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Table · dataset · 2022

Utilising Weak Supervision to create S3D: A Sarcasm Annotated Dataset

Listed in Hugging Face Datasets

Utilising Weak Supervision to Create S3D: A Sarcasm Annotated Dataset This is the repository for the S3D dataset published at EMNLP 2022.

Description

The dataset can help build sarcasm detection models. SAD The SAD dataset is our gold standard dataset of tweets labelled for sarcasm.

These tweets were scraped by observing a '#sarcasm' hashtag and then manually annotated by three annotators. There are a total of 1170 pairs of a sarcastic and non-sarcastic tweets which were both posted… See the full description on the dataset page: huggingface.co/datasets/surrey-nlp/SAD.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
tabular · text classification

Related

Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetssurrey-nlp/SAD14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0