metadata
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: image_name
dtype: string
- name: misogynous
dtype: int32
- name: shaming
dtype: int32
- name: stereotype
dtype: int32
- name: objectification
dtype: int32
- name: violence
dtype: int32
- name: text
dtype: string
splits:
- name: train
num_bytes: 1373312
num_examples: 10000
- name: test
num_bytes: 111384
num_examples: 1000
- name: validation
num_bytes: 9776
num_examples: 100
download_size: 976063
dataset_size: 1494472
Dataset Card for Multimedia Automatic Misogyny Identification Task of Semeval2022
Dataset Summary
The datasets (10000 + 1000 memes about misogyny detection) are exclusively reserved for the participants of SemEval-2022 Task 5 and are not to be used freely. The data may be distributed upon request and for academic purposes only. To request the datasets, please fill out the following form: https://forms.gle/AGWMiGicBHiQx4q98 After submitting the required info, participants will have a link to a folder containing the datasets in a zip format (trial, training and development) and the password to uncompress the files.
How to Use
import datasets
datasets.load_dataset(
"shijli/semeval2022-task5",
training_dir="/path/to/training_images/",
test_dir="/path/to/test_images/",
)
File Structure
Please ensure your dataset is organised in the following structure:
training_dir
├── 1.jpg
├── 2.jpg
├── ...
├── training.csv
test_dir
├── 1.jpg
├── 2.jpg
├── ...
├── test.csv
├── test_labels.txt
Citation Information
If you use the MAMI dataset, please cite the following paper:
@inproceedings{fersini2022,
title={{SemEval-2022 Task 5}: Multimedia Automatic Misogyny Identification},
author={Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi, Aurora Saibene, Berta Chulvi, Paolo Rosso, Alyssa Lees, Jeffrey Sorensen},
booktitle={Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)},
year={2022},
publisher={Association for Computational Linguistics}
}