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Update reddit_tifu.py on GitHub
How to load this dataset directly with the
🤗/datasets library:
from datasets import load_dataset dataset = load_dataset("reddit_tifu")
None yet. Start fine-tuning now =)
Update README.md on GitHub
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}
}