Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
English
Size:
100K - 1M
License:
Autoeval config (#4234)
Browse files* autoeval config added
* autoeval config added
* Added autonlp config changes
https://github.com/huggingface/autonlp-backend/issues/414
* multi-input text classification as task id instead of category
* improve metadata validation:
- support YAML keys with dashes
- add train-eval-index validation
* revert debugging stuff
* fix tests
* style
* Update metadata.py
* Update metadata.py
Co-authored-by: Quentin Lhoest <lhoest.q@gmail.com>
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
Commit from https://github.com/huggingface/datasets/commit/6af556b64d54374133fe7bf3f1ffba1d82c49269
README.md
CHANGED
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@@ -19,6 +19,55 @@ task_categories:
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task_ids:
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- sentiment-classification
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paperswithcode_id: imdb-movie-reviews
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---
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# Dataset Card for "imdb"
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task_ids:
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- sentiment-classification
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paperswithcode_id: imdb-movie-reviews
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train-eval-index:
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- config: plain_text
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task: text-classification
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task_id: binary_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 "imdb"
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