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conceptofmind
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README.md
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In collaboration with Ravel Law, Harvard Law Library digitized over 40 million U.S. court decisions consisting of 6.7 million cases from the last 360 years into a dataset that is widely accessible to use. Access a bulk download of the data through the Caselaw Access Project API (CAPAPI): https://case.law/caselaw/
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Teraflop AI’s data engine allows for the massively parallel processing of web-scale datasets into cleaned text form. Our one-click deployment allowed us to easily split the computation between 1000s of nodes on our managed infrastructure.
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<img src="https://huggingface.co/datasets/TeraflopAI/Caselaw_Access_project/resolve/main/cap.png" width="800">
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# The Caselaw Access Project
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In collaboration with Ravel Law, Harvard Law Library digitized over 40 million U.S. court decisions consisting of 6.7 million cases from the last 360 years into a dataset that is widely accessible to use. Access a bulk download of the data through the Caselaw Access Project API (CAPAPI): https://case.law/caselaw/
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Teraflop AI’s data engine allows for the massively parallel processing of web-scale datasets into cleaned text form. Our one-click deployment allowed us to easily split the computation between 1000s of nodes on our managed infrastructure.
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# FAISS Index
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We built a FAISS index over all of the post-processed legal texts. The index consists of ~6.6 million dense vectors and the average search speed of a query over the entire index is 12.46 milliseconds.
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The FAISS library by @Meta allows you to perform k-nearest neighbor search efficiently and in a scalable way over millions of dense vectors. Find the FAISS library here: https://github.com/facebookresearch/faiss
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The combination of an Inverted File Index (IVF), Product quantization (PQ), and Hierarchical Navigable Small World (HNSW) allows us to run these queries across all of the dense vectors in milliseconds. Find more information about everything here: https://github.com/facebookresearch/faiss/wiki/Faiss-indexes
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# Licensing Information
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The Caselaw Access Project dataset is licensed under the [CC0 License](https://creativecommons.org/public-domain/cc0/).
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# Citation Information
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```
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The President and Fellows of Harvard University. "Caselaw Access Project." 2024, https://case.law/
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```
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```
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@misc{ccap,
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title={Cleaned Caselaw Access Project},
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author={Enrico Shippole, Aran Komatsuzaki},
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howpublished{\url{https://huggingface.co/datasets/TeraflopAI/Caselaw_Access_Project}},
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year={2024}
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}
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```
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