---
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: 19938507749.0
    num_examples: 95275
  download_size: 17916848914
  dataset_size: 19938507749.0
- 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

```python
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