|
--- |
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language: |
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- en |
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license: cc-by-sa-4.0 |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- text-classification |
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- zero-shot-classification |
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pretty_name: DocMSU |
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tags: |
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- sarcasm detection |
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- sarcasm-detection |
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- multi-modal sarcasm detection |
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dataset_info: |
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config_name: sarcasm-detection |
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features: |
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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: int64 |
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splits: |
|
- name: train |
|
num_bytes: 1009277842.339 |
|
num_examples: 50279 |
|
- name: validation |
|
num_bytes: 321454774.496 |
|
num_examples: 14222 |
|
- name: test |
|
num_bytes: 167725479.432 |
|
num_examples: 7327 |
|
download_size: 1476011526 |
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dataset_size: 1498458096.267 |
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configs: |
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- config_name: sarcasm-detection |
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data_files: |
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- split: train |
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path: sarcasm-detection/train-* |
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- split: validation |
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path: sarcasm-detection/validation-* |
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- split: test |
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path: sarcasm-detection/test-* |
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--- |
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# DocMSU: A Comprehensive Benchmark for Document-level Multimodal Sarcasm Understanding |
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|
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This is a replication of the [DocMSU](https://github.com/fesvhtr/DocMSU/tree/main) dataset for easier access. |
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# Reference |
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|
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Du, H., Nan, G., Zhang, S., Xie, B., Xu, J., Fan, H., Cui, Q., Tao, X. and Jiang, X., 2024, March. DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 38, No. 16, pp. 17933-17941). |
