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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. S3D

Summary

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The S3D dataset is our silver standard dataset of 100,000 tweets labelled for sarcasm using weak supervision by our BERTweet-sarcasm-combined model. These tweets can be accessed by using the Twitter API so that they can be used for other experiments. S3D contains 38879… See the full description on the dataset page: huggingface.co/datasets/surrey-nlp/S3D-v1.

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/S3D-v113 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