Update README.md

README.md

@@ -17,11 +17,75 @@ dataset_info:
   - name: train
     num_bytes: 20379033667
     num_examples: 1418401
-  download_size: 20358035838
-  dataset_size: 20379033667
+    download_size: 20358035838
+    dataset_size: 20379033667
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
 ---
+
+# Perfect Blend - Qwen3-8B Regenerated
+
+## Dataset Description
+
+This dataset is a **regenerated** version of the [Open Perfect Blend](https://huggingface.co/datasets/mlabonne/open-perfectblend) (Perfect Blend) data. Each conversation was re-generated by **Qwen/Qwen3-8B** as the target model, so that the responses follow the target model's output distribution. It is intended for training **speculative decoding draft models** (e.g., DFlash, EAGLE) that align with Qwen3-8B, such as in [SpecForge](https://github.com/volcengine/SpecForge).
+
+- **Target model:** Qwen/Qwen3-8B  
+- **Source:** Perfect Blend (mlabonne/open-perfectblend)  
+- **Splits:** `train` (1.42M rows)  
+- **Approximate size:** ~20.4 GB (Parquet)
+
+### Data Structure
+
+| Column          | Type   | Description                                       |
+|-----------------|--------|---------------------------------------------------|
+| `id`            | int64  | Sample index                                      |
+| `conversations` | list   | List of turns with `role`, `content`, `thinking`  |
+| `status`        | string | e.g. `"success"` for successful regeneration      |
+
+Each item in `conversations` has:
+- `role`: `"user"` or `"assistant"`
+- `content`: text of the message
+- `thinking`: optional thinking content (e.g. for reasoning models)
+
+---
+
+## How to Load / Download
+
+### Using the `datasets` library
+
+```python
+from datasets import load_dataset
+
+# Load the full dataset
+dataset = load_dataset("jihwan1205/perfectblend-qwen3-8b-regen", split="train")
+
+# With streaming to avoid loading everything into memory
+dataset = load_dataset(
+    "jihwan1205/perfectblend-qwen3-8b-regen",
+    split="train",
+    streaming=True
+)
+```
+
+### Using in SpecForge (e.g. DFlash online training)
+
+Use this dataset as the training data path:
+
+```bash
+--train-data-path jihwan1205/perfectblend-qwen3-8b-regen
+```
+
+---
+
+## License
+
+Same as the source dataset [Open Perfect Blend](https://huggingface.co/datasets/mlabonne/open-perfectblend). Please check the original dataset page for license details.
+
+---
+
+## Citation
+
+If you use this dataset, please cite the original Perfect Blend and the model used for regeneration (Qwen3-8B).