|
--- |
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dataset_info: |
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features: |
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- name: token_count |
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dtype: int32 |
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- name: text |
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dtype: string |
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- name: score |
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dtype: float64 |
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splits: |
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- name: train |
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num_bytes: 10766525501.0 |
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num_examples: 2000000 |
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download_size: 5790667341 |
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dataset_size: 10766525501.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# DraftWeb-v1 Dataset Card |
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## Dataset Description |
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A large-scale dataset created by combining educational mathematics problems and web content to create a continued pretraining dataset for LLMs. The dataset contains 2,000,000 high-quality examples sorted by content relevance scores. |
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## Data Source |
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- **Math Content**: Hugging Face `finemath-4plus` dataset (educational math problems) |
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- **Web Content**: Hugging Face `fineweb-edu` dataset (web pages from Common Crawl) |
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## Training Data |
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- 1,000,000 math examples with token counts |
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- 1,000,000 web examples with token counts |
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- Combined and shuffled for model training |
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## Dataset Statistics |
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- **Total Examples**: 2,000,000 |
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- **Total Tokens**: 2.7 billion |
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- Math Token Count: 1.61 billion |
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- Web Token Count: 1.11 billion |
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- **Languages**: English (primary) |
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- **Content Types**: Text-based math problems and web pages |
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## Data Processing |
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1. Removed non-essential metadata columns |
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2. Standardized token count measurement |
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3. Sorted by source dataset scores (descending) |
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4. Selected top 1 million examples from each source |
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5. Combined and shuffled for model training |
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## Usage |
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- Fine-tuning foundation language models |
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- Instruction tuning for educational applications |
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- Web content understanding tasks |
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- Research in educational AI systems |
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## Licensing |
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- Inherits licenses from source datasets: |
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- `finemath-4plus`: CC BY 4.0 |
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- `fineweb-edu`: CC BY-SA 4.0 |
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- For commercial use, please verify specific license requirements |
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## Evaluation |
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- Original datasets contained quality scores used for selection |
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- Recommended evaluation metrics: |
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- Text quality scoring |
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- Relevance prediction accuracy |
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- Downstream task performance (e.g., question answering) |
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## Dataset Provenance |
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- Hosted on Hugging Face Hub: `qingy2024/DraftWeb-v1` |
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- Creation date: July 14, 2025 |
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- Version: 1.0 |
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## Dataset Expansion |
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- Potential future versions: |
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- Multilingual expansion |
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- Specialized domain versions |
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- Time-based snapshots |