| --- |
| license: mit |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| - split: test |
| path: data/test-* |
| dataset_info: |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: text |
| dtype: string |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': sarcastic |
| - name: explanation |
| dtype: string |
| - name: is_ocr |
| dtype: bool |
| splits: |
| - name: train |
| num_bytes: 333867120 |
| num_examples: 2983 |
| - name: validation |
| num_bytes: 19589769 |
| num_examples: 175 |
| - name: test |
| num_bytes: 38841746 |
| num_examples: 352 |
| download_size: 390979603 |
| dataset_size: 392298635 |
| language: |
| - en |
| tags: |
| - Sarcasm |
| - Multimodal |
| - Multimodal-sarcasm |
| - sarcasm-explanation |
| --- |
| |
| # MuSe: Multimodal Sarcasm Explanation (Reformatted) |
|
|
| This repository provides a Hugging Face-compatible version of the **MuSe (MORE)** dataset. |
|
|
| ## Dataset Description |
| - **Original Authors:** LCS2-IIITD (Shweta Desai, et al.) |
| - **Original Source:** [GitHub Repository](https://github.com/LCS2-IIITD/Multimodal-Sarcasm-Explanation-MuSE) |
| - **Paper:** [Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation (AAAI 2022)](https://ojs.aaai.org/index.php/AAAI/article/view/21311) |
|
|
| ## Modifications in this version |
| To make the dataset easier to use with the `datasets` library, the following changes were made: |
| 1. **Unified Schema:** Merged separate OCR and Non-OCR files into a single `test` split. |
| 2. **Metadata Flags:** Added an `is_ocr` (boolean) column to distinguish between image types. |
| 3. **Image Integration:** Converted image paths into a native Hugging Face `Image` feature for direct loading. |
| 4. **Labeling:** Explicitly labeled all samples as "sarcastic" to match standard classification formats. |
|
|
| ## Citation |
| If you use this dataset in your research, please cite the original work: |
|
|
|
|
| @inproceedings{desai2022nice, |
| title={Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation}, |
| author={Desai, Shweta and Pawar, Tanmay and Shah, Parth and Mittal, Akshat and Das, Amitava and Shah, Rajiv Ratn and others}, |
| booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, |
| year={2022} |
| } |
|
|
|
|
| ## License |
| This dataset is distributed under the **MIT License**, as per the original source repository. |
