--- language: - eng pretty_name: Unsupervised Peoples Speech tags: - audio - unsupervised task_categories: - automatic-speech-recognition - audio-classification task_ids: - audio-language-identification --- # Dataset Card for Unsupervised Peoples Speech ## Table of Contents - [Dataset Card for Unuspervised Peoples Speech](#dataset-card-for-unsupervised-peoples-speech) - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Dataset Structure](#dataset-structure) - [reformat](#reformat) - [audio and audio2](#transcription-and-transcription_2) - [license.json](#licensejson) - [Data License](#data-license) - [Dataset Creation](#dataset-creation) - [Source Data](#source-data) - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) - [Preprocessing](#preprocessing) - [Annotations] (#annotations) - [Annotation Process] (#annotation-process) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Discussion of Biases](#discussion-of-biases) - [Additional Information](#additional-information) - [Licensing Information](#licensing-information) ## Dataset Description - **Point of Contact:** [datasets@mlcommons.org](mailto:datasets@mlcommons.org) ### 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': '