README.md

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paperswithcode_id: reddit-tifu

Dataset Card for "reddit_tifu"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://github.com/ctr4si/MMN
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 1279.08 MB
• Size of the generated dataset: 219.12 MB
• Total amount of disk used: 1498.20 MB

Dataset Summary

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:

• document: post text without tldr.
• tldr: tldr line.
• title: trimmed title without tldr.
• ups: upvotes.
• score: score.
• num_comments: number of comments.
• upvote_ratio: upvote ratio.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

long

• Size of downloaded dataset files: 639.54 MB
• Size of the generated dataset: 87.74 MB
• Total amount of disk used: 727.29 MB

An example of 'train' looks as follows.

short

• Size of downloaded dataset files: 639.54 MB
• Size of the generated dataset: 131.37 MB
• Total amount of disk used: 770.92 MB

An example of 'train' looks as follows.

Data Fields

The data fields are the same among all splits.

long

• 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.

short

• 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.

Data Splits

name	train
long	42139
short	79740

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information

@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}
}

Contributions

Thanks to @patrickvonplaten, @thomwolf for adding this dataset.