Kwaai/IMDB_Sentiment

Dataset Card for "imdb"

Table of Contents

• —Dataset Description
• —Dataset Summary
• —Supported Tasks and Leaderboards
• —Languages
• —Dataset Structure
• —Data Instances
• —Data Fields
• —Data Splits
• —Dataset Creation
• —Curation Rationale
• —Source Data
• —Annotations
• —Personal and Sensitive Information
• —Considerations for Using the Data
• —Social Impact of Dataset
• —Discussion of Biases
• —Other Known Limitations
• —Additional Information
• —Dataset Curators
• —Licensing Information
• —Citation Information
• —Contributions

Dataset Description

• —Homepage: http://ai.stanford.edu/~amaas/data/sentiment/
• —Repository: More Information Needed
• —Paper: More Information Needed
• —Point of Contact: More Information Needed
• —Size of downloaded dataset files: 84.13 MB
• —Size of the generated dataset: 133.23 MB
• —Total amount of disk used: 217.35 MB

Dataset Summary

Large Movie Review Dataset. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well.

Dataset Structure

Data Instances

plain_text

• —Size of downloaded dataset files: 84.13 MB
• —Size of the generated dataset: 133.23 MB
• —Total amount of disk used: 217.35 MB

An example of 'train' looks as follows.

{
    "label": 0,
    "text": "Goodbye world2\n"
}

Data Fields

The data fields are the same among all splits.

plain_text

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

Data Splits