reddit_data (137 files)
 2017/RC_2017-03.bz2 |
7.91GB |
| README |
0.48kB |
| 2017/RC_2017-01.bz2 |
7.81GB |
| 2017/RC_2017-02.bz2 |
7.03GB |
| 2016/RC_2016-10.bz2 |
6.93GB |
| 2016/RC_2016-11.bz2 |
6.93GB |
| 2016/RC_2016-12.bz2 |
7.18GB |
| 2016/RC_2016-08.bz2 |
7.23GB |
| 2016/RC_2016-09.bz2 |
6.72GB |
| 2016/RC_2016-05.bz2 |
6.57GB |
| 2016/RC_2016-06.bz2 |
6.65GB |
| 2016/RC_2016-07.bz2 |
7.02GB |
| 2016/RC_2016-03.bz2 |
6.47GB |
| 2016/RC_2016-04.bz2 |
6.43GB |
| 2015/RC_2015-12.bz2 |
5.90GB |
| 2016/RC_2016-01.bz2 |
6.31GB |
| 2016/RC_2016-02.bz2 |
6.14GB |
| 2015/RC_2015-10.bz2 |
5.90GB |
| 2015/RC_2015-11.bz2 |
5.69GB |
| 2015/RC_2015-07.bz2 |
6.11GB |
| 2015/RC_2015-08.bz2 |
5.81GB |
| 2015/RC_2015-09.bz2 |
5.48GB |
| 2015/RC_2015-05.bz2 |
5.66GB |
| 2015/RC_2015-06.bz2 |
5.67GB |
| 2015/RC_2015-02.bz2 |
4.99GB |
| 2015/RC_2015-03.bz2 |
5.61GB |
| 2015/RC_2015-04.bz2 |
5.65GB |
| 2014/RC_2014-12.bz2 |
4.89GB |
| 2015/RC_2015-01.bz2 |
5.45GB |
| 2014/RC_2014-10.bz2 |
4.74GB |
| 2014/RC_2014-11.bz2 |
4.61GB |
| 2014/RC_2014-08.bz2 |
4.68GB |
| 2014/RC_2014-09.bz2 |
4.48GB |
| 2014/RC_2014-05.bz2 |
4.25GB |
| 2014/RC_2014-06.bz2 |
4.17GB |
| 2014/RC_2014-07.bz2 |
4.68GB |
| 2014/RC_2014-01.bz2 |
4.16GB |
| 2014/RC_2014-02.bz2 |
3.82GB |
| 2014/RC_2014-03.bz2 |
4.20GB |
| 2014/RC_2014-04.bz2 |
4.17GB |
| 2013/RC_2013-10.bz2 |
3.42GB |
| 2013/RC_2013-11.bz2 |
3.55GB |
| 2013/RC_2013-12.bz2 |
3.78GB |
| 2013/RC_2013-08.bz2 |
3.33GB |
| 2013/RC_2013-09.bz2 |
3.07GB |
| 2013/RC_2013-05.bz2 |
3.12GB |
| 2013/RC_2013-06.bz2 |
3.09GB |
| 2013/RC_2013-07.bz2 |
3.33GB |
| 2013/RC_2013-03.bz2 |
2.90GB |
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Type: Dataset
Metadata:
Tags:
Metadata:
@article{,
title= {reddit_data},
keywords= {reddit},
journal= {},
author= {miscellaneous},
year= {},
url= {https://www.reddit.com/r/datasets/comments/3bxlg7/i_have_every_publicly_available_reddit_comment/},
license= {},
abstract= {Reddit Comments from 2005-12 to 2017-03
Downloaded from https://files.pushshift.io/comments.
You can find a current list of SHA-sums there to verify this torrent's downloads.
Intended use is for scientific / non-commercial purposes.
Example code to work with the data: https://github.com/dewarim/reddit-data-tools},
superseded= {},
terms= {}
}
Citation:
miscellaneous. (2017). reddit_data [Data set]. Academic Torrents. https://academictorrents.com/details/85a5bd50e4c365f8df70240ffd4ecc7dec59912b