| --- |
| 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](https://mozilladatacollective.com/) 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](https://creativecommons.org/publicdomain/zero/1.0/) — Mozilla Common Voice audio and text are released into the public domain by contributors. |
|
|
