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license: mit
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: validation
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path: data/validation-*
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- split: test
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path: data/test-*
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dataset_info:
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features:
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- name: id
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dtype: string
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- name: image
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dtype: image
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dtype: string
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- name: label
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dtype:
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class_label:
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names:
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'0': sarcastic
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- name: explanation
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dtype: string
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- name: is_ocr
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dtype: bool
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splits:
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- name: train
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num_bytes: 334139457
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num_examples: 2983
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- name: validation
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num_bytes: 19589790
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num_examples: 175
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- name: test
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num_bytes: 38841788
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num_examples: 352
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download_size: 390973702
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dataset_size: 392571035
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---
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---
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license: mit
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: validation
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path: data/validation-*
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- split: test
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path: data/test-*
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dataset_info:
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features:
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- name: id
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dtype: string
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- name: image
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dtype: image
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- name: text
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dtype: string
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- name: label
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dtype:
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class_label:
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names:
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'0': sarcastic
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- name: explanation
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dtype: string
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- name: is_ocr
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dtype: bool
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splits:
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- name: train
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num_bytes: 334139457
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num_examples: 2983
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- name: validation
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num_bytes: 19589790
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num_examples: 175
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- name: test
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num_bytes: 38841788
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num_examples: 352
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download_size: 390973702
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dataset_size: 392571035
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---
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# MuSe: Multimodal Sarcasm Explanation (Reformatted)
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This repository provides a Hugging Face-compatible version of the **MuSe (MORE)** dataset.
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## Dataset Description
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- **Original Authors:** LCS2-IIITD (Shweta Desai, et al.)
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- **Original Source:** [GitHub Repository](https://github.com/LCS2-IIITD/Multimodal-Sarcasm-Explanation-MuSE)
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- **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)
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## Modifications in this version
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To make the dataset easier to use with the `datasets` library, the following changes were made:
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1. **Unified Schema:** Merged separate OCR and Non-OCR files into a single `test` split.
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2. **Metadata Flags:** Added an `is_ocr` (boolean) column to distinguish between image types.
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3. **Image Integration:** Converted image paths into a native Hugging Face `Image` feature for direct loading.
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4. **Labeling:** Explicitly labeled all samples as "sarcastic" to match standard classification formats.
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## Citation
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If you use this dataset in your research, please cite the original work:
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@inproceedings{desai2022nice,
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title={Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation},
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author={Desai, Shweta and Pawar, Tanmay and Shah, Parth and Mittal, Akshat and Das, Amitava and Shah, Rajiv Ratn and others},
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booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
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year={2022}
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}
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## License
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This dataset is distributed under the **MIT License**, as per the original source repository.
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