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--- |
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license: cc-by-4.0 |
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task_categories: |
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- text-generation |
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pretty_name: Only Clean Data (OCD) |
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size_categories: |
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- 10B<n<100B |
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--- |
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# Dataset Card for Only Clean Data (OCD) |
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If you are training base language models and want the cleanest sources available, OCD was built just for you. |
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## Dataset Details |
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### Dataset Description |
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It is without question that the quality of a language model rests on the quality of its training data. OCD is a meticulously curated and cleaned corpus of text documents, ensuring the highest quality text from a variety of sources. Part of this process includes manually inspecting (and sometimes manually fixing) thousands of documents. |
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Whenever problem documents are found (from e.g. conversion errors, or spam that got through), they are fixed for the next release. |
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### Dataset Sources |
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OCD currently consists of 3 subsets: |
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- Web data originating from [C4](https://huggingface.co/datasets/c4). This subset was heavily filtered to remove a lot of spam, templates, and other low quality data. It consists of approximately 18M documents, which is roughly 5% of the original 365M documents. |
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- Peer reviewed research originating from [PLOS](https://plos.org/text-and-data-mining/). Documents were normalized to markdown from the original JATS XML, and were processed to remove captions and references to missing figures. A large number of these documents were manually inspected to remove irrelevant files (e.g. journal announcements, letters to the editor, and short comments). |
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- Non-fiction books from [CCOpenBooks](https://huggingface.co/datasets/Daniel-P-Gonzalez/CCOpenBooks). This will be expanded soon, as the original collection was quite small. However, it contains only high quality text books, all of which have non-restrictive cc-by compatible licenses. |
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This dataset is actively in development, and will continue to be extended to include books, research, and other documents from various domains, code, documentation, and more. |
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## License |
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OCD is released under the cc-by-4.0 license. Note that this is directly compatible with [PLOS](https://plos.org/terms-of-use/) and CCOpenBooks ([cc-by-4.0](https://huggingface.co/datasets/Daniel-P-Gonzalez/CCOpenBooks)). |
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Documents originating from C4 were released under the ODC-BY license as noted [here](https://huggingface.co/datasets/c4#licensing-information). As this subset was derived from an enormous Common Crawl corpus, there is a possibility that it contains documents not compatible with this license. However, the heavy filtering applied as part of the OCD project greatly reduces this possibility. Additionally, any opt-out requests from content authors will be respected. |
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## Uses |
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The primary intended use of this dataset is for training base language models. |
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