v3
end-to-end-NLP-workflows-projects
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Complexity
Churn
Issues
A
benchmarks\nel\scripts\candidate_generation\base.py
6 5 1
A
benchmarks\textcat_architectures\scripts\functions.py
1 1 -
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benchmarks\ner_conll03\project.yml
 2 -
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benchmarks\textcat_architectures\test_project_textcat_arch.py
1 2 -
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benchmarks\healthsea_spancat\project.yml
 1 -
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benchmarks\ner_embeddings\scripts\cli_util.py
21 1 -
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benchmarks\nel\scripts\candidate_generation\lexical.py
6 4 -
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benchmarks\ud_benchmark\scripts\evaluate.py
43 2 1
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benchmarks\healthsea_spancat\scripts\evaluation.py
 1 -
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experimental\coref\scripts\concat_data.sh
 1 -
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benchmarks\ner_embeddings\scripts\constants.py
 1 -
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experimental\coref\scripts\prep_data.sh
 1 -
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.github\update_category_docs.py
 1 -
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experimental\coref\test_project_coref.py
3 1 1
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experimental\coref\scripts\run_eval.py
13 1 -
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.buildkite\speed.yml
 1 -
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azure-pipelines.yml
 10 -
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benchmarks\nel\scripts\__init__.py
 1 -
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benchmarks\nel\scripts\train.sh
 3 -
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benchmarks\speed\scripts\download_models.py
3 1 -