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Sarcasm Detection datasets
archive 2025-07-28
14 datasets carry the task tag "Sarcasm Detection" (the task itself: Sarcasm Detection), ordered by the archive's paper count. Page 1 of 1: 14 shown of 14. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Sarcasm Detection datasets 1–14 of 14
The Reddit dataset is a graph dataset from Reddit posts made in the month of September, 2014.
699 papers · 8 benchmarks
BIG-bench (Beyond the Imitation Game Benchmark)
The Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark intended to probe large language models and extrapolate their future capabilities.
349 papers · 121 benchmarks
This dataset was designed for contextual investigations, with related works making considerable usage of said context.
35 papers · 3 benchmarks
iSarcasmEval is the first shared task to target intended sarcasm detection: the data for this task was provided and labelled by the authors of the texts themselves.
22 papers · 0 benchmarks
iSarcasm is a dataset of tweets, each labelled as either sarcastic or nonsarcastic.
17 papers · 1 benchmark
ArSarcasm-v2 is an extension of the original ArSarcasm dataset published along with the paper From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset.
15 papers · 0 benchmarks
ArSarcasm is a new Arabic sarcasm detection dataset.
14 papers · 0 benchmarks
MUStARD++ is a multimodal sarcasm detection dataset (MUStARD) pre-annotated with 9 emotions.
10 papers · 1 benchmark
The Headlines dataset for sarcasm detection is collected from two news website.
5 papers · 0 benchmarks
The Sarcasm Corpus contains sarcastic and non-sarcastic utterances of three different types, which are balanced with half of the samples being sarcastic and half non-sarcastic.
5 papers · 0 benchmarks
A first-of-its-kind large dataset of sarcastic/non-sarcastic tweets with high-quality labels and extra features: (1) sarcasm perspective labels (2) new contextual features.
3 papers · 0 benchmarks
MMSD2.0 (Towards a Reliable Multi-modal Sarcasm Detection System)
Multi-modal sarcasm detection has attracted much recent attention.
2 papers · 0 benchmarks
MUStARD (Multimodal Sarcasm Detection Dataset)
We release the MUStARD dataset which is a multimodal video corpus for research in automated sarcasm discovery.
2 papers · 0 benchmarks
A dataset of games played in the card game "Cards Against Humanity" (CAH), by human players, derived from the online CAH labs.
1 paper · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.