FBK-MT/mosel

Dataset Description, Collection, and Source

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. 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. 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.

• Curated by: Marco Gaido, Sara Papi, Luisa Bentivogli, Alessio Brutti, Mauro Cettolo, Roberto Gretter, Marco Matassoni, Mohamed Nabih, and Matteo Negri
• Funded by: FAIR, Meetween, and CINECA
• Shared by: Fondazione Bruno Kessler

License

• CC-BY-4.0

Dataset Sources

• Collection Repository: MOSEL
• Paper: MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages

Dataset Structure

Data Config

The dataset is split into folders corresponding to the languages using the 2-letters ISO codes, one for each language. Within each folder, a split for each psuedo-labeled dataset is provided.

Data Field

id: alphanumeric identifier for the segment

language: extended language (e.g., "english")

text: the content of the psuedo label

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

hall_long_word: True/False - indicates the presence of a word of at least 40 characters in text

hall_frequent_single_word: True/False - indicates that text consists of only one word which is the most frequent inside the whole text

Dataset Statistics (in hours)

Language (LangID)	Labeled	Unlabeled	Total
Bulgarian (bg)	111	17609	17720
Croatian (hr)	55	8106	8161
Czech (cs)	591	18705	19296
Danish (da)	20	13600	13620
Dutch (nl)	3395	19014	22409
English (en)	437239	84704	521943
Estonian (et)	60	10604	10664
Finnish (fi)	64	14200	14264
French (fr)	26984	22896	49880
German (de)	9236	23228	32464
Greek (el)	35	17703	17738
Hungarian (hu)	189	17701	17890
Irish (ga)	17	0	17
Italian (it)	3756	21933	25689
Latvian (lv)	173	13100	13273
Lithuanian (lt)	36	14400	14436
Maltese (mt)	19	9100	9119
Polish (pl)	510	21207	21717
Portuguese (pt)	5492	17526	23018
Romanian (ro)	121	17906	18021
Slovak (sk)	61	12100	12161
Slovenian (sl)	32	11300	11332
Spanish (es)	17471	21526	38997
Swedish (sv)	58	16300	16358
Total	505725	444467	950192

Dataset Creation

To reproduce the dataset creation, please refer to the MOSEL README in the fbk-llm repository.

Citation

Release 1.0:

@inproceedings{mosel,
  title = {{MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages}},
  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},
  booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
  month = nov,
  year = "2024",
  address = "Miami, United States",
  publisher = "Association for Computational Linguistics",
}

Dataset Card Contact

@spapi