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following the introduction and requirements, Fine-tuning a retrieval mode based on "Luyu/co-condenser-marco", but loading the training data error
`
python -m dense.driver.train --output_dir ./ret…
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Hi @cmacdonald,
After the pull request, the code run perfectly.
However, I have some performance issue.
Requirements:
python-terrier==0.9.1
faiss-gpu==1.6.5
pyterrier-colbert==0.0.1
To cr…
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Hi, thanks for the great work.
I'd like to compute p-MRR in the paper, but not sure if it's implemented in this repo. There are some unclear parts so it would be good to see the code.
FYI, I alr…
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`get_relevant_chunks` gets sets of relevant passages via various retrieval methods (semantic/dense, sparse-embedding based, lexical/keyword, fuzzy); most of these produce scores (except fuzzy, I think…
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### Documentation Issue Description
The original question in the discussion remain unanswered, so I'm not sure if it is something obvious or if it is indeed a gap in documentation that needs to be co…
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The purpose of this issue is to explore the topic of Anonymity and Funding.
Some more details and observations are added as part of this open issue, below, along with a tentative proposal.
Observat…
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Hey,
I am building an information retrieval system fine tuning a siamese bert model on FAQ data in the form (question, answer, label) and using cosine sim for query and document. Both question and …
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Incident 29 concerns the "tank story," which may be apocryphal.
https://incidentdatabase.ai/cite/29
Incident 21 seems to be primarily about performance issues in a competition and is not necessari…
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Great work! I noticed that indexing and retrieving Chinese or Japanese documents shows low accuracy, is there any tricks to improve the performance without fine-tuning?