annotations_creators:
- no-annotation
language_creators:
- found
language:
- as
- bn
- gu
- hi
- kn
- ml
- mr
- or
- pa
- ta
- te
license:
- cc-by-nc-4.0
multilinguality:
- multilingual
pretty_name: IndicSentenceSummarization
size_categories:
- 5K<n<112K
source_datasets:
- >-
original for Hindi, and modified
[IndicGLUE](https://indicnlp.ai4bharat.org/indic-glue/) for other languages.
task_categories:
- conditional-text-generation
task_ids:
- conditional-text-generation-other-sentence-summarization
Dataset Card for "IndicSentenceSummarization"
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
IndicSentenceSummarization is the sentence summarization dataset released as part of IndicNLG Suite. Each input sentence is paired with an output as summary. We create this dataset in eleven languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. The total size of the dataset is 431K.
Supported Tasks and Leaderboards
Tasks: Sentence Summarization
Leaderboards: Currently there is no Leaderboard for this dataset.
Languages
Assamese (as)Bengali (bn)Gujarati (gu)Kannada (kn)Hindi (hi)Malayalam (ml)Marathi (mr)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': '5',
'input': 'जम्मू एवं कश्मीर के अनंतनाग जिले में शनिवार को सुरक्षाबलों के साथ मुठभेड़ में दो आतंकवादियों को मार गिराया गया।',
'target': 'जम्मू-कश्मीर : सुरक्षाबलों के साथ मुठभेड़ में 2 आतंकवादी ढेर',
'url': 'https://www.indiatv.in/india/national-jammu-kashmir-two-millitant-killed-in-encounter-with-security-forces-574529'
}
Data Fields
id (string): Unique identifier.input (string): Input sentence.target (strings): Output summary.url (string): Source web link of the sentence.
Data Splits
Here is the number of samples in each split for all the languages.
Language | ISO 639-1 Code | Train | Dev | Test | ---------- | ---------- | ---------- | ---------- | ---------- | Assamese | as | 10,812 | 5,232 | 5,452 | Bengali | bn | 17,035 | 2,355 | 2,384 | Gujarati | gu | 54,788 | 8,720 | 8,460 | Hindi | hi | 78,876 | 16,935 | 16,835 | Kannada | kn | 61,220 | 9,024 | 1,485 | Malayalam | ml | 2,855 | 1,520 | 1,580 | Marathi | mr | 27,066 | 3,249 | 3,309 | Oriya | or | 12,065 | 1,539 | 1,440 | Punjabi | pa | 31,630 | 4,004 | 3,967 | Tamil | ta | 23,098 | 2,874 | 2,948 | Telugu | te | 7,119 | 878 | 862 |
Dataset Creation
Curation Rationale
Source Data
It is a modified subset of IndicHeadlineGeneration dataset.
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",