metadata

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:

@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}, 
}