Datasets:
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---
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.
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