Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
English
Size:
1M - 10M
ArXiv:
License:
File size: 1,905 Bytes
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{
"amazon_polarity": {
"description": "The Amazon reviews dataset consists of reviews from amazon.\nThe data span a period of 18 years, including ~35 million reviews up to March 2013.\nReviews include product and user information, ratings, and a plaintext review.\n",
"citation": "@inproceedings{mcauley2013hidden,\n title={Hidden factors and hidden topics: understanding rating dimensions with review text},\n author={McAuley, Julian and Leskovec, Jure},\n booktitle={Proceedings of the 7th ACM conference on Recommender systems},\n pages={165--172},\n year={2013}\n}\n",
"homepage": "https://registry.opendata.aws/",
"license": "Apache License 2.0",
"features": {
"label": {
"names": [
"negative",
"positive"
],
"_type": "ClassLabel"
},
"title": {
"dtype": "string",
"_type": "Value"
},
"content": {
"dtype": "string",
"_type": "Value"
}
},
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"dataset_name": "amazon_polarity",
"config_name": "amazon_polarity",
"version": {
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"major": 3,
"minor": 0,
"patch": 0
},
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"dataset_name": null
},
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"num_bytes": 178176193,
"num_examples": 400000,
"dataset_name": null
}
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}
} |