Datasets:
MOSELv2 - Granary
#8
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- README.md +53 -0
- bg/voxpopuli.tsv +2 -2
- bg/ytc.tsv +3 -0
- cs/voxpopuli.tsv +2 -2
- cs/ytc.tsv +3 -0
- da/voxpopuli.tsv +2 -2
- da/ytc.tsv +3 -0
- de/voxpopuli.tsv +2 -2
- de/ytc.tsv +3 -0
- el/voxpopuli.tsv +2 -2
- el/ytc.tsv +3 -0
- en/librilight_large.tsv +2 -2
- en/librilight_medium.tsv +2 -2
- en/librilight_small.tsv +2 -2
- en/voxpopuli.tsv +2 -2
- en/ytc.tsv +3 -0
- es/voxpopuli.tsv +2 -2
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- et/voxpopuli.tsv +2 -2
- et/ytc.tsv +3 -0
- fi/voxpopuli.tsv +2 -2
- fi/ytc.tsv +3 -0
- fr/voxpopuli.tsv +2 -2
- fr/ytc.tsv +3 -0
- hr/voxpopuli.tsv +2 -2
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- hu/voxpopuli.tsv +2 -2
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- it/voxpopuli.tsv +2 -2
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- lt/voxpopuli.tsv +2 -2
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- lv/voxpopuli.tsv +2 -2
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- mt/voxpopuli.tsv +2 -2
- nl/voxpopuli.tsv +2 -2
- nl/ytc.tsv +3 -0
- pl/voxpopuli.tsv +2 -2
- pl/ytc.tsv +3 -0
- pt/voxpopuli.tsv +2 -2
- pt/ytc.tsv +3 -0
- ro/voxpopuli.tsv +2 -2
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- sk/voxpopuli.tsv +2 -2
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- sl/voxpopuli.tsv +2 -2
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- sv/voxpopuli.tsv +2 -2
- sv/ytc.tsv +3 -0
- uk/ytc.tsv +3 -0
README.md
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## Dataset Statistics (in hours)
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| Language (LangID) | Labeled | Unlabeled | Total |
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|--------|--------|--------|-------|
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| Bulgarian (bg) | 111 | 17609 | 17720 |
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| Swedish (sv) | 58 | 16300 | 16358 |
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| Total | 505725 | 444467 | 950192|
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## Dataset Creation
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To reproduce the dataset creation, please refer to the [MOSEL README in the fbk-llm](https://github.com/hlt-mt/fbk-llm) repository.
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The scripts used for hallucination detection are available in the `scripts` folder of this repository.
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## Changelog
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### Version 1.1
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- Adds missing Croatian data in Voxpopuli.
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}
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```
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## Dataset Card Contact
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[@spapi](https://huggingface.co/spapi)
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## Dataset Statistics (in hours)
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The following statistics refer to the whole MOSEL dataset:
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| Language (LangID) | Labeled | Unlabeled | Total |
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|--------|--------|--------|-------|
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| Bulgarian (bg) | 111 | 17609 | 17720 |
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| Swedish (sv) | 58 | 16300 | 16358 |
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| Total | 505725 | 444467 | 950192|
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However, in this repo, there are transcripts only for a subset of the MOSEL data,
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corresponding to:
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| Language (LangID) | Hours |
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|--------|--------|
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| Bulgarian (bg) | 13892 |
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| Croatian (hr) | 5276 |
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| Czech (cs) | 14960 |
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| Danish (da) | 10087 |
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| Dutch (nl) | 12422 |
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| English (en) | 184092 |
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| Estonian (et) | 7974 |
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| Finnish (fi) | 10687 |
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| French (fr) | 20225 |
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| German (de) | 19464 |
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| Greek (el) | 10982 |
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| Hungarian (hu) | 11660 |
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| Irish (ga) | 0 |
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| Italian (it) | 16713 |
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| Latvian (lv) | 9311 |
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| Lithuanian (lt) | 10770 |
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| Maltese (mt) | 4010 |
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| Polish (pl) | 16502 |
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| Portuguese (pt) | 15434 |
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| Romanian (ro) | 12377 |
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| Slovak (sk) | 4458 |
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| Slovenian (sl) | 5851 |
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| Spanish (es) | 16970 |
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| Swedish (sv) | 9918 |
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| Total | 444035 |
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## Dataset Creation
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To reproduce the dataset creation, please refer to the [MOSEL README in the fbk-llm](https://github.com/hlt-mt/fbk-llm) repository.
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The scripts used for hallucination detection are available in the `scripts` folder of this repository.
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For version 2.0, the data has been curated with [NeMo-speech-data-processor](https://github.com/NVIDIA/NeMo-speech-data-processor).
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## Changelog
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### Version 2.0
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- Part of Voxpopuli transcripts have been updated (see column `text_version_changed`).
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- Added translation into English of non-English Voxpopuli transcripts without detected hallucinations.
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Translations automatically judged of low quality (<0.6 according to QE scoring with EuroLLM)
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- Added YouTube-Commons transcripts.
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### Version 1.1
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- Adds missing Croatian data in Voxpopuli.
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}
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```
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For changes in version 2.0:
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```
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@inproceedings{granary,
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title = {{Granary: Speech Recognition and Translation Dataset in 25 European Languages}},
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author = {{Nithin Rao} Koluguri and Monica Sekoyan and George Zelenfroynd and Sasha Meister and Shuoyang Ding and Sofia Kostandian and He Huang and Nikolay Karpov and Jagadeesh Balam and Vitaly Lavrukhin and Yifan Peng and Sara Papi and Marco Gaido and Alessio Brutti and Boris Ginsburg},
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booktitle = "Proc. of Interspeech 2025",
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month = aug,
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year = "2025",
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address = "Rotterdam, Netherlands",
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}
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```
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## Dataset Card Contact
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[@spapi](https://huggingface.co/spapi)
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