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README.md
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dtype: string
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- name: source
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dtype: string
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- name: id
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dtype: string
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splits:
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- name: val
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num_bytes: 23446101.0
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num_examples: 65
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download_size: 22862819
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dataset_size: 23446101.0
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- config_name: en
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features:
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- name: audio
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dtype:
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audio:
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sampling_rate: 16000
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decode: false
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- name: text
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dtype: string
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- name: val
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num_bytes: 93102084.0
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num_examples: 340
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download_size: 92408500
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dataset_size: 93102084.0
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- config_name: es
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features:
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- name: audio
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dtype:
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audio:
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sampling_rate: 16000
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decode: false
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- name: text
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dtype: string
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- name: source
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- name: id
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dtype: string
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- name: val
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num_bytes: 28482071.0
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num_examples: 65
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download_size: 28309714
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dataset_size: 28482071.0
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- config_name: fr
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features:
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- name: audio
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dtype:
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audio:
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sampling_rate: 16000
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decode: false
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- name: text
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dtype: string
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- name: source
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dtype: string
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- name: id
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dtype: string
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splits:
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- name: val
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num_bytes: 27078815.0
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num_examples: 65
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download_size: 26677592
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dataset_size: 27078815.0
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- config_name: it
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features:
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- name: audio
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dtype:
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audio:
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sampling_rate: 16000
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decode: false
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- name: text
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dtype: string
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- name: source
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dtype: string
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splits:
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- name: val
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num_bytes: 28254503.0
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num_examples: 65
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download_size: 28073653
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dataset_size: 28254503.0
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- config_name: pt
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features:
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- name: audio
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dtype:
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audio:
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sampling_rate: 16000
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decode: false
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dtype: string
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splits:
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- name: val
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num_bytes: 12567819.0
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num_examples: 25
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download_size: 12360734
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dataset_size: 12567819.0
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configs:
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- config_name: de
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data_files:
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- split: val
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path: de/val-*
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- config_name: en
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data_files:
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- split: val
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path: en/val-*
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- config_name: es
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data_files:
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- split: val
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path: es/val-*
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- config_name: fr
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data_files:
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- split: val
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path: fr/val-*
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- config_name: it
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data_files:
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- split: val
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path: it/val-*
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- config_name: pt
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data_files:
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- split: val
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path: pt/val-*
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---
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---
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dataset_name: am-pranav/stt-unified-bench
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pretty_name: "STT Unified Mini-Bench"
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task_categories:
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- automatic-speech-recognition
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task_ids:
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- speech-recognition
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license: other
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size_categories:
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- n<10K
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---
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# am-pranav/stt-unified-bench
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Private, language/locale-partitioned mini-benchmark for STT models.
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Each **subset is a dataset config** (e.g., `en`, `de`, `en_indian_accent`, `hi_in`, `en_us`) with a single split **`val`**.
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Audio is staged at 16 kHz and stored in-repo for reproducibility.
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**Schema**
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- `audio` : `Audio(sampling_rate=16000, decode=False)`
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- `text` : reference transcription
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- `lang` : implied by dataset config name
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- `source` : upstream dataset tag
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- `id` : source-stable id
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> ⚠️ For internal evaluation only. Respect upstream licenses.
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