Lace Kimono Robe Babydoll Lingerie Mesh Nightgown See Through Robe Red S
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 51,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Answer yes if the product is a substitute for the query and no otherwise.\n\nInput:\nQuery: lengire sexy for women\nProduct: Avidlove Women's Lace Kimono Robe Babydoll Lingerie Mesh Nightgown See Through Robe Red S\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | B,A | 89 | B,A | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.
Input:
Query: couch pillows set of 4
Product list:
A: Longhui bedding Velvet Cream Throw Pillow Covers, 18 x 18 Inches Decorative Throw Pillows for Couch Sofa Bed, Beige Square Cushion Covers with Zipper Closure Set of 2
B: Ogrmar 4 Packs 18"x18" Premium White Throw Pillow Insert Hypoallergenic High-Resilient PP Cotton Stuffer Pillow Insert Square Form Sham Stuffer Decorative Pillow, Cushion (18" x 18")
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B,A",
"style": "rule"
} | {
"answer": "B,A",
"index": 52,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.\n\nInput:\nQuery: couch pillows set of 4\nProduct list:\nA: Longhui bedding Velvet Cream Throw Pillow Covers, 18 x 18 Inches Decorative Throw Pillows for Couch Sofa Bed, Beige Square Cushion Covers with Zipper Closure Set of 2\nB: Ogrmar 4 Packs 18\"x18\" Premium White Throw Pillow Insert Hypoallergenic High-Resilient PP Cotton Stuffer Pillow Insert Square Form Sham Stuffer Decorative Pillow, Cushion (18\" x 18\")\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | A,C,B | 91 | A,C,B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate each product title in the given list, assess its relevance to the given query, and then arrange the products in descending order of relevance, with the most relevant product at the top of the ranked list.
Input:
Query: carpio wrist rest
Product list:
A: iFine Upgrade Cleanable PU Leather Keyboard Wrist Rest Pad & Mouse Wrist Cushion Support for School, Office, Home, Computer, Laptop, Mac, Waterproof Lightweight Comfortable Pain Relief Typing -Pink
B: Hide & Drink, Leather Wrist Rest Pad, Elbow Forearm Cushion, Mouse Support, Computer Accessories, Handmade Includes 101 Year Warranty :: Bourbon Brown
C: Allsop 29538 Wrist Assist Memory Foam Ergonomic Wrist Rest, Black (ASP29538)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A,C,B",
"style": "rule"
} | {
"answer": "A,C,B",
"index": 53,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate each product title in the given list, assess its relevance to the given query, and then arrange the products in descending order of relevance, with the most relevant product at the top of the ranked list.\n\nInput:\nQuery: carpio wrist rest\nProduct list:\nA: iFine Upgrade Cleanable PU Leather Keyboard Wrist Rest Pad & Mouse Wrist Cushion Support for School, Office, Home, Computer, Laptop, Mac, Waterproof Lightweight Comfortable Pain Relief Typing -Pink\nB: Hide & Drink, Leather Wrist Rest Pad, Elbow Forearm Cushion, Mouse Support, Computer Accessories, Handmade Includes 101 Year Warranty :: Bourbon Brown\nC: Allsop 29538 Wrist Assist Memory Foam Ergonomic Wrist Rest, Black (ASP29538)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | A: very positive | 92 | A: very positive | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the user's review text and determine the overall sentiment expressed, then choose the corresponding sentiment option from the provided list (A: very positive, B: positive, C: neutral, D: negative, E: very negative) based on the identified sentiment.
Input:
This is easy to hold. It has sturdy bristles that are strong, yet flexible enough to clean everything from potatoes to apples to tomatoes. It has held up great. I usually clean it by tossing it into the dishwasher.
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: very positive",
"style": "rule"
} | {
"answer": "A: very positive",
"index": 54,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the user's review text and determine the overall sentiment expressed, then choose the corresponding sentiment option from the provided list (A: very positive, B: positive, C: neutral, D: negative, E: very negative) based on the identified sentiment.\n\nInput:\nThis is easy to hold. It has sturdy bristles that are strong, yet flexible enough to clean everything from potatoes to apples to tomatoes. It has held up great. I usually clean it by tossing it into the dishwasher.\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 93 | A: The product is relevant to the query, and satisfies all the query specifications. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the relevance between the query and product title, and choose the most accurate option from the given options.
Input:
Query: andis master clipper
Product: Andis SpeedMaster II Hair Clipper with Adjustable Blade, Silver, Model PM4 (24145)
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: The product is relevant to the query, and satisfies all the query specifications.",
"style": "rule"
} | {
"answer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 55,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the relevance between the query and product title, and choose the most accurate option from the given options.\n\nInput:\nQuery: andis master clipper\nProduct: Andis SpeedMaster II Hair Clipper with Adjustable Blade, Silver, Model PM4 (24145)\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | D: negative | 94 | D: negative | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.
Input:
I thought I was buying a pop up but some assembly is required and I am not good at putting anything together. In all fairness this looks really well made and I'm sure it would be great at your campsite. I wanted to use the shelter at a craft show so I could stand or sit in it to get out of the weather and it would have been great but took me too long to try to put the rods together so I just gave up.
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "D: negative",
"style": "rule"
} | {
"answer": "D: negative",
"index": 56,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.\n\nInput:\nI thought I was buying a pop up but some assembly is required and I am not good at putting anything together. In all fairness this looks really well made and I'm sure it would be great at your campsite. I wanted to use the shelter at a craft show so I could stand or sit in it to get out of the weather and it would have been great but took me too long to try to put the rods together so I just gave up.\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | A,B | 95 | A,B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the relevance of each product title in the input to the given query, and then sort the products in descending order of relevance, placing the most relevant product at the top of the ranked list.
Input:
Query: pack of nike shorts men
Product list:
A: Nike Men's Sportswear Club Short Jersey, Black/White, Large
B: Nike Men's Core Flex Shorts, Dri-FIT Men's Golf Shorts with Sweat-Wicking Fabric, Khaki/Khaki, 32
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"index": 57,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the relevance of each product title in the input to the given query, and then sort the products in descending order of relevance, placing the most relevant product at the top of the ranked list.\n\nInput:\nQuery: pack of nike shorts men\nProduct list:\nA: Nike Men's Sportswear Club Short Jersey, Black/White, Large\nB: Nike Men's Core Flex Shorts, Dri-FIT Men's Golf Shorts with Sweat-Wicking Fabric, Khaki/Khaki, 32\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 96 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.
Input:
Query: feather swaddle sets for girls
Product: Baby Sleep Swaddle Blanket Large and Bow Headband Set 47 inch X 47 inch Feather
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 58,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.\n\nInput:\nQuery: feather swaddle sets for girls\nProduct: Baby Sleep Swaddle Blanket Large and Bow Headband Set 47 inch X 47 inch Feather\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 97 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Answer yes if the product is a substitute for the query and no otherwise.
Input:
Query: mount plymouth florida
Product: Retro Bayou Mount Plymouth, Florida Bigfoot Souvenir Tank Top
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 59,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Answer yes if the product is a substitute for the query and no otherwise.\n\nInput:\nQuery: mount plymouth florida\nProduct: Retro Bayou Mount Plymouth, Florida Bigfoot Souvenir Tank Top\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | C,B,A | 98 | C,B,A | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.
Input:
Query: baby shark costume dog
Product list:
A: Pinkfong Baby Shark Official Song Doll - Mommy Shark - By WowWee
B: NACOCO Cowboy Rider Dog Costume for Dogs Clothes Knight Style with Doll and Hat for Halloween Day Pet Costume (S)
C: Mogoko Funny Dog Cat Shark Costumes, Pet Halloween Christmas Cosplay Dress, Adorable Blue Shark Pet Costume,Animal Fleece Hoodie Warm Outfits Clothes (XL Size)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "C,B,A",
"style": "rule"
} | {
"answer": "C,B,A",
"index": 60,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.\n\nInput:\nQuery: baby shark costume dog\nProduct list:\nA: Pinkfong Baby Shark Official Song Doll - Mommy Shark - By WowWee\nB: NACOCO Cowboy Rider Dog Costume for Dogs Clothes Knight Style with Doll and Hat for Halloween Day Pet Costume (S)\nC: Mogoko Funny Dog Cat Shark Costumes, Pet Halloween Christmas Cosplay Dress, Adorable Blue Shark Pet Costume,Animal Fleece Hoodie Warm Outfits Clothes (XL Size)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | B | 99 | B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.
Input:
Product 1: Scythe ITA KAZE 3-Pin Slim Hard Disk Cooler (SCIT-1000)
Product 2: StarTech.com 120x25mm Dual Ball Bearing Computer Case Fan with LP4 Connector FANBOX12 (Black)
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"index": 61,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.\n\nInput:\nProduct 1: Scythe ITA KAZE 3-Pin Slim Hard Disk Cooler (SCIT-1000)\nProduct 2: StarTech.com 120x25mm Dual Ball Bearing Computer Case Fan with LP4 Connector FANBOX12 (Black)\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | B | 101 | B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the titles of Product 1 and Product 2, then choose the option that best describes the relation between the two products.
Input:
Product 1: GLD Commercial Soft Tip Bar Darts-Set of 12 with 250 Dart Tips
Product 2: Regent Halex Pack of 50 Softech Dart Set, 4 Packs
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"index": 62,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the titles of Product 1 and Product 2, then choose the option that best describes the relation between the two products.\n\nInput:\nProduct 1: GLD Commercial Soft Tip Bar Darts-Set of 12 with 250 Dart Tips\nProduct 2: Regent Halex Pack of 50 Softech Dart Set, 4 Packs\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 102 | A: The product is relevant to the query, and satisfies all the query specifications. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the query and product title to determine the relevance between the query and product, and select the appropriate option from the provided options.
Input:
Query: platform bed frame queen
Product: Zinus Luis Quick Lock 14 Inch Metal Platform Bed Frame / Mattress Foundation / No Box Spring Needed, Queen
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: The product is relevant to the query, and satisfies all the query specifications.",
"style": "rule"
} | {
"answer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 63,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the query and product title to determine the relevance between the query and product, and select the appropriate option from the provided options.\n\nInput:\nQuery: platform bed frame queen\nProduct: Zinus Luis Quick Lock 14 Inch Metal Platform Bed Frame / Mattress Foundation / No Box Spring Needed, Queen\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | A | 103 | A | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the titles of Product 1 and Product 2, then choose the option that best describes the relation between the two products.
Input:
Product 1: Jim Shore Disney Traditions Beauty and The Beast Be Kind Belle Figurine 4050410
Product 2: Jim Shore for Enesco Disney Traditions Snow White with Castle Dress Figurine, 6"
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"index": 64,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the titles of Product 1 and Product 2, then choose the option that best describes the relation between the two products.\n\nInput:\nProduct 1: Jim Shore Disney Traditions Beauty and The Beast Be Kind Belle Figurine 4050410\nProduct 2: Jim Shore for Enesco Disney Traditions Snow White with Castle Dress Figurine, 6"\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 105 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.
Input:
Query: airforce1
Product: Nike Air Force 1 High '07 - 315121 115
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 65,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.\n\nInput:\nQuery: airforce1\nProduct: Nike Air Force 1 High '07 - 315121 115\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | A,B | 106 | A,B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate each product title in the given list, assess its relevance to the given query, and then arrange the products in descending order of relevance, with the most relevant product at the top of the ranked list.
Input:
Query: bag heat sealer
Product list:
A: 100 Pcs 5x7 (O) Clear Flat Cello/Cellophane Treat Bags Good for Bakery, Cookies, Candies
B: Pack It Chic - 4 X 6 (1000 Pack) Clear Resealable Polypropylene Bags - Fits 4X6 Prints, Photos, A1 Cards, Envelopes - Self Seal
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"index": 66,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate each product title in the given list, assess its relevance to the given query, and then arrange the products in descending order of relevance, with the most relevant product at the top of the ranked list.\n\nInput:\nQuery: bag heat sealer\nProduct list:\nA: 100 Pcs 5x7 (O) Clear Flat Cello/Cellophane Treat Bags Good for Bakery, Cookies, Candies\nB: Pack It Chic - 4 X 6 (1000 Pack) Clear Resealable Polypropylene Bags - Fits 4X6 Prints, Photos, A1 Cards, Envelopes - Self Seal\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | A: very positive | 107 | A: very positive | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Determine the sentiment expressed by the user in her review from the provided choices, and respond by selecting one of the available options.
Input:
I was impressed by the quality of this product. It is much sturdier and roomier than expected. It is perfect for storing all of our CD's and DVD's. The carry handle is a plus since it makes it much better for moving from room to room. Since we are in the process of downsizing from a house to an apartment, this works perfectly with efficiently storing everything in one small space.
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: very positive",
"style": "rule"
} | {
"answer": "A: very positive",
"index": 67,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Determine the sentiment expressed by the user in her review from the provided choices, and respond by selecting one of the available options.\n\nInput:\nI was impressed by the quality of this product. It is much sturdier and roomier than expected. It is perfect for storing all of our CD's and DVD's. The carry handle is a plus since it makes it much better for moving from room to room. Since we are in the process of downsizing from a house to an apartment, this works perfectly with efficiently storing everything in one small space.\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | A,B | 108 | A,B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Rank the products A, B, C, ... based on their relevance to the provided query, and produce a ranked list with the most relevant product positioned at the top of the list.
Input:
Query: magnetic tips for android
Product list:
A: Ankndo Magnetic Phone Cable Adapter (4-Pack) Magnetic Connector Tip Heads 360 Rotating Strong Magnetic Plug for Micro USB Android Device
B: Light Up LED Magnetic 3 in 1 USB Charging Cable iProduct Android Charger Cord Magnet Tips Pack 3ft,Micro USB Type C Magnetic Charging Cable USB C Cable Magnetic Fast Charging Magnetic Cable for Phone
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"index": 68,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Rank the products A, B, C, ... based on their relevance to the provided query, and produce a ranked list with the most relevant product positioned at the top of the list.\n\nInput:\nQuery: magnetic tips for android\nProduct list:\nA: Ankndo Magnetic Phone Cable Adapter (4-Pack) Magnetic Connector Tip Heads 360 Rotating Strong Magnetic Plug for Micro USB Android Device\nB: Light Up LED Magnetic 3 in 1 USB Charging Cable iProduct Android Charger Cord Magnet Tips Pack 3ft,Micro USB Type C Magnetic Charging Cable USB C Cable Magnetic Fast Charging Magnetic Cable for Phone\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 111 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Assess the relevance of a product to a given query by determining if it can function as a substitute, despite not fully meeting certain aspects of the query. Provide a binary output of yes or no based on this evaluation.
Input:
Query: 3 qt cheat sheets for insta=pot
Product: 3 Pack Magnetic Cheat Sheet Compatible with Instant Pot Food Images Magnet Cooking Times Accessories for 45 Common Prep Functions (Small)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 69,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Assess the relevance of a product to a given query by determining if it can function as a substitute, despite not fully meeting certain aspects of the query. Provide a binary output of yes or no based on this evaluation.\n\nInput:\nQuery: 3 qt cheat sheets for insta=pot\nProduct: 3 Pack Magnetic Cheat Sheet Compatible with Instant Pot Food Images Magnet Cooking Times Accessories for 45 Common Prep Functions (Small)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 115 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given a query and a product, identify if the product is somewhat relevant to the query. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. Only output yes or no.
Input:
Query: what was books
Product: What Was the Age of the Dinosaurs?
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 70,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given a query and a product, identify if the product is somewhat relevant to the query. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. Only output yes or no.\n\nInput:\nQuery: what was books\nProduct: What Was the Age of the Dinosaurs?\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 116 | A: The product is relevant to the query, and satisfies all the query specifications. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the query and product title to determine the relevance between the query and product, and select the appropriate option from the provided options.
Input:
Query: airpods charging case only
Product: Wireless Charger Case Compatible for AirPod Pro Charging Case Replacement with Bluetooth Pairing Sync Button , Black
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: The product is relevant to the query, and satisfies all the query specifications.",
"style": "rule"
} | {
"answer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 71,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the query and product title to determine the relevance between the query and product, and select the appropriate option from the provided options.\n\nInput:\nQuery: airpods charging case only\nProduct: Wireless Charger Case Compatible for AirPod Pro Charging Case Replacement with Bluetooth Pairing Sync Button , Black\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. | 117 | B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the relevance between the query and product title, and choose the most accurate option from the given options.
Input:
Query: mood necklaces color changing
Product: PAVOI 14K White Gold Plated Round Created Blue Opal Necklace | Opal Necklaces for Women
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.",
"style": "rule"
} | {
"answer": "B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.",
"index": 72,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the relevance between the query and product title, and choose the most accurate option from the given options.\n\nInput:\nQuery: mood necklaces color changing\nProduct: PAVOI 14K White Gold Plated Round Created Blue Opal Necklace | Opal Necklaces for Women\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 119 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.
Input:
Query: work tshirts for women
Product: icyzone Workout Running Tshirts for Women - Fitness Athletic Yoga Tops Exercise Gym Shirts (Pack of 3) (M, Royal Blue/Purple/Charcoal)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 73,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.\n\nInput:\nQuery: work tshirts for women\nProduct: icyzone Workout Running Tshirts for Women - Fitness Athletic Yoga Tops Exercise Gym Shirts (Pack of 3) (M, Royal Blue/Purple/Charcoal)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 120 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.
Input:
Query: gluten free dumpling wrappers
Product: NUCO All Natural, Paleo, Gluten Free, Vegan Non-GMO, Kosher Raw Veggie NUCO Coconut Wraps Original Flavor. Low Carb and Yeast Free 10 Count (Two Packs of Five Wraps Each)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 74,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.\n\nInput:\nQuery: gluten free dumpling wrappers\nProduct: NUCO All Natural, Paleo, Gluten Free, Vegan Non-GMO, Kosher Raw Veggie NUCO Coconut Wraps Original Flavor. Low Carb and Yeast Free 10 Count (Two Packs of Five Wraps Each)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | B | 121 | B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.
Input:
Product 1: Fuji 35mm QuickSnap Single Use Camera, 400 ASA (FUJ7033661) Category: Single Use Cameras (Discontinued by Manufacturer), 10 Count
Product 2: Fujifilm Quick Snap Waterproof 35mm Single Use Camera, 4 Pack (Blue/Green/White)
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"index": 75,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.\n\nInput:\nProduct 1: Fuji 35mm QuickSnap Single Use Camera, 400 ASA (FUJ7033661) Category: Single Use Cameras (Discontinued by Manufacturer), 10 Count\nProduct 2: Fujifilm Quick Snap Waterproof 35mm Single Use Camera, 4 Pack (Blue/Green/White)\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 123 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Answer yes if the product is a substitute for the query and no otherwise.
Input:
Query: gatorade prime energy chews
Product: Clif BLOKS - Energy Chews - 8 Flavor Variety Pack - Non-GMO - Plant Based Food - Fast Carbs for Cycling and Running - Workout Snack (2.1 Ounce Packet, 8 Count)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 76,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Answer yes if the product is a substitute for the query and no otherwise.\n\nInput:\nQuery: gatorade prime energy chews\nProduct: Clif BLOKS - Energy Chews - 8 Flavor Variety Pack - Non-GMO - Plant Based Food - Fast Carbs for Cycling and Running - Workout Snack (2.1 Ounce Packet, 8 Count)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | A,B | 124 | A,B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.
Input:
Query: naruto headband
Product list:
A: TryMarket(TM) Hot Anime Naruto Kakashi Sasuke Black Leaf Village Konoha Ninja Headband Cosplay
B: Anime Stickers 100Pcs ( with Anime Keychain).Gifts Anime Stickers Merch for Laptop Skateboard Luggage Keychain Anime Stickers for Teens
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"index": 77,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.\n\nInput:\nQuery: naruto headband\nProduct list:\nA: TryMarket(TM) Hot Anime Naruto Kakashi Sasuke Black Leaf Village Konoha Ninja Headband Cosplay\nB: Anime Stickers 100Pcs ( with Anime Keychain).Gifts Anime Stickers Merch for Laptop Skateboard Luggage Keychain Anime Stickers for Teens\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | B,A | 125 | B,A | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.
Input:
Query: 'i am not crazy juste think differently' tshirt
Product list:
A: Senior Texting Graphic Novelty Sarcastic Funny T Shirt XL Black
B: My Personality Graphic Novelty Sarcastic Funny T Shirt XL Black
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B,A",
"style": "rule"
} | {
"answer": "B,A",
"index": 78,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.\n\nInput:\nQuery: 'i am not crazy juste think differently' tshirt\nProduct list:\nA: Senior Texting Graphic Novelty Sarcastic Funny T Shirt XL Black\nB: My Personality Graphic Novelty Sarcastic Funny T Shirt XL Black\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | B: positive | 126 | B: positive | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.
Input:
Works great. There was a little leakage but the big thing for me is that it kept the sun off my head.
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B: positive",
"style": "rule"
} | {
"answer": "B: positive",
"index": 79,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.\n\nInput:\nWorks great. There was a little leakage but the big thing for me is that it kept the sun off my head.\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | C: neutral | 128 | C: neutral | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.
Input:
The ice cream scoop is fine. Works well. However, I was sent the wrong size. I ordered a larger size than I received. The product was sent to one of my business locations and I did not realize it was the wrong size until it was already being used by my employees. More trouble than worth to address the problem at that point.
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "C: neutral",
"style": "rule"
} | {
"answer": "C: neutral",
"index": 80,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.\n\nInput:\nThe ice cream scoop is fine. Works well. However, I was sent the wrong size. I ordered a larger size than I received. The product was sent to one of my business locations and I did not realize it was the wrong size until it was already being used by my employees. More trouble than worth to address the problem at that point.\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Sentiment_Analysis | rule | A: very positive | 129 | A: very positive | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Carefully assess the user's review for any strong expressions of sentiment, either positive or negative. Based on your analysis, select the most fitting sentiment option from the provided list as output.
Input:
This allows you to take pictures and release the shutter without having to touch your camera. This helps eliminate vibrations and shaking, allowing for great pictures, even with longer exposures. It was a good price, is very simple to use, is small and easy to carry and is exactly what I needed.
Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: very positive",
"style": "rule"
} | {
"answer": "A: very positive",
"index": 81,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Carefully assess the user's review for any strong expressions of sentiment, either positive or negative. Based on your analysis, select the most fitting sentiment option from the provided list as output.\n\nInput:\nThis allows you to take pictures and release the shutter without having to touch your camera. This helps eliminate vibrations and shaking, allowing for great pictures, even with longer exposures. It was a good price, is very simple to use, is small and easy to carry and is exactly what I needed.\n\nOptions:\nA: very positive\nB: positive\nC: neutral\nD: negative\nE: very negative\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 130 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.
Input:
Query: the man in the high castle
Product: Rites of Passage
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 82,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.\n\nInput:\nQuery: the man in the high castle\nProduct: Rites of Passage\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 132 | A: The product is relevant to the query, and satisfies all the query specifications. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the query and product title to determine the relevance between the query and product, and select the appropriate option from the provided options.
Input:
Query: fab lip therapy
Product: Jack Black, Intense Therapy Lip Balm SPF 25, 0.25ounce
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: The product is relevant to the query, and satisfies all the query specifications.",
"style": "rule"
} | {
"answer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 83,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the query and product title to determine the relevance between the query and product, and select the appropriate option from the provided options.\n\nInput:\nQuery: fab lip therapy\nProduct: Jack Black, Intense Therapy Lip Balm SPF 25, 0.25ounce\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | B | 133 | B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given the title of two products, predict if the two products are similar, if the two products will be purchased or viewed together. Answer only from the options.
Input:
Product 1: Coaster Home Furnishings Transitional Screen, Cappuccino
Product 2: Roundhill Furniture 3-Panel Oriental Shoji Room Divider Screen, Black
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"index": 84,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given the title of two products, predict if the two products are similar, if the two products will be purchased or viewed together. Answer only from the options.\n\nInput:\nProduct 1: Coaster Home Furnishings Transitional Screen, Cappuccino\nProduct 2: Roundhill Furniture 3-Panel Oriental Shoji Room Divider Screen, Black\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | B | 135 | B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Predict whether two products are similar, whether two products are likely to be purchased or viewed together based on their titles. Choose your answer from the provided options.
Input:
Product 1: Double Handcrafted MINIATURE HAND BLOWN GLASS Scorpion FIGURINE Collection
Product 2: Handmade Swimming Octopus Art Glass Blown Sea Animal Figurine - No.3
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"index": 85,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Predict whether two products are similar, whether two products are likely to be purchased or viewed together based on their titles. Choose your answer from the provided options.\n\nInput:\nProduct 1: Double Handcrafted MINIATURE HAND BLOWN GLASS Scorpion FIGURINE Collection\nProduct 2: Handmade Swimming Octopus Art Glass Blown Sea Animal Figurine - No.3\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | A,B,C | 137 | A,B,C | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the relevance of each product title in the input to the given query, and then sort the products in descending order of relevance, placing the most relevant product at the top of the ranked list.
Input:
Query: sexy white plus size dress
Product list:
A: KOH KOH Womens Long Cap Short Sleeve V-Neck Flowy Cocktail Slimming Summer Sexy Casual Formal Sun Sundress Work Cute Gown Gowns Maxi Dress Dresses, Black L 12-14
B: PRIMODA Women's Sexy Neon Asymmetrical Spaghetti Strap Dress Deep V-Neck Sleeveless Bodycon Midi Club Dress(Black,M)
C: Womens Button Down Shirts Dresses Shirred Long Sleeve Blouse Tops Loose Ruched Flowy Dress Yellow
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A,B,C",
"style": "rule"
} | {
"answer": "A,B,C",
"index": 86,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the relevance of each product title in the input to the given query, and then sort the products in descending order of relevance, placing the most relevant product at the top of the ranked list.\n\nInput:\nQuery: sexy white plus size dress\nProduct list:\nA: KOH KOH Womens Long Cap Short Sleeve V-Neck Flowy Cocktail Slimming Summer Sexy Casual Formal Sun Sundress Work Cute Gown Gowns Maxi Dress Dresses, Black L 12-14\nB: PRIMODA Women's Sexy Neon Asymmetrical Spaghetti Strap Dress Deep V-Neck Sleeveless Bodycon Midi Club Dress(Black,M)\nC: Womens Button Down Shirts Dresses Shirred Long Sleeve Blouse Tops Loose Ruched Flowy Dress Yellow\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | B | 138 | B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Given the title of two products, predict if the two products are similar, if the two products will be purchased or viewed together. Answer only from the options.
Input:
Product 1: Aquatic AV AQ-MP-5UBT-H Factory Harley Davidson Replacement AM/FM Radio with 3" Color LCD Display, Bluetooth & MP3 Media Player Stereo
Product 2: J&M Performance 7-1/4" Fairing Speaker Kit HCSK-7252GTM
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"index": 87,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Given the title of two products, predict if the two products are similar, if the two products will be purchased or viewed together. Answer only from the options.\n\nInput:\nProduct 1: Aquatic AV AQ-MP-5UBT-H Factory Harley Davidson Replacement AM/FM Radio with 3" Color LCD Display, Bluetooth & MP3 Media Player Stereo\nProduct 2: J&M Performance 7-1/4" Fairing Speaker Kit HCSK-7252GTM\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | B,A,C | 140 | B,A,C | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate each product title in the given list, assess its relevance to the given query, and then arrange the products in descending order of relevance, with the most relevant product at the top of the ranked list.
Input:
Query: kids girls boxing for halloween costumes
Product list:
A: Rocky Balboa BLACK Movie italian Stallion Boxing Robe
B: Lil' Champ Boxer Costume Medium (8-10)
C: Dreamgirl Women's World Champion Costume, Black/Gold, Medium
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B,A,C",
"style": "rule"
} | {
"answer": "B,A,C",
"index": 88,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate each product title in the given list, assess its relevance to the given query, and then arrange the products in descending order of relevance, with the most relevant product at the top of the ranked list.\n\nInput:\nQuery: kids girls boxing for halloween costumes\nProduct list:\nA: Rocky Balboa BLACK Movie italian Stallion Boxing Robe\nB: Lil' Champ Boxer Costume Medium (8-10)\nC: Dreamgirl Women's World Champion Costume, Black/Gold, Medium\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | B,C,A | 141 | B,C,A | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the relevance of each product title in the input to the given query, and then sort the products in descending order of relevance, placing the most relevant product at the top of the ranked list.
Input:
Query: seafood steam pot
Product list:
A: Steamer Basket Stainless Steel Vegetable Steamer Basket Folding Steamer Insert for Veggie Fish Seafood Cooking, Expandable to Fit Various Size Pot (5.1" to 9")
B: Granite Ware Enamel on Steel Multiuse Pot, Seafood / Tamale / Stock Pot includes steamer insert, 15.5-Quart, Black
C: Cook N Home 4-Piece 8 Quart Multipots, Stainless Steel Pasta Cooker Steamer
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B,C,A",
"style": "rule"
} | {
"answer": "B,C,A",
"index": 89,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the relevance of each product title in the input to the given query, and then sort the products in descending order of relevance, placing the most relevant product at the top of the ranked list.\n\nInput:\nQuery: seafood steam pot\nProduct list:\nA: Steamer Basket Stainless Steel Vegetable Steamer Basket Folding Steamer Insert for Veggie Fish Seafood Cooking, Expandable to Fit Various Size Pot (5.1\" to 9\")\nB: Granite Ware Enamel on Steel Multiuse Pot, Seafood / Tamale / Stock Pot includes steamer insert, 15.5-Quart, Black\nC: Cook N Home 4-Piece 8 Quart Multipots, Stainless Steel Pasta Cooker Steamer\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | D: The product is irrelevant to the query. | 142 | D: The product is irrelevant to the query. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Determine the relevance between the query and the product title provided, and select your response from one of the available options.
Input:
Query: #1 best and not expensive bath back brush cream color
Product: TubShroom Tub Hair Catcher Drain Protector, Fits 1.5"-1.75", Gray
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "D: The product is irrelevant to the query.",
"style": "rule"
} | {
"answer": "D: The product is irrelevant to the query.",
"index": 90,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Determine the relevance between the query and the product title provided, and select your response from one of the available options.\n\nInput:\nQuery: #1 best and not expensive bath back brush cream color\nProduct: TubShroom Tub Hair Catcher Drain Protector, Fits 1.5\"-1.75\", Gray\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | B,A | 150 | B,A | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Rank the products A, B, C, ... based on their relevance to the provided query, and produce a ranked list with the most relevant product positioned at the top of the list.
Input:
Query: r134a self sealing can tap
Product list:
A: InterDynamics EZ Chill Car Air Conditioner R134A Refrigerant Gauge and Hose, Reusable AC Recharge Kit, EZC110-4
B: FJC 6037 R-134a U-Charge Hose and Gauge for Self-sealing Valve Cans
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B,A",
"style": "rule"
} | {
"answer": "B,A",
"index": 91,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Rank the products A, B, C, ... based on their relevance to the provided query, and produce a ranked list with the most relevant product positioned at the top of the list.\n\nInput:\nQuery: r134a self sealing can tap\nProduct list:\nA: InterDynamics EZ Chill Car Air Conditioner R134A Refrigerant Gauge and Hose, Reusable AC Recharge Kit, EZC110-4\nB: FJC 6037 R-134a U-Charge Hose and Gauge for Self-sealing Valve Cans\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Multiclass_Product_Classification | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 151 | A: The product is relevant to the query, and satisfies all the query specifications. | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Determine the relevance between the query and the product title provided, and select your response from one of the available options.
Input:
Query: sexy baby doll nightie
Product: Avidlove Women Lingerie Nightgown Lace Babydoll Sleepwear Chemise Mini Full Slip Dress Black L
Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A: The product is relevant to the query, and satisfies all the query specifications.",
"style": "rule"
} | {
"answer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 92,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Determine the relevance between the query and the product title provided, and select your response from one of the available options.\n\nInput:\nQuery: sexy baby doll nightie\nProduct: Avidlove Women Lingerie Nightgown Lace Babydoll Sleepwear Chemise Mini Full Slip Dress Black L\n\nOptions:\nA: The product is relevant to the query, and satisfies all the query specifications.\nB: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.\nC: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.\nD: The product is irrelevant to the query.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 154 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Answer yes if the product is a substitute for the query and no otherwise.
Input:
Query: woodland baby mobile
Product: Nested Chick Woodland Mobile | Woodland Baby Mobile | Woodland Mobile for Crib | Woodland Nursery Mobile | Baby Mobile Forest Animals | Forest Crib Mobile | Woodland Nursery Decor for Girls
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 93,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Answer yes if the product is a substitute for the query and no otherwise.\n\nInput:\nQuery: woodland baby mobile\nProduct: Nested Chick Woodland Mobile | Woodland Baby Mobile | Woodland Mobile for Crib | Woodland Nursery Mobile | Baby Mobile Forest Animals | Forest Crib Mobile | Woodland Nursery Decor for Girls\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | B | 155 | B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the titles of Product 1 and Product 2 to assess their similarity and whether they are likely to be purchased or viewed together. Then, select the appropriate option.
Input:
Product 1: LG Electronics BH6730S 1000 Watt 3D Home Theater System (2014 Model)
Product 2: Sony BDVE3100 5.1 Channel Home Theater System
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"index": 94,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the titles of Product 1 and Product 2 to assess their similarity and whether they are likely to be purchased or viewed together. Then, select the appropriate option.\n\nInput:\nProduct 1: LG Electronics BH6730S 1000 Watt 3D Home Theater System (2014 Model)\nProduct 2: Sony BDVE3100 5.1 Channel Home Theater System\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | yes | 157 | yes | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Answer yes if the product is a substitute for the query and no otherwise.
Input:
Query: paper round tablecloths
Product: Daily Chef, 3-Ply Tissue Paper Table Covers, White, Pack of 15
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "yes",
"style": "rule"
} | {
"answer": "yes",
"index": 95,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Answer yes if the product is a substitute for the query and no otherwise.\n\nInput:\nQuery: paper round tablecloths\nProduct: Daily Chef, 3-Ply Tissue Paper Table Covers, White, Pack of 15\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | B | 159 | B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.
Input:
Product 1: BELLA (13694) High Power Juice Extractor, Stainless Steel
Product 2: BELLA 13454 Juice Extractor, White with Stainless Steel
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"index": 96,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.\n\nInput:\nProduct 1: BELLA (13694) High Power Juice Extractor, Stainless Steel\nProduct 2: BELLA 13454 Juice Extractor, White with Stainless Steel\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Substitute_Identification | rule | no | 169 | no | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.
Input:
Query: phone charger apple watch
Product: Seneo 2 in 1 Wireless Charger, Dual Wireless Charging Station with iWatch Charger Stand for iWatch 5/4/3/2, 7.5W Qi Fast Charger for iPhone 11/11 Pro Max/XR/XS/X/8/8P (No iWatch Cable or Adapter)
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"index": 97,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.\n\nInput:\nQuery: phone charger apple watch\nProduct: Seneo 2 in 1 Wireless Charger, Dual Wireless Charging Station with iWatch Charger Stand for iWatch 5/4/3/2, 7.5W Qi Fast Charger for iPhone 11/11 Pro Max/XR/XS/X/8/8P (No iWatch Cable or Adapter)\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Product_Relation_Prediction | rule | B | 171 | B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate the titles of Product 1 and Product 2, then choose the option that best describes the relation between the two products.
Input:
Product 1: Cuisinart GR-4N 5-in-1 Griddler, Silver, Black Dials
Product 2: George Foreman Champ Grill
Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"index": 98,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate the titles of Product 1 and Product 2, then choose the option that best describes the relation between the two products.\n\nInput:\nProduct 1: Cuisinart GR-4N 5-in-1 Griddler, Silver, Black Dials\nProduct 2: George Foreman Champ Grill\n\nOptions:\nA: Users who buy product 1 may also buy product 2.\nB: Users who view product 1 may also view product 2.\nC: The product 1 is similar with the product 2.\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
IND_Diverse_Instruction | [
{
"content": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning p... | Query_Product_Rank | rule | A,B | 175 | A,B | <|im_start|>system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.
<|im_end|>
<|im_start|>user
Instruction: Evaluate each product title in the given list, assess its relevance to the given query, and then arrange the products in descending order of relevance, with the most relevant product at the top of the ranked list.
Input:
Query: snare hard case
Product list:
A: SKB 8 X 14 Tom/Snare Case with Padded Interior
B: HARDCASE HROCKFUS3 Drum Case Set for 'Rock/Fusion' Kits, 5 Pieces
<|im_end|>
<|im_start|>assistant
<think> | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"index": 99,
"question": "<|im_start|>system\nYou are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. Now the user gives an instruction that describes a task and ask you write an answer that appropriately completes the request. After thinking, when you finally reach a conclusion, clearly state the answer within <answer> </answer> tags.\n<|im_end|>\n<|im_start|>user\nInstruction: Evaluate each product title in the given list, assess its relevance to the given query, and then arrange the products in descending order of relevance, with the most relevant product at the top of the ranked list.\n\nInput:\nQuery: snare hard case\nProduct list:\nA: SKB 8 X 14 Tom/Snare Case with Padded Interior\nB: HARDCASE HROCKFUS3 Drum Case Set for 'Rock/Fusion' Kits, 5 Pieces\n<|im_end|>\n<|im_start|>assistant\n<think>",
"split": "train"
} |
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