Dataset Open Access
Matthias Hagen; Maik Fröbe; Artur Jurk; Martin Potthast
# 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.
The dataset comes with predefined train/validation/test splits:
|All versions||This version|
|Data volume||10.2 GB||10.2 GB|