README.md

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:

@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",
}