v3
end-to-end-NLP-workflows-projects
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Name
Complexity
Churn
Issues
A
benchmarks\parsing_penn_treebank\project.yml
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.github\update_category_docs.py
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benchmarks\span-labeling-datasets\project.yml
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benchmarks\nel\configs\datasets.yml
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benchmarks\span-labeling-datasets\scripts\analyze.py
15 1 -
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.github\workflows\build-docs.yml
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benchmarks\span-labeling-datasets\scripts\convert_to_spans.py
16 2 -
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benchmarks\nel\scripts\datasets\evaluation.py
41 8 -
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benchmarks\span-labeling-datasets\scripts\prepare_finer.py
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.github\update_configs.py
6 1 -
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benchmarks\span-labeling-datasets\scripts\preprocess.py
8 1 -
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benchmarks\nel\scripts\datasets\utils.py
27 6 1
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benchmarks\span-labeling-datasets\scripts\toxic_spans.py
13 1 2
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benchmarks\nel\project.yml
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benchmarks\speed\project.yml
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benchmarks\nel\scripts\parse_corpus.py
1 1 -
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.buildkite\speed.yml
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azure-pipelines.yml
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benchmarks\nel\scripts\__init__.py
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benchmarks\nel\scripts\train.sh
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