---
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}, 
}
```