Datasets:
Modalities:
Text
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
English
Size:
10K - 100K
License:
id stringlengths 26 35 | split stringclasses 1
value | modality stringclasses 1
value | turn_type stringclasses 1
value | input dict | streaming dict | target dict | taxonomy dict | quality dict | source dict | metadata dict |
|---|---|---|---|---|---|---|---|---|---|---|
life_task_oriented_assistant_000001 | train | text | single_turn | {
"input_token_count": 62,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I'm looking for a restaurant called the gandhi.\nCan you book it for 8 people on Sunday at 14:45?\nI would also like to find somewhere fun in the middle of town to ... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I'm looking for a restaurant called the gandhi.",
"streaming_reasoning": "The user mentions I'm looking for a restaurant called the gandhi. It is not yet clear whether the user needs the timing and the nu... | {
"answer": "You're welcome. Glad I could help; have a great day.",
"reasoning": "The user is looking for restaurant called the gandhi. The important context includes: I'm looking for a restaurant called the gandhi; Can you book it for 8 people on Sunday at 14:45; I would also like to find somewhere fun in the midd... | {
"category": "daily_life",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "personal_preference"
} | {
"is_high_quality": false,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": false,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000001",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_emotional_support_000001 | train | text | single_turn | {
"input_token_count": 91,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "About four years ago, my apartment was robbed.\nI discovered the state of my apartment.\nEverything turn over, any object that had some value was taken.\nI was tota... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "About four years ago, my apartment was robbed.",
"streaming_reasoning": "The user mentions About four years ago, my apartment was robbed. It is not yet clear whether the user needs the full scope of the u... | {
"answer": "That sounds like a lot to process, especially with four years ago, my apartment was robbed. Start with one small next step and give yourself room to sort it out.",
"reasoning": "The user is describing a distressing personal experience. The important context includes: About four years ago, my apartment ... | {
"category": "social_communication",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "conflict_deescalation"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/empathetic_dialogues_for_lm",
"id": "life_emotional_support_000001",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000001 | train | text | single_turn | {
"input_token_count": 29,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Certainly.\nAnd Roman really loves life.\nHe knows how to enjoy himself Not always.\nBut they like good meal Really?\nHow can I go there to have a taste?"
} | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Certainly.",
"streaming_reasoning": "The user mentions Certainly. It is not yet clear whether the user needs the full scope of the user's request. The assistant should acknowledge the user's input and wai... | {
"answer": "Good question. The main topic is certainly, roman, loves, life, so I would answer that directly first.",
"reasoning": "The user is asking a question and seeking an answer. The important context includes: And Roman really loves life; He knows how to enjoy himself Not always; But they like good meal Real... | {
"category": "information_extraction",
"difficulty": "medium",
"intent_type": "how_to_guide",
"subcategory": "constraints_extraction"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000001",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000002 | train | text | single_turn | {
"input_token_count": 77,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Can you find a moderately priced restaurant in the east side?\nI want to find a italian restaurant.\nIt is for 7 people.\nThe time is tuesday, 7, 14:30.\nPlease mak... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Can you find a moderately priced restaurant in the east side?",
"streaming_reasoning": "The user mentions Can you find a moderately priced restaurant in the east side. It is not yet clear whether the user... | {
"answer": "You're welcome. Glad I could help; have a great day.",
"reasoning": "The user wants to book or reserve to find a italian restaurant. The important context includes: Can you find a moderately priced restaurant in the east side; I want to find a italian restaurant; It is for 7 people; The time is tuesday... | {
"category": "daily_life",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "personal_preference"
} | {
"is_high_quality": false,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": false,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000002",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_emotional_support_000002 | train | text | single_turn | {
"input_token_count": 107,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "medium",
"text": "I was standing in a long line at a store on black friday.\nI had to use the restroom really bad.\nThe person behind me offered to watch my items and hold my place... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I was standing in a long line at a store on black friday.",
"streaming_reasoning": "The user mentions I was standing in a long line at a store on black friday. It is not yet clear whether the user needs t... | {
"answer": "That sounds like a lot to process, especially with I came back they had taken some of my items to purchase. Start with one small next step and give yourself room to sort it out.",
"reasoning": "The user is asking a question and seeking an answer. The important context includes: I was standing in a long... | {
"category": "daily_life",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "shopping_decision"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/empathetic_dialogues_for_lm",
"id": "life_emotional_support_000002",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000002 | train | text | single_turn | {
"input_token_count": 35,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Will the cords keep it from turning on?\nIt won't turn on if the cords aren't connected.\nI didn't think of that.\nTry it and see if it works.\nI think that I will,... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Will the cords keep it from turning on?",
"streaming_reasoning": "The user mentions Will the cords keep it from turning on?. It is not yet clear whether the user needs what specific help the user needs. T... | {
"answer": "Good question. The main topic is will, cords, keep, turning, so I would answer that directly first.",
"reasoning": "The user is asking a question and seeking an answer. The important context includes: Will the cords keep it from turning on; It won't turn on if the cords aren't connected; I didn't think... | {
"category": "information_extraction",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "constraints_extraction"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000002",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000003 | train | text | single_turn | {
"input_token_count": 44,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "No, not at all.\nAre these the clothes you want to have washed?\nYes.\nWhen can I get them back?\nWell, if they are collected right now, you can get them back tonig... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "No, not at all.",
"streaming_reasoning": "The user mentions No, not at all. It is not yet clear whether the user needs the full scope of the user's request. The assistant should acknowledge the user's inp... | {
"answer": "Good question. The main topic is not, all, clothes, washed, so I would answer that directly first.",
"reasoning": "The user is asking a question and seeking an answer. The important context includes: No, not at all; Are these the clothes you want to have washed; When can I get them back; Well, if they ... | {
"category": "information_extraction",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "constraints_extraction"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000003",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000003 | train | text | single_turn | {
"input_token_count": 16,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Am looking for the Addenbrookes Hospital.\nI need the phone number.\nThanks, that's all Good bye."
} | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Am looking for the Addenbrookes Hospital.",
"streaming_reasoning": "The user mentions Am looking for the Addenbrookes Hospital. It is not yet clear whether the user needs the full scope of the user's requ... | {
"answer": "You're welcome. Glad I could help; have a great day.",
"reasoning": "The user is looking for addenbrookes hospital. The relevant details are: Am looking for the Addenbrookes Hospital; I need the phone number; Thanks, that's all Good bye. The response is a brief closing or acknowledgment.",
"response"... | {
"category": "health_wellness_safe",
"difficulty": "easy",
"intent_type": "search_request",
"subcategory": "appointment_preparation"
} | {
"is_high_quality": false,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": false,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000003",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000004 | train | text | single_turn | {
"input_token_count": 64,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I have never you mention this friend.\nAre you on very good terms with him or her?\nWe have been on good terms.\nShe is a very nice girl.\nBut she got in Dutch with... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I have never you mention this friend.",
"streaming_reasoning": "The user mentions I have never you mention this friend. It is not yet clear whether the user needs the full scope of the user's request. The... | {
"answer": "Good question. The main topic is never, mention, friend, very, so I would answer that directly first.",
"reasoning": "The user is asking a question and seeking an answer. The important context includes: I have never you mention this friend; Are you on very good terms with him or her; We have been on go... | {
"category": "social_communication",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000004",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_emotional_support_000003 | train | text | single_turn | {
"input_token_count": 83,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I'm really proud of my mom.\nof how she's stepping up to help my brother raise his children as he struggles to do it alone.\nI'm really proud of my mom.\nof how she... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I'm really proud of my mom.",
"streaming_reasoning": "The user mentions I'm really proud of my mom. It is not yet clear whether the user needs the full scope of the user's request. The assistant should ac... | {
"answer": "It makes sense to feel confused after Don't know if it's my business to say so, though. Slow down, check what is actually known, and take one small step before deciding what comes next.",
"reasoning": "The user is asking for assistance. The important context includes: I'm really proud of my mom; Of how... | {
"category": "social_communication",
"difficulty": "hard",
"intent_type": "emotional_expression",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/empathetic_dialogues_for_lm",
"id": "life_emotional_support_000003",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000004 | train | text | single_turn | {
"input_token_count": 73,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Please make a booking for eight people staying for 4 nights from Saturday.\nThat will do it.\nThank you for your assistance!\nHave a good day!\nActually, I also nee... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Please make a booking for eight people staying for 4 nights from Saturday.",
"streaming_reasoning": "The user mentions wanting to book 4, Please, Saturday. It is not yet clear whether the user needs the f... | {
"answer": "You're welcome. Glad I could help; have a great day.",
"reasoning": "The user wants to book or reserve train to go to cambridge. The important context includes: Please make a booking for eight people staying for 4 nights from Saturday; That will do it; Thank you for your assistance; Have a good day. Th... | {
"category": "travel",
"difficulty": "medium",
"intent_type": "booking_request",
"subcategory": "local_transport"
} | {
"is_high_quality": false,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": false,
"taxonomy_quality": "low"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000004",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000005 | train | text | single_turn | {
"input_token_count": 52,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Hi, I am planning a trip for my family and could use some help with a place to stay.\nI want to find a affordable hotel.\nIt should be in the west part of town.\nI ... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Hi, I am planning a trip for my family and could use some help with a place to stay.",
"streaming_reasoning": "The user mentions Hi, I am planning a trip for my family and could use some help with a place... | {
"answer": "Got it. I will use hotel, west, affordable, cheap, 3 people, friday, 3 and move the task forward.",
"reasoning": "The user wants to book or reserve that for 3 people for 3 nights starting on friday. The important context includes: Hi, I am planning a trip for my family and could use some help with a pl... | {
"category": "social_communication",
"difficulty": "medium",
"intent_type": "booking_request",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000005",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_emotional_support_000004 | train | text | single_turn | {
"input_token_count": 93,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "My son woke up soooo early this morning.\nI barely got any sleep.\nMY son woke up at the crack of dawn this morning Its summer vacation.\nI hope you got enough slee... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "My son woke up soooo early this morning.",
"streaming_reasoning": "The user mentions My son woke up soooo early this morning. It is not yet clear whether the user needs the full scope of the user's reques... | {
"answer": "That sounds like a lot to process, especially with what happened. Start with one small next step and give yourself room to sort it out.",
"reasoning": "The user is describing a situation or sharing information. The important context includes: My son woke up soooo early this morning; I barely got any sl... | {
"category": "social_communication",
"difficulty": "hard",
"intent_type": "conversational_understanding",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/empathetic_dialogues_for_lm",
"id": "life_emotional_support_000004",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000005 | train | text | single_turn | {
"input_token_count": 24,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I don't know.\nI think you might be over the hill.\nWell, if not gymnastics, then mountain biking.\nMountain biking is an Olympic sport?"
} | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I don't know.",
"streaming_reasoning": "The user mentions I don't know. It is not yet clear whether the user needs the full scope of the user's request. The assistant should acknowledge the user's input a... | {
"answer": "Good question. The main topic is don't, think, might, over, so I would answer that directly first.",
"reasoning": "The user is asking a question and seeking an answer. The important context includes: I don't know; I think you might be over the hill; Well, if not gymnastics, then mountain biking; Mounta... | {
"category": "information_extraction",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "constraints_extraction"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000005",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_emotional_support_000005 | train | text | single_turn | {
"input_token_count": 77,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "She wanted to bring her kids too and I just wasn't feeling it I feel terrible.\nI like her kids.\nWell, next time try telling her the truth, like, I am too tired ri... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "She wanted to bring her kids too and I just wasn't feeling it I feel terrible.",
"streaming_reasoning": "The user mentions She wanted to bring her kids too and I just wasn't feeling it I feel terrible. It... | {
"answer": "That sounds like a lot to process, especially with sure she would understand if she is a good friend She is. Start with one small next step and give yourself room to sort it out.",
"reasoning": "The user is sharing emotional or personal concerns. The important context includes: She wanted to bring her ... | {
"category": "social_communication",
"difficulty": "medium",
"intent_type": "emotional_expression",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/empathetic_dialogues_for_lm",
"id": "life_emotional_support_000005",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000006 | train | text | single_turn | {
"input_token_count": 51,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "OK Here you are.\nThen you have to give me 15 dollars for the deposit.\nThe library card is free.\nOK.\nHere is the money.\nAnd If I return the card, can I get the ... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "OK Here you are.",
"streaming_reasoning": "The user mentions OK Here you are. It is not yet clear whether the user needs the full scope of the user's request. The assistant should acknowledge the user's i... | {
"answer": "Good question. The main topic is here, then, give, dollars, so I would answer that directly first.",
"reasoning": "The user is asking a question and seeking an answer. The important context includes: OK Here you are; Then you have to give me 15 dollars for the deposit; The library card is free; Here is... | {
"category": "finance_consumer",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "budget_planning"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000006",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_emotional_support_000006 | train | text | single_turn | {
"input_token_count": 52,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "When my daughter was born I was so happy and excited.\nWhen my daughter was born I was so happy and excited I bet!\nalways good when new life is born.\nYes, she is ... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "When my daughter was born I was so happy and excited.",
"streaming_reasoning": "The user mentions When my daughter was born I was so happy and excited. It is not yet clear whether the user needs the full ... | {
"answer": "That is worth celebrating, especially because my daughter was born I was so and I bet. Take a moment to enjoy it and share the good news with someone who will be happy for you.",
"reasoning": "The user is describing a situation or sharing information. The important context includes: When my daughter wa... | {
"category": "social_communication",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/empathetic_dialogues_for_lm",
"id": "life_emotional_support_000006",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000007 | train | text | single_turn | {
"input_token_count": 42,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "What do you think of the Olympic motto ' Higher, faster and stronger '?\nWell, it's better than ' Friendship first, competition second ' Why?\nIn my opinion, it doe... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "What do you think of the Olympic motto ' Higher, faster and stronger '?",
"streaming_reasoning": "The user mentions talking about What, Olympic, Higher. It is not yet clear whether the user needs what spe... | {
"answer": "Good question. The main topic is think, olympic, motto, higher, so I would answer that directly first.",
"reasoning": "The user is asking a question and seeking an answer. The important context includes: What do you think of the Olympic motto ' Higher, faster and stronger '; Well, it's better than ' Fr... | {
"category": "social_communication",
"difficulty": "medium",
"intent_type": "explain_cause",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000007",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000006 | train | text | single_turn | {
"input_token_count": 34,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I got injured and are looking for a hospital nearby.\nI'm not sure, do you have the postcode for the hospital?\nNope, that's all I need Thanks very much!\nThanks fo... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I got injured and are looking for a hospital nearby.",
"streaming_reasoning": "The user mentions I got injured and are looking for a hospital nearby. It is not yet clear whether the user needs the full sc... | {
"answer": "You're welcome. Glad I could help; have a great day.",
"reasoning": "The user is looking for hospital nearby. The important context includes: I got injured and are looking for a hospital nearby; I'm not sure, do you have the postcode for the hospital; Nope, that's all I need Thanks very much; Thanks fo... | {
"category": "health_wellness_safe",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "appointment_preparation"
} | {
"is_high_quality": false,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": false,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000006",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_emotional_support_000007 | train | text | single_turn | {
"input_token_count": 35,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I was content getting a B on my exam.\nI was content with a B on my exam.\nIt is a passing grade.\nI would be fine with it.\nYes I studied hard to pass."
} | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I was content getting a B on my exam.",
"streaming_reasoning": "The user mentions I was content getting a B on my exam. It is not yet clear whether the user needs the full scope of the user's request. The... | {
"answer": "That sounds like a lot to process, especially with what happened. Start with one small next step and give yourself room to sort it out.",
"reasoning": "The user is describing a situation or sharing information. The important context includes: I was content getting a B on my exam; I was content with a B... | {
"category": "education",
"difficulty": "medium",
"intent_type": "conversational_understanding",
"subcategory": "course_planning"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/empathetic_dialogues_for_lm",
"id": "life_emotional_support_000007",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000007 | train | text | single_turn | {
"input_token_count": 39,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Leaving on Monday from Cambridge.\nI've like to go to birmingham new street.\ni need to leave after 19:15.\nPlease book for 8 tickets.\nThank you so much for your h... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Leaving on Monday from Cambridge.",
"streaming_reasoning": "The user mentions Leaving on Monday from Cambridge. It is not yet clear whether the user needs the full scope of the user's request. The assista... | {
"answer": "You're welcome. Glad I could help; have a great day.",
"reasoning": "The user wants to book or reserve for 8 tickets. The important context includes: Leaving on Monday from Cambridge; I've like to go to birmingham new street; I need to leave after 19:15; Please book for 8 tickets. The response is a bri... | {
"category": "daily_life",
"difficulty": "medium",
"intent_type": "booking_request",
"subcategory": "shopping_decision"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000007",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000008 | train | text | single_turn | {
"input_token_count": 118,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "medium",
"text": "You mean, keeping a low profile in the presence of the old?\nThat goes in like with Confucius ' preachings, right Correct.\nShow respect for the older people.\nCo... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "You mean, keeping a low profile in the presence of the old?",
"streaming_reasoning": "The user mentions You mean, keeping a low profile in the presence of the old?. It is not yet clear whether the user ne... | {
"answer": "Good question. The main topic is mean, keeping, low, profile, so I would answer that directly first.",
"reasoning": "The user is asking a question and seeking an answer. The important context includes: You mean, keeping a low profile in the presence of the old; That goes in like with Confucius ' preach... | {
"category": "information_extraction",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "long_note_to_summary"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000008",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000008 | train | text | single_turn | {
"input_token_count": 35,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "You want to book a taxi.\nThe taxi should arrive by 17:30 and should go to la mimosa.\nI will be departing from nusha Thanks so much!\nThat's it for today.\nHave a ... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "You want to book a taxi.",
"streaming_reasoning": "The user mentions You want to book a taxi. It is not yet clear whether the user needs the full scope of the user's request. The assistant should acknowle... | {
"answer": "Got it. I will use taxi, today, 17:30 and move the task forward.",
"reasoning": "The user wants to book or reserve taxi. The important context includes: You want to book a taxi; The taxi should arrive by 17:30 and should go to la mimosa; I will be departing from nusha Thanks so much; That's it for toda... | {
"category": "finance_consumer",
"difficulty": "medium",
"intent_type": "booking_request",
"subcategory": "budget_planning"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000008",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000009 | train | text | single_turn | {
"input_token_count": 77,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Yes, that would be fine.\nI don't need tickets, I just need the travel time, price, and train ID.\nI want to find a moderate restaurant.\nIt should be in the centre... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Yes, that would be fine.",
"streaming_reasoning": "The user mentions Yes, that would be fine. It is not yet clear whether the user needs the full scope of the user's request. The assistant should acknowle... | {
"answer": "You're welcome. Glad I could help; have a great day.",
"reasoning": "The user needs help with tickets. The important context includes: Yes, that would be fine; I don't need tickets, I just need the travel time, price, and train ID; I want to find a moderate restaurant; It should be in the centre part o... | {
"category": "daily_life",
"difficulty": "medium",
"intent_type": "search_request",
"subcategory": "personal_preference"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000009",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_emotional_support_000008 | train | text | single_turn | {
"input_token_count": 29,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I miss my father so much.\nI miss my father so much.\nWhat happened to him?\nHe died a year ago and I still miss him.We were really closed."
} | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I miss my father so much.",
"streaming_reasoning": "The user mentions I miss my father so much. It is not yet clear whether the user needs the full scope of the user's request. The assistant should acknow... | {
"answer": "It makes sense to feel lonely after someone important passed away. Give yourself a moment, then choose one manageable action instead of trying to solve everything at once.",
"reasoning": "The user is asking a question and seeking an answer. The important context includes: I miss my father so much; I mi... | {
"category": "information_extraction",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "long_note_to_summary"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/empathetic_dialogues_for_lm",
"id": "life_emotional_support_000008",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000009 | train | text | single_turn | {
"input_token_count": 40,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Young man, tell me everything you ate yesterday evening weki, Doctor.\nI went to a birthday party I see!\nHow many pieces of cake did you eat Three, Doctor.\nHow ma... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Young man, tell me everything you ate yesterday evening weki, Doctor.",
"streaming_reasoning": "The user mentions talking about Young, Doctor. It is not yet clear whether the user needs the full scope of ... | {
"answer": "Good question. The main topic is young, man, tell, everything, so I would answer that directly first.",
"reasoning": "The user is asking a question and seeking an answer. The important context includes: Young man, tell me everything you ate yesterday evening weki, Doctor; I went to a birthday party I s... | {
"category": "information_extraction",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "constraints_extraction"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000009",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000010 | train | text | single_turn | {
"input_token_count": 51,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I need to leave Cambridge on Sunday by train.\nThat will be fine I guess.\nIt will arrive by 19:15, I'm sure?\nYes, let's go ahead and book that.\nYes, please give ... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I need to leave Cambridge on Sunday by train.",
"streaming_reasoning": "The user mentions I need to leave Cambridge on Sunday by train. It is not yet clear whether the user needs the full scope of the use... | {
"answer": "You're welcome. Glad I could help; have a great day.",
"reasoning": "The user wants to book or reserve that. The important context includes: I need to leave Cambridge on Sunday by train; That will be fine I guess; It will arrive by 19:15, I'm sure; Yes, let's go ahead and book that. The response is a b... | {
"category": "information_extraction",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "constraints_extraction"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000010",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000010 | train | text | single_turn | {
"input_token_count": 23,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I have to go home now, Jenny.\nThanks for inviting me to your party.\nI'm glad you came.\nI hope you enjoyed it."
} | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I have to go home now, Jenny.",
"streaming_reasoning": "The user mentions I have to go home now, Jenny. It is not yet clear whether the user needs the full scope of the user's request. The assistant shoul... | {
"answer": "Sounds good. Take care, and see you next time.",
"reasoning": "The user is describing a situation or sharing information. The important context includes: I have to go home now, Jenny; Thanks for inviting me to your party; I'm glad you came; I hope you enjoyed it. The assistant should respond directly t... | {
"category": "creative_planning",
"difficulty": "medium",
"intent_type": "conversational_understanding",
"subcategory": "event_idea"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000010",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000011 | train | text | single_turn | {
"input_token_count": 75,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Can you help me with some information on a restaurant called luca cucina and bar?\nWhat type of food do they serve No thanks.\nCan you tell me the address and postc... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Can you help me with some information on a restaurant called luca cucina and bar?",
"streaming_reasoning": "The user mentions asking for help with luca. It is not yet clear whether the user needs what spe... | {
"answer": "I can help with that and include the address, postcode, phone, entrance fee once I find the matching option.",
"reasoning": "The user needs help with luca cucina. The important context includes: Can you help me with some information on a restaurant called luca cucina and bar; What type of food do they ... | {
"category": "daily_life",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "personal_preference"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000011",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000011 | train | text | single_turn | {
"input_token_count": 118,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "medium",
"text": "Well, now you're really going to freak out when I tell you who aced it what's-her-face...\nthe one who always kisses up to the teacher Jennifer Davies?\nGive me a... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Well, now you're really going to freak out when I tell you who aced it what's-her-face...",
"streaming_reasoning": "The user mentions talking about Well. It is not yet clear whether the user needs the ful... | {
"answer": "Good question. The main topic is now, you're, going, freak, so I would answer that directly first.",
"reasoning": "The user is asking a question and seeking an answer. The important context includes: Well, now you're really going to freak out when I tell you who aced it what's-her-face; The one who alw... | {
"category": "social_communication",
"difficulty": "hard",
"intent_type": "explain_cause",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000011",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000012 | train | text | single_turn | {
"input_token_count": 35,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I need to book a taxi to pembroke college from prezzo.\nI would like to get there by 13:00.\nI want to get there by 13:00.\nOk, that's all I need.\nThanks That's ev... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I need to book a taxi to pembroke college from prezzo.",
"streaming_reasoning": "The user mentions I need to book a taxi to pembroke college from prezzo. It is not yet clear whether the user needs the ful... | {
"answer": "You're welcome. Glad I could help; have a great day.",
"reasoning": "The user wants to book or reserve taxi to pembroke college from prezzo. The important context includes: I need to book a taxi to pembroke college from prezzo; I would like to get there by 13:00; I want to get there by 13:00; Ok, that'... | {
"category": "finance_consumer",
"difficulty": "medium",
"intent_type": "booking_request",
"subcategory": "budget_planning"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000012",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000012 | train | text | single_turn | {
"input_token_count": 19,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I can't decide what I should do What's the problem?\nShould I date Tom or should I date Harry?"
} | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I can't decide what I should do What's the problem?",
"streaming_reasoning": "The user mentions I can't decide what I should do What's the problem?. It is not yet clear whether the user needs what specifi... | {
"answer": "Good question. The main topic is can't, decide, what's, problem, so I would answer that directly first.",
"reasoning": "The user is asking a question and seeking an answer. The relevant details are: I can't decide what I should do What's the problem; Should I date Tom or should I date Harry. The assist... | {
"category": "information_extraction",
"difficulty": "easy",
"intent_type": "information_request",
"subcategory": "constraints_extraction"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000012",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_how_to_guidance_000001 | train | text | single_turn | {
"input_token_count": 74,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Task: Jump Down Stairs in Parkour.\n• Light shoes, likely tennis shoes, preferably with as little padding as possible so you can feel and adjust the landing as nece... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Task: Jump Down Stairs in Parkour.",
"streaming_reasoning": "The user mentions Task: Jump Down Stairs in Parkour. It is not yet clear whether the user needs the full scope of the user's request. The assis... | {
"answer": "For Jump Down Stairs in Parkour, follow the steps in order: Light shoes, likely tennis shoes, preferably with as little padding, Or rather, clothes that allow you a full range of, Pads for the first few times until you are used, Even though many parkour practitioners advocate strongly only using your.",
... | {
"category": "social_communication",
"difficulty": "medium",
"intent_type": "conversational_understanding",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "b-mc2/wikihow_lists",
"id": "life_how_to_guidance_000001",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000013 | train | text | single_turn | {
"input_token_count": 64,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Most of my other neighbours are scared of them.\nMaybe you should think about moving.\nI can't afford to move right now.\nWell, perhaps you should have a party and ... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Most of my other neighbours are scared of them.",
"streaming_reasoning": "The user mentions Most of my other neighbours are scared of them. It is not yet clear whether the user needs the full scope of the... | {
"answer": "Got it. The main point is most, other, neighbours, scared, so I will keep the reply brief and clear.",
"reasoning": "The user is describing a situation or sharing information. The important context includes: Most of my other neighbours are scared of them; Maybe you should think about moving; I can't af... | {
"category": "creative_planning",
"difficulty": "medium",
"intent_type": "opinion_sharing",
"subcategory": "event_idea"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000013",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000014 | train | text | single_turn | {
"input_token_count": 30,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Sorry, he's out.\nWhat time you suspect back them?\nSorry, I am not sure, can I take a message No, thanks.\nI'll call back later.\nThat's fine.please call again lat... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Sorry, he's out.",
"streaming_reasoning": "The user mentions Sorry, he's out. It is not yet clear whether the user needs the full scope of the user's request. The assistant should acknowledge the user's i... | {
"answer": "Good question. The main topic is sorry, he's, out, suspect, so I would answer that directly first.",
"reasoning": "The user is asking a question and seeking an answer. The important context includes: Sorry, he's out; What time you suspect back them; Sorry, I am not sure, can I take a message No, thanks... | {
"category": "information_extraction",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "constraints_extraction"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000014",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000013 | train | text | single_turn | {
"input_token_count": 66,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I will be traveling on Saturday and would like to arrive by 17:45.\nYes, that would be perfect!\nWhat's the price of one ticket Thank you!\nCan you also look up Che... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I will be traveling on Saturday and would like to arrive by 17:45.",
"streaming_reasoning": "The user mentions talking about 17:45, Saturday. It is not yet clear whether the user needs the full scope of t... | {
"answer": "You're welcome. Glad I could help; have a great day.",
"reasoning": "The user needs help with to arrive by 17:45. The important context includes: I will be traveling on Saturday and would like to arrive by 17:45; Yes, that would be perfect; What's the price of one ticket Thank you; Can you also look up... | {
"category": "daily_life",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "shopping_decision"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000013",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000014 | train | text | single_turn | {
"input_token_count": 88,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "That;s too bad...so what do you have?\nOther part of town?\nIt should be in the centre part of town.\nIt is for 2 people.\nThe time is monday, 2, 4.\nI also need th... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "That;s too bad...so what do you have?",
"streaming_reasoning": "The user mentions That;s too bad.so what do you have?. It is not yet clear whether the user needs what specific help the user needs. The ass... | {
"answer": "You're welcome. Glad I could help; have a great day.",
"reasoning": "The user needs help with reference number. The important context includes: That;s too bad; so what do you have; Other part of town; It should be in the centre part of town. The response is a brief closing or acknowledgment.",
"respo... | {
"category": "daily_life",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "shopping_decision"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000014",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000015 | train | text | single_turn | {
"input_token_count": 37,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I have been very busy this year, working late, often taking work home and taking no vacation I feel exhausted.\nYou should ask for a holiday and relax yourself for ... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I have been very busy this year, working late, often taking work home and taking no vacation I feel exhausted.",
"streaming_reasoning": "The user mentions I have been very busy this year, working late, of... | {
"answer": "Got it. The main point is been, very, busy, year, so I will keep the reply brief and clear.",
"reasoning": "The user is sharing emotional or personal concerns. The relevant details are: I have been very busy this year, working late, often taking work home and taking no vacation I feel exhausted; You sh... | {
"category": "social_communication",
"difficulty": "medium",
"intent_type": "emotional_expression",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000015",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000016 | train | text | single_turn | {
"input_token_count": 66,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Maybe it's more exciting not knowing.\nI'd rather know and buy all the baby things ahead of time.\nThere are so many things you have to prepare for.\nI know I am go... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Maybe it's more exciting not knowing.",
"streaming_reasoning": "The user mentions Maybe it's more exciting not knowing. It is not yet clear whether the user needs the full scope of the user's request. The... | {
"answer": "Got it. The main point is maybe, exciting, not, knowing, so I will keep the reply brief and clear.",
"reasoning": "The user is searching for something specific. The important context includes: Maybe it's more exciting not knowing; I'd rather know and buy all the baby things ahead of time; There are so ... | {
"category": "daily_life",
"difficulty": "medium",
"intent_type": "conversational_understanding",
"subcategory": "shopping_decision"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000016",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000015 | train | text | single_turn | {
"input_token_count": 68,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I would prefer a guesthouse thats 4 star rated.\nDo either of those fit the bill?\nDo they have free wifi at either of them?\nI would really like a four star guesth... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I would prefer a guesthouse thats 4 star rated.",
"streaming_reasoning": "The user mentions I would prefer a guesthouse thats 4 star rated. It is not yet clear whether the user needs the full scope of the... | {
"answer": "You're welcome. Glad I could help; have a great day.",
"reasoning": "The user needs help with parking. The important context includes: I would prefer a guesthouse thats 4 star rated; Do either of those fit the bill; Do they have free wifi at either of them; I would really like a four star guesthouse in... | {
"category": "tech_support",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "device_troubleshooting"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000015",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_emotional_support_000009 | train | text | single_turn | {
"input_token_count": 49,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I finally saw the movie with that scary Japanese girl with white skin.\nI now believe I can't sleep without the lights on lol.\nI finally saw that one scary movie m... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I finally saw the movie with that scary Japanese girl with white skin.",
"streaming_reasoning": "The user mentions talking about Japanese. It is not yet clear whether the user needs the full scope of the ... | {
"answer": "It makes sense to feel anxious after I finally saw that one movie my friends were talking about. Slow down, check what is actually known, and take one small step before deciding what comes next.",
"reasoning": "The user is describing a situation or sharing information. The important context includes: I... | {
"category": "social_communication",
"difficulty": "medium",
"intent_type": "conversational_understanding",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/empathetic_dialogues_for_lm",
"id": "life_emotional_support_000009",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_emotional_support_000010 | train | text | single_turn | {
"input_token_count": 71,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "I am incredibly lucky to have a stranger return my new phone when I lost it on the bus.\nI am incredibly lucky to have a stranger return my new phone when I lost it... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I am incredibly lucky to have a stranger return my new phone when I lost it on the bus.",
"streaming_reasoning": "The user mentions I am incredibly lucky to have a stranger return my new phone when I lost... | {
"answer": "That sounds like a lot to process, especially with I lost it on the bus. Start with one small next step and give yourself room to sort it out.",
"reasoning": "The user is describing a situation or sharing information. The important context includes: I am incredibly lucky to have a stranger return my ne... | {
"category": "daily_life",
"difficulty": "medium",
"intent_type": "search_request",
"subcategory": "shopping_decision"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/empathetic_dialogues_for_lm",
"id": "life_emotional_support_000010",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_task_oriented_assistant_000016 | train | text | single_turn | {
"input_token_count": 56,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "How about one that has free parking?\nis that in the same area as the restaurant?\nYes.\nI'd like to book that for 3 nights starting Sunday and for 4 people.\nI wan... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "How about one that has free parking?",
"streaming_reasoning": "The user mentions How about one that has free parking?. It is not yet clear whether the user needs what specific help the user needs. The ass... | {
"answer": "You're welcome. Glad I could help; have a great day.",
"reasoning": "The user wants to book or reserve that for 3 nights starting sunday. The important context includes: How about one that has free parking; Is that in the same area as the restaurant; I'd like to book that for 3 nights starting Sunday a... | {
"category": "daily_life",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "personal_preference"
} | {
"is_high_quality": false,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": false,
"taxonomy_quality": "high"
} | {
"dataset": "pietrolesci/multiwoz_all_versions",
"id": "life_task_oriented_assistant_000016",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_daily_dialogue_000017 | train | text | single_turn | {
"input_token_count": 53,
"instruction": "Help the user complete a real-life task based on the provided text.",
"length_bucket": "short",
"text": "Actually, I've told them a lot about you.\nThey are excited to meet you.\nI'm a little nervous!\nI think you'll like them.\nMy family is pretty laid back.\nHow Ay p... | {
"checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Actually, I've told them a lot about you.",
"streaming_reasoning": "The user mentions Actually, I've told them a lot about you. It is not yet clear whether the user needs the full scope of the user's requ... | {
"answer": "Got it. The main point is actually, i've, told, them, so I will keep the reply brief and clear.",
"reasoning": "The user is describing a situation or sharing information. The important context includes: Actually, I've told them a lot about you; They are excited to meet you; I'm a little nervous; I thin... | {
"category": "social_communication",
"difficulty": "medium",
"intent_type": "opinion_sharing",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "pixelsandpointers/better_daily_dialog",
"id": "life_daily_dialogue_000017",
"language": "en",
"license": "cc-by-4.0"
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
End of preview. Expand in Data Studio
LifeTextSingleTurnStreamingCoT v0.4
Final professional public release — clean SFT schema, target field, canonical taxonomy.
Overview
- Modality: Text
- Turn Type: Single Turn
- Version: v0.4
- License: apache-2.0
- Language: English
- HF Repo:
skyzhou06/LifeTextSingleTurnStreamingCoT
Row Counts
| Split | Rows |
|---|---|
| Train | 7,457 |
| Eval | 1,865 |
| High Quality Train | 2,570 |
| High Quality Eval | 634 |
| Total | 9,322 |
Schema (v0.4)
Top-Level Fields
| Field | Type | Description |
|---|---|---|
id |
string | Stable example ID |
split |
string | train or eval |
modality |
string | text |
turn_type |
string | single_turn |
input |
object | Input data |
streaming |
object | Checkpoints with natural-language reasoning |
target |
object | Training target: reasoning, answer, response |
taxonomy |
object | Canonical content classification |
quality |
object | Quality assessment |
source |
object | Provenance |
metadata |
object | Release metadata |
target
{
"reasoning": "Natural-language reasoning summary.",
"answer": "The final answer.",
"response": "Reasoning: ...\n\nAnswer: ..."
}
target.answer— for answer-only SFTtarget.response— for reasoning-augmented SFT
taxonomy
Uses canonical enum categories: daily_life, travel, education, work_productivity, finance_consumer, health_wellness_safe, tech_support, information_extraction, creative_planning, social_communication.
quality
{
"is_high_quality": true,
"sft_ready": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"taxonomy_quality": "high"
}
Changes from v0.3
outputrenamed totargetwithreasoning,answer,responsestreaming.traceremoved from active rowsmetadata.legacyblobs removed- Taxonomy mapped to canonical enum with fixed category/subcategory pairs
high_qualitysplit intohigh_quality_train/high_quality_evalmetadata.release_version="v0.4"
SFT Usage
from datasets import load_dataset
# Default config
ds = load_dataset("skyzhou06/LifeTextSingleTurnStreamingCoT")
# ds["train"]["target"]["response"] — reasoning + answer
# ds["train"]["target"]["answer"] — answer only
# High quality config
ds_hq = load_dataset("skyzhou06/LifeTextSingleTurnStreamingCoT", "high_quality")
Source Licenses
Dataset-level license: apache-2.0. Individual rows include source.license and source.dataset fields with source-specific license information.
Limitations
- Reasoning is rule-based (content-grounded)
- Some answers are brief closing phrases (check
quality.sft_ready) - Non-English examples not included
Citation
If you use this dataset, please cite the original source datasets and this release.
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