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@@ -491,21 +491,29 @@ configs:
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  # stt-sampler-v1
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- A small, balanced, deterministic multi-lingual STT eval sample for
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  [OVOS Plugin Arena](https://github.com/OpenVoiceOS/ovos-plugin-arena)
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  leaderboards. It gives every registered STT locale immediate breadth-first
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- coverage — 8 clips per (source, language) pair — instead of waiting for a
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- full run over the much larger per-locale corpora the arena also benchmarks
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- against (MInDS-14, Speech-MASSIVE, FLEURS).
 
 
 
 
 
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  Clips are selected deterministically: each source split is sorted by its
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- own sample id, then strided (`index = i * floor(n / 8)` for i in 0..7) so
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- the 8 picks spread across speakers/sessions instead of clustering on the
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- corpus's first few rows (which tend to share one speaker). No randomness
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- is used. Unavailable/corrupt rows are skipped by advancing to the next
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- candidate in sorted order, deterministically.
 
 
 
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- Total clips: **224**
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  ## Sources and licenses
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@@ -520,45 +528,46 @@ Total clips: **224**
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  | column | type | description |
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  |---|---|---|
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  | `sample_id` | str | `<source>/<orig_id>` — source-tagged, traceable back to the origin row |
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- | `audio` | `Audio` | embedded audio, kept at the source's native sampling rate |
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  | `transcript` | str | reference transcript |
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  | `lang` | str | BCP-47 locale tag |
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  | `domain` | str | `banking` / `assistant` / `read-speech` |
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  | `source_dataset` | str | origin HF dataset id |
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- Audio is resampled to 16kHz mono float32. Stored as parquet with embedded audio, split by `lang` config so the arena
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- runner can resolve one HF split per language.
 
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  ## Per-(source, language) counts
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  | source_dataset | lang | domain | n |
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  |---|---|---|---|
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- | FBK-MT/Speech-MASSIVE-test | ar-SA | assistant | 8 |
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- | FBK-MT/Speech-MASSIVE-test | de-DE | assistant | 8 |
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- | FBK-MT/Speech-MASSIVE-test | es-ES | assistant | 8 |
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- | FBK-MT/Speech-MASSIVE-test | fr-FR | assistant | 8 |
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- | FBK-MT/Speech-MASSIVE-test | hu-HU | assistant | 8 |
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- | FBK-MT/Speech-MASSIVE-test | ko-KR | assistant | 8 |
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- | FBK-MT/Speech-MASSIVE-test | nl-NL | assistant | 8 |
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- | FBK-MT/Speech-MASSIVE-test | pl-PL | assistant | 8 |
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- | FBK-MT/Speech-MASSIVE-test | pt-PT | assistant | 8 |
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- | FBK-MT/Speech-MASSIVE-test | ru-RU | assistant | 8 |
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- | FBK-MT/Speech-MASSIVE-test | tr-TR | assistant | 8 |
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- | FBK-MT/Speech-MASSIVE-test | vi-VN | assistant | 8 |
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- | PolyAI/minds14 | cs-CZ | banking | 8 |
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- | PolyAI/minds14 | de-DE | banking | 8 |
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- | PolyAI/minds14 | en-AU | banking | 8 |
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- | PolyAI/minds14 | en-GB | banking | 8 |
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- | PolyAI/minds14 | en-US | banking | 8 |
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- | PolyAI/minds14 | es-ES | banking | 8 |
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- | PolyAI/minds14 | fr-FR | banking | 8 |
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- | PolyAI/minds14 | it-IT | banking | 8 |
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- | PolyAI/minds14 | ko-KR | banking | 8 |
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- | PolyAI/minds14 | nl-NL | banking | 8 |
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- | PolyAI/minds14 | pl-PL | banking | 8 |
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- | PolyAI/minds14 | pt-PT | banking | 8 |
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- | PolyAI/minds14 | ru-RU | banking | 8 |
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- | PolyAI/minds14 | zh-CN | banking | 8 |
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- | google/fleurs | ca-ES | read-speech | 8 |
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- | google/fleurs | gl-ES | read-speech | 8 |
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  # stt-sampler-v1
493
 
494
+ A balanced, deterministic multi-lingual STT eval sample for
495
  [OVOS Plugin Arena](https://github.com/OpenVoiceOS/ovos-plugin-arena)
496
  leaderboards. It gives every registered STT locale immediate breadth-first
497
+ coverage — 100 clips per language — instead of waiting for a full run over
498
+ the much larger per-locale corpora the arena also benchmarks against
499
+ (MInDS-14, Speech-MASSIVE, FLEURS).
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+
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+ Target is 100 clips per language. Locales covered by a single source get
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+ all 100 from that source; locales covered by two sources (de-DE, es-ES,
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+ fr-FR, ko-KR, nl-NL, pl-PL, pt-PT, ru-RU) get 50 from each so no single
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+ source dominates a shared locale.
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  Clips are selected deterministically: each source split is sorted by its
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+ own sample id, then strided (`index = i * floor(n / k)` for i in 0..k-1,
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+ k=50 or 100) so the picks spread across speakers/sessions instead of
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+ clustering on the corpus's first few rows (which tend to share one
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+ speaker). No randomness is used. Unavailable/corrupt rows are skipped by
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+ advancing to the next candidate in sorted order, deterministically.
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+
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+ Audio is resampled to 16kHz mono float32 (MInDS-14 is native 8kHz;
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+ Speech-MASSIVE and FLEURS are native 16kHz).
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+ Total clips: **2000**
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  ## Sources and licenses
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  | column | type | description |
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  |---|---|---|
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  | `sample_id` | str | `<source>/<orig_id>` — source-tagged, traceable back to the origin row |
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+ | `audio` | `Audio` | embedded audio, resampled to 16kHz mono float32 |
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  | `transcript` | str | reference transcript |
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  | `lang` | str | BCP-47 locale tag |
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  | `domain` | str | `banking` / `assistant` / `read-speech` |
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  | `source_dataset` | str | origin HF dataset id |
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+ Stored as parquet with embedded audio, split by `lang` config (20
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+ configs) so the arena runner can resolve one HF split per language via
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+ `source.subset="{lang}"` in the registry entry.
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  ## Per-(source, language) counts
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  | source_dataset | lang | domain | n |
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  |---|---|---|---|
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+ | FBK-MT/Speech-MASSIVE-test | ar-SA | assistant | 100 |
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+ | FBK-MT/Speech-MASSIVE-test | de-DE | assistant | 50 |
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+ | FBK-MT/Speech-MASSIVE-test | es-ES | assistant | 50 |
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+ | FBK-MT/Speech-MASSIVE-test | fr-FR | assistant | 50 |
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+ | FBK-MT/Speech-MASSIVE-test | hu-HU | assistant | 100 |
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+ | FBK-MT/Speech-MASSIVE-test | ko-KR | assistant | 50 |
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+ | FBK-MT/Speech-MASSIVE-test | nl-NL | assistant | 50 |
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+ | FBK-MT/Speech-MASSIVE-test | pl-PL | assistant | 50 |
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+ | FBK-MT/Speech-MASSIVE-test | pt-PT | assistant | 50 |
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+ | FBK-MT/Speech-MASSIVE-test | ru-RU | assistant | 50 |
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+ | FBK-MT/Speech-MASSIVE-test | tr-TR | assistant | 100 |
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+ | FBK-MT/Speech-MASSIVE-test | vi-VN | assistant | 100 |
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+ | PolyAI/minds14 | cs-CZ | banking | 100 |
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+ | PolyAI/minds14 | de-DE | banking | 50 |
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+ | PolyAI/minds14 | en-AU | banking | 100 |
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+ | PolyAI/minds14 | en-GB | banking | 100 |
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+ | PolyAI/minds14 | en-US | banking | 100 |
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+ | PolyAI/minds14 | es-ES | banking | 50 |
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+ | PolyAI/minds14 | fr-FR | banking | 50 |
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+ | PolyAI/minds14 | it-IT | banking | 100 |
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+ | PolyAI/minds14 | ko-KR | banking | 50 |
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+ | PolyAI/minds14 | nl-NL | banking | 50 |
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+ | PolyAI/minds14 | pl-PL | banking | 50 |
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+ | PolyAI/minds14 | pt-PT | banking | 50 |
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+ | PolyAI/minds14 | ru-RU | banking | 50 |
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+ | PolyAI/minds14 | zh-CN | banking | 100 |
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+ | google/fleurs | ca-ES | read-speech | 100 |
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+ | google/fleurs | gl-ES | read-speech | 100 |
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