metadata
annotations_creators:
- no-annotation
language_creators:
- found
language:
- sa
license:
- other
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
paperswithcode_id: null
pretty_name: SanskritClassic
dataset_info:
features:
- name: text
dtype: string
config_name: combined
splits:
- name: train
num_bytes: 40299787
num_examples: 342033
download_size: 7258904
dataset_size: 40299787
Dataset Card for [Dataset Name]
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage:sanskrit_classic
- Repository:GitHub
- **Paper:**N/A
- **Leaderboard:**N/A
- Point of Contact:parmarsuraj99
Dataset Summary
A collection of classical sanskrit texts
Supported Tasks and Leaderboards
Language modeling
Languages
Sanskrit
Dataset Structure
Data Instances
{'text': 'मा कर्मफलहेतुर्भूर्मा ते सङ्गोऽस्त्वकर्मणि॥'}
Data Fields
text: a line
Data Splits
| Train | |
|---|---|
| n_instances | 342033 |
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
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
[More Information Needed]
Citation Information
@Misc{johnsonetal2014,
author = {Johnson, Kyle P. and Patrick Burns and John Stewart and Todd Cook},
title = {CLTK: The Classical Language Toolkit},
url = {https://github.com/cltk/cltk},
year = {2014--2020},
}
Contributions
Thanks to @parmarsuraj99 for adding this dataset.