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surrey-nlp
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S3D-v2

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Text Classification

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Dataset card Data Studio Files Files and versions

Jordan Painter commited on Dec 17, 2022

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@@ -26,11 +26,12 @@ This is the repository for the S3D dataset published at EMNLP 2022. The dataset
 # S3D-v2 Summary
 The S3D-v2 dataset is our silver standard dataset of 100,000 tweets labelled for sarcasm using weak supervision by a majority voting system of fine-tuned sarcasm detection models. The models used are
 our [roberta-large-finetuned-SARC-combined-DS](https://huggingface.co/surrey-nlp/roberta-large-finetuned-SARC-combined-DS), [bertweet-base-finetuned-SARC-DS](https://huggingface.co/surrey-nlp/bertweet-base-finetuned-SARC-DS)
-and [bertweet-base-finetuned-SARC-combined-DS](https://huggingface.co/surrey-nlp/bertweet-base-finetuned-SARC-combined-DS).
 S3D contains 13016 tweets labelled as sarcastic, and 86904 tweets labelled as not being sarcastic.
-# Data Fields
 - Label: A label to denote if a given tweet is sarcastic
 # Data Splits

 # S3D-v2 Summary
 The S3D-v2 dataset is our silver standard dataset of 100,000 tweets labelled for sarcasm using weak supervision by a majority voting system of fine-tuned sarcasm detection models. The models used are
 our [roberta-large-finetuned-SARC-combined-DS](https://huggingface.co/surrey-nlp/roberta-large-finetuned-SARC-combined-DS), [bertweet-base-finetuned-SARC-DS](https://huggingface.co/surrey-nlp/bertweet-base-finetuned-SARC-DS)
+and [bertweet-base-finetuned-SARC-combined-DS](https://huggingface.co/surrey-nlp/bertweet-base-finetuned-SARC-combined-DS) models.
 S3D contains 13016 tweets labelled as sarcastic, and 86904 tweets labelled as not being sarcastic.
+# Data Fields
+- Text: The preprocessed tweet
 - Label: A label to denote if a given tweet is sarcastic
 # Data Splits