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- license: agpl-3.0
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+ license: agpl-3.0
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+ This is an embeddings dataset for the Caselaw Access Project, created by a user named Endomorphosis.
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+ Each caselaw entry is hashed with IPFS / multiformats, so retrieval of the document can be made over the IPFS / filecoin network
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+ The ipfs content id "cid" is the primary key that links the dataset to the embeddings, should you want to retrieve from the dataset instead.
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+ The dataset has been had embeddings generated with three models: thenlper/gte-small, Alibaba-NLP/gte-large-en-v1.5, and Alibaba-NLP/gte-Qwen2-1.5B-instruct
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+ Those models have a context length of 512, 8192, and 32k tokens respectively, with 384, 1024, and 1536 dimensions
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+ These embeddings are put into 4096 clusters, the centroids for each cluster is provided, as well as the content ids for each cluster, for each model.
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+ To search the embeddings on the client side, it would be wise to first query against the centroids, and then retrieve the closest gte-small cluster, and then query against the cluster.