Datasets:
Tasks:
Text Classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Annotations Creators:
Jordan Painter, Diptesh Kanojia
Source Datasets:
original
Tags:
License:
Commit
•
b7293a0
1
Parent(s):
7695b6b
Update README.md
Browse files
README.md
CHANGED
|
@@ -26,11 +26,12 @@ This is the repository for the S3D dataset published at EMNLP 2022. The dataset
|
|
| 26 |
# S3D-v2 Summary
|
| 27 |
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
|
| 28 |
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)
|
| 29 |
-
and [bertweet-base-finetuned-SARC-combined-DS](https://huggingface.co/surrey-nlp/bertweet-base-finetuned-SARC-combined-DS).
|
| 30 |
|
| 31 |
S3D contains 13016 tweets labelled as sarcastic, and 86904 tweets labelled as not being sarcastic.
|
| 32 |
-
# Data Fields
|
| 33 |
|
|
|
|
|
|
|
| 34 |
- Label: A label to denote if a given tweet is sarcastic
|
| 35 |
|
| 36 |
# Data Splits
|
|
|
|
| 26 |
# S3D-v2 Summary
|
| 27 |
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
|
| 28 |
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)
|
| 29 |
+
and [bertweet-base-finetuned-SARC-combined-DS](https://huggingface.co/surrey-nlp/bertweet-base-finetuned-SARC-combined-DS) models.
|
| 30 |
|
| 31 |
S3D contains 13016 tweets labelled as sarcastic, and 86904 tweets labelled as not being sarcastic.
|
|
|
|
| 32 |
|
| 33 |
+
# Data Fields
|
| 34 |
+
- Text: The preprocessed tweet
|
| 35 |
- Label: A label to denote if a given tweet is sarcastic
|
| 36 |
|
| 37 |
# Data Splits
|