Comments (1)
to encourage competitors to optimize their systems with their own bm25 values. Ive updated values for dev bm25 performance. I've also added the scope script used to initially retrieve the bm25 documents so that should help .
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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
- Training data with QID and PID HOT 2
- Broken eval script link in Ranking/README.md file HOT 1
- encoding, top1000.train, qrels.train HOT 1
- [encoding,Â] 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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