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Tatoeba Kabyle Audio Dataset

A clean, standardized audio-text dataset for Kabyle (Taqbaylit) automatic speech recognition, extracted from the Tatoeba Project and rigorously orthographically corrected.

Dataset Description

This dataset contains 47,789 Kabyle sentences with audio recordings (~25.78 hours total) sourced from Tatoeba. All transcriptions have been standardized to use correct Kabyle Latin characters, replacing visually similar false friends from Greek, Cyrillic, and other Latin scripts that commonly contaminate Kabyle text corpora.

Character Standardization

Kabyle uses the following Latin characters in its standard orthography:

  • ɛ (U+025B) / Ɛ (U+0190) — open-mid front unrounded vowel
  • ɣ (U+0263) / Ɣ (U+0194) — voiced velar fricative
  • č (U+010D) / Č (U+010C) — voiceless postalveolar affricate
  • ǧ (U+01E7) / Ǧ (U+01E6) — voiced postalveolar affricate
  • (U+1E25), (U+1E0D), (U+1E5B), (U+1E6D), (U+1E63), (U+1E93) — emphatic/pharyngeal consonants

These are frequently confused with visually similar characters in raw web data. This dataset applies the following corrections:

False Friend Correct Kabyle Unicode Origin
ε (Greek epsilon) ɛ U+025B Greek
Σ (Greek sigma) Ɛ U+0190 Greek
γ (Greek gamma) ɣ U+0263 Greek
Γ (Greek Gamma) Ɣ U+0194 Greek
Ԑ (Cyrillic rev. Ze) Ɛ U+0190 Cyrillic
ԑ (Cyrillic rev. ze) ɛ U+025B Cyrillic
З (Cyrillic Ze) Ɛ U+0190 Cyrillic
з (Cyrillic ze) ɛ U+025B Cyrillic
Ǝ (Latin reversed E) Ɛ U+0190 Latin
ǝ (Latin turned e) ɛ U+025B Latin
ż / Ż (Polish) ẓ / Ẓ U+1E93 / U+1E92 Latin
ṙ / Ṙ (Irish) ṛ / Ṛ U+1E5B / U+1E5A Latin
ṫ / Ṫ ṭ / Ṭ U+1E6D / U+1E6C Latin
ṡ / Ṡ (Irish) ṣ / Ṣ U+1E63 / U+1E62 Latin
ḋ / Ḋ (Irish) ḍ / Ḍ U+1E0D / U+1E0C Latin
ḣ / Ḣ ḥ / Ḥ U+1E25 / U+1E24 Latin
ċ / Ċ (Maltese) č / Č U+010D / U+010C Latin
ć / Ć (Polish/Croatian) č / Č U+010D / U+010C Latin
ç / Ç (French) č / Č U+010D / U+010C Latin
ĉ / Ĉ (Esperanto) č / Č U+010D / U+010C Latin
ġ / Ġ (Maltese) ǧ / Ǧ U+01E7 / U+01E6 Latin
ǥ / Ǥ (Skolt Sami) ǧ / Ǧ U+01E7 / U+01E6 Latin
ğ / Ğ (Turkish) ǧ / Ǧ U+01E7 / U+01E6 Latin
ĝ / Ĝ (Esperanto) ǧ / Ǧ U+01E7 / U+01E6 Latin

Additionally, Unicode NFC normalization is applied to resolve precomposed vs. decomposed forms (e.g., z + combining dot below → ).

3,643 sentences (7.62%) required at least one character fix.

Audio Statistics

Metric Value
Total clips 47,789
Total duration 25.78 hours
Sampling rate 16 kHz mono
Mean duration 1.94 seconds
Median duration 1.82 seconds
Min duration 0.73 seconds
Max duration 12.65 seconds

The audio consists of short, read-aloud sentences typical of the Tatoeba project. The tight duration distribution (most clips are 1–3 seconds) makes this dataset well-suited for Wav2Vec 2.0 CTC training with minimal memory overhead.

File Sizes

Split Size
train ~807 MB
validation ~43 MB
Total download ~803 MB
Total dataset ~851 MB

Splits

Split Examples
train 45,399
validation 2,390

Features

  • sentence_id: Tatoeba sentence ID
  • text_raw: Original transcription from Tatoeba (before cleaning)
  • text: Cleaned, standardized Kabyle transcription
  • audio: Audio waveform (16 kHz, mono)
  • character_fixed: Boolean flag indicating whether a false-friend fix was applied

Usage

from datasets import load_dataset

ds = load_dataset("boffire/tatoeba-kabyle-audio")
sample = ds["train"][0]
print(sample["text"])
# → standardized Kabyle sentence

Citation

If you use this dataset, please cite the Tatoeba Project:

@misc{tatoeba,
  title = {Tatoeba: Collection of sentences and translations},
  howpublished = {\url{https://tatoeba.org}},
}

License

Audio files and sentences from Tatoeba are licensed under CC BY 4.0 (or compatible individual licenses as noted in the original Tatoeba metadata).

Acknowledgments

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