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README.md

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 license: cc-by-4.0
+task_categories:
+- text-generation
+pretty_name: Only Clean Data (OCD)
+size_categories:
+- 10B<n<100B
 ---
+# Dataset Card for Only Clean Data (OCD)
+
+If you are training base language models and want the cleanest sources available, OCD was built just for you.
+
+## Dataset Details
+
+### Dataset Description
+
+All data added to OCD has been cleaned to ensure the highest possible quality. Part of this process includes manually inspecting (and sometimes manually fixing) thousands of documents.
+Whenever defects are found (from e.g. conversion errors), they will be fixed for the next major version.
+
+
+### Dataset Sources
+
+OCD currently consists of 2 major subsets:
+
+- Web data originating from [C4](https://huggingface.co/datasets/c4). This subset was heavily filtered to remove a lot of spam and templates. It consists of approximately 18M documents, which is roughly 5% of the original 365M documents.
+- 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. PLOS announcements, letters to the editor, and short comments).
+
+This dataset is actively in development, and will soon be extended to include various domains, including (appropriately licensed) books, research from other sources, code, and more.
+
+## Uses
+
+The primary intended use of this dataset is for training base language models. Given this, emphasis is put on gathering high quality data from a variety of sources.
+