Datasets:
Eval metadata batch 1: BillSum, CoNLL2003, CoNLLPP, CUAD, Emotion, GigaWord, GLUE, Hate Speech 18, Hate Speech (#4335)
Browse files* adding evaluation metadata for the BillSum, BoolQ, CoNLL2003, CoNLLPP, CUAD, Emotion, GigaWord, GLUE, Hate Speech 18 and Hate Speech datasets>
* Update README.md
fixing tabs
* Update README.md
fixing tab
* Update README.md
fixing space
* Update README.md
fixing tabs
* Update README.md
changing the metric
* Update README.md
changing metric
* Update datasets/billsum/README.md
Co-authored-by: Quentin Lhoest <[email protected]>
* Update README.md
removing ROUGE args
* Update datasets/cuad/README.md
Co-authored-by: lewtun <[email protected]>
* Update datasets/cuad/README.md
Co-authored-by: lewtun <[email protected]>
* Update datasets/gigaword/README.md
Co-authored-by: Quentin Lhoest <[email protected]>
* Update README.md
removing ROUGE config
* Update README.md
removing eval for now
Co-authored-by: sashavor <[email protected]>
Co-authored-by: Quentin Lhoest <[email protected]>
Co-authored-by: lewtun <[email protected]>
Commit from https://github.com/huggingface/datasets/commit/14aca922c0dcf1d1fd4a36a6a84a1484bc62b7d2
@@ -20,6 +20,55 @@ task_ids:
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- multi-class-classification
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- text-classification-other-emotion-classification
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paperswithcode_id: emotion
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---
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# Dataset Card for "emotion"
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- multi-class-classification
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- text-classification-other-emotion-classification
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paperswithcode_id: emotion
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train-eval-index:
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- config: default
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task: text-classification
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task_id: multi_class_classification
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splits:
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train_split: train
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eval_split: test
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col_mapping:
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text: text
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label: target
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metrics:
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- type: accuracy
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name: Accuracy
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- type: f1
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name: F1 macro
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args:
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average: macro
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- type: f1
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name: F1 micro
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args:
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average: micro
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- type: f1
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name: F1 weighted
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args:
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average: weighted
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- type: precision
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name: Precision macro
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args:
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average: macro
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- type: precision
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name: Precision micro
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args:
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average: micro
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- type: precision
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name: Precision weighted
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args:
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average: weighted
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- type: recall
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name: Recall macro
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args:
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average: macro
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- type: recall
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name: Recall micro
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args:
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average: micro
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- type: recall
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name: Recall weighted
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args:
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average: weighted
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---
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# Dataset Card for "emotion"
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