Datasets:
Tasks:
Audio Classification
Formats:
parquet
Sub-tasks:
audio-emotion-recognition
Languages:
Russian
Size:
1K - 10K
DOI:
License:
| 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 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 = {[email protected]} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@Ar4ikov](https://github.com/Ar4ikov) for adding this dataset. |