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The project contains indexes, datasets, checkpoints for RAG training and research.
Sources
- checkpoint: ColBERTv2 (https://downloads.cs.stanford.edu/nlp/data/colbert/colbertv2/colbertv2.0.tar.gz)
- dataset: wiki_dpr (https://github.com/facebookresearch/DPR/blob/main/dpr/data/download_data.py)
- indexes (https://github.com/ittia-research/check/tree/main/datasets/wiki_dpr)
- indexing config:
ColBERTConfig(nbits=2, doc_maxlen=220) - Didn't compress the index files to one archive because compress save less than 5% space and takes a long time.
- indexing config:
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