Datasets:
v1_7 update
Browse files
README.md
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To learn more about the toolkit used to create Dolma, including how to replicate this dataset, head over our [GitHub project page](https://github.com/allenai/dolma/tree/main/docs)!
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**2024-04-15: License Change.** We have updated the license of Dolma to [ODC-BY](https://opendatacommons.org/licenses/by/1-0/). Please see this [blog post](https://blog.allenai.org/making-a-switch-dolma-moves-to-odc-by-8f0e73852f44) for more information.
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## Versions
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At the moment, there are
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| **Version** | **Default?** | **Release Date** | **Size** (gzip) | **Description** |
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| `v1_6-sample` | | 2024-01-31 | 16.4 GB | A smaller sample of Dolma, with roughly 10 billion tokens. Useful for data exploration. |
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| `v1_5` | | 2023-10-31 | 6.4 TB | The version of Dolma used to train [OLMo-1B](https://huggingface.co/allenai/OLMo-1B). Roughly 3 trillion tokens. |
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| `v1_5-sample` | | 2023-10-31 | 2.9 TB | A sample of roughly 1.9 trillion tokens used to train [OLMo-7B](https://huggingface.co/allenai/OLMo-7B) |
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| `v1` | | 2023-08-18 | 6.0 TB | The first version of Dolma. |
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(Size difference between `v1_6` and previous version is due to different set of metadata included in files: we removed redundant metadata in `v1_6`.)
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## Summary Statistics (v1.
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| **Source** | **Doc Type** | **UTF-8 bytes** (GB) | **Documents** (millions) | **Unicode words** (billions) | **Llama tokens** (billions) |
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| **Total** | | **11,519** | **4,367** | **2,318** | **3,059** |
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## Download
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journal={arXiv preprint},
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}
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```
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To learn more about the toolkit used to create Dolma, including how to replicate this dataset, head over our [GitHub project page](https://github.com/allenai/dolma/tree/main/docs)!
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**2024-04-17: Dolma v1.7 Release.** We have released an updated version of Dolma that we used to train our latest [OLMo 7B-v1.7](https://huggingface.co/allenai/OLMo-7b-v1.7) model.
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**2024-04-15: License Change.** We have updated the license of Dolma to [ODC-BY](https://opendatacommons.org/licenses/by/1-0/). Please see this [blog post](https://blog.allenai.org/making-a-switch-dolma-moves-to-odc-by-8f0e73852f44) for more information.
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## Versions
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At the moment, there are six versions of Dolma available:
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| **Version** | **Default?** | **Release Date** | **Size** (gzip) | **Description** |
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| `v1_7` | ✅ | 2024-04-15 | X.X TB | Used to train [OLMo-7B-v1.7](https://huggingface.co/allenai/OLMo-7b-v1.7). |
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| `v1_6` | | 2024-01-31 | 5.4 TB | An update to v1.5 with some bug-fixes. |
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| `v1_6-sample` | | 2024-01-31 | 16.4 GB | A smaller sample of Dolma, with roughly 10 billion tokens. Useful for data exploration. |
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| `v1_5` | | 2023-10-31 | 6.4 TB | The version of Dolma used to train [OLMo-1B](https://huggingface.co/allenai/OLMo-1B). Roughly 3 trillion tokens. |
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| `v1_5-sample` | | 2023-10-31 | 2.9 TB | A sample of roughly 1.9 trillion tokens used to train [OLMo-7B](https://huggingface.co/allenai/OLMo-7B) |
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| `v1` | | 2023-08-18 | 6.0 TB | The first version of Dolma. |
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## Summary Statistics (v1.7)
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| **Source** | **Provenance** | **New?** | **Documents** (millions) | **OLMo tokens** (billions) | **Sample Proportion** | **Cutoff Date** | **Processing**
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| Dolma's CC | [Common Crawl](https://commoncrawl.org/) via Dolma v1.6 | Updated | | 1,195.5 | 50% | Mar 2023 | Extracted using the Dolma pipeline; new quality filtering and deduplication steps. |
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| Refined Web | [Refined Web](https://huggingface.co/datasets/tiiuae/falcon-refinedweb) | Yes | | 456.4 | 100% | Feb 2023 | |
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| StarCoder | [StarCoder](https://huggingface.co/blog/starcoder) | Yes | | 263.8 | 100% | May 2023 | No further processing |
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| C4 | [C4](https://huggingface.co/datasets/c4) via Dolma v1.6 | Updated | | 138.4 | 50% | Apr 2019 | Filtered using the Dolma pipeline; new quality filtering and deduplication steps. |
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| Reddit | [PushShift API](https://github.com/pushshift/api) | Updated | | 79.9 | 100% | Mar 2023 | Extracted using the Dolma pipeline; new quality filtering and deduplication steps. |
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| Semantic Scholar | [S2AG/S2ORC](https://www.semanticscholar.org/product/api)/[peS2o](https://huggingface.co/datasets/allenai/peS2o) via Dolma v1.6 | No | 38.8 | 57.2 | 100% | Mar 2023 | Same as Dolma v1.6 |
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| Project Gutenberg | [Project Gutenberg](https://www.gutenberg.org/) | No | 0.056 | 6.0 | 100% | Mar 2023 | Same as Dolma v1.6 |
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## Summary Statistics (v1.6)
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| **Source** | **Doc Type** | **UTF-8 bytes** (GB) | **Documents** (millions) | **Unicode words** (billions) | **Llama tokens** (billions) |
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| **Total** | | **11,519** | **4,367** | **2,318** | **3,059** |
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(Size difference between `v1_6` and `v1_5` is due to different set of metadata included in files: we removed redundant metadata in `v1_6`.)
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## Download
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journal={arXiv preprint},
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}
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```
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