data_source string | prompt list | ability string | reward_model.ground_truth string | reward_model.style string | extra_info.answer string | extra_info.correct_count int64 | extra_info.difficulty string | extra_info.index int64 | extra_info.question string | extra_info.split string | extra_info.cotanswer string | reward_model dict | extra_info dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | no | rule | no | 7 | Easy | 33,224 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | no | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"cotanswer": "no",
"index": 0,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1)... |
ECI | [
{
"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 | B | rule | B | 6 | Easy | 74,230 | <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.
For th... | train | B | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"cotanswer": "B",
"index": 1,
"question": "<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 ... |
ECI | [
{
"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 | B | rule | B | 6 | Easy | 80,823 | <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.
For th... | train | B | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"cotanswer": "B",
"index": 2,
"question": "<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 ... |
ECI | [
{
"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 | A | rule | A | 7 | Easy | 57,442 | <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.
For th... | train | A | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"cotanswer": "A",
"index": 3,
"question": "<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 ... |
ECI | [
{
"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 | A | rule | A | 7 | Easy | 56,892 | <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.
For th... | train | A | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"cotanswer": "A",
"index": 4,
"question": "<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 ... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | yes | rule | yes | 7 | Easy | 33,872 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | yes | {
"ground_truth": "yes",
"style": "rule"
} | {
"answer": "yes",
"cotanswer": "yes",
"index": 5,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(... |
ECI | [
{
"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 | A | rule | A | 7 | Easy | 44,962 | <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.
For th... | train | A | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"cotanswer": "A",
"index": 6,
"question": "<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 ... |
ECI | [
{
"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 | A | rule | A | 7 | Easy | 29,926 | <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.
For th... | train | A | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"cotanswer": "A",
"index": 7,
"question": "<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 ... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | 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. | 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. | 7 | Easy | 38,299 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | 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. | {
"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.",
"cotanswer": "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.",
"inde... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | 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. | 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. | 6 | Easy | 79,891 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | 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. | {
"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.",
"cotanswer": "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.",
"inde... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | D: The product is irrelevant to the query. | rule | D: The product is irrelevant to the query. | 7 | Easy | 32 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | D: The product is irrelevant to the query. | {
"ground_truth": "D: The product is irrelevant to the query.",
"style": "rule"
} | {
"answer": "D: The product is irrelevant to the query.",
"cotanswer": "D: The product is irrelevant to the query.",
"index": 10,
"question": "<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 provi... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Purchase History, starting wi... | Sequential_Recommendation | C | rule | C | 7 | Easy | 11,726 | <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 steps to generate BDI reasoning process:
(1) Based on the user Purchase History, starting with "Belief: customer bel... | train | C | {
"ground_truth": "C",
"style": "rule"
} | {
"answer": "C",
"cotanswer": "C",
"index": 11,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1) ... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | A,B | rule | A,B | 7 | Easy | 71,574 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A,B | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"cotanswer": "A,B",
"index": 12,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | C: neutral | rule | C: neutral | 6 | Easy | 86,003 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | C: neutral | {
"ground_truth": "C: neutral",
"style": "rule"
} | {
"answer": "C: neutral",
"cotanswer": "C: neutral",
"index": 13,
"question": "<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. \nThe steps to generate BDI reason... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | A: The product is relevant to the query, and satisfies all the query specifications. | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 7 | Easy | 40,124 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A: The product is relevant to the query, and satisfies all the query specifications. | {
"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.",
"cotanswer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 14,
"question": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Purchase History, starting wi... | Sequential_Recommendation | N | rule | N | 6 | Easy | 75,876 | <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 steps to generate BDI reasoning process:
(1) Based on the user Purchase History, starting with "Belief: customer bel... | train | N | {
"ground_truth": "N",
"style": "rule"
} | {
"answer": "N",
"cotanswer": "N",
"index": 15,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1) ... |
ECI | [
{
"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 | B | rule | B | 7 | Easy | 51,081 | <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.
For th... | train | B | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"cotanswer": "B",
"index": 16,
"question": "<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... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | B,A | rule | B,A | 6 | Easy | 70,240 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | B,A | {
"ground_truth": "B,A",
"style": "rule"
} | {
"answer": "B,A",
"cotanswer": "B,A",
"index": 17,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | B,A | rule | B,A | 6 | Easy | 52,423 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | B,A | {
"ground_truth": "B,A",
"style": "rule"
} | {
"answer": "B,A",
"cotanswer": "B,A",
"index": 18,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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 | B | rule | B | 6 | Easy | 26,954 | <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.
For th... | train | B | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"cotanswer": "B",
"index": 19,
"question": "<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... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Purchase History, starting wi... | Sequential_Recommendation | N | rule | N | 6 | Easy | 24,284 | <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 steps to generate BDI reasoning process:
(1) Based on the user Purchase History, starting with "Belief: customer bel... | train | N | {
"ground_truth": "N",
"style": "rule"
} | {
"answer": "N",
"cotanswer": "N",
"index": 20,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1) ... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | no | rule | no | 7 | Easy | 44,417 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | no | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"cotanswer": "no",
"index": 21,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Purchase History, starting wi... | Sequential_Recommendation | S | rule | S | 6 | Easy | 57,679 | <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 steps to generate BDI reasoning process:
(1) Based on the user Purchase History, starting with "Belief: customer bel... | train | S | {
"ground_truth": "S",
"style": "rule"
} | {
"answer": "S",
"cotanswer": "S",
"index": 22,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1) ... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | A: very positive | rule | A: very positive | 6 | Easy | 32,112 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | A: very positive | {
"ground_truth": "A: very positive",
"style": "rule"
} | {
"answer": "A: very positive",
"cotanswer": "A: very positive",
"index": 23,
"question": "<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. \nThe steps to generat... |
ECI | [
{
"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 | A | rule | A | 6 | Easy | 46,560 | <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.
For th... | train | A | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"cotanswer": "A",
"index": 24,
"question": "<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... |
ECI | [
{
"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 | A | rule | A | 6 | Easy | 6,670 | <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.
For th... | train | A | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"cotanswer": "A",
"index": 25,
"question": "<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... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | B,A | rule | B,A | 7 | Easy | 5,712 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | B,A | {
"ground_truth": "B,A",
"style": "rule"
} | {
"answer": "B,A",
"cotanswer": "B,A",
"index": 26,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | C: neutral | rule | C: neutral | 6 | Easy | 53,594 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | C: neutral | {
"ground_truth": "C: neutral",
"style": "rule"
} | {
"answer": "C: neutral",
"cotanswer": "C: neutral",
"index": 27,
"question": "<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. \nThe steps to generate BDI reason... |
ECI | [
{
"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 | A | rule | A | 7 | Easy | 47,263 | <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.
For th... | train | A | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"cotanswer": "A",
"index": 28,
"question": "<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... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Purchase History, starting wi... | Sequential_Recommendation | P | rule | P | 6 | Easy | 58,206 | <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 steps to generate BDI reasoning process:
(1) Based on the user Purchase History, starting with "Belief: customer bel... | train | P | {
"ground_truth": "P",
"style": "rule"
} | {
"answer": "P",
"cotanswer": "P",
"index": 29,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1) ... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | E: very negative | rule | E: very negative | 7 | Easy | 74,933 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | E: very negative | {
"ground_truth": "E: very negative",
"style": "rule"
} | {
"answer": "E: very negative",
"cotanswer": "E: very negative",
"index": 30,
"question": "<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. \nThe steps to generat... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Purchase History, starting wi... | Sequential_Recommendation | T | rule | T | 7 | Easy | 59,352 | <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 steps to generate BDI reasoning process:
(1) Based on the user Purchase History, starting with "Belief: customer bel... | train | T | {
"ground_truth": "T",
"style": "rule"
} | {
"answer": "T",
"cotanswer": "T",
"index": 31,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1) ... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Purchase History, starting wi... | Sequential_Recommendation | G | rule | G | 7 | Easy | 57,113 | <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 steps to generate BDI reasoning process:
(1) Based on the user Purchase History, starting with "Belief: customer bel... | train | G | {
"ground_truth": "G",
"style": "rule"
} | {
"answer": "G",
"cotanswer": "G",
"index": 32,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1) ... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | D: negative | rule | D: negative | 6 | Easy | 9,179 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | D: negative | {
"ground_truth": "D: negative",
"style": "rule"
} | {
"answer": "D: negative",
"cotanswer": "D: negative",
"index": 33,
"question": "<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. \nThe steps to generate BDI reas... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | yes | rule | yes | 6 | Easy | 5,120 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | yes | {
"ground_truth": "yes",
"style": "rule"
} | {
"answer": "yes",
"cotanswer": "yes",
"index": 34,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | 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. | 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. | 6 | Easy | 2,748 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | 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. | {
"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.",
"cotanswer": "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.",
"inde... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | 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. | 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. | 6 | Easy | 8,691 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | 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. | {
"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.",
"cotanswer": "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.",
"inde... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | E: very negative | rule | E: very negative | 7 | Easy | 78,464 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | E: very negative | {
"ground_truth": "E: very negative",
"style": "rule"
} | {
"answer": "E: very negative",
"cotanswer": "E: very negative",
"index": 37,
"question": "<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. \nThe steps to generat... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | 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. | 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. | 6 | Easy | 18,592 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | 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. | {
"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.",
"cotanswer": "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.",
"inde... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Purchase History, starting wi... | Sequential_Recommendation | P | rule | P | 7 | Easy | 58,560 | <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 steps to generate BDI reasoning process:
(1) Based on the user Purchase History, starting with "Belief: customer bel... | train | P | {
"ground_truth": "P",
"style": "rule"
} | {
"answer": "P",
"cotanswer": "P",
"index": 39,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1) ... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | A: very positive | rule | A: very positive | 6 | Easy | 82,149 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | A: very positive | {
"ground_truth": "A: very positive",
"style": "rule"
} | {
"answer": "A: very positive",
"cotanswer": "A: very positive",
"index": 40,
"question": "<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. \nThe steps to generat... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | no | rule | no | 7 | Easy | 14,822 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | no | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"cotanswer": "no",
"index": 41,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | B,A | rule | B,A | 6 | Easy | 39,906 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | B,A | {
"ground_truth": "B,A",
"style": "rule"
} | {
"answer": "B,A",
"cotanswer": "B,A",
"index": 42,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | A: The product is relevant to the query, and satisfies all the query specifications. | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 7 | Easy | 84,177 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A: The product is relevant to the query, and satisfies all the query specifications. | {
"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.",
"cotanswer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 43,
"question": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | yes | rule | yes | 6 | Easy | 25,541 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | yes | {
"ground_truth": "yes",
"style": "rule"
} | {
"answer": "yes",
"cotanswer": "yes",
"index": 44,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | A,B | rule | A,B | 6 | Easy | 8,904 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A,B | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"cotanswer": "A,B",
"index": 45,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | E: very negative | rule | E: very negative | 6 | Easy | 75,583 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | E: very negative | {
"ground_truth": "E: very negative",
"style": "rule"
} | {
"answer": "E: very negative",
"cotanswer": "E: very negative",
"index": 46,
"question": "<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. \nThe steps to generat... |
ECI | [
{
"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 | A | rule | A | 6 | Easy | 72,235 | <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.
For th... | train | A | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"cotanswer": "A",
"index": 47,
"question": "<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... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | A,B | rule | A,B | 6 | Easy | 1,233 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A,B | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"cotanswer": "A,B",
"index": 48,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | D: negative | rule | D: negative | 6 | Easy | 50,245 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | D: negative | {
"ground_truth": "D: negative",
"style": "rule"
} | {
"answer": "D: negative",
"cotanswer": "D: negative",
"index": 49,
"question": "<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. \nThe steps to generate BDI reas... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | no | rule | no | 7 | Easy | 79,222 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | no | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"cotanswer": "no",
"index": 50,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | 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. | 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. | 6 | Easy | 23,472 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | 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. | {
"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.",
"cotanswer": "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.",
"inde... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | A: The product is relevant to the query, and satisfies all the query specifications. | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 6 | Easy | 20,242 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A: The product is relevant to the query, and satisfies all the query specifications. | {
"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.",
"cotanswer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 52,
"question": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | no | rule | no | 7 | Easy | 78,309 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | no | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"cotanswer": "no",
"index": 53,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Purchase History, starting wi... | Sequential_Recommendation | J | rule | J | 6 | Easy | 31,667 | <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 steps to generate BDI reasoning process:
(1) Based on the user Purchase History, starting with "Belief: customer bel... | train | J | {
"ground_truth": "J",
"style": "rule"
} | {
"answer": "J",
"cotanswer": "J",
"index": 54,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1) ... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | A: The product is relevant to the query, and satisfies all the query specifications. | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 7 | Easy | 43,711 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A: The product is relevant to the query, and satisfies all the query specifications. | {
"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.",
"cotanswer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 55,
"question": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | B,A | rule | B,A | 6 | Easy | 77,076 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | B,A | {
"ground_truth": "B,A",
"style": "rule"
} | {
"answer": "B,A",
"cotanswer": "B,A",
"index": 56,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | 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. | 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. | 7 | Easy | 9,634 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | 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. | {
"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.",
"cotanswer": "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.",
"inde... |
ECI | [
{
"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 | A | rule | A | 6 | Easy | 56,515 | <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.
For th... | train | A | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"cotanswer": "A",
"index": 58,
"question": "<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... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | A,B | rule | A,B | 7 | Easy | 31,115 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A,B | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"cotanswer": "A,B",
"index": 59,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | no | rule | no | 6 | Easy | 30,405 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | no | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"cotanswer": "no",
"index": 60,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Purchase History, starting wi... | Sequential_Recommendation | J | rule | J | 6 | Easy | 67,550 | <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 steps to generate BDI reasoning process:
(1) Based on the user Purchase History, starting with "Belief: customer bel... | train | J | {
"ground_truth": "J",
"style": "rule"
} | {
"answer": "J",
"cotanswer": "J",
"index": 61,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1) ... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | no | rule | no | 7 | Easy | 28,673 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | no | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"cotanswer": "no",
"index": 62,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | no | rule | no | 7 | Easy | 3,285 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | no | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"cotanswer": "no",
"index": 63,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | no | rule | no | 6 | Easy | 61,592 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | no | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"cotanswer": "no",
"index": 64,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | A: The product is relevant to the query, and satisfies all the query specifications. | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 7 | Easy | 42,092 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A: The product is relevant to the query, and satisfies all the query specifications. | {
"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.",
"cotanswer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 65,
"question": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | 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. | 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. | 6 | Easy | 64,199 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | 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. | {
"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.",
"cotanswer": "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.",
"inde... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | E: very negative | rule | E: very negative | 6 | Easy | 20,208 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | E: very negative | {
"ground_truth": "E: very negative",
"style": "rule"
} | {
"answer": "E: very negative",
"cotanswer": "E: very negative",
"index": 67,
"question": "<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. \nThe steps to generat... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | E: very negative | rule | E: very negative | 6 | Easy | 41,251 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | E: very negative | {
"ground_truth": "E: very negative",
"style": "rule"
} | {
"answer": "E: very negative",
"cotanswer": "E: very negative",
"index": 68,
"question": "<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. \nThe steps to generat... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | A,B | rule | A,B | 6 | Easy | 53,066 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A,B | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"cotanswer": "A,B",
"index": 69,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | 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. | 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. | 6 | Easy | 71,765 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | 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. | {
"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.",
"cotanswer": "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.",
"inde... |
ECI | [
{
"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 | B | rule | B | 6 | Easy | 37,008 | <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.
For th... | train | B | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"cotanswer": "B",
"index": 71,
"question": "<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... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | 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. | 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. | 7 | Easy | 62,084 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | 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. | {
"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.",
"cotanswer": "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.",
"inde... |
ECI | [
{
"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 | B | rule | B | 7 | Easy | 32,533 | <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.
For th... | train | B | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"cotanswer": "B",
"index": 73,
"question": "<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... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | E: very negative | rule | E: very negative | 6 | Easy | 43,102 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | E: very negative | {
"ground_truth": "E: very negative",
"style": "rule"
} | {
"answer": "E: very negative",
"cotanswer": "E: very negative",
"index": 74,
"question": "<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. \nThe steps to generat... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | E: very negative | rule | E: very negative | 6 | Easy | 62,157 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | E: very negative | {
"ground_truth": "E: very negative",
"style": "rule"
} | {
"answer": "E: very negative",
"cotanswer": "E: very negative",
"index": 75,
"question": "<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. \nThe steps to generat... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | B,A | rule | B,A | 6 | Easy | 49,334 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | B,A | {
"ground_truth": "B,A",
"style": "rule"
} | {
"answer": "B,A",
"cotanswer": "B,A",
"index": 76,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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 | B | rule | B | 6 | Easy | 58,633 | <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.
For th... | train | B | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"cotanswer": "B",
"index": 77,
"question": "<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... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | 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. | 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. | 6 | Easy | 77,830 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | 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. | {
"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.",
"cotanswer": "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.",
"inde... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | no | rule | no | 6 | Easy | 32,593 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | no | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"cotanswer": "no",
"index": 79,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Purchase History, starting wi... | Sequential_Recommendation | A | rule | A | 7 | Easy | 37,977 | <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 steps to generate BDI reasoning process:
(1) Based on the user Purchase History, starting with "Belief: customer bel... | train | A | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"cotanswer": "A",
"index": 80,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1) ... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | no | rule | no | 7 | Easy | 56,213 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | no | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"cotanswer": "no",
"index": 81,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | no | rule | no | 6 | Easy | 4,239 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | no | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"cotanswer": "no",
"index": 82,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | yes | rule | yes | 6 | Easy | 42,916 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | yes | {
"ground_truth": "yes",
"style": "rule"
} | {
"answer": "yes",
"cotanswer": "yes",
"index": 83,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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 | A | rule | A | 7 | Easy | 67,771 | <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.
For th... | train | A | {
"ground_truth": "A",
"style": "rule"
} | {
"answer": "A",
"cotanswer": "A",
"index": 84,
"question": "<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... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | A: The product is relevant to the query, and satisfies all the query specifications. | rule | A: The product is relevant to the query, and satisfies all the query specifications. | 7 | Easy | 36,350 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A: The product is relevant to the query, and satisfies all the query specifications. | {
"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.",
"cotanswer": "A: The product is relevant to the query, and satisfies all the query specifications.",
"index": 85,
"question": "<s>[INST] You are a helpful assistant. The assistant first thinks about the reasoning... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | no | rule | no | 6 | Easy | 25,849 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | no | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"cotanswer": "no",
"index": 86,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | A,B | rule | A,B | 7 | Easy | 77,604 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A,B | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"cotanswer": "A,B",
"index": 87,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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 | B | rule | B | 7 | Easy | 48,001 | <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.
For th... | train | B | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"cotanswer": "B",
"index": 88,
"question": "<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... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | B: positive | rule | B: positive | 7 | Easy | 16,951 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | B: positive | {
"ground_truth": "B: positive",
"style": "rule"
} | {
"answer": "B: positive",
"cotanswer": "B: positive",
"index": 89,
"question": "<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. \nThe steps to generate BDI reas... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Multiclass_Product_Classification | 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. | 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. | 6 | Easy | 49,109 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | 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. | {
"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.",
"cotanswer": "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.",
"inde... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | B,A | rule | B,A | 6 | Easy | 89,092 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | B,A | {
"ground_truth": "B,A",
"style": "rule"
} | {
"answer": "B,A",
"cotanswer": "B,A",
"index": 91,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | A,B | rule | A,B | 6 | Easy | 61,571 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A,B | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"cotanswer": "A,B",
"index": 92,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | A,B | rule | A,B | 6 | Easy | 82,860 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A,B | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"cotanswer": "A,B",
"index": 93,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Query_Product_Rank | A,B | rule | A,B | 7 | Easy | 81,336 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | A,B | {
"ground_truth": "A,B",
"style": "rule"
} | {
"answer": "A,B",
"cotanswer": "A,B",
"index": 94,
"question": "<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. \nThe steps to generate BDI reasoning process:\n... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Purchase History, starting wi... | Sequential_Recommendation | T | rule | T | 7 | Easy | 41,726 | <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 steps to generate BDI reasoning process:
(1) Based on the user Purchase History, starting with "Belief: customer bel... | train | T | {
"ground_truth": "T",
"style": "rule"
} | {
"answer": "T",
"cotanswer": "T",
"index": 95,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1) ... |
ECI | [
{
"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 | B | rule | B | 6 | Easy | 75,955 | <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.
For th... | train | B | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"cotanswer": "B",
"index": 96,
"question": "<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... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the user Query, starting with \"Belief... | Product_Substitute_Identification | no | rule | no | 7 | Easy | 59,575 | <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 steps to generate BDI reasoning process:
(1) Based on the user Query, starting with "Belief: customer believes", lis... | train | no | {
"ground_truth": "no",
"style": "rule"
} | {
"answer": "no",
"cotanswer": "no",
"index": 97,
"question": "<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. \nThe steps to generate BDI reasoning process:\n(1... |
ECI | [
{
"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. \nThe steps to generate BDI reasoning process:\n(1) Based on the User Review, starting with \"Belie... | Sentiment_Analysis | B: positive | rule | B: positive | 6 | Easy | 31,885 | <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 steps to generate BDI reasoning process:
(1) Based on the User Review, starting with "Belief: customer believes", li... | train | B: positive | {
"ground_truth": "B: positive",
"style": "rule"
} | {
"answer": "B: positive",
"cotanswer": "B: positive",
"index": 98,
"question": "<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. \nThe steps to generate BDI reas... |
ECI | [
{
"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 | B | rule | B | 7 | Easy | 80,314 | <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.
For th... | train | B | {
"ground_truth": "B",
"style": "rule"
} | {
"answer": "B",
"cotanswer": "B",
"index": 99,
"question": "<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... |
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