Webis Clickbait Spoiling Corpus 2022
- zenodo.org
- data.niaid.nih.gov
zipUpdated Jul 11, 2023
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EmailClick to copy linkLink copiedCiteMatthias Hagen; Matthias Hagen; Maik Fröbe; Maik Fröbe; Artur Jurk; Martin Potthast; Martin Potthast; Artur Jurk (2023). Webis Clickbait Spoiling Corpus 2022 [Dataset]. http://doi.org/10.5281/zenodo.6362726zipAvailable download formatsUnique identifierhttps://doi.org/10.5281/zenodo.6362726Dataset updatedJul 11, 2023AuthorsMatthias Hagen; Matthias Hagen; Maik Fröbe; Maik Fröbe; Artur Jurk; Martin Potthast; Martin Potthast; Artur JurkLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescription# Webis Clickbait Spoiling Corpus 2022
The Webis Clickbait Spoiling Corpus 2022 (Webis-Clickbait-22) contains 5,000 spoiled clickbait posts crawled from Facebook, Reddit, and Twitter.
This corpus supports the task of clickbait spoiling, which deals with generating a short text that satisfies the curiosity induced by a clickbait post.This dataset contains the clickbait posts and manually cleaned versions of the linked documents, and extracted spoilers for each clickbait post.
Additionally, the spoilers are categorized into three types: short phrase spoilers, longer passage spoilers, and multiple non-consecutive pieces of text.We want to organize a shared task on clickbait spoiling. Hence, we omit the 1,000 test post from this version of the dataset and will publish the test posts later.
# Overview
The dataset comes with predefined train/validation/test splits:
- training.jsonl contains 3,200 posts for training
- validation.jsonl contains 800 posts for validation
- test.jsonl contains 1,000 posts for testing
- The test set is ommitted from this version of the dataset since we want to organize a shared task on clickbait spoiling and for this we want to keep the test set private until the end of the shared task.
- clickbait-spoiling-21.jsonl contains the complete corpus with 5,000 clickbait posts
- The clickbait-spoiling-21.jsonl file is ommitted from this version of the dataset since we want to organize a shared task on clickbait spoiling and for this we want to keep the test set private until the end of the shared task.
- W
Webis-Clickbait-22
- webis.de
- anthology.aicmu.ac.cn
Updated 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMatthias Hagen; Maik Fröbe; Artur Jurk; Martin Potthast (2022). Webis-Clickbait-22 [Dataset]. https://webis.de/data/webis-clickbait-22.htmlDataset updated2022Dataset provided byFriedrich Schiller University Jena
The Web Technology & Information Systems Network
University of Kassel, hessian.AI, and ScaDS.AIAuthorsMatthias Hagen; Maik Fröbe; Artur Jurk; Martin PotthastLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe Webis Clickbait Spoiling Corpus 2022 (Webis-Clickbait-22) contains 5,000 spoiled clickbait posts crawled from Facebook, Reddit, and Twitter. This corpus supports the task of clickbait spoiling, which deals with generating a short text that satisfies the curiosity induced by a clickbait post.
- h
clickbait-spoiling-data-question
- huggingface.co
Updated Sep 18, 2013ShareFacebookTwitterEmailClick to copy linkLink copiedCitePramit Sahoo (2013). clickbait-spoiling-data-question [Dataset]. https://huggingface.co/datasets/pramitsahoo/clickbait-spoiling-data-questionCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedSep 18, 2013AuthorsPramit SahooDescriptionWebis Clickbait Spoiling Corpus
The Webis Clickbait Spoiling Corpus 2022 (Webis-Clickbait-22) contains 5,000 spoiled clickbait posts crawled from Facebook, Reddit, and Twitter. This corpus supports the task of clickbait spoiling, which deals with generating a short text that satisfies the curiosity induced by a clickbait post. This dataset contains the clickbait posts and manually cleaned versions of the linked documents, and extracted spoilers for each clickbait post. Additionally… See the full description on the dataset page: https://huggingface.co/datasets/pramitsahoo/clickbait-spoiling-data-question.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
# Webis Clickbait Spoiling Corpus 2022
The Webis Clickbait Spoiling Corpus 2022 (Webis-Clickbait-22) contains 5,000 spoiled clickbait posts crawled from Facebook, Reddit, and Twitter.
This corpus supports the task of clickbait spoiling, which deals with generating a short text that satisfies the curiosity induced by a clickbait post.
This dataset contains the clickbait posts and manually cleaned versions of the linked documents, and extracted spoilers for each clickbait post.
Additionally, the spoilers are categorized into three types: short phrase spoilers, longer passage spoilers, and multiple non-consecutive pieces of text.
We want to organize a shared task on clickbait spoiling. Hence, we omit the 1,000 test post from this version of the dataset and will publish the test posts later.
# Overview
The dataset comes with predefined train/validation/test splits:
- training.jsonl contains 3,200 posts for training
- validation.jsonl contains 800 posts for validation
- test.jsonl contains 1,000 posts for testing
- The test set is ommitted from this version of the dataset since we want to organize a shared task on clickbait spoiling and for this we want to keep the test set private until the end of the shared task.
- clickbait-spoiling-21.jsonl contains the complete corpus with 5,000 clickbait posts
- The clickbait-spoiling-21.jsonl file is ommitted from this version of the dataset since we want to organize a shared task on clickbait spoiling and for this we want to keep the test set private until the end of the shared task.