Mukaffi28/Uddessho-Bangla-Multimodal-Intent-Classification
📊 Uddessho Dataset — Multimodal Author Intent Classification Uddessho (meaning "Intent" in English) is a multimodal dataset created for author intent classification in the low-resource Bangla language.It contains 3,048 social media posts (text + images) labeled into six distinct intent types. 🏷️ Intent Categories & Label Mapping Label ID Class Name 0 Advocative 1 Controversial 2 Exhibitionist 3 Expressive 4 Informative 5 Promotive… See the full description on the dataset page: https://huggingface.co/datasets/Mukaffi28/Uddessho-Bangla-Multimodal-Intent-Classification.
📊 Uddessho Dataset — Multimodal Author Intent Classification
Uddessho (meaning "Intent" in English) is a multimodal dataset created for author intent classification in the low-resource Bangla language. It contains 3,048 social media posts (text + images) labeled into six distinct intent types.
🏷️ Intent Categories & Label Mapping
📂 Dataset Overview
📊 Distribution of Dataset Splits Across Intent Categories
📜 License
This dataset is released under the CC BY-SA 4.0 license. You are free to share and adapt the dataset for any purpose, including commercial use, as long as you provide appropriate credit and distribute any derivative works under the same license.
💻 Usage
from datasets import load_dataset
dataset = load_dataset("Mukaffi28/Uddessho-Bangla-Multimodal-Intent-Classification")
print(dataset["train"][0])✏️ Citation
If you use the Uddessho Dataset in your research or project, please cite it as:
@InProceedings{10.1007/978-981-96-1758-6_32,
author = {Faria, Fatema Tuj Johora and Moin, Mukaffi Bin and Rahman, Md. Mahfuzur and Shanto, Md. Morshed Alam and Fahim, Asif Iftekher and Hoque, Md. Moinul},
editor = {Ullah, Abrar and Anwar, Sajid},
title = {Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Language},
booktitle = {Proceedings of International Conference on Information Technology and Applications},
year = {2025},
publisher = {Springer Nature Singapore},
address = {Singapore},
pages = {383--393},
isbn = {978-981-96-1758-6}
}