Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
English
Size:
10K<n<100K
Tags:
License:
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dataset_infos.json
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{
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"default": {
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"description": "Movie Review Dataset.\nThis is a dataset of containing 5,331 positive and 5,331 negative processed\nsentences from Rotten Tomatoes movie reviews. This data was first used in Bo\nPang and Lillian Lee, ``Seeing stars: Exploiting class relationships for\nsentiment categorization with respect to rating scales.'', Proceedings of the\nACL, 2005.\n",
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"citation": "@InProceedings{Pang+Lee:05a,\n author = {Bo Pang and Lillian Lee},\n title = {Seeing stars: Exploiting class relationships for sentiment\n categorization with respect to rating scales},\n booktitle = {Proceedings of the ACL},\n year = 2005\n}\n",
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"homepage": "http://www.cs.cornell.edu/people/pabo/movie-review-data/",
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"license": "",
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"features": {
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"text": {
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"dtype": "string",
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"_type": "Value"
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},
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"label": {
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"names": [
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"neg",
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"pos"
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],
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"_type": "ClassLabel"
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}
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},
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"supervised_keys": {},
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"task_templates": [
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{
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"task": "text-classification",
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"label_column": "label"
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}
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],
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"builder_name": "parquet",
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"dataset_name": "rotten_tomatoes",
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"config_name": "default",
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"version": {
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"version_str": "1.0.0",
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"major": 1,
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"minor": 0,
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"patch": 0
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},
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 1074806,
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"num_examples": 8530,
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"dataset_name": null
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},
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"validation": {
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"name": "validation",
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"num_bytes": 134675,
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"num_examples": 1066,
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"dataset_name": null
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},
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"test": {
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"name": "test",
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"num_bytes": 135968,
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"num_examples": 1066,
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"dataset_name": null
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}
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},
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"download_size": 881052,
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"dataset_size": 1345449,
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"size_in_bytes": 2226501
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}
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}
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