Datasets › IndicCorp

IndicCorp

Introduced by Divyanshu Kakwani et al. in IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages8 Nov 2020 archive 2025-07-28

IndicCorp is a large monolingual corpora with around 9 billion tokens covering 12 of the major Indian languages. It has been developed by discovering and scraping thousands of web sources - primarily news, magazines and books, over a duration of several months.

Languages covered: Assamese, Bengali, English, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, Telugu

Corpus Format: The corpus is a single large text file containing one sentence per line. The publicly released version is randomly shuffled, untokenized and deduplicated.

Downloads

Language # News Articles* Sentences Tokens Link
as 0.60M 1.39M 32.6M link
bn 3.83M 39.9M 836M link
en 3.49M 54.3M 1.22B link
gu 2.63M 41.1M 719M link
hi 4.95M 63.1M 1.86B link
kn 3.76M 53.3M 713M link
ml 4.75M 50.2M 721M link
mr 2.31M 34.0M 551M link
or 0.69M 6.94M 107M link
pa 2.64M 29.2M 773M link
ta 4.41M 31.5M 582M link
te 3.98M 47.9M 674M link

* Excluding articles obtained from the OSCAR corpus

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 28 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • IndicCorp

1 variant name, as the archive lists them.

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