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License:
CC-BY-NC-SA-4.0
Steward:
Institute of Finno-Ugric/Uralic Studies, University of HamburgDataset ID:
cmn4kmw70000nnu07vwcwfdi5
Release Date: 3/24/2026
Format: TSV, MP3
Size: 8.35 MB
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This dataset is a machine-learning-ready subset of the INEL Nenets Corpus (Version 1.0), processed specifically for Automatic Speech Recognition (ASR) / Speech-to-Text (STT) training. It translates the detailed EXMARaLDA XML annotations into the standard tabular layout utilized by Mozilla Common Voice. The dataset comprises over 36 minutes of aligned supervised speech data (447 individual clips). It strictly populates the primary \'sentence\' column using the \'st\' tier (Cyrillic source transcription) to ensure orthographic accuracy, with demographic metadata included where available.
Licensing
Creative Commons Attribution Non Commercial Share Alike 4.0 International (CC-BY-NC-SA-4.0)
https://spdx.org/licenses/CC-BY-NC-SA-4.0.htmlRestrictions/Special Constraints
The source corpus (Budzisch, Josefina; Wagner-Nagy, Beáta. 2024. INEL Nenets Corpus. Version 1.0.) must be cited in all derivative works and research using this dataset.
Forbidden Usage
None
This dataset is a machine-learning-ready subset of the INEL Nenets Corpus (Version 1.0), processed specifically for Automatic Speech Recognition (ASR) / Speech-to-Text (STT) training.
Nenets (ISO 639-3: `yrk`) belongs to the Samoyedic branch of the Uralic language family. It is spoken from the Kanin Peninsula in Europe to the Taimyr Peninsula in Northwestern Siberia. There are two main lects represented: Tundra Nenets and Forest Nenets.
Language: Nenets (`yrk`)
Total Speakers: 1
Total Audio Clips: 447 sentences
Total Audio Duration: 00:36:53 (HH:MM:SS)
Audio Format: MP3
The dataset provides audio clips aligned at the sentence level alongside a `train.tsv` metadata file.
The `train.tsv` contains the following Common Voice conforming fields:
`client_id`: Unique speaker abbreviation.
`path`: The filename of the corresponding audio clip.
`sentence`: The primary transcribed text of the audio.
`age`: The calculated age of the speaker at the time of recording.
`gender`: `male` or `female`.
`accents`: Specific dialect information (e.g., Tundra or Forest dialects).
`locale`: Locale code (`yrk`).
To ensure the highest orthographic accuracy for training, this dataset strictly populates the primary `sentence` column using the `st` tier (Cyrillic source transcription) from the original EXMARaLDA files.
Note: To maintain a streamlined, single-task focus on Speech-to-Text modeling, extensive linguistic annotations such as morphological glossing and secondary translations (English, Russian) have been excluded from this specific audio dataset.
The following represents all unique characters encountered in the `sentence` column of this dataset. They are sorted by uppercase, then lowercase, and finally all other symbols:
А В Д И К Л М Н О П С Т Х Ч Ш Ю Я Ӈ x ă а б в г д е ж з и й к л м н о п р с т у ф х ц ч ш щ ы ь э ю я ё ӈ ӗ ӭ ԓ ! ( ) , - . : ? « » ̆ – ’ “ ” …
Created within the long-term INEL project ("Grammatical Descriptions, Corpora and Language Technology for Indigenous Northern Eurasian Languages").
License: CC BY-NC-SA 4.0
Required Citation: If you use this dataset in your research, training runs, or derivative works, please cite the source corpus as follows:
Budzisch, Josefina; Wagner-Nagy, Beáta. 2024. INEL Nenets Corpus. Version 1.0. Publication date 2024-12-31. https://hdl.handle.net/11022/0000-0007-FE37-E. Archived at Universität Hamburg. In: The INEL corpora of indigenous Northern Eurasian languages. https://hdl.handle.net/11022/0000-0007-F45A-1