Update README.md

README.md

@@ -12,6 +12,7 @@ language:
 - es
 - pt
 - pl
+- en
 license:
 - cc-by-4.0
 multilinguality:
@@ -22,6 +23,8 @@ source_datasets:
 - original
 task_categories:
 - automatic-speech-recognition
+- text-to-speech
+- text-to-audio
 paperswithcode_id: multilingual-librispeech
 pretty_name: MultiLingual LibriSpeech
 dataset_info:
@@ -49,19 +52,19 @@ dataset_info:
     dtype: string
   splits:
   - name: dev
-    num_bytes: 199959986.0
+    num_bytes: 199959986
     num_examples: 3095
   - name: test
-    num_bytes: 199298575.0
+    num_bytes: 199298575
     num_examples: 3075
   - name: train
-    num_bytes: 23931679031.0
+    num_bytes: 23931679031
     num_examples: 374287
   - name: 9_hours
     num_bytes: 139884664.668
     num_examples: 2153
   - name: 1_hours
-    num_bytes: 15462181.0
+    num_bytes: 15462181
     num_examples: 234
   download_size: 24376256629
   dataset_size: 24486284437.668
@@ -101,7 +104,7 @@ dataset_info:
     num_bytes: 142796680.609
     num_examples: 2167
   - name: 1_hours
-    num_bytes: 15675831.0
+    num_bytes: 15675831
     num_examples: 241
   download_size: 17381581776
   dataset_size: 17459684482.927002
@@ -135,13 +138,13 @@ dataset_info:
     num_bytes: 225756069.096
     num_examples: 3394
   - name: train
-    num_bytes: 31050881388.0
+    num_bytes: 31050881388
     num_examples: 469942
   - name: 9_hours
     num_bytes: 142777983.118
     num_examples: 2194
   - name: 1_hours
-    num_bytes: 15714704.0
+    num_bytes: 15714704
     num_examples: 241
   download_size: 31526161821
   dataset_size: 31659423725.516
@@ -175,13 +178,13 @@ dataset_info:
     num_bytes: 83216752.046
     num_examples: 1262
   - name: train
-    num_bytes: 3896742625.0
+    num_bytes: 3896742625
     num_examples: 59623
   - name: 9_hours
     num_bytes: 141671904.428
     num_examples: 2173
   - name: 1_hours
-    num_bytes: 15560398.0
+    num_bytes: 15560398
     num_examples: 240
   download_size: 4200633596
   dataset_size: 4218799275.522
@@ -209,22 +212,22 @@ dataset_info:
     dtype: string
   splits:
   - name: dev
-    num_bytes: 32746725.0
+    num_bytes: 32746725
     num_examples: 512
   - name: test
-    num_bytes: 33735044.0
+    num_bytes: 33735044
     num_examples: 520
   - name: train
-    num_bytes: 1638889846.0
+    num_bytes: 1638889846
     num_examples: 25043
   - name: 9_hours
-    num_bytes: 142005461.0
+    num_bytes: 142005461
     num_examples: 2173
   - name: 1_hours
-    num_bytes: 15681216.0
+    num_bytes: 15681216
     num_examples: 238
   download_size: 1855342312
-  dataset_size: 1863058292.0
+  dataset_size: 1863058292
 - config_name: portuguese
   features:
   - name: audio
@@ -249,10 +252,10 @@ dataset_info:
     dtype: string
   splits:
   - name: dev
-    num_bytes: 57533473.0
+    num_bytes: 57533473
     num_examples: 826
   - name: test
-    num_bytes: 59141979.0
+    num_bytes: 59141979
     num_examples: 871
   - name: train
     num_bytes: 2518553713.946
@@ -261,7 +264,7 @@ dataset_info:
     num_bytes: 141641902.42
     num_examples: 2116
   - name: 1_hours
-    num_bytes: 15697139.0
+    num_bytes: 15697139
     num_examples: 236
   download_size: 2780836500
   dataset_size: 2792568207.366
@@ -295,13 +298,13 @@ dataset_info:
     num_bytes: 158526899.32
     num_examples: 2385
   - name: train
-    num_bytes: 14562584188.0
+    num_bytes: 14562584188
     num_examples: 220701
   - name: 9_hours
     num_bytes: 142473624.48
     num_examples: 2110
   - name: 1_hours
-    num_bytes: 15702048.0
+    num_bytes: 15702048
     num_examples: 233
   download_size: 14971394533
   dataset_size: 15037091662.944
@@ -432,11 +435,12 @@ This is a streamable version of the Multilingual LibriSpeech (MLS) dataset.
 The data archives were restructured from the original ones from [OpenSLR](http://www.openslr.org/94) to make it easier to stream.
 
 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, Spanish, French, Italian, Portuguese, Polish.
+8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese, Polish. It includes about 44.5K hours of English and a total of about 6K hours for other languages.
 
 ### Supported Tasks and Leaderboards
 
 - `automatic-speech-recognition`, `speaker-identification`: The dataset can be used to train a model for Automatic Speech Recognition (ASR). The model is presented with an audio file and asked to transcribe the audio file to written text. The most common evaluation metric is the word error rate (WER). The task has an active leaderboard which can be found at https://paperswithcode.com/dataset/multilingual-librispeech and ranks models based on their WER.
+- `text-to-speech`, `text-to-audio`: The dataset can also be used to train a model for Text-To-Speech (TTS).
 
 ### Languages
 
@@ -449,16 +453,13 @@ The `datasets` library allows you to load and pre-process your dataset in pure P
 For example, to download the German config, simply specify the corresponding language config name (i.e., "german" for German):
 ```python
 from datasets import load_dataset
-
 mls = load_dataset("facebook/multilingual_librispeech", "german", split="train")
 ```
 
 Using the datasets library, you can also stream the dataset on-the-fly by adding a `streaming=True` argument to the `load_dataset` function call. Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire dataset to disk.
 ```python
 from datasets import load_dataset
-
 mls = load_dataset("facebook/multilingual_librispeech", "german", split="train", streaming=True)
-
 print(next(iter(mls)))
 ```
 
@@ -469,7 +470,6 @@ Local:
 ```python
 from datasets import load_dataset
 from torch.utils.data.sampler import BatchSampler, RandomSampler
-
 mls = load_dataset("facebook/multilingual_librispeech", "german", split="train")
 batch_sampler = BatchSampler(RandomSampler(mls), batch_size=32, drop_last=False)
 dataloader = DataLoader(mls, batch_sampler=batch_sampler)
@@ -480,7 +480,6 @@ Streaming:
 ```python
 from datasets import load_dataset
 from torch.utils.data import DataLoader
-
 mls = load_dataset("facebook/multilingual_librispeech", "german", split="train", streaming=True)
 dataloader = DataLoader(mls, batch_size=32)
 ```
@@ -521,12 +520,11 @@ A typical data point comprises the path to the audio file, usually called `file`
 - id: unique id of the data sample.
 
 - speaker_id: unique id of the speaker. The same speaker id can be found for multiple data samples.
-
 - chapter_id: id of the audiobook chapter which includes the transcription.
 
 ### Data Splits
 
-|                             | Train | Train.9h | Train.1h  | Dev | Test |
+|           Number of samples                  | Train | Train.9h | Train.1h  | Dev | Test |
 | -----                       | ------ | ----- | ---- | ---- | ---- | 
 | german | 469942 | 2194 | 241 | 3469 | 3394 |
 | dutch | 374287 | 2153 | 234 | 3095 | 3075 |
@@ -536,8 +534,6 @@ A typical data point comprises the path to the audio file, usually called `file`
 | portuguese | 37533 | 2116 | 236 | 826 | 871 |
 | polish | 25043 | 2173 | 238 | 512 | 520 |
 
-
-
 ## Dataset Creation
 
 ### Curation Rationale
@@ -604,7 +600,47 @@ Public Domain, Creative Commons Attribution 4.0 International Public License ([C
 }
 ```
 
+
+### Data Statistics
+
+| Duration (h) | Train     | Dev   | Test  |
+|--------------|-----------|-------|-------|
+| English      | 44,659.74 | 15.75 | 15.55 |
+| German       | 1,966.51  | 14.28 | 14.29 |
+| Dutch        | 1,554.24  | 12.76 | 12.76 |
+| French       | 1,076.58  | 10.07 | 10.07 |
+| Spanish      | 917.68    | 9.99  | 10    |
+| Italian      | 247.38    | 5.18  | 5.27  |
+| Portuguese   | 160.96    | 3.64  | 3.74  |
+| Polish       | 103.65    | 2.08  | 2.14  |
+
+| # Speakers | Train |      | Dev |    | Test |    |
+|------------|-------|------|-----|----|------|----|
+|       Gender   | M     | F    | M   | F  | M    | F  |
+| English    | 2742  | 2748 | 21  | 21 | 21   | 21 |
+| German     | 81    | 95   | 15  | 15 | 15   | 15 |
+| Dutch      | 9     | 31   | 3   | 3  | 3    | 3  |
+| French     | 62    | 80   | 9   | 9  | 9    | 9  |
+| Spanish    | 36    | 50   | 10  | 10 | 10   | 10 |
+| Italian    | 22    | 43   | 5   | 5  | 5    | 5  |
+| Portuguese | 26    | 16   | 5   | 5  | 5    | 5  |
+| Polish     | 6     | 5    | 2   | 2  | 2    | 2  |
+
+| # Hours / Gender | Dev  |      | Test |      |
+|------------------|------|------|------|------|
+|       Gender   | M    | F    | M    | F    |
+| English          | 7.76 | 7.99 | 7.62 | 7.93 |
+| German           | 7.06 | 7.22 | 7    | 7.29 |
+| Dutch            | 6.44 | 6.32 | 6.72 | 6.04 |
+| French           | 5.13 | 4.94 | 5.04 | 5.02 |
+| Spanish          | 4.91 | 5.08 | 4.78 | 5.23 |
+| Italian          | 2.5  | 2.68 | 2.38 | 2.9  |
+| Portuguese       | 1.84 | 1.81 | 1.83 | 1.9  |
+| Polish           | 1.12 | 0.95 | 1.09 | 1.05 |
+
+
+
+
 ### Contributions
 
-Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten) 
-and [@polinaeterna](https://github.com/polinaeterna) for adding this dataset.
+Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten) and [@polinaeterna](https://github.com/polinaeterna) for adding this dataset.