Eftekhar/BHM-Bengali-Hateful-Memes

Dataset Description

BHM is a novel multimodal dataset for Bengali Hateful Memes detection. The dataset consists of 7,148 memes with Bengali as well as code-mixed captions, tailored for two tasks: (i) detecting hateful memes and (ii) detecting the social entities they target (i.e., Individual, Organization, Community, and Society).

Paper Information

• —Paper: https://aclanthology.org/2024.acl-long.454/
• —Code: https://github.com/eftekhar-hossain/Bengali-Hateful-Memes/tree/main

Data Downloading

The data examples were divided into three subsets for each task: train, valid, and test.

You can download this dataset by the following command (make sure that you have installed Huggingface Datasets):

from datasets import load_dataset

task1 = load_dataset("Eftekhar/BHM-Bengali-Hateful-Memes", "task1")  # Binary Classification
task2 = load_dataset("Eftekhar/BHM-Bengali-Hateful-Memes", "task2")  # Multiclass Classification

Data Format

The dataset is provided in CSV format and contains the following attributes:

{
    "image_name": [string] The name of the image,
    "Captions": [string] Embedded text on the corresponding images
    "Labels": [string] Class labels.   
}

Citation

If you use the BHM dataset in your work, please kindly cite the paper using this BibTeX:

@article{hossain2024deciphering,
  title={Deciphering Hate: Identifying Hateful Memes and Their Targets},
  author={Hossain, Eftekhar and Sharif, Omar and Hoque, Mohammed Moshiul and Preum, Sarah M},
  journal={arXiv preprint arXiv:2403.10829},
  year={2024}
}