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Datasets:
tweet_eval

Tasks:
Text Classification
Sub-tasks:
intent-classification
multi-class-classification
sentiment-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
10K<n<100K
1K<n<10K
Language Creators:
found
Annotations Creators:
found
Source Datasets:
extended|other-tweet-datasets
ArXiv:
Tags:
License:
Dataset card Viewer Files Community
4
Sasha Luccioni commited on
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1 Parent(s): b7ea7b8

Eval metadata Batch 4: Tweet Eval, Tweets Hate Speech Detection, VCTK, Weibo NER, Wisesight Sentiment, XSum, Yahoo Answers Topics, Yelp Polarity, Yelp Review Full (#4338)

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* Eval metadata for Tweet Eval, Tweets Hate Speech Detection, VCTK, Weibo NER, Wisesight Sentiment, XSum, Yahoo Answers Topics, Yelp Polarity, Yelp Review Full

* Update README.md

oops, duplicate

* Update README.md

adding header

* Update README.md

adding header

* Update datasets/xsum/README.md

Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* Update README.md

removing ROUGE args

* Update README.md

removing F1 params

* Update README.md

* Update README.md

updating to binary F1

* Update README.md

oops typo

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F1 binary

Co-authored-by: sashavor <sasha.luccioni@huggingface.co>
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

Commit from https://github.com/huggingface/datasets/commit/bce8e6541af98cb0e06b24f9c96a6431cf813a38

Files changed (1) hide show
  1. README.md +218 -1
README.md CHANGED
@@ -89,6 +89,223 @@ task_ids:
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  - multi-class-classification
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  paperswithcode_id: tweeteval
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  pretty_name: TweetEval
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for tweet_eval
@@ -482,7 +699,7 @@ If you use any of the TweetEval datasets, please cite their original publication
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  ```
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  @inproceedings{barbieri2018semeval,
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  title={Semeval 2018 task 2: Multilingual emoji prediction},
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- author={Barbieri, Francesco and Camacho-Collados, Jose and Ronzano, Francesco and Espinosa-Anke, Luis and
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  Ballesteros, Miguel and Basile, Valerio and Patti, Viviana and Saggion, Horacio},
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  booktitle={Proceedings of The 12th International Workshop on Semantic Evaluation},
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  pages={24--33},
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  - multi-class-classification
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  paperswithcode_id: tweeteval
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  pretty_name: TweetEval
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+ train-eval-index:
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+ - config: emotion
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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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+ - config: hate
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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 binary
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+ args:
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+ average: binary
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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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+ - config: irony
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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 binary
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+ args:
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+ average: binary
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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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+ - config: offensive
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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 binary
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+ args:
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+ average: binary
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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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+ - config: sentiment
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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 tweet_eval
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  ```
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  @inproceedings{barbieri2018semeval,
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  title={Semeval 2018 task 2: Multilingual emoji prediction},
702
+ author={Barbieri, Francesco and Camacho-Collados, Jose and Ronzano, Francesco and Espinosa-Anke, Luis and
703
  Ballesteros, Miguel and Basile, Valerio and Patti, Viviana and Saggion, Horacio},
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  booktitle={Proceedings of The 12th International Workshop on Semantic Evaluation},
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  pages={24--33},