metadata

language:
  - eng
pretty_name: Unsupervised Peoples Speech
tags:
  - audio
  - unsupervised
task_categories:
  - automatic-speech-recognition
  - audio-classification
task_ids:
  - audio-language-identification
viewer: false

Dataset Card for Unsupervised Peoples Speech

Dataset Card for Unuspervised Peoples Speech
- Table of Contents
- Dataset Description
  - Dataset Summary
- Dataset Structure
- Dataset Creation
  - Source Data
    - Initial Data Collection and Normalization
    - Preprocessing
  - [Annotations] (#annotations)
    - [Annotation Process] (#annotation-process)
- Considerations for Using the Data
  - Discussion of Biases
- Additional Information
  - Licensing Information

Dataset Description

Point of Contact: [email protected]

Dataset Summary

The Unuspervised Peoples Speech Dataset is a compilation of audiofiles with transcriptions extracted from wikimedia commons that is licensed for academic and commercial usage under CC and Public domain. It includes {}+ hours of transcribed speech in different languages with a diverse set of speakers.

Dataset Structure

audio and audio2

Folders with the raw audio. We split this into two directories because Hugging Face does not support more than 10,000 files in a single directory.

license.json

File with license information. The key is the name of the original audio file on Wikimedia Commons.

Data License

Here is an excerpt from license.json:

""" '"Berlin Wall" Speech - President Reagan's Address at the Brandenburg Gate - 6-12-87.webm': {'author': '\nReaganFoundation', 'source': '\n<a href="/wiki/Commons:YouTube_files" [...], 'html_license': '['<table class="layouttemplate mw-content-ltr" lang="en" style="width:100%; [...], 'license': 'Public Domain'},

Dataset Creation

Source Data

Initial Data Collection and Normalization

Data was downloaded from

Preprocessing

No preprocessing was done.

Annotations

Annotation process

No manual annotation is done. We download only source audio with already existing transcripts.

In particular, there is no "forced alignment" or "segmentation" done on this dataset.

Personal and Sensitive Information

Several of our sources are legal and government proceedings, spoken stories, speeches, and so on. Given that these were intended as public documents and licensed as such, it is natural that the involved individuals are aware of this.

Considerations for Using the Data

Discussion of Biases

Our data is downloaded from commons.wikimedia.org. As such, the data is biased towards whatever users decide to upload there.

The data is also mostly English, though this has potential for multitask learning because several audio files have more than one transcription.

Additional Information

Licensing Information

The source data contains data under Public Domain and Creative Commons Licenses.

We license this dataset under https://creativecommons.org/licenses/by-sa/4.0/

The appropriate attributions are in license.json