Datasets:
metadata
language:
- as
- awa
- bho
- brx
- doi
- grt
- ks
- kok
- kru
- mai
- mni
- mwr
- ne
- or
- sat
- sd
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
pretty_name: Indic Dialect ASR
size_categories:
- 1M<n<10M
dataset_info:
- config_name: bhojpuri
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
- name: language
dtype: string
- name: source
dtype: string
splits:
- name: train
num_bytes: 27960185475.376
num_examples: 95672
download_size: 16621044137
dataset_size: 27960185475.376
- config_name: chhattisgarhi
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
- name: language
dtype: string
- name: source
dtype: string
splits:
- name: train
num_bytes: 23497108435.004
num_examples: 85793
download_size: 19890873718
dataset_size: 23497108435.004
- config_name: harouti
features:
- name: audio
dtype: audio
- name: sentence
dtype: string
- name: language
dtype: string
- name: source
dtype: string
splits:
- name: train
num_examples: 11
- config_name: magahi
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
- name: language
dtype: string
- name: source
dtype: string
splits:
- name: train
num_bytes: 19938507749
num_examples: 95275
download_size: 17916848914
dataset_size: 19938507749
- config_name: rajasthani
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
- name: language
dtype: string
- name: source
dtype: string
splits:
- name: train
num_bytes: 2467499534.712
num_examples: 12208
download_size: 2832188901
dataset_size: 2467499534.712
default_config_name: harouti
configs:
- config_name: assamese
data_files:
- split: train
path: assamese/train-*.parquet
- config_name: awadhi
data_files:
- split: train
path: awadhi/train-*.parquet
- config_name: bagri
data_files:
- split: train
path: bagri/train-*.parquet
- config_name: bhili
data_files:
- split: train
path: bhili/train-*.parquet
- config_name: bhojpuri
data_files:
- split: train
path: bhojpuri/train-*
- config_name: bodo
data_files:
- split: train
path: bodo/train-*.parquet
- config_name: braj
data_files:
- split: train
path: braj/train-*.parquet
- config_name: bundeli
data_files:
- split: train
path: bundeli/train-*.parquet
- config_name: chhattisgarhi
data_files:
- split: train
path: chhattisgarhi/train-*
- config_name: dogri
data_files:
- split: train
path: dogri/train-*.parquet
- config_name: garhwali
data_files:
- split: train
path: garhwali/train-*.parquet
- config_name: garo
data_files:
- split: train
path: garo/train-*.parquet
- config_name: harouti
data_files:
- split: train
path: harouti/train-*.parquet
- config_name: haryanvi
data_files:
- split: train
path: haryanvi/train-*.parquet
- config_name: kangri
data_files:
- split: train
path: kangri/train-*.parquet
- config_name: kashmiri
data_files:
- split: train
path: kashmiri/train-*.parquet
- config_name: konkani
data_files:
- split: train
path: konkani/train-*.parquet
- config_name: kumaoni
data_files:
- split: train
path: kumaoni/train-*.parquet
- config_name: kurukh
data_files:
- split: train
path: kurukh/train-*.parquet
- config_name: magahi
data_files:
- split: train
path: magahi/train-*
- config_name: maithili
data_files:
- split: train
path: maithili/train-*.parquet
- config_name: manipuri
data_files:
- split: train
path: manipuri/train-*.parquet
- config_name: marwadi
data_files:
- split: train
path: marwadi/train-*.parquet
- config_name: nepali
data_files:
- split: train
path: nepali/train-*.parquet
- config_name: nimadi
data_files:
- split: train
path: nimadi/train-*.parquet
- config_name: odia
data_files:
- split: train
path: odia/train-*.parquet
- config_name: pahari_mahasui
data_files:
- split: train
path: pahari_mahasui/train-*.parquet
- config_name: rajasthani
data_files:
- split: train
path: rajasthani/train-*
- config_name: santali
data_files:
- split: train
path: santali/train-*.parquet
- config_name: sindhi
data_files:
- split: train
path: sindhi/train-*.parquet
- config_name: surgujia
data_files:
- split: train
path: surgujia/train-*.parquet
- config_name: tulu
data_files:
- split: train
path: tulu/train-*.parquet
- config_name: wagdi
data_files:
- split: train
path: wagdi/train-*.parquet
Indic Dialect ASR Dataset
A multilingual ASR dataset covering 30 Indic dialect/languages with 2.8M+ samples.
Usage
from datasets import load_dataset
# Load a specific language
ds = load_dataset("grushaaaaa/indic-dialect-asr", "assamese", split="train")
Features
- audio: 16kHz WAV audio
- sentence: Transcription text
- language: Language name
- source: Source dataset