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julianuribe03/IMDb_movie_reviews

Dataset Card for IMDb Movie Reviews Dataset Summary This is a custom train/test/validation split of the IMDb Large Movie Review Dataset available from http://ai.stanford.edu/~amaas/data/sentiment/. Supported Tasks and Leaderboards [More Information Needed] Languages [More Information Needed] Dataset Structure IMDb_movie_reviews An example of 'train': { "text": "Beautifully photographed and ably acted… See the full description on the dataset page: https://huggingface.co/datasets/julianuribe03/IMDb_movie_reviews.

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Dataset Card

Dataset Card for IMDb Movie Reviews

Dataset Description

Dataset Summary

This is a custom train/test/validation split of the IMDb Large Movie Review Dataset available from http://ai.stanford.edu/~amaas/data/sentiment/.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

IMDbmoviereviews

An example of 'train':

{
    "text": "Beautifully photographed and ably acted, generally, but the writing is very slipshod. There are scenes of such unbelievability that there is no joy in the watching. The fact that the young lover has a twin brother, for instance, is so contrived that I groaned out loud. And the "emotion-light bulb connection" seems gimmicky, too.<br /><br />I don\'t know, though. If you have a few glasses of wine and feel like relaxing with something pretty to look at with a few flaccid comedic scenes, this is a pretty good movie. No major effort on the part of the viewer required. But Italian film, especially Italian comedy, is usually much, much better than this."
    "label": 0,
}

Data Fields

The data fields are the same among all splits.

IMDbmoviereviews
  • —text: a string feature.
  • —label: a classification label, with values neg (0), pos (1).

Data Splits

nametrainvalidationtest
IMDbmoviereviews36000400010000

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

@InProceedings{maas-EtAl:2011:ACL-HLT2011,
  author    = {Maas, Andrew L.  and  Daly, Raymond E.  and  Pham, Peter T.  and  Huang, Dan  and  Ng, Andrew Y.  and  Potts, Christopher},
  title     = {Learning Word Vectors for Sentiment Analysis},
  booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},
  month     = {June},
  year      = {2011},
  address   = {Portland, Oregon, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {142--150},
  url       = {http://www.aclweb.org/anthology/P11-1015}
}

Contributions

[More Information Needed]