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 Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://tldr.tech/newsletter
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' headlinecontent (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.