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"
} |
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