README.md

metadata

license: cc-by-4.0
language:
  - en
task_categories:
  - automatic-speech-recognition
pretty_name: Example Audio Sentences (format reference)
size_categories:
  - n<1K
tags:
  - reference
  - format-standard
  - hebrish
configs:
  - config_name: takes
    default: true
    data_files:
      - split: train
        path: data/train-*.parquet
  - config_name: sentences
    data_files:
      - split: train
        path: sentences/train.parquet

Example Audio Sentences

This is the Hebrish project's reference for the audio dataset format. It is the example a new audio dataset copies, and audio.schema.json beside it is the checkable form. The three rows are real takes of Daniel Rosehill copied from Read-Aloud-Voice-Sentences (recorded 2026-11-04), chosen because the sentences are neutral. The place block (location, location_name, location_note, latitude, longitude, location_accuracy_m) and notes are blank, as they are in any public reference row.

• Pair: Example-Sentence-Bank is the reference for the sentence type (text to read).
• Standard, column meanings, naming, checks and the list of live datasets that differ: docs/dataset-format-standard.md in the ASR-Training repo.
• Checker: python3 scripts/check_dataset_format.py meta/train.jsonl --type audio (ASR-Training repo, stdlib only; a .parquet also works with pyarrow installed).
• Card layout: docs/dataset-card-standard.md. This reference card is kept short on purpose.
• Website: hebrish.app

Tabs

One repo per topic (standard of 2026-11-06). sentences has every ground-truth sentence with a takes count, so takes = 0 lists what is unrecorded. takes has one row per recording with audio, joined on sentence_id. New takes only append; only sentences/*.parquet is rewritten to update a count.

Layout

data/train-<UTC timestamp>-<4 chars>.parquet with the audio embedded (FLAC, 48 kHz, 24-bit, mono); the split comes from the file name. meta/train.jsonl holds the same rows without audio (what the checker reads). audio.schema.json, this README. Name a real set <Topic>-Sentences.

Columns

Required in every row: audio (parquet), id, text, duration_s, sample_rate, bit_depth, audio_format, categories, target_terms, prompt_id, prompt_source, mode, speaker, speaker_id, speaker_gender, contributor, recorded_at, device, microphone, environment, transcript_status, pronunciation. Everything else is optional and typed in audio.schema.json; the rows here carry the full live column set so the optional ones are visible (null where unset). Column meanings are in the standard document.

pronunciation is a reading guide, [] by default, otherwise objects {term, say, note, status} with say a stress respelling (par-KAY) and status one of unreviewed, ai-reviewed, human-reviewed. It is not hebrew_pronunciation or pronunciation_variants, which record how this take was actually said.

Licence

CC-BY-4.0.