Comments (3)
Thanks all. My apologies for the delayed response. We're in the process of transferring ownership of this repository to the Amsterdam IRLab and so hopefully the future maintainers will have a better response turnaround time.
I'm not a lawyer, but my understanding is that trec_eval
is a transitive dependency of pytrec_eval. The MIT license applies only to the source code present in this repository, and not the trec_eval
source code itself (since I have no control over that). The fact that trec_eval
uses a different license from pytrec_eval
is mentioned in the README: https://github.com/cvangysel/pytrec_eval#license.
We are not redistributing the trec_eval
code (either source or compiled) as part of the published Python package, since that triggers this code path and pulls in the trec_eval
source code at installation time. However, that may not be the case for the binary distributions published in the Terrier fork which is maintained by a 3rd party.
The license linked by @diegoceccarelli allows for non-commercial, research usage/modification and applies to trec_eval
as well. Hence, if you are allowed to use trec_eval
as a tool, you are also allowed to use pytrec_eval
.
from pytrec_eval.
This could also have repercussions for BEIR, which includes pytrec_eval
as a core dependency, and is licensed under Apache 2.0.
from pytrec_eval.
It looks like the license was added in b8358d4. cc: @cvangysel
from pytrec_eval.
Related Issues (20)
- new release? HOT 8
- Metrics missing when running evaluator twice
- Could you please explain how does the evaluation work when the grades are taken from two different ranges? HOT 1
- use complete set of queries from relevance judgments (-c) HOT 1
- Pip install error on windows 10, possible hardcoded path HOT 19
- Pytrec scores are not consistent in colab HOT 9
- List of supported metrics HOT 1
- pytrec-eval-terrier 0.5.1 HOT 4
- Range of doc score in run file HOT 1
- RelevanceEvaluator breaks when evaluating on multiple runs
- ndcg_cut.10 and -M 10 ndcg are different when multiple level of relevance is given. HOT 2
- iprec_at_recall trec_eval: duplicate cutoffs detected
- error when installing using pip HOT 6
- Issues when installing on Mac m1
- windows 10 installation HOT 2
- For those with SSL issues here is the fix: HOT 1
- CI/CD friendly wheel
- ERROR: Could not build wheels for pytrec-eval, which is required to install pyproject.toml-based projects HOT 7
- Faulty Scores Generated by Evaluator in Presence of Empty Relevance Sets
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from pytrec_eval.