Datasets:
Delete reports/build_report.json with huggingface_hub
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reports/build_report.json
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{
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"dataset": "LifeTextMultiTurnStreamingCoT",
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"version": "v0.3",
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"modality": "text",
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"turn_type": "multi_turn",
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"build_timestamp": "2026-06-06T23:05:34.290351",
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"row_counts": {
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"train": 7955,
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"eval": 2045,
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"high_quality": 5923,
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"total": 10000
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},
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"schema_changes": {
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"description": "v0.3 clean public schema. Removed: domain, source_dataset, dialogue_history, dialogue_id, streaming_chunks, streaming_reasoning, deep_reasoning, answer, quality_flags, quality_score, is_high_quality, version, source_id, task_type, task_domain. No slot syntax in reasoning.",
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"output_fields": [
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"dialogue",
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"id",
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"input",
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"metadata",
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"modality",
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"output",
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"quality",
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"source",
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"split",
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"streaming",
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"taxonomy",
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"turn_type"
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],
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"output_field_count": 12
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},
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"reasoning_upgrade": {
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"description": "Turn-level reasoning is now content-grounded. No safety-conservative boilerplate, no state_delta references, no 'only the visible dialogue prefix is used' language.",
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"method": "content_grounded_rule_based"
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},
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"quality_distribution": {
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"high": 10000
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},
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"sft_ready_count": 9779,
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"sft_ready_pct": 97.8,
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"taxonomy_distribution": {
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"social_communication": 3205,
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"information_extraction": 2487,
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"travel_transportation": 1972,
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"food_dining": 614,
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"tech_support": 587,
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"shopping_retail": 318,
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"education": 231,
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"finance_consumer": 187,
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"health_wellness": 137,
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"daily_life": 90,
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"emotional_support": 74,
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"work_productivity": 54,
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"creative_planning": 44
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},
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"source_distribution": {
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"DailyDialog": 3334,
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"MultiWOZ": 3333,
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"Taskmaster": 3333
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},
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"sample_rows": [
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{
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"id": "life_mt_sct_DailyDialog_test_000002_target4",
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"turns": 3,
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"checkpoint_count": 3,
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"first_reasoning": "The user mentions The taxi drivers are on strike again. 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 wait for ",
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"deep_reasoning": "The dialogue is about \"The taxi drivers are on strike.\" The user later explains \"They want the government to reduce the price of the.\" The answer should treat this as a discussion of the topic, not as",
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"answer": "It is really a hot potato.",
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"taxonomy": {
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"category": "social_communication",
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"subcategory": "social_issue",
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"intent_type": "information_request",
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"difficulty": "medium"
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}
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},
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{
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"id": "life_mt_sct_DailyDialog_test_000015_target4",
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"turns": 3,
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"checkpoint_count": 3,
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"first_reasoning": "The user mentions Do you have maps of downtown area?. It is not yet clear whether the user needs what specific help the user needs. The assistant should ask clarifying questions before providing a ful",
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"deep_reasoning": "Across the dialogue, the user discusses \"Do you have maps of downtown.\" over 3 turns. The answer should respond to the latest user turn naturally, maintaining the conversational tone.",
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"answer": "It's free of charge.",
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"taxonomy": {
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"category": "information_extraction",
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"subcategory": "general_query",
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"intent_type": "information_request",
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"difficulty": "easy"
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}
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},
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{
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"id": "life_mt_sct_MultiWOZ_PMUL4828.json_target4",
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"turns": 3,
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"checkpoint_count": 3,
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"first_reasoning": "The user mentions I need a train going to bishops stortford. 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 wait",
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"deep_reasoning": "Across the dialogue, the user is talking about train going to bishops stortford. Key context: I need a train going to bishops stortford; and where are you departing from; I'll be departing from Cambri",
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"answer": "And what day will you be traveling on?",
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"taxonomy": {
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"category": "information_extraction",
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"subcategory": "general_query",
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"intent_type": "information_request",
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"difficulty": "medium"
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}
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}
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]
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}
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