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Trelis
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cv-en-scripted-test-500

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Automatic Speech Recognition

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metadata

license: cc0-1.0
language:
  - en
task_categories:
  - automatic-speech-recognition
pretty_name: Common Voice English Scripted Test Set 500 (Trelis)

Common Voice English Scripted Test Set — 500 clips

n = 500 utterances · private eval set for ASR benchmarking

Source

Derived from Mozilla Common Voice Scripted Speech 25.0 — English (test split), downloaded via the Mozilla Data Collective API (dataset ID cmndapwry02jnmh07dyo46mot, 94 GB tarball).

Construction

Starting from the full CV 25.0 English test split (16,398 rows), a stratified 500-clip subset was produced using the same recipe as Trelis/cv-hi-test-500:

Step	Rule
Quality filter	`up_votes ≥ 2`, `down_votes = 0`
Duration filter	`0.5 s ≤ duration ≤ 25 s`
Speaker cap	max 4 clips per `client_id`
Stratification	Proportional allocation across duration buckets (0–3 s, 3–6 s, 6–10 s, 10–25 s)
Seed	42

Build script: merge-bench-baselines/scripts/build_cv_en_scripted.py

Columns

Column	Type	Description
`audio`	Audio bytes (MP3)	Speech recording
`transcription`	string	Reference text
`id`	string	CV clip path stem
`client_id`	string	Anonymised speaker hash
`duration`	float	Duration in seconds
`age` / `gender` / `accents`	string	Speaker metadata (may be empty)
`up_votes` / `down_votes`	int	Community quality votes

License

CC0 1.0 — Mozilla Common Voice audio and text are released into the public domain by contributors.