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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...
Answerability_Prediction
<|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> <a...
no
rule
no
train
0
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> <a...
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...
Attribute_Value_Extraction
<|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> <a...
[{"attribute": "preparation", "value": "None", "source": "None"}]
rule
[{"attribute": "preparation", "value": "None", "source": "None"}]
train
4
[{"attribute": "preparation", "value": "None", "source": "None"}]
<|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> <a...
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...
Answerability_Prediction
<|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> <a...
no
rule
no
train
7
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> <a...
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...
Answer_Generation
<|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> <a...
Since I attached the magnet the compass still works OK but the directional arrow on google maps rotates randomly, makes it very difficult to know which way your traveling. After I removed the magnet the phone still acts the same way.I can't be sure if the magnet was the cause but its pretty broken now and it may be as...
rule
Since I attached the magnet the compass still works OK but the directional arrow on google maps rotates randomly, makes it very difficult to know which way your traveling. After I removed the magnet the phone still acts the same way.I can't be sure if the magnet was the cause but its pretty broken now and it may be as...
train
9
Since I attached the magnet the compass still works OK but the directional arrow on google maps rotates randomly, makes it very difficult to know which way your traveling. After I removed the magnet the phone still acts the same way.I can't be sure if the magnet was the cause but its pretty broken now and it may be as...
<|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> <a...
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...
Answer_Generation
<|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> <a...
Phil - HCC20-28 is the model number of the filter chassis and HCF20-16 the model number of the filter. Hope this helps.Alan
rule
Phil - HCC20-28 is the model number of the filter chassis and HCF20-16 the model number of the filter. Hope this helps.Alan
train
10
Phil - HCC20-28 is the model number of the filter chassis and HCF20-16 the model number of the filter. Hope this helps.Alan
<|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> <a...
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
<|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> <a...
J
rule
J
train
11
J
<|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> <a...
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...
Attribute_Value_Extraction
<|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> <a...
[{"attribute": "type", "value": "boot", "source": "product title"}, {"attribute": "type", "value": "boots", "source": "product description"}]
rule
[{"attribute": "type", "value": "boot", "source": "product title"}, {"attribute": "type", "value": "boots", "source": "product description"}]
train
13
[{"attribute": "type", "value": "boot", "source": "product title"}, {"attribute": "type", "value": "boots", "source": "product description"}]
<|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> <a...
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
<|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> <a...
S
rule
S
train
15
S
<|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> <a...
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...
Answerability_Prediction
<|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> <a...
yes
rule
yes
train
16
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> <a...
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...
Answerability_Prediction
<|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> <a...
no
rule
no
train
19
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> <a...
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...
Attribute_Value_Extraction
<|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> <a...
[{"attribute": "wool type", "value": "None", "source": "None"}]
rule
[{"attribute": "wool type", "value": "None", "source": "None"}]
train
24
[{"attribute": "wool type", "value": "None", "source": "None"}]
<|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> <a...
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
<|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> <a...
D
rule
D
train
30
D
<|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> <a...
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
<|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> <a...
K
rule
K
train
31
K
<|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> <a...
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...
Answerability_Prediction
<|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> <a...
yes
rule
yes
train
34
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> <a...
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
<|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> <a...
D
rule
D
train
36
D
<|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> <a...
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...
Attribute_Value_Extraction
<|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> <a...
[{"attribute": "type", "value": "mid-calf", "source": "product title"}, {"attribute": "type", "value": "boots", "source": "product title"}]
rule
[{"attribute": "type", "value": "mid-calf", "source": "product title"}, {"attribute": "type", "value": "boots", "source": "product title"}]
train
42
[{"attribute": "type", "value": "mid-calf", "source": "product title"}, {"attribute": "type", "value": "boots", "source": "product title"}]
<|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> <a...
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...
Answer_Generation
<|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> <a...
Yes
rule
Yes
train
44
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> <a...
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...
Answer_Generation
<|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> <a...
I purchased the cap for the Easy Share DX6490. It did not fit my camera. So I am not sure about your camera. Be sure that it is the exact replacement. The company told me that I did not read the replacement description carefully.
rule
I purchased the cap for the Easy Share DX6490. It did not fit my camera. So I am not sure about your camera. Be sure that it is the exact replacement. The company told me that I did not read the replacement description carefully.
train
45
I purchased the cap for the Easy Share DX6490. It did not fit my camera. So I am not sure about your camera. Be sure that it is the exact replacement. The company told me that I did not read the replacement description carefully.
<|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> <a...
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...
Attribute_Value_Extraction
<|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> <a...
[{"attribute": "type", "value": "doll", "source": "product title"}, {"attribute": "type", "value": "doll", "source": "product feature"}, {"attribute": "type", "value": "dolls", "source": "product title"}, {"attribute": "type", "value": "dolls", "source": "product feature"}, {"attribute": "type", "value": "american girl...
rule
[{"attribute": "type", "value": "doll", "source": "product title"}, {"attribute": "type", "value": "doll", "source": "product feature"}, {"attribute": "type", "value": "dolls", "source": "product title"}, {"attribute": "type", "value": "dolls", "source": "product feature"}, {"attribute": "type", "value": "american girl...
train
46
[{"attribute": "type", "value": "doll", "source": "product title"}, {"attribute": "type", "value": "doll", "source": "product feature"}, {"attribute": "type", "value": "dolls", "source": "product title"}, {"attribute": "type", "value": "dolls", "source": "product feature"}, {"attribute": "type", "value": "american girl...
<|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> <a...
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