Approximetal commited on
Commit
fbc026a
·
verified ·
1 Parent(s): 562d463

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +25 -30
README.md CHANGED
@@ -1,22 +1,23 @@
1
  ---
2
  license: cc-by-sa-4.0
3
  language:
4
- - it
5
- - pt
6
- - es
7
- - fr
8
- - de
9
- - vi
10
- - id
11
- - ru
12
- - en
13
- - zh
 
 
 
14
  size_categories:
15
- - n>1T
16
- ---
17
  dataset_info:
18
  features:
19
-
20
  - name: audio
21
  dtype: audio
22
  - name: txt
@@ -24,35 +25,29 @@ dataset_info:
24
  - name: align
25
  dtype: json
26
  ---
27
-
28
  # LEMAS Eval Set
29
 
30
  Multilingual evaluation set for speech synthesis and speech understanding.
31
 
32
- - Audio: MP3, 16kHz
33
- - Text: normalized transcription
34
- - Align: word-level alignment
35
-
36
- ---
37
- task_categories:
38
- - text-to-speech
39
- - speech-recognition
40
- ---
41
 
42
- # LEMAS multilingual dataset
 
 
43
 
44
- This directory contains the speech dataset of **LEMAS**, covering
45
- 10 languages and ~150k hours corpus with word-level timestamps.
 
46
 
47
  ## Fields
48
 
49
- - `audio`: relative path to MP3 audio
50
  - `dur`: duration in seconds
51
- - `txt`: normalized text
52
  - `align.txt`: normalized text used for alignment
53
- - `align.words`: word-level timestamps
54
 
55
  ## Notes
56
 
57
  - Audio is encoded in MP3 (LAME, q=3)
58
- - All paths are relative to the directory
 
1
  ---
2
  license: cc-by-sa-4.0
3
  language:
4
+ - it
5
+ - pt
6
+ - es
7
+ - fr
8
+ - de
9
+ - vi
10
+ - id
11
+ - ru
12
+ - en
13
+ - zh
14
+ task_categories:
15
+ - text-to-speech
16
+ - speech-recognition
17
  size_categories:
18
+ - n>1T
 
19
  dataset_info:
20
  features:
 
21
  - name: audio
22
  dtype: audio
23
  - name: txt
 
25
  - name: align
26
  dtype: json
27
  ---
 
28
  # LEMAS Eval Set
29
 
30
  Multilingual evaluation set for speech synthesis and speech understanding.
31
 
32
+ ## Overview
 
 
 
 
 
 
 
 
33
 
34
+ This dataset is part of **LEMAS (Large-scale Extensible Multilingual Audio Suite)**.
35
+ It contains high-quality evaluation subsets for 10 languages with
36
+ word-level alignment.
37
 
38
+ - **Audio**: MP3, 16kHz
39
+ - **Text**: normalized transcription
40
+ - **Alignment**: word-level timestamps
41
 
42
  ## Fields
43
 
44
+ - `audio`: relative path to MP3 audio file
45
  - `dur`: duration in seconds
46
+ - `text`: normalized transcription
47
  - `align.txt`: normalized text used for alignment
48
+ - `align.words`: list of word-level timestamps
49
 
50
  ## Notes
51
 
52
  - Audio is encoded in MP3 (LAME, q=3)
53
+ - All audio paths are relative to the dataset root