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XedriX/malagasy-nwt-bible

Malagasy NWT Dataset Dataset from the Malagasy New World Translation Bible (JW.org 2021). Format audio — 16 kHz mono WAV text — clean Malagasy transcript, digits converted to Malagasy words Speaker Information This dataset contains multiple speakers — several readers who each narrate different books or chapters of the Bible. Automatic speaker diarization and clustering was attempted using pyannote/speaker-diarization-3.1, but reliable speaker… See the full description on the dataset page: https://huggingface.co/datasets/XedriX/malagasy-nwt-bible.

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Dataset Card

Malagasy NWT Dataset

Dataset from the Malagasy New World Translation Bible (JW.org 2021).

Format

  • audio — 16 kHz mono WAV
  • text — clean Malagasy transcript, digits converted to Malagasy words

Speaker Information

This dataset contains multiple speakers — several readers who each narrate different books or chapters of the Bible. Automatic speaker diarization and clustering was attempted using pyannote/speaker-diarization-3.1, but reliable speaker identity assignment was not achievable due to:

  • All readers using the same formal liturgical reading style
  • Similar prosody, pace, and acoustic characteristics across readers
  • Short segment lengths (verse-level) providing limited acoustic context
  • Occasional within-segment speaker switches (quoted speech read by a different voice)

No speaker ID column is provided in this dataset.

Stats

  • Clips: ~21,900
  • Total duration: ~60 hours
  • Train split: ~20,800 clips (95%)
  • Test split: ~1,100 clips (5%)
  • Language: Malagasy (mg)
  • Sample rate: 16,000 Hz mono
  • Segmentation: verse-level, aligned via JW.org API timestamps
  • Transcript: clean text, digits converted to Malagasy words
  • Source: JW.org (NWT 2021)

Columns

ColumnTypeDescription
idstringUnique clip ID e.g. 01_Genesisy_001_v001
audioAudio16 kHz mono WAV
textstringMalagasy transcript
bookstringBible book folder name
chapterstringChapter prefix
verseintVerse number
duration_secfloatClip duration in seconds

Usage

python
from datasets import load_dataset

ds = load_dataset("XedriX/malagasy-nwt-bible")

Limitations

  • No speaker labels — automatic clustering was attempted but not reliable enough to include
  • Multi-speaker segments — some segments contain more than one voice (quoted speech read by a different reader)