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Dataset Card for "sentiment140"

Dataset Summary

Sentiment140 consists of Twitter messages with emoticons, which are used as noisy labels for sentiment classification. For more detailed information please refer to the paper.

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

sentiment140

  • Size of downloaded dataset files: 77.59 MB
  • Size of the generated dataset: 215.36 MB
  • Total amount of disk used: 292.95 MB

An example of 'train' looks as follows.

{
    "date": "23-04-2010",
    "query": "NO_QUERY",
    "sentiment": 3,
    "text": "train message",
    "user": "train user"
}

Data Fields

The data fields are the same among all splits.

sentiment140

  • text: a string feature.
  • date: a string feature.
  • user: a string feature.
  • sentiment: a int32 feature.
  • query: a string feature.

Data Splits

name train test
sentiment140 1600000 498

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

@article{go2009twitter,
  title={Twitter sentiment classification using distant supervision},
  author={Go, Alec and Bhayani, Richa and Huang, Lei},
  journal={CS224N project report, Stanford},
  volume={1},
  number={12},
  pages={2009},
  year={2009}
}

Contributions

Thanks to @patrickvonplaten, @thomwolf for adding this dataset.

Models trained or fine-tuned on sentiment140

None yet