datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
conversational-sarcasm-benchmark
Conversational Sarcasm Benchmark — Audio-Grounded, Metadata-Only
A benchmark of 1,168 conversational sarcasm units drawn from 64 English-language
YouTube videos (predominantly stand-up comedy and comedic conversation). Every unit
pairs a short target utterance with the preceding context that makes its
figurative reading available, and carries a categorical label plus a free-text rationale.
This repository contains no audio. It ships annotations, transcriptions, and the
source… See the full description on the dataset page: https://huggingface.co/datasets/darksyntax0/conversational-sarcasm-benchmark.Telugu-SarcasmDo cite the below references for using the dataset:
@article{marreddy2022resource, title={Am I a Resource-Poor Language? Data Sets, Embeddings, Models and Analysis for four different NLP tasks in Telugu Language},
author={Marreddy, Mounika and Oota, Subba Reddy and Vakada, Lakshmi Sireesha and Chinni, Venkata Charan and Mamidi, Radhika},
journal={Transactions on Asian and Low-Resource Language Information Processing}, publisher={ACM New York, NY} }
@article{marreddy2022multi… See the full description on the dataset page: https://huggingface.co/datasets/mounikaiiith/Telugu-Sarcasm.sarcasm
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/daniel2588/sarcasm.Multi-Sarcasm
Multi-Sarcasm Dataset
Multi-Sarcasm is a curated conversational dataset containing 23,715 parent–reply pairs, combining Reddit and chatbot dialogues. Each instance includes a comment (comment), its parent comment (parent_comment), a binary label (label) for sarcasm, and a graded sarcasm level (sarcasm_level).
The dataset was re-annotated using a hybrid LLM-assisted pre-annotation followed by systematic human validation, ensuring consistency, diversity, and reliability.… See the full description on the dataset page: https://huggingface.co/datasets/Dalilame/Multi-Sarcasm.sarcasm_headlines_multilingual
Dataset Card for Multilingual Sarcasm Detection
Dataset Summary
Dataset consists of news article headlines in Dutch, English and Italian. The news article headlines are both from actual news sources and sarcastic/satirical newspapers. The news article is determined sarcastic/non-sarcastic based on the news article source.
The sources of news articles are:
The Huffington Post (en, non-sarcastic)
The Onion (en, sarcastic)
NOS (nl, non-sarcastic)
De Speld (nl, sarcastic)
Il… See the full description on the dataset page: https://huggingface.co/datasets/helinivan/sarcasm_headlines_multilingual.Sarcasm-dataset
Sarcasm Dataset
This dataset contains sarcastic sentence along with their binary label
Dataset Desciption:
Number of Rows: 5,000
Number of Columns: 2
Column Names: 'Tweet', 'Slang (yes/no)'
Description: The dataset contains tweets annotated for the use of slang. It includes a binary label ('yes' or 'no') indicating the presence of slang in each tweet.
SARCASM_VS_NON_SARCASMSarcasm-dataset
Sarcasm Dataset
This dataset contains sarcastic sentence along with their binary label
Dataset Desciption:
Number of Rows: 5,000
Number of Columns: 2
Column Names: 'Tweet', 'Slang (yes/no)'
Description: The dataset contains tweets annotated for the use of slang. It includes a binary label ('yes' or 'no') indicating the presence of slang in each tweet.
authentic-filipino-sarcasm-detection
Authentic Filipino Sarcasm Detection Dataset
This dataset is composed of Filipino sarcastic and non-sarcastic tweets scraped from X (formerly Twitter), divided into two categories: politics and entertainment.
Dataset Size
The dataset is composed of 1,000 tweets, 500 for each domain of politics and entertainment.
Rows
Each row is an instance of a tweet, constrained with X's limitation of 280 characters.
Columns
text:
the tweet content
label:… See the full description on the dataset page: https://huggingface.co/datasets/patrickjamesmarcellana/authentic-filipino-sarcasm-detection.mini-sarcasm-datasynthetic-filipino-sarcasm-detection
Synthetic and Limited Real-World Filipino Sarcasm Detection Dataset
This dataset is composed of Filipino sarcastic and non-sarcastic tweets, divided into two categories: LLM-generated (synthetic) data and real-world data.
Synthetic Data Information
Two large language models were used to generate sarcastic and non-sarcastic tweets for the dataset: GPT-4o and Gemini 2.0 Flash. The dataset is composed of 504 sarcastic tweets (252 for each LLM) and 504 non-sarcastic tweets… See the full description on the dataset page: https://huggingface.co/datasets/patrickjamesmarcellana/synthetic-filipino-sarcasm-detection.sarcasm-detection-datasetsarcasm-englishsarcasm-syntheticsarcasmdatasarcasm-explain-5k
SarcasmExplain-5K
Dataset Description
SarcasmExplain-5K is a balanced dataset of 5,000 Reddit sarcasm
instances annotated with five complementary natural language explanation
types, generated via GPT-4 and validated through human evaluation.
Created by: Maliha Binte Mamun
Year: 2025
License: CC BY 4.0
GitHub: https://github.com/maliha-usui/sarcasm-explain-5k
🔒 Access
Complete 3 annotation forms to download:
👉… See the full description on the dataset page: https://huggingface.co/datasets/maliha/sarcasm-explain-5k.Sarcasm_Dataset
NLP DATASET-Sarcasm
Source code : https://www.kaggle.com/datasets/toygarr/datasets-for-natural-language-processing