Update README.md

README.md

@@ -14,20 +14,27 @@ If you are training base language models and want the cleanest sources available
 
 ### 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.
+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.
+Whenever problem documents are found (from e.g. conversion errors, or spam that got through), they are fixed for the next release.
 
 
 ### Dataset Sources
 
-OCD currently consists of 2 major subsets:
+OCD currently consists of 3 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).
+- 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.
+- 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).
+- 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.
 
-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.
+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.
+
+## License
+
+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)).
+
+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.
 
 ## 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.
+The primary intended use of this dataset is for training base language models.