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A simple toolkit to process TREC files in Python.

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Great library, thanks for all the excellent work! I'm trying to fuse 5 CSV files generated by 5 ranking models, after reading the documentation(example 6) I still don't know how...

Hi everyone! I thought it might be useful to have the license information displayed on github in addition to PyPi. I used the paper authors as holders of the copyright...

It would be nice for downstream distros if releases would be tagged in git/github.

Hi, Is recall at different depths supported by the tool?

Hi @joaopalotti, It seems that for malformed lines, such as: ![image](https://user-images.githubusercontent.com/20051071/135396058-898eb81e-b1aa-4cf2-a0d0-b52222ed5e6a.png) trec_eval throws: trec_eval.get_results: Malformed line 790 While trec_tools does not. I am not sure that this is a bad...

enhancement
help wanted

I came across an issue with the calculation of the mean average precision of pooled evaluations which results in mAP@k being lower than expected if k is lesser than the...

bug
help wanted

The **Evaluation Measures** part of the readme mentions that the project has an implementation of recall at depth K, but I couldn't find one.

enhancement

For an overview of the missing measures, one can run `trec_eval -h -m set`.

enhancement

I think this should be a fairly straight forward addition, each topic in MSMARCO is just a topic id and query separated by tab. Example: ``` 1108939 what slows down...

enhancement