Datasets:
pretty_name: Snow Mountain
language:
- hi
- bgc
- kfs
- dgo
- bhd
- gbk
- xnr
- kfx
- mjl
- kfo
- bfz
annotations_creators:
- 'null': null
language_creators:
- 'null': null
license: []
multilinguality:
- multilingual
size_categories:
- null
source_datasets:
- Snow Mountain
tags: []
task_categories:
- automatic-speech-recognition
task_ids: []
configs:
- hi
- bgc
dataset_info:
- config_name: hi
features:
- name: Unnamed
dtype: int64
- name: sentence
dtype: string
- name: path
dtype: string
splits:
- name: train_500
num_examples: 400
- name: val_500
num_examples: 100
- name: train_1000
num_examples: 800
- name: val_1000
num_examples: 200
- name: test_common
num_examples: 500
dataset_size: 71.41 hrs
- config_name: bgc
features:
- name: Unnamed
dtype: int64
- name: sentence
dtype: string
- name: path
dtype: string
splits:
- name: train_500
num_examples: 400
- name: val_500
num_examples: 100
- name: train_1000
num_examples: 800
- name: val_1000
num_examples: 200
- name: test_common
num_examples: 500
dataset_size: 27.41 hrs
Dataset Card for [Dataset Name]
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage:
- Repository:https://gitlabdev.bridgeconn.com/software/research/datasets/snow-mountain
- Paper:https://arxiv.org/abs/2206.01205
- Leaderboard:
- Point of Contact:
Dataset Summary
The Snow Mountain dataset contains the audio recordings (in .mp3 format) and the corresponding text of The Bible in 11 Indian languages. The recordings were done in a studio setting by native speakers. Each language has a single speaker in the dataset. Most of these languages are geographically concentrated in the Northern part of India around the state of Himachal Pradesh. Being related to Hindi they all use the Devanagari script for transcription.
We have used this dataset for experiments in ASR tasks. But these could be used for other applications in speech domain, like speaker recognition, language identification or even as unlabelled corpus for pre-training.
Supported Tasks and Leaderboards
Atomatic speech recognition, Speaker recognition, Language identification
Languages
Hindi, Haryanvi, Bilaspuri, Dogri, Bhadrawahi, Gaddi, Kangri, Kulvi, Mandeali, Kulvi Outer Seraji, Pahari Mahasui
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
The Bible recordings were done in a studio setting by native speakers.
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
The data is licensed under the Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)
Citation Information
@inproceedings{Raju2022SnowMD, title={Snow Mountain: Dataset of Audio Recordings of The Bible in Low Resource Languages}, author={Kavitha Raju and V. Anjaly and R. Allen Lish and Joel Mathew}, year={2022} }
Contributions
Thanks to @github-username for adding this dataset.