Fix readme

README.md

@@ -12,7 +12,6 @@ task_ids:
 - audio-language-identification
 viewer: false
 
-
 ---
 
 
@@ -23,11 +22,9 @@ viewer: false
   - [Table of Contents](#table-of-contents)
   - [Dataset Description](#dataset-description)
     - [Dataset Summary](#dataset-summary)
+    - [Relevant Statistics](#relevant-statistics)
   - [Dataset Structure](#dataset-structure)
-    - [reformat](#reformat)
-    - [audio and audio2](#transcription-and-transcription_2)
-    - [license.json](#licensejson)
-    - [Data License](#data-license)
+    - [Audio folders](#audio-folders)
   - [Dataset Creation](#dataset-creation)
     - [Source Data](#source-data)
       - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
@@ -45,28 +42,27 @@ viewer: false
 
 ### 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. 
+The Unsupervised Peoples Speech Dataset is a compilation of audiofiles  extracted from Archive.org that is licensed for academic and commercial usage under CC-BY and CC-BY-SA licenses. It includes more than one million hours of audio with a diverse set of speakers.
 
-## Dataset Structure
+### Relevant Statistics
 
-### audio and audio2
+#### Duration Distribution
 
-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.
+Most of the audios range between 1 and 10 minutes in length, with only 14 of them exceeding the 100 hour mark.
 
+![Duration Distribution](./images/duration_distribution.png)
 
-### license.json
+#### Sample Rates
 
-File with license information. The key is the name of the original audio file on Wikimedia Commons.
+99% of the audio in the dataset has a 44.1Khz sample rate, and the remaining audio varies from the more common 16Khz, 24Khz and 48 Khz to custom sample rates.
 
-### Data License
+![Sample Rates](./images/sample_rate_distribution.png)
 
-Here is an excerpt from license.json:
+## Dataset Structure
 
-"""
-'"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>',
-  'source': '<td>\n<bdo dir="ltr" lang="en"><a href="/wiki/Commons:YouTube_files" [...],
-  'html_license': '[\'<table class="layouttemplate mw-content-ltr" lang="en" style="width:100%; [...],
-  'license': 'Public Domain'},
+### Audio folders
+
+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.
 
 
 ## Dataset Creation
@@ -75,7 +71,7 @@ Here is an excerpt from license.json:
 
 #### Initial Data Collection and Normalization
 
-Data was downloaded from 
+Data was downloaded via the archive.org API. No data inference was done.
 
 #### Preprocessing
 
@@ -85,7 +81,7 @@ No preprocessing was done.
 
 #### Annotation process
 
-No manual annotation is done. We download only source audio with already existing transcripts. 
+No manual annotation is done. We download only source audio.
 
 In particular, there is no "forced alignment" or "segmentation" done on this dataset.
 
@@ -97,16 +93,14 @@ Several of our sources are legal and government proceedings, spoken stories, spe
 
 ### Discussion of Biases
 
-Our data is downloaded from commons.wikimedia.org. As such, the data is biased towards whatever users decide to upload there.
+Our data is downloaded from archive.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.
+Almost all of our data is American accented English.
 
 ## Additional Information
 
 ### Licensing Information
 
-The source data contains data under Public Domain and Creative Commons Licenses. 
+The source data contains data under CC-BY-SA and CC-BY licenses. 
 
 We license this dataset under https://creativecommons.org/licenses/by-sa/4.0/
-
-The appropriate attributions are in license.json