metadata

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.
extra_gated_fields:
  First Name: text
  Last Name: text
  Date of birth: date_picker
  Country: country
  Institution:
    type: text
    placeholder: e.g., Stanford University
    description: >-
      Please enter the full name of your institution (e.g., including
      'University' or 'Institute').
  Job title:
    type: select
    options:
      - Student
      - Research Graduate
      - AI researcher
      - AI developer/engineer
      - Reporter
      - Other
  geo: ip_location
  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.

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

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])