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+# Dataset Card
+
+---
+license: cc-by-4.0
+language:
+- en
+tags:
+- streaming-cot
+- chain-of-thought
+- sft
+- text
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train.parquet
+  - split: eval
+    path: data/eval.parquet
+- config_name: high_quality
+  data_files:
+  - split: train
+    path: data/high_quality_train.parquet
+  - split: eval
+    path: data/high_quality_eval.parquet
+---
+
+# LifeTextSingleTurnStreamingCoT
+
+**Version:** vFinal
+
+A single-turn text dataset with streaming chain-of-thought reasoning for SFT. 6550 active training rows across daily-life, social, and productivity tasks.
+
+## Schema
+
+Top-level fields: `id, split, modality, turn_type, input, streaming, target, taxonomy, quality, source, metadata`
+
+- input (text, instruction, length_bucket)
+- target (reasoning, answer, response)
+- streaming (checkpoints with streaming_reasoning)
+- taxonomy (category, subcategory, difficulty, intent_type)
+
+### Target Format
+```json
+{
+  "reasoning": "Natural language reasoning about the task/input...",
+  "answer": "The actual task output...",
+  "response": "Reasoning: ...\n\nAnswer: ..."
+}
+```
+
+Use `target.response` for SFT training. It includes both reasoning and final answer.
+
+## Quality
+
+| Metric | Value |
+|--------|-------|
+| Active rows | 6,550 |
+| Train | 5,242 |
+| Eval | 1,308 |
+| High quality | 6,550 |
+| SFT-ready | 100.0% |
+| Target grounded | 100.0% |
+
+## High-Quality Configuration
+
+The `high_quality` config contains a filtered subset of default rows where `quality.sft_ready = true` and `quality.is_high_quality = true`. It is not additional unique data.
+
+## Limitations
+
+- Text-only dataset.
+- 
+- Natural-language reasoning is template-generated, not LLM-written.
+- Row counts reflect quality-filtered active splits suitable for direct SFT usage.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load default config
+ds = load_dataset("skyzhou06/LifeTextSingleTurnStreamingCoT")
+
+# Load high-quality subset
+ds_hq = load_dataset("skyzhou06/LifeTextSingleTurnStreamingCoT", "high_quality")
+```