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hadamard-2/sagalee

Sagalee — Oromo ASR Dataset This is a verbatim upload of the Sagalee dataset, an open-source automatic speech recognition dataset for the Oromo language, originally released by Turi Abu et al. and accepted at ICASSP 2025. License notice: This dataset is released under CC BY-NC 4.0 — use for commercial purposes is not permitted. Subset Single subset orm (Oromo, ISO 639-2). No subset needed for single-language datasets. Splits Split Speakers… See the full description on the dataset page: https://huggingface.co/datasets/hadamard-2/sagalee.

sourceHugging Facecc-by-nc-4.0updated 7mo agoView on Hugging Face

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Dataset Card

Sagalee — Oromo ASR Dataset

This is a verbatim upload of the Sagalee dataset, an open-source automatic speech recognition dataset for the Oromo language, originally released by Turi Abu et al. and accepted at ICASSP 2025.

License notice: This dataset is released under CC BY-NC 4.0 — use for commercial purposes is not permitted.

Subset

Single subset orm (Oromo, ISO 639-2). No subset needed for single-language datasets.

Splits

Split	Speakers	Description
`train`	259	Training split
`dev`	12	Development split
`test`	8	Test split

Usage

python

from datasets import load_dataset

ds = load_dataset("hadamard-2/sagalee", "orm")
train = load_dataset("hadamard-2/sagalee", "orm", split="train")

Schema

Column	Type	Description
`id`	string	Unique utterance identifier (e.g. `sagalee_SPKR014_007`)
`speaker_id`	string	Speaker identifier (e.g. `SPKR014`)
`transcription`	string	Text transcript of the audio
`language`	string	ISO 639-2 language code (`orm`)
`gender`	string	Speaker gender (`Male` or `Female`)
`age_group`	string	Self-declared age group of the speaker (e.g. `17-24`, `25-32`)
`dialect`	string	Self-declared Oromo dialect of the speaker (e.g. `Wallagga-Maccaa`, `Arsii-Baale`)
`audio`	Audio	Original audio at 24kHz

Note: Column descriptions reflect our best understanding from the official dataset documentation and direct inspection. We recommend cross-referencing with the official repository for authoritative definitions.

Audio

Audio is stored as embedded binary at the original 24kHz sampling rate. No resampling has been applied. No sampling rate metadata has been declared in the parquet files, as this is a verbatim archival upload and we did not want to risk incorrect metadata.

Data Quality Notes

Four duplicate entries were found in speaker_metadata.csv:

Speaker	Issue
`SPKR174`	Exact duplicate row
`SPKR036`	Exact duplicate row
`SPKR045`	Exact duplicate row
`SPKR032`	Conflicting metadata — same speaker ID with different `age_group` and `dialect` values

For all cases the first occurrence was kept. SPKR032's conflicting metadata is a known data quality issue in the original release.

Dataset Statistics

—Total: ~100 hours of speech
—Speakers: 283 (150 Male, 133 Female)
—Collection: Crowdsourced via mobile app
—Domain: Read speech, clean and noisy environments
—Language: Afaan Oromoo (Oromo), widely spoken in Ethiopia and neighboring regions

License

CC BY-NC 4.0 International. Use for non-commercial purposes only. Full license here.

Attribution

Original dataset collected and released by Turi Abu, Ying Shi, Thomas Fang Zheng, and Dong Wang.

—Paper: Sagalee: an Open Source Automatic Speech Recognition Dataset for Oromo Language
—Source: OpenSLR 157
—GitHub: turinaf/sagalee

Citation

bibtex

@INPROCEEDINGS{10890761,
  author={Abu, Turi and Shi, Ying and Zheng, Thomas Fang and Wang, Dong},
  booktitle={ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title={Sagalee: an Open Source Automatic Speech Recognition Dataset for Oromo Language},
  year={2025},
  pages={1-5},
  doi={10.1109/ICASSP49660.2025.10890761}
}