README.md

metadata

dataset_info:
  features:
    - name: id
      dtype: int64
    - name: conversations
      list:
        - name: role
          dtype: string
        - name: content
          dtype: string
        - name: thinking
          dtype: 'null'
    - name: status
      dtype: string
  splits:
    - name: train
      num_bytes: 20379033667
      num_examples: 1418401
      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 (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.

• 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)

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How to Load / Download

Using the datasets library

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:

--train-data-path jihwan1205/perfectblend-qwen3-8b-regen

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License

Same as the source dataset Open Perfect Blend. Please check the original dataset page for license details.

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Citation

If you use this dataset, please cite the original Perfect Blend and the model used for regeneration (Qwen3-8B).