Datasets:
File size: 8,126 Bytes
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---
dataset_name: am-pranav/stt-unified-bench
pretty_name: STT Unified Mini-Bench
task_categories:
- automatic-speech-recognition
task_ids:
- speech-recognition
license: other
size_categories:
- n<10K
configs:
- config_name: assamese
data_files:
- split: val
path: assamese/val-*
- config_name: bodo
data_files:
- split: val
path: bodo/val-*
- config_name: dogri
data_files:
- split: val
path: dogri/val-*
- config_name: en_indian_accent
data_files:
- split: val
path: en_indian_accent/val-*
- config_name: gujarati
data_files:
- split: val
path: gujarati/val-*
- config_name: hindi
data_files:
- split: val
path: hindi/val-*
- config_name: kannada
data_files:
- split: val
path: kannada/val-*
- config_name: kashmiri
data_files:
- split: val
path: kashmiri/val-*
- config_name: konkani
data_files:
- split: val
path: konkani/val-*
- config_name: maithili
data_files:
- split: val
path: maithili/val-*
- config_name: malayalam
data_files:
- split: val
path: malayalam/val-*
- config_name: manipuri
data_files:
- split: val
path: manipuri/val-*
- config_name: marathi
data_files:
- split: val
path: marathi/val-*
- config_name: nepali
data_files:
- split: val
path: nepali/val-*
- config_name: odia
data_files:
- split: val
path: odia/val-*
- config_name: punjabi
data_files:
- split: val
path: punjabi/val-*
- config_name: sanskrit
data_files:
- split: val
path: sanskrit/val-*
dataset_info:
- config_name: assamese
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
decode: false
- name: text
dtype: string
- name: source
dtype: string
- name: id
dtype: string
splits:
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num_bytes: 186681046.0
num_examples: 1000
download_size: 182177487
dataset_size: 186681046.0
- config_name: bodo
features:
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dtype:
audio:
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decode: false
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dtype: string
- name: source
dtype: string
- name: id
dtype: string
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num_examples: 1000
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- config_name: dogri
features:
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dtype:
audio:
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decode: false
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dtype: string
- name: source
dtype: string
- name: id
dtype: string
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num_examples: 1000
download_size: 243221303
dataset_size: 250328972.0
- config_name: en_indian_accent
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decode: false
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dtype: string
- name: id
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num_examples: 1000
download_size: 163516587
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- config_name: gujarati
features:
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dtype:
audio:
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decode: false
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dtype: string
- name: source
dtype: string
- name: id
dtype: string
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num_examples: 1000
download_size: 231117224
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- config_name: hindi
features:
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dtype:
audio:
sampling_rate: 16000
decode: false
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dtype: string
- name: source
dtype: string
- name: id
dtype: string
splits:
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num_examples: 1000
download_size: 163153426
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- config_name: kannada
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
decode: false
- name: text
dtype: string
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dtype: string
- name: id
dtype: string
splits:
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- config_name: kashmiri
features:
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decode: false
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- config_name: konkani
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- config_name: maithili
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decode: false
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splits:
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num_examples: 1000
download_size: 214156233
dataset_size: 218230040.0
- config_name: malayalam
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
decode: false
- name: text
dtype: string
- name: source
dtype: string
- name: id
dtype: string
splits:
- name: val
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num_examples: 1000
download_size: 159170882
dataset_size: 166304661.0
- config_name: manipuri
features:
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decode: false
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- config_name: marathi
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decode: false
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- config_name: nepali
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decode: false
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- config_name: odia
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decode: false
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dtype: string
- name: id
dtype: string
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num_examples: 1000
download_size: 137556904
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- config_name: punjabi
features:
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decode: false
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- name: source
dtype: string
- name: id
dtype: string
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num_examples: 1000
download_size: 186733812
dataset_size: 191888007.0
- config_name: sanskrit
features:
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dtype:
audio:
sampling_rate: 16000
decode: false
- name: text
dtype: string
- name: source
dtype: string
- name: id
dtype: string
splits:
- name: val
num_bytes: 199595923.0
num_examples: 1000
download_size: 194073760
dataset_size: 199595923.0
---
# am-pranav/stt-unified-bench
Private, language/locale-partitioned mini-benchmark for STT models.
Each **subset is a dataset config** (e.g., `en`, `de`, `en_indian_accent`, `hi_in`, `en_us`) with a single split **`val`**.
Audio is staged at 16 kHz and stored in-repo for reproducibility.
**Schema**
- `audio` : `Audio(sampling_rate=16000, decode=False)`
- `text` : reference transcription
- `lang` : implied by dataset config name
- `source` : upstream dataset tag
- `id` : source-stable id
> ⚠️ For internal evaluation only. Respect upstream licenses.
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