Added text classification datasets from Glue benchmark #2363
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Three language inference (NLI) tasks: MNLI, QNLI, WNLI. Two paraphrase identification tasks: MRPC, QQP. MRPC already comes with an annotated test set, where others have eval_datasets without labels.
marcelmmm
reviewed
Aug 6, 2021
flair/datasets/text_text.py
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| matched_suffix = "matched" if evaluate_on_matched else "mismatched" | ||
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| dev_dataset = "MNLI/dev_" + matched_suffix + ".tsv" |
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I think there is aproblem with the path here. I get an assertion error when first initializing the corpus. Maybe one 'MNLI' too much.
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Indeed! Thanks for pointing that out. I fixed the path for MNLI and trained the small electra model with it. MNLI seems to work now : )
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@lukasgarbas thanks for adding this! |
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Following datasets from GLUE were added:
The only missing dataset is Semantic Textual Similarity STS-B, which is a text-pair regression task and would probably require a TextPairRegressor model.