Kompus 2017 Sarba | QUICK • 2025 |

It contains over 1.3 million sarcastic/non-sarcastic comment pairs.

A sarcastic sentence might use positive words (e.g., "Great job!") to convey a negative meaning.

Identifying sarcasm is one of the hardest tasks in AI because it requires understanding: Sarcasm often depends on what was said previously. Kompus 2017 Sarba

The "Sarba" part of your query appears to be a slight misspelling or phonetic variation of "Sarcasm" or "Sarc," the primary subject of that corpus. Overview of SARC (2017)

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 contains over 1

The is a massive collection of Reddit comments designed for training and evaluating sarcasm detection systems. Release Date: April 2017.

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 "Sarba" part of your query appears to

The way sarcasm is expressed varies across different social groups and platforms.