---
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 4739686436.192
    num_examples: 22807
  - name: validation
    num_bytes: 578700572.85
    num_examples: 3075
  download_size: 4891973487
  dataset_size: 5318387009.042001
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
license: apache-2.0
language:
- gu
pretty_name: Gujarati Interspeech
---

# Gujarati Interspeech

Interspeech data downloaded from https://github.com/Open-Speech-EkStep/ULCA-asr-dataset-corpus

## Dataset Details
- Gujarati Data (Most of the entries are <5 seconds and hence Whisper Models can be used for accurate timestamp prediction)
- Also, the audio seems to have been spoken by a single person.