INTRODUCTION
============
Multilingual LibriSpeech (MLS) dataset is a large multilingual corpus 
suitable for speech research. The dataset is derived from read audiobooks 
from LibriVox and consists of 8 languages - English, German, Dutch, French, 
Spanish, Italian, Portuguese and Polish. 


STATISTICS
==========
------------------------------------------------
Language   |  train(hrs) | dev(hrs) | test(hrs)
------------------------------------------------
English	   |  44659.74   |  15.75   |  15.55
German	   |   1966.51	 |  14.28   |  14.29
Dutch	   |   1554.24	 |  12.76   |  12.76
French	   |   1076.58	 |  10.07   |  10.07
Spanish	   |    917.68	 |   9.99   |  10.00
Italian	   |    247.38	 |   5.18   |   5.27
Portuguese |	160.96	 |   3.64   |   3.74
Polish	   |    103.65	 |   2.08   |   2.14
------------------------------------------------


DIRECTORY STRUCTURE
===================

A typical top-level directory layout

.
├── metainfo.txt                                # Info about the LibriVox data used in the dataset (one row per chapter)
├── dev                                         # Dev (validation) subset
│   ├── segments.txt
│   ├── transcripts.txt
│   └── audio
│       └── ...
├── test                                        # Test subset
│   ├── segments.txt
│   ├── transcripts.txt
│   └── audio
│       └── ...
├── train                                    	# Train subset 
│   ├── segments.txt                            # LibriVox audio links and segment start/end timestamps (in sec) for each audio file
│   ├── transcripts.txt                         # Transcripts file with audio file name as key
│   ├── audio 
│   │   ├── 10148   	 			# LibriVox speaker ID
│   │   │   ├── 10119 				# LibriVox book ID
│   │   │   │   ├── 10148_10119_000000.flac	# 16Khz audio file
│   │   │   │   ├── 10148_10119_000001.flac
│   │   │   │   └── ...
│   │   │   └── ...       
│   │   └── ...
│   └── limited_supervision			# Limited supervision training sets (10 min, 1 hr and 10 hr)
│       ├── 1hr                               	# Data of the 1h split (made up of 6 folds of 10 min)
│       │   ├── 0				# first 10 min fold
│       │   │   └── handles.txt			# List of audio handles for the split	
│       │   ├── ...		
│       │   └── 6                               # last 10 min fold
│       │       └── handles.txt                 
│       └── 9hr					# Remaining data of the 10h split (10h=1h+9h)
│           └── handles.txt
├── LICENSE				        # License info
└── README

For more information, see the paper "MLS: A Large-Scale Multilingual Dataset for Speech Research", Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve and Ronan Collobert, INTERSPEECH 2020.