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+ # Dataset Card for Unsupervised Peoples Speech
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+ ## Table of Contents
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+ - [Dataset Card for Unuspervised Peoples Speech](#dataset-card-for-unsupervised-peoples-speech)
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+ - [Table of Contents](#table-of-contents)
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Dataset Structure](#dataset-structure)
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+ - [reformat](#reformat)
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+ - [audio and audio2](#transcription-and-transcription_2)
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+ - [license.json](#licensejson)
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+ - [Data License](#data-license)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Source Data](#source-data)
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+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
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+ - [Preprocessing](#preprocessing)
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+ - [Annotations] (#annotations)
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+ - [Annotation Process] (#annotation-process)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Additional Information](#additional-information)
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+ - [Licensing Information](#licensing-information)
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+
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+ ## Dataset Description
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+ - **Point of Contact:** [datasets@mlcommons.org](mailto:datasets@mlcommons.org)
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+ ### Dataset Summary
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+ 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.
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+
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+ ## Dataset Structure
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+
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+ ### audio and audio2
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+ 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.
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+ ### license.json
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+ File with license information. The key is the name of the original audio file on Wikimedia Commons.
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+ ### Data License
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+ Here is an excerpt from license.json:
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+ """
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+ '"Berlin Wall" Speech - President Reagan\'s Address at the Brandenburg Gate - 6-12-87.webm': {'author': '<td>\n<a class="external text" href="https://www.youtube.com/user/ReaganFoundation" rel="nofollow">ReaganFoundation</a></td>',
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+ 'source': '<td>\n<bdo dir="ltr" lang="en"><a href="/wiki/Commons:YouTube_files" [...],
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+ 'html_license': '[\'<table class="layouttemplate mw-content-ltr" lang="en" style="width:100%; [...],
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+ 'license': 'Public Domain'},
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+
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+
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+ ## Dataset Creation
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+
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+ ### Source Data
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+ #### Initial Data Collection and Normalization
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+ Data was downloaded from
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+
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+ #### Preprocessing
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+ No preprocessing was done.
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+ ### Annotations
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+ #### Annotation process
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+ No manual annotation is done. We download only source audio with already existing transcripts.
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+ In particular, there is no "forced alignment" or "segmentation" done on this dataset.
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+ ### Personal and Sensitive Information
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+ 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.
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+ ## Considerations for Using the Data
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+ ### Discussion of Biases
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+ Our data is downloaded from commons.wikimedia.org. As such, the data is biased towards whatever users decide to upload there.
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+ The data is also mostly English, though this has potential for multitask learning because several audio files have more than one transcription.
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+ ## Additional Information
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+ ### Licensing Information
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+ The source data contains data under Public Domain and Creative Commons Licenses.
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+ We license this dataset under https://creativecommons.org/licenses/by-sa/4.0/
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+ The appropriate attributions are in license.json