Datasets:
Eval metadata batch 3: Reddit, Rotten Tomatoes, SemEval 2010, Sentiment 140, SMS Spam, Snips, SQuAD, SQuAD v2, Timit ASR (#4337)
Browse files* Eval metadata batch 3: Quora, Reddit, Rotten Tomatoes, SemEval 2010, Sentiment 140, SMS Spam, Snips, SQuAD, SQuAD v2, Timit ASR
* Update datasets/quora/README.md
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
* Update README.md
removing ROUGE args
* Update datasets/rotten_tomatoes/README.md
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
* Update datasets/rotten_tomatoes/README.md
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
* Update datasets/squad/README.md
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
* Update datasets/squad_v2/README.md
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
* Update datasets/squad/README.md
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
* Update datasets/squad_v2/README.md
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
* Update datasets/squad_v2/README.md
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
* Update README.md
removing eval for quora
Co-authored-by: sashavor <sasha.luccioni@huggingface.co>
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
Commit from https://github.com/huggingface/datasets/commit/8ccf58b77343f323ba6654250f88b69699a57b8e
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- intent-classification
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paperswithcode_id: sms-spam-collection-data-set
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pretty_name: SMS Spam Collection Data Set
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---
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# Dataset Card for [Dataset Name]
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@@ -59,7 +107,7 @@ pretty_name: SMS Spam Collection Data Set
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### Dataset Summary
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The SMS Spam Collection v.1 is a public set of SMS labeled messages that have been collected for mobile phone spam research.
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It has one collection composed by 5,574 English, real and non-enconded messages, tagged according being legitimate (ham) or spam.
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### Supported Tasks and Leaderboards
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- intent-classification
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paperswithcode_id: sms-spam-collection-data-set
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pretty_name: SMS Spam Collection Data Set
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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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col_mapping:
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sms: 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 [Dataset Name]
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### Dataset Summary
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The SMS Spam Collection v.1 is a public set of SMS labeled messages that have been collected for mobile phone spam research.
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It has one collection composed by 5,574 English, real and non-enconded messages, tagged according being legitimate (ham) or spam.
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### Supported Tasks and Leaderboards
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