Datasets:

ltrciiith
/

bhashik-parallel-corpora-education

	---
	language:
	- en
	- hi
	- bn
	- gu
	- kn
	- ml
	- mr
	- ur
	- te
	- ta
	license: cc-by-nc-4.0
	size_categories:
	- 1M<n<10M
	task_categories:
	- translation
	tags:
	- parallel corpora
	- domains
	- education
	- Communication skill
	- Computer science
	- Economics
	- Health
	- History
	- Law
	- Management
	- Marketing
	- Mathematics
	- Natural science
	- Political science
	- Psychology
	- Teaching methods
	- Textile
	- Tourism
	- health
	dataset_info:
	features:
	- name: domain
	dtype: string
	- name: source_language
	dtype: string
	- name: target_language
	dtype: string
	- name: source_text
	dtype: string
	- name: target_text
	dtype: string
	splits:
	- name: train
	num_bytes: 1204929943
	num_examples: 1907018
	- name: test
	num_bytes: 17912807
	num_examples: 30958
	download_size: 529110440
	dataset_size: 1222842750
	configs:
	- config_name: default
	data_files:
	- split: train
	path: data/train-*
	- split: test
	path: data/test-*
	---
	# Dataset Card for Dataset Name

	Domain Parallel Corpora for Indian Languages (bhashik-parallel-corpora-education)
	Education Domain


	## Dataset Description

	- Contains Human post edited parallel corpora for English and 10 Indian Langauges (Can be used as nway parallel)
	- Train (++) and Test (0.5K) separation for each language pair/domain


	### Dataset Size and Domains

	\| Domain \| Language Pair \| Count (passages/sentences) \|
	\|---------------------\|-------------------\|---------\|
	\| Natural science \| eng_Latn-hin_Deva \| 140999 \|
	\| Natural science \| eng_Latn-mar_Deva \| 191936 \|
	\| Natural science \| eng_Latn-kan_Knda \| 185491 \|
	\| Natural science \| eng_Latn-tel_Telu \| 223146 \|
	\| Natural science \| eng_Latn-mal_Mlym \| 84 \|
	\| Natural science \| eng_Latn-tam_Taml \| 38 \|
	\| Computer science \| eng_Latn-mar_Deva \| 80170 \|
	\| Computer science \| eng_Latn-hin_Deva \| 71507 \|
	\| Computer science \| eng_Latn-kan_Knda \| 75354 \|
	\| Computer science \| eng_Latn-tel_Telu \| 75388 \|
	\| Computer science \| eng_Latn-urd_Arab \| 332 \|
	\| Computer science \| eng_Latn-tam_Taml \| 11902 \|
	\| Law \| eng_Latn-tel_Telu \| 80165 \|
	\| Law \| eng_Latn-mar_Deva \| 81581 \|
	\| Law \| eng_Latn-tam_Taml \| 90 \|
	\| Law \| eng_Latn-kan_Knda \| 78245 \|
	\| Law \| eng_Latn-hin_Deva \| 735 \|
	\| Mathematics \| eng_Latn-mar_Deva \| 62881 \|
	\| Mathematics \| eng_Latn-tel_Telu \| 59373 \|
	\| Mathematics \| eng_Latn-kan_Knda \| 40625 \|
	\| Mathematics \| eng_Latn-hin_Deva \| 26259 \|
	\| Mathematics \| eng_Latn-tam_Taml \| 286 \|
	\| Mathematics \| eng_Latn-mal_Mlym \| 163 \|
	\| health \| eng_Latn-tam_Taml \| 12728 \|
	\| health \| eng_Latn-guj_Gujr \| 299 \|
	\| health \| eng_Latn-tel_Telu \| 34855 \|
	\| health \| eng_Latn-hin_Deva \| 11802 \|
	\| health \| eng_Latn-mar_Deva \| 1904 \|
	\| health \| eng_Latn-kan_Knda \| 135 \|
	\| health \| eng_Latn-mal_Mlym \| 202 \|
	\| health \| eng_Latn-ben_Beng \| 370 \|
	\| Teaching methods \| eng_Latn-kan_Knda \| 32670 \|
	\| Teaching methods \| eng_Latn-tel_Telu \| 31828 \|
	\| Teaching methods \| eng_Latn-hin_Deva \| 19065 \|
	\| Teaching methods \| eng_Latn-mar_Deva \| 32327 \|
	\| Teaching methods \| eng_Latn-tam_Taml \| 17 \|
	\| Teaching methods \| eng_Latn-mal_Mlym \| 527 \|
	\| Teaching methods \| eng_Latn-urd_Arab \| 3909 \|
	\| Management \| eng_Latn-mar_Deva \| 14521 \|
	\| Management \| eng_Latn-kan_Knda \| 11001 \|
	\| Management \| eng_Latn-tel_Telu \| 11041 \|
	\| Health \| eng_Latn-hin_Deva \| 715 \|
	\| Psychology \| eng_Latn-hin_Deva \| 12651 \|
	\| Psychology \| eng_Latn-tel_Telu \| 12771 \|
	\| Psychology \| eng_Latn-mar_Deva \| 12822 \|
	\| Psychology \| eng_Latn-kan_Knda \| 12570 \|
	\| Marketing \| eng_Latn-hin_Deva \| 4903 \|
	\| Marketing \| eng_Latn-tel_Telu \| 4971 \|
	\| Marketing \| eng_Latn-mar_Deva \| 4858 \|
	\| Marketing \| eng_Latn-kan_Knda \| 5099 \|
	\| Political science \| eng_Latn-tel_Telu \| 11978 \|
	\| Political science \| eng_Latn-mar_Deva \| 11935 \|
	\| Political science \| eng_Latn-kan_Knda \| 12001 \|
	\| Political science \| eng_Latn-hin_Deva \| 7876 \|
	\| Textile \| eng_Latn-tel_Telu \| 7609 \|
	\| Textile \| eng_Latn-mar_Deva \| 7637 \|
	\| Textile \| eng_Latn-kan_Knda \| 7630 \|
	\| History \| eng_Latn-tel_Telu \| 4902 \|
	\| History \| eng_Latn-mar_Deva \| 4919 \|
	\| History \| eng_Latn-kan_Knda \| 4941 \|
	\| Economics \| eng_Latn-tel_Telu \| 5087 \|
	\| Economics \| eng_Latn-mar_Deva \| 5093 \|
	\| Economics \| eng_Latn-kan_Knda \| 5061 \|
	\| Tourism \| eng_Latn-tel_Telu \| 12798 \|
	\| Tourism \| eng_Latn-mar_Deva \| 12795 \|
	\| Tourism \| eng_Latn-kan_Knda \| 12813 \|
	\| Communication skill \| eng_Latn-tel_Telu \| 8426 \|
	\| Communication skill \| eng_Latn-mar_Deva \| 8537 \|
	\| Communication skill \| eng_Latn-kan_Knda \| 8627 \|
	\| \|\|\|
	\| Total \| \| 1937976 \|



	## Dataset Structure
	- File name contains source language and target language based on train and test splits
	- {'domain', 'source_language', 'target_language', 'source_text', 'target_text'}

	### Source Data

	Educational Lectures

	### Details
	- Curated by: LTRC, IIIT Hyderabad, India
	- Funded by: MOE, GOI, India
	- Shared by: MT-NLP, LTRC, IIIT Hyderabad, India
	- Language(s) (NLP): eng_Latn, kan_Knda, mar_Deva, tel_Telu, hin_Deva, urd_Arab, mal_Mlym, guj_Gujr, tam_Taml, ben_Beng
	- License: [More Information Needed]
	- Paper: BhashaVerse : Translation Ecosystem for Indian Subcontinent Languages []
	- Demo: [More Information Needed]

	### Project Investigator

	- Prof. Dipti Misra Sharma, LTRC, IIIT Hyderabad

	#### Data Curators
	- LTRC Language Experts


	BibTeX:
	```
	@misc{mujadia2024bhashaversetranslationecosystem,
	title={BhashaVerse : Translation Ecosystem for Indian Subcontinent Languages},
	author={Vandan Mujadia and Dipti Misra Sharma},
	year={2024},
	eprint={2412.04351},
	archivePrefix={arXiv},
	primaryClass={cs.CL},
	url={https://arxiv.org/abs/2412.04351},
	}
	```

	## Dataset Card Authors [optional]

	[More Information Needed]

	## Dataset Card Contact

	[More Information Needed]