Sarcasm on Reddit: A Large Self-Annotated Corpus for Sarcasm Detection

A corpus of text data from Reddit annotated for sarcasm. The dataset is derived from the work of Mikhail Khodak, Nikunj Saunshi, and Kiran Vodrahalli, as described in their 2017 paper 'A Large Self-Annotated Corpus for Sarcasm'. It was uploaded to the platform by marcbishara.

Use Cases

• Train sarcasm detection models based on annotated Reddit comments.
• Benchmark NLP models for sentiment and figurative language understanding based on labeled text.
• Study linguistic patterns and markers of sarcasm in online social media text.

Strengths

• Dataset is based on a published academic paper from 2017, providing a research foundation.
• The corpus is described as 'large' in the source paper title, suggesting a substantial scale.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and specific data size are unknown, which may limit suitability assessment.
• Last updated 2025-11-30 23:26:30; freshness should be verified.

Provenance

Source

Reddit, via the SARC corpus described by Khodak, Saunshi, and Vodrahalli (2017).

Collection Method

Self-annotated, as per the source paper title.

Freshness

Last updated 2025-11-30 23:26:30