README.md

---
language:
- en
- zh
license: cc-by-nc-4.0
extra_gated_prompt: >-
  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}
    }

  3. The final interpretation of this corpus belongs to S2LAB Lab, Inner Mongolia University, China.
  
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  By clicking submit below, I accept the terms of the license and acknowledge that the information I provide will be collected, stored and processed by S2LAB: checkbox
extra_gated_description: >-
  The information you provide will be collected, stored and processed by S2LAB.
extra_gated_button_content: Submit
extra_gated_eu_disallowed: true
task_categories:
- text-to-speech
tags:
- Multimodal and Multilingual
- Dialog
- Conversational Emotion and Intent Recognition
pretty_name: MC-EIU
size_categories:
- 100M<n<1B
---

# 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](https://arxiv.org/abs/2407.02751).

[Rui Liu *](https://ttslr.github.io/), 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               |



### 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. (📧: zuohaolin[email protected])