data_source stringclasses 1
value | prompt listlengths 1 1 | ability stringclasses 6
values | reward_model dict | question stringlengths 2.23k 5.35k | answer stringclasses 63
values | extra_info dict |
|---|---|---|---|---|---|---|
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Sequential_Recommendation | {
"ground_truth": "B",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | B | {
"answer": "B",
"correct_count": 6,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 685,
"within_length": true
},
"cotanswer": " Analyzing the purchase history, the user has a clear interest in outdoor recreation and sports equipment, specifically carabiners and paracord. Th... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Sentiment_Analysis | {
"ground_truth": "D: negative",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | D: negative | {
"answer": "D: negative",
"correct_count": 6,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 438,
"within_length": true
},
"cotanswer": " The review text describes a disappointing experience with the knife. The user mentions issues with the trigger mechanism, which fell apa... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Sentiment_Analysis | {
"ground_truth": "D: negative",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | D: negative | {
"answer": "D: negative",
"correct_count": 6,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 711,
"within_length": true
},
"cotanswer": " Evaluating the sentiment involves looking at the overall tone and specific words used. Positive aspects include \"do work,\" but negativ... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Query_Product_Rank | {
"ground_truth": "A,C,B",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | A,C,B | {
"answer": "A,C,B",
"correct_count": 7,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 572,
"within_length": true
},
"cotanswer": " The query is about \"snap together pavers\". I need to compare each product to see which is most relevant to this query.\n\n- Product A is a s... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Query_Product_Rank | {
"ground_truth": "A,B",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | A,B | {
"answer": "A,B",
"correct_count": 7,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 633,
"within_length": true
},
"cotanswer": " \n1. Analyze the query: \"square white clock\"\n2. Compare each product to the query:\n - Product A: Mentions \"Square\" and \"White\" in the ... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Product_Relation_Prediction | {
"ground_truth": "A",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | A | {
"answer": "A",
"correct_count": 6,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 946,
"within_length": true
},
"cotanswer": " Product 1 is an Ethernet extension cable for ThinkPad laptops. Product 2 is a ThinkPad X1 Carbon laptop. While both are for ThinkPad, they serve d... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Sequential_Recommendation | {
"ground_truth": "F",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | F | {
"answer": "F",
"correct_count": 7,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 807,
"within_length": true
},
"cotanswer": " Based on the purchase history, the user has bought items related to sports and outdoors, including a water bottle, outdoor clothes, and a sun viso... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Multiclass_Product_Classification | {
"ground_truth": "A: The product is relevant to the query, and satisfies all the query specifications.",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | A: The product is relevant to the query, and satisfies all the query specifications. | {
"answer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"correct_count": 7,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 723,
"within_length": true
},
"cotanswer": " The query is for a Christmas ornament related to marriage, spec... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Product_Relation_Prediction | {
"ground_truth": "A",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | A | {
"answer": "A",
"correct_count": 7,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 564,
"within_length": true
},
"cotanswer": " The products are related in that they are both from the Shimano brand and used in bicycle gear. A rear derailleur (Product 1) and a chain (which u... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Product_Relation_Prediction | {
"ground_truth": "A",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | A | {
"answer": "A",
"correct_count": 6,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 840,
"within_length": true
},
"cotanswer": " Both titles contain the phrase \"You Are Here\" which suggests a thematic similarity. Both also mention Starbucks, which is a common factor. Produ... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Multiclass_Product_Classification | {
"ground_truth": "D: The product is irrelevant to the query.",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | D: The product is irrelevant to the query. | {
"answer": "D: The product is irrelevant to the query.",
"correct_count": 6,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 334,
"within_length": true
},
"cotanswer": " The query is looking for PJ mask clothes for girls. The product title mentions PJ Masks but is specifical... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Product_Relation_Prediction | {
"ground_truth": "C",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | C | {
"answer": "C",
"correct_count": 6,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 503,
"within_length": true
},
"cotanswer": " The titles of both products contain the word \"Thermos\" and the character \"Batman,\" indicating a similarity. The first product is a \"Lunch Kit... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Product_Substitute_Identification | {
"ground_truth": "no",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | no | {
"answer": "no",
"correct_count": 6,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 533,
"within_length": true
},
"cotanswer": " The query is asking for a substitute for \"paint by numbers for family\". Paint by numbers is a type of art activity where a person follows numbe... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Product_Substitute_Identification | {
"ground_truth": "no",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | no | {
"answer": "no",
"correct_count": 6,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 477,
"within_length": true
},
"cotanswer": " The query is about bachelorette party straws, which are likely disposable or reusable straws used for the celebration. The product offered is LED... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Query_Product_Rank | {
"ground_truth": "B,C,A",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | B,C,A | {
"answer": "B,C,A",
"correct_count": 6,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 881,
"within_length": true
},
"cotanswer": " To determine relevance, I'll compare the dimensions and features of the query with each product title. \n- Query: 1 way adjustable air diffuse... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Sentiment_Analysis | {
"ground_truth": "B: positive",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | B: positive | {
"answer": "B: positive",
"correct_count": 6,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 583,
"within_length": true
},
"cotanswer": " The review starts positively about the original knife set, describing its quality and long-lasting use. However, it then shifts to a neg... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Query_Product_Rank | {
"ground_truth": "B,A",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | B,A | {
"answer": "B,A",
"correct_count": 7,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 666,
"within_length": true
},
"cotanswer": " For this task, I need to analyze the relevance of each product title to the given query \"nutrient 950 without iron\". The query mentions \"nutr... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Product_Relation_Prediction | {
"ground_truth": "B",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | B | {
"answer": "B",
"correct_count": 7,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 546,
"within_length": true
},
"cotanswer": " Product 1 is a Bluetooth gateway specifically for BlackBerry phones, while Product 2 is a Bluetooth receiver for car/home stereo music streaming. ... |
IND_Diverse_Instruction | [
{
"content": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, ... | Product_Substitute_Identification | {
"ground_truth": "no",
"style": "rule"
} | <s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <t... | no | {
"answer": "no",
"correct_count": 7,
"cot_metadata": {
"has_tags": true,
"is_correct": true,
"length": 582,
"within_length": true
},
"cotanswer": " The query is looking for a restricted dog food bowl, which is specifically designed for dogs with certain dietary needs or restrictions. The prod... |
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