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Subject to other terms Subject to other terms: 1. The corpus is not used for commercial purposes and is only provided free of charge to “universities and research institutes” for scientific research.
2、When publishing papers and applying for results, if you use this dataset, please indicate the reference:
@article{
liu2024emotion,
title={Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset},
author={Liu, Rui and Zuo, Haolin and Lian, Zheng and Xing, Xiaofen and Schuller, Bj{"o}rn W and Li, Haizhou},
journal={arXiv preprint arXiv:2407.02751},
year={2024}
}
- The final interpretation of this corpus belongs to S2LAB Lab, Inner Mongolia University, China.
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MC-EIU
Introduction
This is the official repository for the MC-EIU dataset. More details can be found in the paper: Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset.
Rui Liu *, Haolin Zuo, Zheng Lian, Xiaofen Xing, Björn W. Schuller, Haizhou Li
MC-EIU Overview
Statistic of our MC-EIU. UL refers to the utterance length, DU denotes the duration per utterance, UC is the utterances per conversation, EC means the emotions per conversation, and IC means the intents per conversation.
| Statistics | English | Mandarin | ||||
|---|---|---|---|---|---|---|
| Train | Valid | Test | Train | Valid | Test | |
| # Conversations | 2,807 | 400 | 806 | 667 | 95 | 195 |
| # Utterances | 31,451 | 4,509 | 9,049 | 7,643 | 1,148 | 2,212 |
| # Duration (hours) | 28.51 | 4.02 | 8.22 | 8.51 | 1.36 | 2.42 |
| Avg. UL | 12.68 | 12.49 | 12.76 | 19.11 | 19.91 | 18.14 |
| Avg. # of DU (seconds) | 3.26 | 3.21 | 3.27 | 4.01 | 4.26 | 3.94 |
| Avg. # of UC | 11.20 | 11.27 | 11.23 | 11.46 | 12.08 | 11.34 |
| Avg. # of EC | 2.58 | 2.57 | 2.60 | 2.41 | 2.54 | 2.42 |
| Avg. # of IC | 3.29 | 3.86 | 3.87 | 3.18 | 3.24 | 3.10 |
MC-EIU Download
- If you want to download it from Hugging Face, please check here.
- If you want to download it from Baidu Drive, please connect with Haolin Zuo ([email protected]) to obtain the download link. And you also need to provide necessary information such as your name, email, and institution, etc.
Citations
If you find this dataset useful in your research, please consider citing the following paper:
@article{
liu2024emotion,
title={Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset},
author={Liu, Rui and Zuo, Haolin and Lian, Zheng and Xing, Xiaofen and Schuller, Bj{\"o}rn W and Li, Haizhou},
journal={arXiv preprint arXiv:2407.02751},
year={2024}
}
⚠ The collected TV shows clips are all from public resources on the Internet. If there is any infringement, please contact us to delete them. (📧: [email protected])
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