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--- |
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language: |
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- en |
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license: mit |
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task_categories: |
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- text-generation |
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- fill-mask |
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- text-classification |
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- retrieval |
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tags: |
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- pretraining |
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- language-modeling |
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- encoder |
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- decoder |
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- foundation-model |
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- transformer |
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--- |
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# Ettin Pre-training Data |
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[](https://opensource.org/licenses/MIT) |
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[](https://arxiv.org/abs/2507.11412) |
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[](https://huggingface.co/jhu-clsp) |
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[](https://github.com/jhu-clsp/ettin-encoder-vs-decoder) |
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> **Phase 1 of 3**: Diverse pre-training data mixture (1.7T tokens) used to train the Ettin model suite. |
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This dataset contains the pre-training phase data used to train all [Ettin encoder and decoder models](https://huggingface.co/jhu-clsp). The data is provided in **MDS format** ready for use with [Composer](https://github.com/mosaicml/composer) and the [ModernBERT training repository](https://github.com/answerdotai/ModernBERT). |
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## 📊 Data Composition |
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| Data Source | Tokens (B) | Percentage | Description | |
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|:------------|:-----------|:-----------|:------------| |
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| DCLM | 837.2 | 49.1% | High-quality web crawl data | |
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| CC Head | 356.6 | 20.9% | Common Crawl head documents | |
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| Starcoder | 263.9 | 15.5% | Code repositories and files | |
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| Reddit | 80.3 | 4.7% | Social discussion threads | |
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| PeS2o | 57.3 | 3.4% | Scientific papers | |
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| Arxiv | 28.0 | 1.6% | Academic preprints | |
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| StackExchange | 19.6 | 1.2% | Q&A forums | |
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| Tulu Flan | 16.6 | 1.0% | Instruction-following data | |
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| Open-Web-Math | 12.7 | 0.7% | Mathematical content | |
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| Algebraic StackExchange | 12.6 | 0.7% | Math Q&A | |
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| CC News | 7.3 | 0.4% | News articles | |
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| Wikipedia | 7.3 | 0.4% | Encyclopedia articles | |
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| **Total** | **1,704.7** | **100.0%** | Diverse mixture for foundation training | |
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## 🚀 Usage |
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For pre-training, see the ModernBERT repo: https://github.com/AnswerDotAI/ModernBERT |
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### Direct Access |
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```python |
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from streaming import StreamingDataset |
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# Load the streaming dataset |
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dataset = StreamingDataset( |
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remote='https://huggingface.co/datasets/jhu-clsp/ettin-pretraining-data', |
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local='/tmp/ettin-pretraining-data', |
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shuffle=True |
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) |
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# Access samples |
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for sample in dataset: |
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text = sample['text'] |
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# Process your data... |
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``` |
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## 📁 Structure |
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Each folder contains one data source in MDS (Mosaic Data Shard) format: |
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- `arxiv/` - Academic papers from ArXiv |
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- `books/` - Literature and reference books |
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- `cc_head/` - High-quality Common Crawl documents |
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- `cc_news/` - News articles from Common Crawl |
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- `dclm/` - DataComp-LM filtered web data |
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- `open_web_math/` - Mathematical web content |
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- `algebraic_stackexchange/` - Math Q&A from StackExchange |
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- `pes2o/` - Scientific papers (PeS2o dataset) |
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- `reddit/` - Reddit discussion threads |
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- `stackexchange/` - General StackExchange Q&A |
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- `starcoder/` - Code from GitHub repositories |
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- `tulu_flan/` - Instruction-following examples |
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- `wikipedia/` - Wikipedia articles |
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## 🔗 Related Resources |
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- **Models**: [Ettin Model Suite](https://huggingface.co/collections/jhu-clsp/encoders-vs-decoders-the-ettin-suite-686303e16142257eed8e6aeb) (17M-1B parameters) |
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- **Phase 2**: [Mid-training Data](https://huggingface.co/datasets/jhu-clsp/ettin-extension-data) (250B tokens) |
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- **Phase 3**: [Decay Phase Data](https://huggingface.co/datasets/jhu-clsp/ettin-decay-data) (50B tokens) |
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- **Training Order**: [Batch-level Data Order](https://huggingface.co/datasets/jhu-clsp/ettin-data-order) |
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- **Paper**: [Arxiv link](https://arxiv.org/abs/2507.11412) |
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- **Code**: [GitHub Repository](https://github.com/jhu-clsp/ettin-encoder-vs-decoder) |
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## Citation |
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```bibtex |
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@misc{weller2025seqvsseqopen, |
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title={Seq vs Seq: An Open Suite of Paired Encoders and Decoders}, |
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author={Orion Weller and Kathryn Ricci and Marc Marone and Antoine Chaffin and Dawn Lawrie and Benjamin Van Durme}, |
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year={2025}, |
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eprint={2507.11412}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2507.11412}, |
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} |
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``` |
