|
--- |
|
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: |
|
|
|
``` |
|
@inproceedings{doshi-etal-2024-pretraining, |
|
title = "Pretraining Language Models Using Translationese", |
|
author = "Doshi, Meet and |
|
Dabre, Raj and |
|
Bhattacharyya, Pushpak", |
|
editor = "Al-Onaizan, Yaser and |
|
Bansal, Mohit and |
|
Chen, Yun-Nung", |
|
booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing", |
|
month = nov, |
|
year = "2024", |
|
address = "Miami, Florida, USA", |
|
publisher = "Association for Computational Linguistics", |
|
url = "https://aclanthology.org/2024.emnlp-main.334/", |
|
doi = "10.18653/v1/2024.emnlp-main.334", |
|
pages = "5843--5862", |
|
} |
|
``` |