Datasets:
Tasks:
Automatic Speech Recognition
Formats:
parquet
Languages:
multilingual
Size:
1K - 10K
License:
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -491,21 +491,29 @@ configs:
|
|
| 491 |
|
| 492 |
# stt-sampler-v1
|
| 493 |
|
| 494 |
-
A
|
| 495 |
[OVOS Plugin Arena](https://github.com/OpenVoiceOS/ovos-plugin-arena)
|
| 496 |
leaderboards. It gives every registered STT locale immediate breadth-first
|
| 497 |
-
coverage —
|
| 498 |
-
|
| 499 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 500 |
|
| 501 |
Clips are selected deterministically: each source split is sorted by its
|
| 502 |
-
own sample id, then strided (`index = i * floor(n /
|
| 503 |
-
|
| 504 |
-
corpus's first few rows (which tend to share one
|
| 505 |
-
is used. Unavailable/corrupt rows are skipped by
|
| 506 |
-
candidate in sorted order, deterministically.
|
|
|
|
|
|
|
|
|
|
| 507 |
|
| 508 |
-
Total clips: **
|
| 509 |
|
| 510 |
## Sources and licenses
|
| 511 |
|
|
@@ -520,45 +528,46 @@ Total clips: **224**
|
|
| 520 |
| column | type | description |
|
| 521 |
|---|---|---|
|
| 522 |
| `sample_id` | str | `<source>/<orig_id>` — source-tagged, traceable back to the origin row |
|
| 523 |
-
| `audio` | `Audio` | embedded audio,
|
| 524 |
| `transcript` | str | reference transcript |
|
| 525 |
| `lang` | str | BCP-47 locale tag |
|
| 526 |
| `domain` | str | `banking` / `assistant` / `read-speech` |
|
| 527 |
| `source_dataset` | str | origin HF dataset id |
|
| 528 |
|
| 529 |
-
|
| 530 |
-
runner can resolve one HF split per language
|
|
|
|
| 531 |
|
| 532 |
## Per-(source, language) counts
|
| 533 |
|
| 534 |
| source_dataset | lang | domain | n |
|
| 535 |
|---|---|---|---|
|
| 536 |
-
| FBK-MT/Speech-MASSIVE-test | ar-SA | assistant |
|
| 537 |
-
| FBK-MT/Speech-MASSIVE-test | de-DE | assistant |
|
| 538 |
-
| FBK-MT/Speech-MASSIVE-test | es-ES | assistant |
|
| 539 |
-
| FBK-MT/Speech-MASSIVE-test | fr-FR | assistant |
|
| 540 |
-
| FBK-MT/Speech-MASSIVE-test | hu-HU | assistant |
|
| 541 |
-
| FBK-MT/Speech-MASSIVE-test | ko-KR | assistant |
|
| 542 |
-
| FBK-MT/Speech-MASSIVE-test | nl-NL | assistant |
|
| 543 |
-
| FBK-MT/Speech-MASSIVE-test | pl-PL | assistant |
|
| 544 |
-
| FBK-MT/Speech-MASSIVE-test | pt-PT | assistant |
|
| 545 |
-
| FBK-MT/Speech-MASSIVE-test | ru-RU | assistant |
|
| 546 |
-
| FBK-MT/Speech-MASSIVE-test | tr-TR | assistant |
|
| 547 |
-
| FBK-MT/Speech-MASSIVE-test | vi-VN | assistant |
|
| 548 |
-
| PolyAI/minds14 | cs-CZ | banking |
|
| 549 |
-
| PolyAI/minds14 | de-DE | banking |
|
| 550 |
-
| PolyAI/minds14 | en-AU | banking |
|
| 551 |
-
| PolyAI/minds14 | en-GB | banking |
|
| 552 |
-
| PolyAI/minds14 | en-US | banking |
|
| 553 |
-
| PolyAI/minds14 | es-ES | banking |
|
| 554 |
-
| PolyAI/minds14 | fr-FR | banking |
|
| 555 |
-
| PolyAI/minds14 | it-IT | banking |
|
| 556 |
-
| PolyAI/minds14 | ko-KR | banking |
|
| 557 |
-
| PolyAI/minds14 | nl-NL | banking |
|
| 558 |
-
| PolyAI/minds14 | pl-PL | banking |
|
| 559 |
-
| PolyAI/minds14 | pt-PT | banking |
|
| 560 |
-
| PolyAI/minds14 | ru-RU | banking |
|
| 561 |
-
| PolyAI/minds14 | zh-CN | banking |
|
| 562 |
-
| google/fleurs | ca-ES | read-speech |
|
| 563 |
-
| google/fleurs | gl-ES | read-speech |
|
| 564 |
|
|
|
|
| 491 |
|
| 492 |
# 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).
|
| 500 |
+
|
| 501 |
+
Target is 100 clips per language. Locales covered by a single source get
|
| 502 |
+
all 100 from that source; locales covered by two sources (de-DE, es-ES,
|
| 503 |
+
fr-FR, ko-KR, nl-NL, pl-PL, pt-PT, ru-RU) get 50 from each so no single
|
| 504 |
+
source dominates a shared locale.
|
| 505 |
|
| 506 |
Clips are selected deterministically: each source split is sorted by its
|
| 507 |
+
own sample id, then strided (`index = i * floor(n / k)` for i in 0..k-1,
|
| 508 |
+
k=50 or 100) so the picks spread across speakers/sessions instead of
|
| 509 |
+
clustering on the corpus's first few rows (which tend to share one
|
| 510 |
+
speaker). No randomness is used. Unavailable/corrupt rows are skipped by
|
| 511 |
+
advancing to the next candidate in sorted order, deterministically.
|
| 512 |
+
|
| 513 |
+
Audio is resampled to 16kHz mono float32 (MInDS-14 is native 8kHz;
|
| 514 |
+
Speech-MASSIVE and FLEURS are native 16kHz).
|
| 515 |
|
| 516 |
+
Total clips: **2000**
|
| 517 |
|
| 518 |
## Sources and licenses
|
| 519 |
|
|
|
|
| 528 |
| column | type | description |
|
| 529 |
|---|---|---|
|
| 530 |
| `sample_id` | str | `<source>/<orig_id>` — source-tagged, traceable back to the origin row |
|
| 531 |
+
| `audio` | `Audio` | embedded audio, resampled to 16kHz mono float32 |
|
| 532 |
| `transcript` | str | reference transcript |
|
| 533 |
| `lang` | str | BCP-47 locale tag |
|
| 534 |
| `domain` | str | `banking` / `assistant` / `read-speech` |
|
| 535 |
| `source_dataset` | str | origin HF dataset id |
|
| 536 |
|
| 537 |
+
Stored as parquet with embedded audio, split by `lang` config (20
|
| 538 |
+
configs) so the arena runner can resolve one HF split per language via
|
| 539 |
+
`source.subset="{lang}"` in the registry entry.
|
| 540 |
|
| 541 |
## Per-(source, language) counts
|
| 542 |
|
| 543 |
| source_dataset | lang | domain | n |
|
| 544 |
|---|---|---|---|
|
| 545 |
+
| FBK-MT/Speech-MASSIVE-test | ar-SA | assistant | 100 |
|
| 546 |
+
| FBK-MT/Speech-MASSIVE-test | de-DE | assistant | 50 |
|
| 547 |
+
| FBK-MT/Speech-MASSIVE-test | es-ES | assistant | 50 |
|
| 548 |
+
| FBK-MT/Speech-MASSIVE-test | fr-FR | assistant | 50 |
|
| 549 |
+
| FBK-MT/Speech-MASSIVE-test | hu-HU | assistant | 100 |
|
| 550 |
+
| FBK-MT/Speech-MASSIVE-test | ko-KR | assistant | 50 |
|
| 551 |
+
| FBK-MT/Speech-MASSIVE-test | nl-NL | assistant | 50 |
|
| 552 |
+
| FBK-MT/Speech-MASSIVE-test | pl-PL | assistant | 50 |
|
| 553 |
+
| FBK-MT/Speech-MASSIVE-test | pt-PT | assistant | 50 |
|
| 554 |
+
| FBK-MT/Speech-MASSIVE-test | ru-RU | assistant | 50 |
|
| 555 |
+
| FBK-MT/Speech-MASSIVE-test | tr-TR | assistant | 100 |
|
| 556 |
+
| FBK-MT/Speech-MASSIVE-test | vi-VN | assistant | 100 |
|
| 557 |
+
| PolyAI/minds14 | cs-CZ | banking | 100 |
|
| 558 |
+
| PolyAI/minds14 | de-DE | banking | 50 |
|
| 559 |
+
| PolyAI/minds14 | en-AU | banking | 100 |
|
| 560 |
+
| PolyAI/minds14 | en-GB | banking | 100 |
|
| 561 |
+
| PolyAI/minds14 | en-US | banking | 100 |
|
| 562 |
+
| PolyAI/minds14 | es-ES | banking | 50 |
|
| 563 |
+
| PolyAI/minds14 | fr-FR | banking | 50 |
|
| 564 |
+
| PolyAI/minds14 | it-IT | banking | 100 |
|
| 565 |
+
| PolyAI/minds14 | ko-KR | banking | 50 |
|
| 566 |
+
| PolyAI/minds14 | nl-NL | banking | 50 |
|
| 567 |
+
| PolyAI/minds14 | pl-PL | banking | 50 |
|
| 568 |
+
| PolyAI/minds14 | pt-PT | banking | 50 |
|
| 569 |
+
| PolyAI/minds14 | ru-RU | banking | 50 |
|
| 570 |
+
| PolyAI/minds14 | zh-CN | banking | 100 |
|
| 571 |
+
| google/fleurs | ca-ES | read-speech | 100 |
|
| 572 |
+
| google/fleurs | gl-ES | read-speech | 100 |
|
| 573 |
|