Datasets:
metadata
language:
- bn
- en
- gu
- hi
- kn
- ta
- ur
license:
- cc-by-sa-3.0
size_categories:
- 1M<n<10M
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
configs:
- config_name: 20231101.bn
data_files:
- split: train
path: ben_Beng/train-*
- config_name: 20231101.en
data_files:
- split: train
path: eng_Latn/train-*
- config_name: 20231101.gu
data_files:
- split: train
path: guj_Gujr/train-*
- config_name: 20231101.hi
data_files:
- split: train
path: hin_Deva/train-*
- config_name: 20231101.kn
data_files:
- split: train
path: kan_Knda/train-*
- config_name: 20231101.ta
data_files:
- split: train
path: tam_Taml/train-*
- config_name: 20231101.ur
data_files:
- split: train
path: urd_Arab/train-*
dataset_info:
- config_name: 20231101.bn
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
- name: sents
dtype: int32
- name: chars
dtype: int32
- name: words
dtype: int32
- name: tokens
dtype: int32
splits:
- name: train
num_bytes: 18741174694
num_examples: 6345497
download_size: 17781537439
dataset_size: 17781537439
- config_name: 20231101.en
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
- name: sents
dtype: int32
- name: chars
dtype: int32
- name: words
dtype: int32
- name: tokens
dtype: int32
splits:
- name: train
num_bytes: 19009297439
num_examples: 6345497
download_size: 11344307656
dataset_size: 11344307656
- config_name: 20231101.gu
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
- name: sents
dtype: int32
- name: chars
dtype: int32
- name: words
dtype: int32
- name: tokens
dtype: int32
splits:
- name: train
num_bytes: 18453210446
num_examples: 6345497
download_size: 17858529783
dataset_size: 17858529783
- config_name: 20231101.hi
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
- name: sents
dtype: int32
- name: chars
dtype: int32
- name: words
dtype: int32
- name: tokens
dtype: int32
splits:
- name: train
num_bytes: 18622892252
num_examples: 6345497
download_size: 17364613184
dataset_size: 17364613184
- config_name: 20231101.kn
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
- name: sents
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- name: chars
dtype: int32
- name: words
dtype: int32
- name: tokens
dtype: int32
splits:
- name: train
num_bytes: 19679016421
num_examples: 6345497
download_size: 18764722116
dataset_size: 18764722116
- config_name: 20231101.ta
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
- name: sents
dtype: int32
- name: chars
dtype: int32
- name: words
dtype: int32
- name: tokens
dtype: int32
splits:
- name: train
num_bytes: 21457803696
num_examples: 6345497
download_size: 19416722401
dataset_size: 19416722401
- config_name: 20231101.ur
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
- name: sents
dtype: int32
- name: chars
dtype: int32
- name: words
dtype: int32
- name: tokens
dtype: int32
splits:
- name: train
num_bytes: 17921351051
num_examples: 6345497
download_size: 14665386082
dataset_size: 14665386082
Dataset Card for Bhasha-Wiki
Translated wikipedia articles
Dataset Details
Dataset is being updated
Dataset Description
We have translated 6.4 million English wikipedia articles into 6 Indic languages. The translations were done using IndicTrans2 model.
- Curated by: Soket AI labs
- Language(s) (NLP): Hindi, Bengali, Gujarati, Tamil, Kannada, Urdu
- License: cc-by-sa-3.0
Uses
For pretraining or Fine tuning for Indic language models
Dataset Structure
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Wikipedia articles
Data Collection and Processing
[More Information Needed]
Who are the source data producers?
[More Information Needed]
Annotations [optional]
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Bias, Risks, and Limitations
[More Information Needed]
Recommendations
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
Glossary [optional]
[More Information Needed]
More Information [optional]
[More Information Needed]
Dataset Card Authors [optional]
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Dataset Card Contact
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Licensing Information
Citation Information
@ONLINE{bhasha-wiki,
author = "Soket Labs Technology and Research Private Limited",
title = "Bhasha-Wiki",
url = "https://soket.ai"
}