Datasets:
sms_spam

Task Categories: text-classification
Languages: en
Multilinguality: monolingual
Size Categories: 1K<n<10K
Licenses: unknown
Language Creators: crowdsourced found
Annotations Creators: crowdsourced found

Dataset Card for [Dataset Name]

Dataset Summary

The SMS Spam Collection v.1 is a public set of SMS labeled messages that have been collected for mobile phone spam research. It has one collection composed by 5,574 English, real and non-enconded messages, tagged according being legitimate (ham) or spam.

Supported Tasks and Leaderboards

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Languages

English

Dataset Structure

Data Instances

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Data Fields

  • sms: the sms message
  • label: indicating if the sms message is ham or spam, ham means it is not spam

Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

@inproceedings{Almeida2011SpamFiltering, title={Contributions to the Study of SMS Spam Filtering: New Collection and Results}, author={Tiago A. Almeida and Jose Maria Gomez Hidalgo and Akebo Yamakami}, year={2011}, booktitle = "Proceedings of the 2011 ACM Symposium on Document Engineering (DOCENG'11)", }

Contributions

Thanks to @czabo for adding this dataset.

Models trained or fine-tuned on sms_spam