ag_news_csv.tgz 11.78MB
Type: Dataset
Tags: fastai

Metadata:
@article{,
title= {AG News},
keywords= {fastai},
journal= {},
author= {Xiang Zhang et al., 2015},
year= {},
url= {https://arxiv.org/abs/1509.01626},
license= {},
abstract= {496,835 categorized news articles from >2000 news sources from the 4 largest classes from AG’s corpus of news articles, using only the title and description fields. The number of training samples for each class is 30,000 and testing 1900.},
superseded= {},
terms= {}
}

Citation:
Xiang Zhang et al., 2.. (2018). AG News [Data set]. Academic Torrents. https://academictorrents.com/details/758bf646e3ffd39d20f9a3d9efbdb0e1eade5022
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