metadata
task_categories:
- text-generation
- fill-mask
multilinguality:
- translation
task_ids:
- language-modeling
- masked-language-modeling
language:
- bn
- en
- gu
- hi
- ml
- mr
- or
- pa
- ta
- te
- ur
annotations_creators:
- no-annotation
source_datasets:
- original
size_categories:
- 1K<n<10K
- n<1K
license:
- cc-by-4.0
paperswithcode_id: null
pretty_name: CVIT MKB
dataset_info:
- config_name: or-ur
features:
- name: translation
dtype:
translation:
languages:
- or
- ur
splits:
- name: train
num_bytes: 39336
num_examples: 98
download_size: 52428800
dataset_size: 39336
- config_name: ml-or
features:
- name: translation
dtype:
translation:
languages:
- ml
- or
splits:
- name: train
num_bytes: 224084
num_examples: 427
download_size: 52428800
dataset_size: 224084
- config_name: bn-ta
features:
- name: translation
dtype:
translation:
languages:
- bn
- ta
splits:
- name: train
num_bytes: 2020506
num_examples: 3460
download_size: 52428800
dataset_size: 2020506
- config_name: gu-mr
features:
- name: translation
dtype:
translation:
languages:
- gu
- mr
splits:
- name: train
num_bytes: 1818018
num_examples: 3658
download_size: 52428800
dataset_size: 1818018
- config_name: hi-or
features:
- name: translation
dtype:
translation:
languages:
- hi
- or
splits:
- name: train
num_bytes: 188779
num_examples: 389
download_size: 52428800
dataset_size: 188779
- config_name: en-or
features:
- name: translation
dtype:
translation:
languages:
- en
- or
splits:
- name: train
num_bytes: 276520
num_examples: 768
download_size: 52428800
dataset_size: 276520
- config_name: mr-ur
features:
- name: translation
dtype:
translation:
languages:
- mr
- ur
splits:
- name: train
num_bytes: 225305
num_examples: 490
download_size: 52428800
dataset_size: 225305
- config_name: en-ta
features:
- name: translation
dtype:
translation:
languages:
- en
- ta
splits:
- name: train
num_bytes: 2578828
num_examples: 5744
download_size: 52428800
dataset_size: 2578828
- config_name: hi-ta
features:
- name: translation
dtype:
translation:
languages:
- hi
- ta
splits:
- name: train
num_bytes: 1583237
num_examples: 2761
download_size: 52428800
dataset_size: 1583237
- config_name: bn-en
features:
- name: translation
dtype:
translation:
languages:
- bn
- en
splits:
- name: train
num_bytes: 2001834
num_examples: 5634
download_size: 52428800
dataset_size: 2001834
- config_name: bn-or
features:
- name: translation
dtype:
translation:
languages:
- bn
- or
splits:
- name: train
num_bytes: 220893
num_examples: 447
download_size: 52428800
dataset_size: 220893
- config_name: ml-ta
features:
- name: translation
dtype:
translation:
languages:
- ml
- ta
splits:
- name: train
num_bytes: 1958818
num_examples: 3124
download_size: 52428800
dataset_size: 1958818
- config_name: gu-ur
features:
- name: translation
dtype:
translation:
languages:
- gu
- ur
splits:
- name: train
num_bytes: 311082
num_examples: 749
download_size: 52428800
dataset_size: 311082
- config_name: bn-ml
features:
- name: translation
dtype:
translation:
languages:
- bn
- ml
splits:
- name: train
num_bytes: 1587528
num_examples: 2938
download_size: 52428800
dataset_size: 1587528
- config_name: bn-hi
features:
- name: translation
dtype:
translation:
languages:
- bn
- hi
splits:
- name: train
num_bytes: 1298611
num_examples: 2706
download_size: 52428800
dataset_size: 1298611
- config_name: gu-te
features:
- name: translation
dtype:
translation:
languages:
- gu
- te
splits:
- name: train
num_bytes: 1669386
num_examples: 3528
download_size: 52428800
dataset_size: 1669386
- config_name: hi-ml
features:
- name: translation
dtype:
translation:
languages:
- hi
- ml
splits:
- name: train
num_bytes: 1208956
num_examples: 2305
download_size: 52428800
dataset_size: 1208956
- config_name: or-te
features:
- name: translation
dtype:
translation:
languages:
- or
- te
splits:
- name: train
num_bytes: 209457
num_examples: 440
download_size: 52428800
dataset_size: 209457
- config_name: en-ml
features:
- name: translation
dtype:
translation:
languages:
- en
- ml
splits:
- name: train
num_bytes: 2007061
num_examples: 5017
download_size: 52428800
dataset_size: 2007061
- config_name: en-hi
features:
- name: translation
dtype:
translation:
languages:
- en
- hi
splits:
- name: train
num_bytes: 1865430
num_examples: 5272
download_size: 52428800
dataset_size: 1865430
- config_name: mr-te
features:
- name: translation
dtype:
translation:
languages:
- mr
- te
splits:
- name: train
num_bytes: 1434444
num_examples: 2839
download_size: 52428800
dataset_size: 1434444
- config_name: bn-te
features:
- name: translation
dtype:
translation:
languages:
- bn
- te
splits:
- name: train
num_bytes: 1431096
num_examples: 2939
download_size: 52428800
dataset_size: 1431096
- config_name: gu-hi
features:
- name: translation
dtype:
translation:
languages:
- gu
- hi
splits:
- name: train
num_bytes: 1521174
num_examples: 3213
download_size: 52428800
dataset_size: 1521174
- config_name: ta-ur
features:
- name: translation
dtype:
translation:
languages:
- ta
- ur
splits:
- name: train
num_bytes: 329809
num_examples: 637
download_size: 52428800
dataset_size: 329809
- config_name: te-ur
features:
- name: translation
dtype:
translation:
languages:
- te
- ur
splits:
- name: train
num_bytes: 254581
num_examples: 599
download_size: 52428800
dataset_size: 254581
- config_name: gu-ml
features:
- name: translation
dtype:
translation:
languages:
- gu
- ml
splits:
- name: train
num_bytes: 1822865
num_examples: 3469
download_size: 52428800
dataset_size: 1822865
- config_name: hi-te
features:
- name: translation
dtype:
translation:
languages:
- hi
- te
splits:
- name: train
num_bytes: 1078371
num_examples: 2289
download_size: 52428800
dataset_size: 1078371
- config_name: en-te
features:
- name: translation
dtype:
translation:
languages:
- en
- te
splits:
- name: train
num_bytes: 1784517
num_examples: 5177
download_size: 52428800
dataset_size: 1784517
- config_name: ml-te
features:
- name: translation
dtype:
translation:
languages:
- ml
- te
splits:
- name: train
num_bytes: 1556164
num_examples: 2898
download_size: 52428800
dataset_size: 1556164
- config_name: hi-ur
features:
- name: translation
dtype:
translation:
languages:
- hi
- ur
splits:
- name: train
num_bytes: 313360
num_examples: 742
download_size: 52428800
dataset_size: 313360
- config_name: mr-or
features:
- name: translation
dtype:
translation:
languages:
- mr
- or
splits:
- name: train
num_bytes: 219193
num_examples: 432
download_size: 52428800
dataset_size: 219193
- config_name: en-ur
features:
- name: translation
dtype:
translation:
languages:
- en
- ur
splits:
- name: train
num_bytes: 289419
num_examples: 1019
download_size: 52428800
dataset_size: 289419
- config_name: ml-ur
features:
- name: translation
dtype:
translation:
languages:
- ml
- ur
splits:
- name: train
num_bytes: 295806
num_examples: 624
download_size: 52428800
dataset_size: 295806
- config_name: bn-mr
features:
- name: translation
dtype:
translation:
languages:
- bn
- mr
splits:
- name: train
num_bytes: 1554154
num_examples: 3054
download_size: 52428800
dataset_size: 1554154
- config_name: gu-ta
features:
- name: translation
dtype:
translation:
languages:
- gu
- ta
splits:
- name: train
num_bytes: 2284643
num_examples: 3998
download_size: 52428800
dataset_size: 2284643
- config_name: bn-gu
features:
- name: translation
dtype:
translation:
languages:
- bn
- gu
splits:
- name: train
num_bytes: 1840059
num_examples: 3810
download_size: 52428800
dataset_size: 1840059
- config_name: bn-ur
features:
- name: translation
dtype:
translation:
languages:
- bn
- ur
splits:
- name: train
num_bytes: 234561
num_examples: 559
download_size: 52428800
dataset_size: 234561
- config_name: ml-mr
features:
- name: translation
dtype:
translation:
languages:
- ml
- mr
splits:
- name: train
num_bytes: 1568672
num_examples: 2803
download_size: 52428800
dataset_size: 1568672
- config_name: or-ta
features:
- name: translation
dtype:
translation:
languages:
- or
- ta
splits:
- name: train
num_bytes: 267193
num_examples: 470
download_size: 52428800
dataset_size: 267193
- config_name: ta-te
features:
- name: translation
dtype:
translation:
languages:
- ta
- te
splits:
- name: train
num_bytes: 1773728
num_examples: 3100
download_size: 52428800
dataset_size: 1773728
- config_name: gu-or
features:
- name: translation
dtype:
translation:
languages:
- gu
- or
splits:
- name: train
num_bytes: 256362
num_examples: 541
download_size: 52428800
dataset_size: 256362
- config_name: en-gu
features:
- name: translation
dtype:
translation:
languages:
- en
- gu
splits:
- name: train
num_bytes: 2318080
num_examples: 6615
download_size: 52428800
dataset_size: 2318080
- config_name: hi-mr
features:
- name: translation
dtype:
translation:
languages:
- hi
- mr
splits:
- name: train
num_bytes: 1243583
num_examples: 2491
download_size: 52428800
dataset_size: 1243583
- config_name: mr-ta
features:
- name: translation
dtype:
translation:
languages:
- mr
- ta
splits:
- name: train
num_bytes: 1906073
num_examples: 3175
download_size: 52428800
dataset_size: 1906073
- config_name: en-mr
features:
- name: translation
dtype:
translation:
languages:
- en
- mr
splits:
- name: train
num_bytes: 2140298
num_examples: 5867
download_size: 52428800
dataset_size: 2140298
config_names:
- bn-en
- bn-gu
- bn-hi
- bn-ml
- bn-mr
- bn-or
- bn-ta
- bn-te
- bn-ur
- en-gu
- en-hi
- en-ml
- en-mr
- en-or
- en-ta
- en-te
- en-ur
- gu-hi
- gu-ml
- gu-mr
- gu-or
- gu-ta
- gu-te
- gu-ur
- hi-ml
- hi-mr
- hi-or
- hi-ta
- hi-te
- hi-ur
- ml-mr
- ml-or
- ml-ta
- ml-te
- ml-ur
- mr-or
- mr-ta
- mr-te
- mr-ur
- or-ta
- or-te
- or-ur
- ta-te
- ta-ur
- te-ur
Dataset Card for CVIT MKB
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
Dataset Summary
Indian Prime Minister's speeches - Mann Ki Baat, on All India Radio, translated into many languages.
Supported Tasks and Leaderboards
[MORE INFORMATION NEEDED]
Languages
Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English
Dataset Structure
Data Instances
[MORE INFORMATION NEEDED]
Data Fields
src_tag:stringtext in source languagetgt_tag:stringtranslation of source language in target language
Data Splits
[MORE INFORMATION NEEDED]
Dataset Creation
Curation Rationale
[MORE INFORMATION NEEDED]
Source Data
[MORE INFORMATION NEEDED]
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 datasets and pretrained models provided here are licensed under Creative Commons Attribution-ShareAlike 4.0 International License.
Citation Information
@misc{siripragada2020multilingual,
title={A Multilingual Parallel Corpora Collection Effort for Indian Languages},
author={Shashank Siripragada and Jerin Philip and Vinay P. Namboodiri and C V Jawahar},
year={2020},
eprint={2007.07691},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Contributions
Thanks to @vasudevgupta7 for adding this dataset.