tldr_news / README.md
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metadata
annotations_creators:
  - other
language_creators:
  - other
languages:
  - en
licenses:
  - mit
multilinguality:
  - monolingual
pretty_name: tldr_news
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - summarization
  - text2text-generation
  - text-generation
task_ids:
  - news-articles-headline-generation
  - text-simplification
  - language-modeling

Dataset Card for tldr_news

Table of Contents

Dataset Description

Dataset Summary

The tldr_news dataset was constructed by collecting a daily tech newsletter ( available here). Then for every piece of news, the "headline" and its corresponding " content" were collected. Such a dataset can be used to train a model to generate a headline from a input piece of text.

Supported Tasks and Leaderboards

There is no official supported tasks nor leaderboard for this dataset.

Languages

en

Dataset Structure

Data Instances

A data point comprises a "headline" and its corresponding "content". An example is as follows:

{
    "headline": "World-first 'impossible' rotating detonation engine fires up",
    "content": "A team in Florida working with the US Air Force has built an experimental model of a rotating detonation rocket engine. It uses spinning explosions inside a ring channel to create a super-efficient thrust. Most engines use combustion, which is a relatively slow and controlled process compared to detonation. Detonation releases significantly more energy than combustion with significantly less fuel, but detonation engines have proven to be incredibly difficult to build and sustain. A 20-second slow-motion video of the rocket firing is available."
}

Data Fields

  • headline (str): the piece of news' headline
  • content (str): the piece of news

Data Splits

[Needs More Information]

Dataset Creation

Curation Rationale

This dataset was obtained by scrapping the collecting all the existing newsletter available here. Every single newsletter was then processed to extract all the different pieces of news. Then for every collected piece of news the headline and the content were extracted.

Source Data

Initial Data Collection and Normalization

The dataset was has been collected from https://tldr.tech/newsletter. The headline and content have not been post-processed nor normalized.

Who are the source language producers?

The people (or person) behind the https://tldr.tech/ newsletter.

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

Disclaimers: The dataset was generated from a daily newsletter. The author had no intention for those newsletters to be used as such.

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

This dataset only contains tech news.

Additional Information

Dataset Curators

The dataset was obtained by scrapping this website: https://tldr.tech/newsletter

Contributions

Thanks to @JulesBelveze for adding this dataset.