Comments (2)
Yes, itβs a good idea.
Some people may not be interested to passage contents and just want to train based on current top retrieval results.
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Sorry for the delay on this but I finally got you. https://msmarco.blob.core.windows.net/msmarcoranking/qidpidtriples.train.full.tar.gz
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Related Issues (20)
- MSMARCOV2/Ranking/README.md is not formatted correctly HOT 1
- How were passage reranking triples generated? HOT 2
- keyerror HOT 3
- Cannot find the top1000.eval for testing HOT 1
- Full Document May be incorrect tokenization in document_text HOT 2
- Collection paragraph metadata HOT 3
- BM25 relevance values for top 1000 eval/dev? HOT 1
- Broken eval script link in Ranking/README.md file HOT 1
- encoding, top1000.train, qrels.train HOT 1
- [encoding,Γ] top1000.dev.tsv HOT 6
- Need more explanation about Reranking Dataset HOT 1
- KeyError for converttowellformed.py HOT 1
- Different number of queries in collectionandqueries.tar.gz and top1000.dev.tar.gz HOT 1
- Invalid line breaks in the top1000 TSV files of the reranking datasets HOT 4
- Partially duplicated passages extracted HOT 4
- Passage IDs in Qna Dataset HOT 1
- OpenKPAnnotations.tsv for Key Phrase Extraction HOT 1
- dev_as_references.json is from V1? HOT 2
- Regarding the Test Set for Q&A HOT 2
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