Datasets:
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---
language:
- en
license: cc-by-sa-4.0
size_categories:
- 1K<n<10K
task_categories:
- text-classification
- zero-shot-classification
pretty_name: DocMSU
tags:
- sarcasm detection
- sarcasm-detection
- multi-modal sarcasm detection
dataset_info:
config_name: sarcasm-detection
features:
- name: image
dtype: image
- name: text
dtype: string
- name: label
dtype: int64
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
dataset_size: 1498458096.267
configs:
- config_name: sarcasm-detection
data_files:
- split: train
path: sarcasm-detection/train-*
- split: validation
path: sarcasm-detection/validation-*
- split: test
path: sarcasm-detection/test-*
---
# DocMSU: A Comprehensive Benchmark for Document-level Multimodal Sarcasm Understanding
This is a replication of the [DocMSU](https://github.com/fesvhtr/DocMSU/tree/main) dataset for easier access.
# Reference
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). |