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Marathi datasets
archive 2025-07-2831 datasets carry the language tag "Marathi", ordered by the archive's paper count. Page 1 of 1: 31 shown of 31. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 50 language tags shown of 367, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
English 3,998Chinese 460German 199French 190Spanish 156Russian 143Japanese 111Arabic 109Italian 98Portuguese 93Hindi 81Vietnamese 71Korean 68Bengali 66Turkish 63Persian 60Dutch 51Tamil 49Indonesian 44Polish 44Czech 41Danish 35Finnish 35Telugu 35Romanian 34Urdu 34Thai 33Marathi 31Hungarian 29Multilingual 29Swedish 29Greek 26Gujarati 26Hebrew 25Mandarin Chinese 25Estonian 24Malayalam 23Ukrainian 23Bulgarian 22Basque 21Kannada 19Punjabi 19Catalan 18Croatian 18Slovak 18Swahili 18Lithuanian 17Latvian 16Norwegian 16Serbian 16
Marathi datasets 1–31 of 31
The Universal Dependencies (UD) project seeks to develop cross-linguistically consistent treebank annotation of morphology and syntax for multiple languages.
520 papers · 5 benchmarks
This corpus comprises of monolingual data for 100+ languages and also includes data for romanized languages.
115 papers · 0 benchmarks
WikiANN (PAN-X)
WikiANN, also known as PAN-X, is a multilingual named entity recognition dataset.
72 papers · 4 benchmarks
OSCAR or Open Super-large Crawled ALMAnaCH coRpus is a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus using the goclassy architecture.
64 papers · 0 benchmarks
XL-Sum is a comprehensive and diverse dataset for abstractive summarization comprising 1 million professionally annotated article-summary pairs from BBC, extracted using a set of carefully designed heuristics.
64 papers · 0 benchmarks
Samanantar is the largest publicly available parallel corpora collection for Indic languages: Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, Telugu.
40 papers · 0 benchmarks
IndicCorp is a large monolingual corpora with around 9 billion tokens covering 12 of the major Indian languages.
28 papers · 0 benchmarks
IndicGLUE (Indic General Language Understanding Evaluation Benchmark)
We now introduce IndicGLUE, the Indic General Language Understanding Evaluation Benchmark, which is a collection of various NLP tasks as de- scribed below.
16 papers · 4 benchmarks
X-FACT is a large publicly available multilingual dataset for factual verification of naturally existing real-world claims.
16 papers · 0 benchmarks
The Dakshina dataset is a collection of text in both Latin and native scripts for 12 South Asian languages.
14 papers · 0 benchmarks
L3CubeMahaSent is a large publicly available Marathi Sentiment Analysis dataset.
8 papers · 0 benchmarks
MOLD (Marathi Offensive Language Dataset)
MOLD is a Marathi dataset for offensive language identification
6 papers · 0 benchmarks
Naamapadam is a Named Entity Recognition (NER) dataset for the 11 major Indian languages from two language families.
6 papers · 0 benchmarks
MuMiN is a misinformation graph dataset containing rich social media data (tweets, replies, users, images, articles, hashtags), spanning 21 million tweets belonging to 26 thousand Twitter threads, each of which have been semantically…
5 papers · 0 benchmarks
GeoCoV19 is a large-scale Twitter dataset containing more than 524 million multilingual tweets.
4 papers · 0 benchmarks
The IndicNLP corpus is a large-scale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families.
3 papers · 0 benchmarks
A special corpus of Indian languages covering 13 major languages of India.
3 papers · 13 benchmarks
CLSE (Corpus of Linguistically Significant Entities)
2 papers · 0 benchmarks
OpenSLR (Open Speech and Language Resources)
OpenSLR is a repository of open speech and language resources, including large-scale transcribed audio corpora and related software.
2 papers · 1 benchmark
It consists of an extensive collection of a high quality cross-lingual fact-to-text dataset in 11 languages: Assamese (as), Bengali (bn), Gujarati (gu), Hindi (hi), Kannada (kn), Malayalam (ml), Marathi (mr), Oriya (or), Punjabi (pa),…
2 papers · 1 benchmark
HALvest is a textual dataset comprising 17 billion tokens in 56 languages and 13 domains.
1 paper · 0 benchmarks
IRLCov19 is a multilingual Twitter dataset related to Covid-19 collected in the period between February 2020 to July 2020 specifically for regional languages in India.
1 paper · 0 benchmarks
L3Cube-MahaCorpus is a Marathi monolingual data set scraped from different internet sources.
1 paper · 0 benchmarks
M3LS (Multi-Lingual Multi-Modal Summarization Dataset)
Significant developments in techniques such as encoder-decoder models have enabled us to represent information comprising multiple modalities.
1 paper · 0 benchmarks
MAKED (MultiModal MultiLingual Summarization and Keyword Extraction Dataset)
Keyword extraction is an integral task for many downstream problems like clustering, recommendation, search and classification.
1 paper · 0 benchmarks
MILU (Multi-task Indic Language Understanding Benchmark)
Overview MILU (Multi-task Indic Language Understanding Benchmark) is a comprehensive evaluation dataset designed to assess the performance of Large Language Models (LLMs) across 11 Indic languages.
1 paper · 0 benchmarks
Translated SNLI Dataset in Marathi A translated version of the SNLI dataset in Marathi, designed for Semantic Textual Similarity (STS) tasks.
1 paper · 1 benchmark
1 paper · 0 benchmarks
Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts.
1 paper · 0 benchmarks
We provide a new data set XWikiRef for the task of Cross-lingual Multi-document Summarization.
1 paper · 0 benchmarks
We present sentence aligned parallel corpora across 10 Indian Languages - Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English - many of which are categorized as low resource.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.