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metadata
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
      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

Dataset Description

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 = {hello@socialcode.ru}
}

Contributions

Thanks to @Ar4ikov for adding this dataset.