How to load this dataset directly with the
π€/datasets
library:
from datasets import load_dataset dataset = load_dataset("reddit_tifu")
None yet. Start fine-tuning now =)
Reddit dataset, where TIFU denotes the name of subbreddit /r/tifu. As defined in the publication, styel "short" uses title as summary and "long" uses tldr as summary.
Features includes:
We show detailed information for up to 5 configurations of the dataset.
An example of 'train' looks as follows.
An example of 'train' looks as follows.
The data fields are the same among all splits.
ups
: a float32
feature.num_comments
: a float32
feature.upvote_ratio
: a float32
feature.score
: a float32
feature.documents
: a string
feature.tldr
: a string
feature.title
: a string
feature.ups
: a float32
feature.num_comments
: a float32
feature.upvote_ratio
: a float32
feature.score
: a float32
feature.documents
: a string
feature.tldr
: a string
feature.title
: a string
feature.name | train |
---|---|
long | 42139 |
short | 79740 |
@misc{kim2018abstractive,
title={Abstractive Summarization of Reddit Posts with Multi-level Memory Networks},
author={Byeongchang Kim and Hyunwoo Kim and Gunhee Kim},
year={2018},
eprint={1811.00783},
archivePrefix={arXiv},
primaryClass={cs.CL}
}