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Dataset: reddit_tifu 🏷
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from datasets import load_dataset dataset = load_dataset("reddit_tifu")

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Dataset Card for "reddit_tifu"

Table of Contents

Dataset Description

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

More Information Needed

Languages

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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 Sample Size

name train
long 42139
short 79740

Dataset Creation

Curation Rationale

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Source Data

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Annotations

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

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Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

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Licensing Information

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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}
}