Aniemore/resd

---
license:
- mit
annotations_creators:
- expert-generated
language_creators:
- expert-generated
- crowdsourced
language:
- ru
multilinguality:
- monolingual
pretty_name: Russian Emotional Speech Dialogs
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- audio-classification
task_ids:
- audio-emotion-recognition
dataset_info:
features:
- name: name
dtype: string
- name: path
dtype: string
- name: emotion
dtype: string
- name: speech
dtype: audio
splits:
- name: test
num_bytes: 96603538.0
num_examples: 280
- name: train
num_bytes: 398719157.336
num_examples: 1116
download_size: 485403675
dataset_size: 495322695.336
---

# Dataset Card for resd

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)

## Dataset Description

- **Homepage: https://huggingface.co/datasets/Aniemore/resd**
- **Repository: https://github.com/aniemore/Aniemore**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

Russian dataset of emotional speech dialogues. This dataset was assembled from ~3.5 hours of live speech by actors who voiced pre-distributed emotions in the dialogue for ~3 minutes each.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

This dataset was created by Artem Amentes, Nikita Davidchuk and Ilya Lubenets

### Citation Information

```
@misc{Aniemore,
author = {Артем Аментес, Илья Лубенец, Никита Давидчук},
title = {Открытая библиотека искусственного интеллекта для анализа и выявления эмоциональных оттенков речи человека},
year = {2022},
publisher = {Hugging Face},
journal = {Hugging Face Hub},
howpublished = {\url{https://huggingface.com/aniemore/Aniemore}},
email = {[e-mail]}
}
```

### Contributions

Thanks to [@Ar4ikov](https://github.com/Ar4ikov) for adding this dataset.

原始信息汇总

数据集概述

基本信息

• 名称: Russian Emotional Speech Dialogs
• 语言: 俄语 (ru)
• 许可证: MIT
• 多语言性: 单语种
• 数据集大小: 495322695.336 字节
• 下载大小: 485403675 字节
• 创建者: Artem Amentes, Nikita Davidchuk, Ilya Lubenets

数据集结构

• 特征:
  • name: 字符串
  • path: 字符串
  • emotion: 字符串
  • speech: 音频
• 数据分割:
  • 训练集: 1116 个样本，398719157.336 字节
  • 测试集: 280 个样本，96603538.0 字节

任务类型

• 任务类别: 音频分类
• 任务ID: 音频情感识别

数据集创建

• 语言创建方式:
  • 专家生成
  • 众包
• 注释创建方式: 专家生成