metadata
license: mit
task_categories:
- text-classification
language:
- en
Paper
You can access the paper on here: StereoDetect: Detecting Stereotypes and Anti-stereotypes the Correct Way Using Social Psychological Underpinnings
This work is accepted at the Findings of the Association for Computational Linguistics: EMNLP 2025.
Dataset Overview
The dataset is divided into three splits:
- train.csv — used for model training
- val.csv — used for validation and hyperparameter tuning
- test.csv — used for final evaluation
Label Definitions
| Label | Description |
|---|---|
| 0 | Anti-stereotype |
| 1 | Stereotype |
| 2 | Neutral without target term |
| 3 | Neutral with target term |
| 4 | Bias |
Contact
For queries related to this work, please contact:
kaustubhshejole@cse.iitb.ac.in