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superseded= {},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
No stats to report yet.
Related Torrents

Send Feedback Start
   0.000006
DB Connect
   0.000439
Lookup hash in DB
   0.000383
Get torrent details
   0.000121
Get torrent details, finished
   0.000207
Get authors
   0.000016
Parse bibtex
   0.000115
Write header
   0.000207
get stars
   0.000099
home tab
   0.000141
render right panel
   0.000005
render ads
   0.000360
fetch current hosters
   0.000212
Start get stats
   0.000323
End get stats
   0.000001
related datasets
   0.007362
Done