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Telugu datasets
archive 2025-07-2835 datasets carry the language tag "Telugu", ordered by the archive's paper count. Page 1 of 1: 35 shown of 35. 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.
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Telugu datasets 1–35 of 35
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
MGSM (Multilingual Grade School Math)
Multilingual Grade School Math Benchmark (MGSM) is a benchmark of grade-school math problems.
107 papers · 1 benchmark
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
XTREME (Cross-Lingual Transfer Evaluation of Multilingual Encoders)
The Cross-lingual TRansfer Evaluation of Multilingual Encoders (XTREME) benchmark was introduced to encourage more research on multilingual transfer learning,.
55 papers · 2 benchmarks
RxR (Room-across-Room)
Room-Across-Room (RxR) is a multilingual dataset for Vision-and-Language Navigation (VLN) for Matterport3D environments.
54 papers · 1 benchmark
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
XStoryCloze consists of the professionally translated version of the English StoryCloze dataset (Spring 2016 version) to 10 non-English languages.
26 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
The Dakshina dataset is a collection of text in both Latin and native scripts for 12 South Asian languages.
14 papers · 0 benchmarks
Synbols is a dataset generator designed for probing the behavior of learning algorithms.
11 papers · 0 benchmarks
IIIT-ILST is a dataset and benchmark for scene text recognition for three Indic scripts - Devanagari, Telugu and Malayalam.
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
NISP (NITK-IISc Multilingual Multi-accent Speaker Profiling)
This dataset contains speech recordings along with speaker physical parameters (height, weight, shoulder size, age ) as well as regional information and linguistic information.
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
A multilingual dataset for the task of multilingual claim span identification.
3 papers · 0 benchmarks
MGSM8KInstruct, the multilingual math reasoning instruction dataset, encompassing ten distinct languages, thus addressing the issue of training data scarcity in multilingual math reasoning.
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
Dataset Summary INCLUDE is a comprehensive knowledge- and reasoning-centric benchmark across 44 languages that evaluates multilingual LLMs for performance in the actual language environments where they would be deployed.
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
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
MVALUE (Multilingual human VALUE dataset)
Multilingual human VALUE(MVALUE) is a multilingual dataset covering 7 concepts of human values: morality, deontology, utilitarianism, fairness, truthfulness, toxicity and harmfulness, each concept subset of it includes positive and…
1 paper · 0 benchmarks
We announce the release of a new multilingual speaker dataset called NITK-IISc Multilingual Multi-accent Speaker Profiling(NISP) dataset.
1 paper · 0 benchmarks
ROAST (Review level Opinion Aspect Sentiment Target Joint Detection for ABSA)
This repository has a review-level multidomain multilingual dataset for Aspect-based Sentiment Analysis(ABSA) for the paper ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection.
1 paper · 0 benchmarks
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.