Identifying sarcasm is one of the hardest tasks in AI because it requires understanding: Sarcasm often depends on what was said previously.
You can find more detailed research on this corpus and its applications in the sarcasm identification systematic review on ResearchGate . [1704.05579] A Large Self-Annotated Corpus for Sarcasm
It is widely used to develop Transformer-based models and other machine learning techniques to help computers understand nuanced human communication like irony and humor. Why Sarcasm Detection Matters
It relies on "self-annotation," where users explicitly mark their own sarcastic comments with a /s tag, ensuring the labels are highly accurate compared to manual annotation by third parties.
The is a massive collection of Reddit comments designed for training and evaluating sarcasm detection systems. Release Date: April 2017.
A sarcastic sentence might use positive words (e.g., "Great job!") to convey a negative meaning.
It contains over 1.3 million sarcastic/non-sarcastic comment pairs.