Create README.md

README.md

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+# Datacomp200m 
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+This is a smaller version of the [datacomp1b](mlfoundations/datacomp_1b) dataset. 
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+Filtering was done by taking all rows that had self similarity (inner product) above 0.32. This resulted in 213009083 (213 million) rows. 
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+The results of the datacomp paper suggest that filtering by CLIP score is better than random sampling. 
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+Included in this repo are search indices created using autofaiss, over the text and image embeddings. 
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+I would suggest using [embedding-reader](https://github.com/rom1504/embedding-reader) to load the text and image embeddings.