dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: audio_filepath
dtype: string
- name: text
dtype: string
- name: duration
dtype: float32
- name: language
dtype: string
- name: language_code
dtype: string
- name: age_group
dtype: string
- name: gender
dtype: string
- name: emotion
dtype: string
- name: domain
dtype: string
- name: intent
dtype: string
splits:
- name: bh
num_bytes: 20415807696.64
num_examples: 91886
- name: bn
num_bytes: 20124039391.334
num_examples: 82734
- name: ch
num_bytes: 22760645467.128
num_examples: 82746
- name: kn
num_bytes: 18684932074.288
num_examples: 83262
- name: mg
num_bytes: 19456891370.92
num_examples: 92879
- name: mt
num_bytes: 20531287967.048
num_examples: 92316
- name: mr
num_bytes: 14455832457.928
num_examples: 92218
- name: te
num_bytes: 22543783593.904
num_examples: 92514
download_size: 137007618607
dataset_size: 158973220019.19
configs:
- config_name: default
data_files:
- split: bh
path: data/bh-*
- split: bn
path: data/bn-*
- split: ch
path: data/ch-*
- split: kn
path: data/kn-*
- split: mg
path: data/mg-*
- split: mt
path: data/mt-*
- split: mr
path: data/mr-*
- split: te
path: data/te-*
task_categories:
- audio-classification
- automatic-speech-recognition
language:
- bn
- bh
- kn
- mr
- te
tags:
- emotion
- age
- transcription
- gender
- intent
- entities
Dataset Card for Dataset Name
https://sites.google.com/view/respinasrchallenge2025/home?authuser=0
This is the trainig dataset provided for track-3 and track-4 of this task. We enhance the dataset with entity tagging, emotion, age, gender and intent.
WhissleAI participated in this challenge.
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
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