Add real MultiWOZ 2.2 and Taskmaster data with improved quality pipeline

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+eval.jsonl filter=lfs diff=lfs merge=lfs -text
+train.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+pretty_name: LifeMultiTurnStreamingCoT
+language:
+- en
+license: apache-2.0
+version: "v0.1"
+task_categories:
+- text-generation
+tags:
+- streaming-reasoning
+- rule-based-reasoning
+- multi-turn-dialogue
+- life-assistant
+- supervised-fine-tuning
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: train.jsonl
+  - split: test
+    path: eval.jsonl
+---
+# LifeMultiTurnStreamingCoT
+
+LifeMultiTurnStreamingCoT is a text-to-text multi-turn life-domain dataset. Each row uses previous user-assistant dialogue turns as input, deterministic turn-level streaming state tracking as intermediate supervision, a compact final-state-based deep reasoning summary, and the next assistant turn as the answer.
+
+This version adds real task-oriented multi-turn dialogue data from MultiWOZ 2.2 and Taskmaster, alongside the existing DailyDialog source. The quality pipeline was upgraded with source-aware metadata, real-data checks, multi-turn validation, placeholder filtering, length checks, role-alternation checks, and task-oriented reasoning templates for slot/constraint tracking.
+
+## Current Demo/Build Statistics
+
+- Version: v0.1
+- Total rows: 30000
+- Train rows: 24215
+- Eval rows: 5785
+- High-quality train rows: 15283
+- High-quality eval rows: 3669
+- Average input turns: 9.706
+- Average streaming chunks: 9.706
+- Source distribution: {"DailyDialog": 10000, "MultiWOZ": 10000, "Taskmaster": 10000}
+- Category distribution: {"daily_dialogue": 10000, "task_oriented_dialogue": 20000}
+
+## Sources
+
+- DailyDialog: daily multi-turn dialogue.
+- MultiWOZ 2.2: multi-domain task-oriented dialogue.
+- Taskmaster: real task-oriented dialogue from Taskmaster conversations.
+
+## Schema
+
+Rows contain `id`, `source_dataset`, `source_id`, `dialogue_id`, `domain`, `task_type`, `dialogue_history`, `streaming_chunks`, `deep_reasoning`, `answer`, `metadata`, `quality_flags`, `quality_score`, `is_high_quality`, and `split`. The final schema remains unified across sources; source-specific details such as source, category, domain/services, scenario, original split, and raw file are kept in `metadata`.
+
+## Reasoning
+
+Streaming reasoning is generated by deterministic rule-based state tracking over turn-level chunks. DailyDialog rows focus on daily intent, tone, and continuity. MultiWOZ and Taskmaster rows use task-oriented templates for goal, known constraints, missing information, scenario/domain, and next-step policy. Deep reasoning is a compact global summary from the final tracked state, dialogue history, and target answer. The answer is not rewritten by default; it comes from the original next assistant turn.
+
+## Quality
+
+`quality_flags` and `metadata.quality_checks` support filtering by real-source status, multi-turn context, non-empty reasoning, placeholder detection, length checks, and role alternation. Raw external data is not committed to git; processed train/eval files are intended for upload to `skyzhou06/LifeMultiTurnStreamingCoT`.
+
+## Leakage Control
+
+Train/eval splitting is performed by `dialogue_id`, so prefix samples from the same dialogue do not appear in both splits.

dataset_info.json

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+{
+  "avg_num_chunks": 9.706,
+  "avg_num_turns": 9.706,
+  "category_distribution": {
+    "daily_dialogue": 10000,
+    "task_oriented_dialogue": 20000
+  },
+  "dataset_name": "LifeMultiTurnStreamingCoT",
+  "domain_distribution": {
+    "cooking": 1027,
+    "customer_service": 192,
+    "daily_advice": 726,
+    "emotional_support": 131,
+    "fitness": 226,
+    "health_routine": 221,
+    "home": 535,
+    "other_life": 2584,
+    "personal_finance": 135,
+    "schedule": 2908,
+    "shopping": 1321,
+    "social_planning": 409,
+    "study": 1053,
+    "travel": 18532
+  },
+  "eval_rows": 5785,
+  "high_quality_eval_rows": 3669,
+  "high_quality_train_rows": 15283,
+  "quality_flag_distribution": {
+    "answer_not_grounded": 1292,
+    "generic_answer": 333,
+    "premature_respond": 4690,
+    "repeated_turns": 4260,
+    "target_leakage": 176,
+    "too_many_turns": 23590,
+    "too_short_average_turn": 10026,
+    "weak_final_state": 8627,
+    "weak_target_answer": 2756
+  },
+  "source_distribution": {
+    "DailyDialog": 10000,
+    "MultiWOZ": 10000,
+    "Taskmaster": 10000
+  },
+  "total_rows": 30000,
+  "train_rows": 24215,
+  "version": "v0.1"
+}

eval.jsonl

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train.jsonl

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