Datasets:
metadata
license: cc-by-4.0
task_categories:
- text-generation
language:
- hi
- mr
- gu
- sa
- ta
- te
- ml
- ne
- as
- bn
- ks
- or
- pa
- ur
- sd
- kn
size_categories:
- 10B<n<100B
tags:
- language-modeling
- llm
- clm
viewer: false
IITB Document level Monolingual Corpora for Indian languages.
22 scheduled languages of India + English
(1) Assamese, (2) Bengali, (3) Gujarati, (4) Hindi, (5) Kannada, (6) Kashmiri, (7) Konkani, (8) Malayalam, (9) Manipuri, (10) Marathi, (11) Nepali, (12) Oriya, (13) Punjabi, (14) Sanskrit, (15) Sindhi, (16) Tamil, (17) Telugu, (18) Urdu (19) Bodo, (20) Santhali, (21) Maithili and (22) Dogri.
| Language | Total (#Mil Tokens) |
|---|---|
| bn | 5258.47 |
| en | 11986.53 |
| gu | 887.18 |
| hi | 11268.33 |
| kn | 567.16 |
| ml | 845.32 |
| mr | 1066.76 |
| ne | 1542.39 |
| pa | 449.61 |
| ta | 2171.92 |
| te | 767.18 |
| ur | 2391.79 |
| as | 57.64 |
| brx | 2.25 |
| doi | 0.37 |
| gom | 2.91 |
| kas | 1.27 |
| mai | 1.51 |
| mni | 0.99 |
| or | 81.96 |
| sa | 80.09 |
| sat | 3.05 |
| sd | 83.81 |
| Total= | 39518.51 |
To cite this dataset:
@misc{doshi2024worry,
title={Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese},
author={Meet Doshi and Raj Dabre and Pushpak Bhattacharyya},
year={2024},
eprint={2403.13638},
archivePrefix={arXiv},
primaryClass={cs.CL}
}