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Azerbaijani datasets
archive 2025-07-28
10 datasets carry the language tag "Azerbaijani", ordered by the archive's paper count. Page 1 of 1: 10 shown of 10. 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 51 language tags shown of 367, by dataset count; the full filter by modality, task and language is on /datasets
Azerbaijani datasets 1–10 of 10
OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms.
1,305 papers · 3 benchmarks
This corpus comprises of monolingual data for 100+ languages and also includes data for romanized languages.
115 papers · 0 benchmarks
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
X-FACT is a large publicly available multilingual dataset for factual verification of naturally existing real-world claims.
16 papers · 0 benchmarks
AzSLD (AzSLD - Azerbaijani Sign Language Dataset)
The Azerbaijani Sign Language Dataset (AzSLD) is a comprehensive, large dataset designed to facilitate the development and evaluation of machine learning models for the recognition and translation of Azerbaijani Sign Language (AzSL).
1 paper · 0 benchmarks
HALvest is a textual dataset comprising 17 billion tokens in 56 languages and 13 domains.
1 paper · 0 benchmarks
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
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
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.