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---
dataset_info:
features:
- name: src_lang
dtype:
class_label:
names:
'0': eng_Latn
'1': ben_Beng
'2': guj_Gujr
'3': hin_Deva
'4': kan_Knda
'5': mal_Mlym
'6': mar_Deva
'7': tam_Taml
'8': tel_Telu
- name: tgt_lang
dtype:
class_label:
names:
'0': eng_Latn
'1': ben_Beng
'2': guj_Gujr
'3': hin_Deva
'4': kan_Knda
'5': mal_Mlym
'6': mar_Deva
'7': tam_Taml
'8': tel_Telu
- name: src_text
dtype: string
- name: tgt_text
dtype: string
- name: score
dtype: float64
- name: course_id
dtype: string
- name: lecture_id
dtype: string
splits:
- name: train
num_bytes: 1525138121
num_examples: 2519061
- name: test
num_bytes: 168876800
num_examples: 277715
download_size: 863816750
dataset_size: 1694014921
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
license: cc-by-4.0
task_categories:
- translation
language:
- hi
- bn
- ta
- te
- kn
- gu
- mr
- ml
pretty_name: Shiksha
---
# Shiksha Dataset
This is a Technical Domain focused Translation Dataset for 8 Indian Languages. It consists of more than 2.5 million rows of translation pairs between all 8 languages and English.
This data has been derived from raw NPTEL documents. More information on this can be found in our paper: https://arxiv.org/abs/2412.09025
If you use this data in your work, please cite us:
```bibtex
@misc{joglekar2024shikshatechnicaldomainfocused,
title={Shiksha: A Technical Domain focused Translation Dataset and Model for Indian Languages},
author={Advait Joglekar and Srinivasan Umesh},
year={2024},
eprint={2412.09025},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2412.09025},
}
```