Datasets:
annotations_creators:
- no-annotation
language_creators:
- found
language:
- as
- bn
- hi
- kn
- ml
- or
- pa
- ta
- te
license:
- cc-by-nc-4.0
multilinguality:
- multilingual
pretty_name: IndicWikiBio
size_categories:
- 1960<n<11,502
source_datasets:
- none. Originally generated from www.wikimedia.org.
task_categories:
- conditional-text-generation
task_ids:
- conditional-text-generation-other-wikibio
Dataset Card for "IndicWikiBio"
Table of Contents
- Dataset Card Creation Guide
Dataset Description
- Homepage: https://indicnlp.ai4bharat.org/indicnlg-suite
- Paper: IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages
- Point of Contact:
Dataset Summary
The WikiBio dataset released as part of IndicNLG Suite. Each example has four fields: id, infobox, serialized infobox and summary. We create this dataset in nine languages including as, bn, hi, kn, ml, or, pa, ta, te. The total size of the dataset is 57,426.
Supported Tasks and Leaderboards
Tasks: WikiBio
Leaderboards: Currently there is no Leaderboard for this dataset.
Languages
Assamese (as)
Bengali (bn)
Kannada (kn)
Hindi (hi)
Malayalam (ml)
Oriya (or)
Punjabi (pa)
Tamil (ta)
Telugu (te)
Dataset Structure
Data Instances
One random example from the hi
dataset is given below in JSON format.
{
"id": 26,
"infobox": "name_1:सी॰\tname_2:एल॰\tname_3:रुआला\toffice_1:सांसद\toffice_2:-\toffice_3:मिजोरम\toffice_4:लोक\toffice_5:सभा\toffice_6:निर्वाचन\toffice_7:क्षेत्र\toffice_8:।\toffice_9:मिजोरम\tterm_1:2014\tterm_2:से\tterm_3:2019\tnationality_1:भारतीय",
"serialized_infobox": "<TAG> name </TAG> सी॰ एल॰ रुआला <TAG> office </TAG> सांसद - मिजोरम लोक सभा निर्वाचन क्षेत्र । मिजोरम <TAG> term </TAG> 2014 से 2019 <TAG> nationality </TAG> भारतीय",
"summary": "सी॰ एल॰ रुआला भारत की सोलहवीं लोक सभा के सांसद हैं।"
}
Data Fields
id (string)
: Unique identifier.infobox (string)
: Raw Infobox.serialized_infobox (string)
: Serialized Infobox as input.summary (string)
: Summary of Infobox/First line of Wikipedia page.
Data Splits
Here is the number of samples in each split for all the languages.
Language | ISO 639-1 Code | Train | Test | Val | ---------- | ---------- | ---------- | ---------- | ---------- | Assamese | as | 1,300 | 391 | 381 | Bengali | bn | 4,615 | 1,521 | 1,567 | Hindi | hi | 5,684 | 1,919 | 1,853 | Kannada | kn | 1,188 | 389 | 383 | Malayalam | ml | 5,620 | 1,835 | 1,896 | Oriya | or | 1,687 | 558 | 515 | Punjabi | pa | 3,796 | 1,227 | 1,331 | Tamil | ta | 8,169 | 2,701 | 2,632 | Telugu | te | 2,594 | 854 | 820 |
Dataset Creation
Curation Rationale
Source Data
None
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
[More information needed]
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
Contents of this repository are restricted to only non-commercial research purposes under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). Copyright of the dataset contents belongs to the original copyright holders.
Citation Information
If you use any of the datasets, models or code modules, please cite the following paper:
@inproceedings{Kumar2022IndicNLGSM,
title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
year={2022},
url = "https://arxiv.org/abs/2203.05437",