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superseded= {},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
Related Torrents

Send Feedback Start
   0.000010
DB Connect
   0.000552
Lookup hash in DB
   0.000585
Get torrent details
   0.000154
Get torrent details, finished
   0.000268
Get authors
   0.000019
Parse bibtex
   0.000139
Write header
   0.000319
get stars
   0.000125
home tab
   0.000160
render right panel
   0.000013
render ads
   0.000712
fetch current hosters
   0.000280
related datasets
   0.009141
Done