--- language: - om license: cc-by-nc-4.0 task_categories: - automatic-speech-recognition pretty_name: Sagalee — Oromo ASR Dataset --- # Sagalee — Oromo ASR Dataset This is a verbatim upload of the [Sagalee](https://openslr.org/157/) 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](https://creativecommons.org/licenses/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](https://github.com/turinaf/sagalee) 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](https://creativecommons.org/licenses/by-nc/4.0/legalcode). ## 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](https://arxiv.org/abs/2502.00421) - Source: [OpenSLR 157](https://openslr.org/157/) - GitHub: [turinaf/sagalee](https://github.com/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} } ```