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Datasets:
FBK-MT
/
mosel

Tasks:
Automatic Speech Recognition
Modalities:
Image
Text
Formats:
csv
Languages:
English
Bulgarian
Croatian
Size:
10M - 100M
Libraries:
Datasets
Dask
License:
Dataset card Viewer Files Community
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1
- ---
2
- task_categories:
3
- - automatic-speech-recognition
4
- language:
5
- - en
6
- - bg
7
- - hr
8
- - cs
9
- - da
10
- - nl
11
- - et
12
- - fi
13
- - fr
14
- - de
15
- - el
16
- - hu
17
- - ga
18
- - it
19
- - lv
20
- - lt
21
- - mt
22
- - pl
23
- - pt
24
- - ro
25
- - sk
26
- - sl
27
- - es
28
- - sv
29
- pretty_name: MOSEL
30
- license: cc-by-4.0
31
- ---
32
-
33
- <img src="./mosel-logo-transparent.png" align="center" width="100%">
34
-
35
- ### Dataset Description, Collection, and Source
36
-
37
- The MOSEL corpus is a multilingual dataset collection including up to 950K hours of open-source speech recordings covering the 24 official languages of the European Union. We collect data by surveying labeled and unlabeled speech corpora under open-source compliant licenses.
38
- In particular, MOSEL includes the automatic transcripts of 441k hours of unlabeled speech from VoxPopuli and LibriLight. The data is transcribed using [Whisper large v3](https://huggingface.co/openai/whisper-large-v3).
39
- Whisper is released under the OS Apache 2.0 License which allows releasing the generated content under any license. Since LibriLight, differently from VoxPopuli, contains segments longer than Whisper's maximum duration limit of 30sec, we split them into chunks of up to 30sec.
40
-
41
- - **Curated by:** Marco Gaido, Sara Papi, Luisa Bentivogli, Alessio Brutti, Mauro Cettolo, Roberto Gretter, Marco Matassoni, Mohamed Nabih, and Matteo Negri
42
- - **Funded by:** FAIR, Meetween, and CINECA
43
- - **Shared by:** Fondazione Bruno Kessler
44
-
45
- ### License
46
- - CC-BY-4.0
47
-
48
- ### Dataset Sources
49
-
50
- - **Collection Repository:** [MOSEL](https://github.com/hlt-mt/mosel)
51
- - **Paper:** [MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages](https://arxiv.org/)
52
-
53
- ## Dataset Structure
54
-
55
- ### Data Config
56
- The dataset is split into folders corresponding to the languages using the [2-letters ISO codes](https://en.wikipedia.org/wiki/List_of_ISO_639_language_codes), one for each language. Within each folder, a split for each psuedo-labeled dataset is provided.
57
-
58
- ### Data Field
59
- `id`: alphanumeric identifier for the segment
60
-
61
- `language`: extended language (e.g., "english")
62
-
63
- `text`: the content of the psuedo label
64
-
65
- `hall_repeated_ngrams`: True/False - indicates the repetition of an *n*-gram in `text` for a minimum number of times; for *n* in 1 to 2, the threshold is 4, for *n* in 3 to 5, it is 3
66
-
67
- `hall_long_word`: True/False - indicates the presence of a word of at least 40 characters in `text`
68
-
69
- `hall_frequent_single_word`: True/False - indicates that `text` consists of only one word which is the most frequent inside the whole text
70
-
71
- ## Dataset Statistics (in hours)
72
-
73
- | Language (LangID) | Labeled | Unlabeled | Total |
74
- |--------|--------|--------|-------|
75
- | Bulgarian (bg) | 111 | 17609 | 17720 |
76
- | Croatian (hr) | 55 | 8106 | 8161 |
77
- | Czech (cs) | 591 | 18705 | 19296 |
78
- | Danish (da) | 20 | 13600 | 13620 |
79
- | Dutch (nl) | 3395 | 19014 | 22409 |
80
- | English (en) | 437239 | 84704 | 521943|
81
- | Estonian (et) | 60 | 10604 | 10664 |
82
- | Finnish (fi) | 64 | 14200 | 14264 |
83
- | French (fr) | 26984 | 22896 | 49880 |
84
- | German (de) | 9236 | 23228 | 32464 |
85
- | Greek (el) | 35 | 17703 | 17738 |
86
- | Hungarian (hu) | 189 | 17701 | 17890 |
87
- | Irish (ga) | 17 | 0 | 17 |
88
- | Italian (it) | 3756 | 21933 | 25689 |
89
- | Latvian (lv) | 173 | 13100 | 13273 |
90
- | Lithuanian (lt) | 36 | 14400 | 14436 |
91
- | Maltese (mt) | 19 | 9100 | 9119 |
92
- | Polish (pl) | 510 | 21207 | 21717 |
93
- | Portuguese (pt) | 5492 | 17526 | 23018 |
94
- | Romanian (ro) | 121 | 17906 | 18021 |
95
- | Slovak (sk) | 61 | 12100 | 12161 |
96
- | Slovenian (sl) | 32 | 11300 | 11332 |
97
- | Spanish (es) | 17471 | 21526 | 38997 |
98
- | Swedish (sv) | 58 | 16300 | 16358 |
99
- | Total | 505725 | 444467 | 950192|
100
-
101
-
102
- ## Dataset Creation
103
- To reproduce the dataset creation, please refer to the [MOSEL README in the fbk-llm](https://github.com/hlt-mt/fbk-llm) repository.
104
-
105
-
106
- ## Citation
107
- Release 1.0:
108
- ```
109
- @inproceedings{mosel,
110
- title = {{MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages}},
111
- author = {Marco Gaido and Sara Papi and Luisa Bentivogli and Alessio Brutti and Mauro Cettolo and Roberto Gretter and Marco Matassoni and Mohamed Nabihand Matteo Negri},
112
- booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
113
- month = nov,
114
- year = "2024",
115
- address = "Miami, United States",
116
- publisher = "Association for Computational Linguistics",
117
- }
118
- ```
119
-
120
- ## Dataset Card Contact
121
- [@spapi](https://huggingface.co/spapi)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ task_categories:
5
+ - automatic-speech-recognition
6
+ - text-to-speech
7
+ language:
8
+ - en
9
+ - bg
10
+ - hr
11
+ - cs
12
+ - da
13
+ - nl
14
+ - et
15
+ - fi
16
+ - fr
17
+ - de
18
+ - el
19
+ - hu
20
+ - ga
21
+ - it
22
+ - lv
23
+ - lt
24
+ - mt
25
+ - pl
26
+ - pt
27
+ - ro
28
+ - sk
29
+ - sl
30
+ - es
31
+ - sv
32
+ language_creators:
33
+ - found
34
+ modality:
35
+ - text
36
+ - audio
37
+ multilinguality:
38
+ - multilingual
39
+ pretty_name: MOSEL
40
+ license: cc-by-4.0
41
+ tags:
42
+ - speech
43
+ - speech-to-text
44
+ - open-source
45
+ - whisper
46
+ configs:
47
+ - config_name: bg
48
+ data_files:
49
+ - split: train
50
+ path: bg/*
51
+ - config_name: cs
52
+ data_files:
53
+ - split: train
54
+ path: cs/*
55
+ - config_name: da
56
+ data_files:
57
+ - split: train
58
+ path: da/*
59
+ - config_name: de
60
+ data_files:
61
+ - split: train
62
+ path: de/*
63
+ - config_name: el
64
+ data_files:
65
+ - split: train
66
+ path: el/*
67
+ - config_name: en
68
+ data_files:
69
+ - split: train
70
+ path: en/*
71
+ - config_name: es
72
+ data_files:
73
+ - split: train
74
+ path: es/*
75
+ - config_name: et
76
+ data_files:
77
+ - split: train
78
+ path: et/*
79
+ - config_name: fi
80
+ data_files:
81
+ - split: train
82
+ path: fi/*
83
+ - config_name: fr
84
+ data_files:
85
+ - split: train
86
+ path: fr/*
87
+ - config_name: hr
88
+ data_files:
89
+ - split: train
90
+ path: hr/*
91
+ - config_name: hu
92
+ data_files:
93
+ - split: train
94
+ path: hu/*
95
+ - config_name: it
96
+ data_files:
97
+ - split: train
98
+ path: it/*
99
+ - config_name: lt
100
+ data_files:
101
+ - split: train
102
+ path: lt/*
103
+ - config_name: lv
104
+ data_files:
105
+ - split: train
106
+ path: lv/*
107
+ - config_name: mt
108
+ data_files:
109
+ - split: train
110
+ path: mt/*
111
+ - config_name: nl
112
+ data_files:
113
+ - split: train
114
+ path: nl/*
115
+ - config_name: pl
116
+ data_files:
117
+ - split: train
118
+ path: pl/*
119
+ - config_name: pt
120
+ data_files:
121
+ - split: train
122
+ path: pt/*
123
+ - config_name: ro
124
+ data_files:
125
+ - split: train
126
+ path: ro/*
127
+ - config_name: sk
128
+ data_files:
129
+ - split: train
130
+ path: sk/*
131
+ - config_name: sl
132
+ data_files:
133
+ - split: train
134
+ path: sl/*
135
+ - config_name: sv
136
+ data_files:
137
+ - split: train
138
+ path: sv/*
139
+
140
+ ---
141
+
142
+ <img src="./mosel-logo-transparent.png" align="center" width="100%">
143
+
144
+ ### Dataset Description, Collection, and Source
145
+
146
+ The MOSEL corpus is a multilingual dataset collection including up to 950K hours of open-source speech recordings covering the 24 official languages of the European Union. We collect data by surveying labeled and unlabeled speech corpora under open-source compliant licenses.
147
+ In particular, MOSEL includes the automatic transcripts of 441k hours of unlabeled speech from VoxPopuli and LibriLight. The data is transcribed using [Whisper large v3](https://huggingface.co/openai/whisper-large-v3).
148
+ Whisper is released under the OS Apache 2.0 License which allows releasing the generated content under any license. Since LibriLight, differently from VoxPopuli, contains segments longer than Whisper's maximum duration limit of 30sec, we split them into chunks of up to 30sec.
149
+
150
+ - **Curated by:** Marco Gaido, Sara Papi, Luisa Bentivogli, Alessio Brutti, Mauro Cettolo, Roberto Gretter, Marco Matassoni, Mohamed Nabih, and Matteo Negri
151
+ - **Funded by:** FAIR, Meetween, and CINECA
152
+ - **Shared by:** Fondazione Bruno Kessler
153
+
154
+ ### License
155
+ - CC-BY-4.0
156
+
157
+ ### Dataset Sources
158
+
159
+ - **Collection Repository:** [MOSEL](https://github.com/hlt-mt/mosel)
160
+ - **Paper:** [MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages](https://arxiv.org/)
161
+
162
+ ## Dataset Structure
163
+
164
+ ### Data Config
165
+ The dataset is split into folders corresponding to the languages using the [2-letters ISO codes](https://en.wikipedia.org/wiki/List_of_ISO_639_language_codes), one for each language. Within each folder, a split for each psuedo-labeled dataset is provided.
166
+
167
+ ### Data Field
168
+ `id`: alphanumeric identifier for the segment
169
+
170
+ `language`: extended language (e.g., "english")
171
+
172
+ `text`: the content of the psuedo label
173
+
174
+ `hall_repeated_ngrams`: True/False - indicates the repetition of an *n*-gram in `text` for a minimum number of times; for *n* in 1 to 2, the threshold is 4, for *n* in 3 to 5, it is 3
175
+
176
+ `hall_long_word`: True/False - indicates the presence of a word of at least 40 characters in `text`
177
+
178
+ `hall_frequent_single_word`: True/False - indicates that `text` consists of only one word which is the most frequent inside the whole text
179
+
180
+ ## Dataset Statistics (in hours)
181
+
182
+ | Language (LangID) | Labeled | Unlabeled | Total |
183
+ |--------|--------|--------|-------|
184
+ | Bulgarian (bg) | 111 | 17609 | 17720 |
185
+ | Croatian (hr) | 55 | 8106 | 8161 |
186
+ | Czech (cs) | 591 | 18705 | 19296 |
187
+ | Danish (da) | 20 | 13600 | 13620 |
188
+ | Dutch (nl) | 3395 | 19014 | 22409 |
189
+ | English (en) | 437239 | 84704 | 521943|
190
+ | Estonian (et) | 60 | 10604 | 10664 |
191
+ | Finnish (fi) | 64 | 14200 | 14264 |
192
+ | French (fr) | 26984 | 22896 | 49880 |
193
+ | German (de) | 9236 | 23228 | 32464 |
194
+ | Greek (el) | 35 | 17703 | 17738 |
195
+ | Hungarian (hu) | 189 | 17701 | 17890 |
196
+ | Irish (ga) | 17 | 0 | 17 |
197
+ | Italian (it) | 3756 | 21933 | 25689 |
198
+ | Latvian (lv) | 173 | 13100 | 13273 |
199
+ | Lithuanian (lt) | 36 | 14400 | 14436 |
200
+ | Maltese (mt) | 19 | 9100 | 9119 |
201
+ | Polish (pl) | 510 | 21207 | 21717 |
202
+ | Portuguese (pt) | 5492 | 17526 | 23018 |
203
+ | Romanian (ro) | 121 | 17906 | 18021 |
204
+ | Slovak (sk) | 61 | 12100 | 12161 |
205
+ | Slovenian (sl) | 32 | 11300 | 11332 |
206
+ | Spanish (es) | 17471 | 21526 | 38997 |
207
+ | Swedish (sv) | 58 | 16300 | 16358 |
208
+ | Total | 505725 | 444467 | 950192|
209
+
210
+
211
+ ## Dataset Creation
212
+ To reproduce the dataset creation, please refer to the [MOSEL README in the fbk-llm](https://github.com/hlt-mt/fbk-llm) repository.
213
+
214
+
215
+ ## Citation
216
+ Release 1.0:
217
+ ```
218
+ @inproceedings{mosel,
219
+ title = {{MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages}},
220
+ author = {Marco Gaido and Sara Papi and Luisa Bentivogli and Alessio Brutti and Mauro Cettolo and Roberto Gretter and Marco Matassoni and Mohamed Nabihand Matteo Negri},
221
+ booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
222
+ month = nov,
223
+ year = "2024",
224
+ address = "Miami, United States",
225
+ publisher = "Association for Computational Linguistics",
226
+ }
227
+ ```
228
+
229
+ ## Dataset Card Contact
230
+ [@spapi](https://huggingface.co/spapi)