Add tldr dataset #831
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Add tldr dataset #831
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Signed-off-by: Yotam Perlitz <yotam.perlitz@ibm.com>
Signed-off-by: Yotam Perlitz <yotam.perlitz@ibm.com>
elronbandel
approved these changes
May 15, 2024
elronbandel
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May 16, 2024
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The corpus contains preprocessed posts from the Reddit dataset (Webis-TLDR-17). The dataset consists of 3,848,330 posts with an average length of 270 words for content, and 28 words for the summary.
https://huggingface.co/datasets/webis/tldr-17
https://aclanthology.org/W17-4508/
In the scope of the task of absractive summarization the creators of the Webis-TLDR-17 propose mining social media for author-provided summaries and taking advantage of the common practice of appending a "TL;DR" to long posts. A large Reddit crawl was used to yield the Webis-TLDR-17 corpus. This dataset intends to complement the existing summarization corpora primarily from the news genre.