Home › Datasets › language › Japanese
Japanese datasets
archive 2025-07-28111 datasets carry the language tag "Japanese", ordered by the archive's paper count. Page 2 of 3: 48 shown of 111. 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
Japanese datasets 49–96 of 111
7 papers · 0 benchmarks
OBP (Open Bandit Dataset)
Open Bandit Dataset is a public real-world logged bandit feedback data.
7 papers · 0 benchmarks
Concepticon (Concepticon. A Resource for the Linking of Concept Lists)
This resource, our Concepticon, links concept labels from different conceptlists to concept sets.
6 papers · 0 benchmarks
GTSinger (GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks)
The scarcity of high-quality and multi-task singing datasets significantly hinders the development of diverse controllable and personalized singing tasks, as existing singing datasets suffer from low quality, limited diversity of languages…
6 papers · 0 benchmarks
We introduce HumanEval-XL, a massively multilingual code generation benchmark specifically crafted to address this deficiency.
6 papers · 0 benchmarks
JParaCrawl is a parallel corpus for English-Japanese, for which the amount of publicly available parallel corpora is still limited.
6 papers · 0 benchmarks
We present a further analysis of visual modality incompleteness, benchmarking latest MMEA models on our proposed dataset MMEA-UMVM.
6 papers · 3 benchmarks
XL-BEL is a benchmark for cross-lingual biomedical entity linking (XL-BEL).
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
A large-scale anime image database with 4.2m+ images annotated with 130m+ text tags describing image contents in detail; it can be useful for machine learning purposes such as image recognition and generation.
4 papers · 0 benchmarks
JaQuAD (Japanese Question Answering Dataset) is a question answering dataset in Japanese that consists of 39,696 extractive question-answer pairs on Japanese Wikipedia articles.
4 papers · 1 benchmark
MultiSpider is a large multilingual text-to-SQL dataset which covers seven languages (English, German, French, Spanish, Japanese, Chinese, and Vietnamese).
4 papers · 0 benchmarks
STAIR Captions is a large-scale dataset containing 820,310 Japanese captions.
4 papers · 0 benchmarks
The WikiSem500 dataset contains around 500 per-language cluster groups for English, Spanish, German, Chinese, and Japanese (a total of 13,314 test cases).
4 papers · 0 benchmarks
XWINO is a multilingual collection of Winograd Schemas in six languages that can be used for evaluation of cross-lingual commonsense reasoning capabilities.
4 papers · 1 benchmark
JaNLI (Japanese Adversarial Natural Language Inference)
The Japanese Adversarial NLI (JaNLI) dataset is designed to require understanding of Japanese linguistic phenomena and illuminate the vulnerabilities of models.
3 papers · 0 benchmarks
MRS (Multilingual Reply Suggestion)
MRS, a multilingual reply suggestion dataset with ten languages.
3 papers · 0 benchmarks
Multilingual TOP is a dataset for multilingual semantic parsing with human-written sentences as opposed to machine translated ones.
3 papers · 0 benchmarks
Wikipedia Title is a dataset for learning character-level compositionality from the character visual characteristics.
3 papers · 0 benchmarks
xMIND (A Multilingual Dataset for Cross-lingual News Recommendation)
xMIND is an open, large-scale multilingual news dataset for multi- and cross-lingual news recommendation.
3 papers · 0 benchmarks
AM2iCo (Adversarial and Multilingual Meaning in Context)
AM2iCo is a wide-coverage and carefully designed cross-lingual and multilingual evaluation set.
2 papers · 0 benchmarks
BoostCLIR is a bilingual (Japanese-English) corpus of patent abstracts, extracted from the MAREC patent data, and the data from the NTCIR PatentMT workshop collections, accompanied with relevance judgements for the task of patent prior-art…
2 papers · 0 benchmarks
JNC (Japanese News Corpus)
The JNC data provides common supervision data for headline generation.
2 papers · 0 benchmarks
This dataset contains information about Japanese word similarity including rare words.
2 papers · 0 benchmarks
KGRC-RDF-star is an RDF-star dataset converted from KGRC-RDF, which is a Knowledge graph dataset of novel stories.
2 papers · 0 benchmarks
LaboroTVSpeech is a large-scale Japanese speech corpus built from broadcast TV recordings and their subtitles.
2 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
MultiTACRED is a multilingual version of the large-scale TAC Relation Extraction Dataset.
2 papers · 0 benchmarks
NoW (Noise of Web)
Noise of Web (NoW) is a challenging noisy correspondence learning (NCL) benchmark for robust image-text matching/retrieval models.
2 papers · 0 benchmarks
Sakuga-42M is a large-scale hand-drawn cartoon video dataset for academic research purposes, it comprises 42 million cartoon keyframes covering various artistic styles, regions, and years, with comprehensive semantic annotations including…
2 papers · 0 benchmarks
WikiTableSet (Wikipedia Table Image Dataset)
WikiTableSet is a large publicly available image-based table recognition dataset in three languages built from Wikipedia.
2 papers · 0 benchmarks
AQL-22 (Archive Query Log)
The Archive Query Log (AQL) is a previously unused, comprehensive query log collected at the Internet Archive over the last 25 years.
1 paper · 0 benchmarks
BPersona-chat is an evaluation dataset based on the English multiturn chat corpus Persona-chat and the Japanese multiturn chat corpus JPersona-chat.
1 paper · 0 benchmarks
GPR-bench (General‑Purpose Reproducibility Benchmark)
GPR‑bench is an open‑source, multilingual benchmark for regression testing and reproducibility tracking in generative‑AI systems.
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
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
The JPersonaChat dataset is built by NTT CS LAB for Japanese dialog transformers models.
1 paper · 0 benchmarks
LEMONADE is a large, expert-annotated dataset for event extraction from news articles in 20 languages: English, Spanish, Arabic, French, Italian, Russian, German, Turkish, Burmese, Indonesian, Ukrainian, Korean, Portuguese, Dutch, Somali,…
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
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
1 paper · 0 benchmarks
This data adds textual meta-infomation data to two existing corpora for cross language information retrieval: BoostCLIR, and the Large Scale CLIR Dataset (wiki-clir).
1 paper · 0 benchmarks
NAIST COVID is a multilingual dataset of social media posts related to COVID-19, consisting of microblogs in English and Japanese from Twitter and those in Chinese from Weibo.
1 paper · 0 benchmarks
Noise of Web (NoW)
Noise of Web (NoW) is a challenging noisy correspondence learning (NCL) benchmark for robust image-text matching/retrieval models.
1 paper · 0 benchmarks
PheMT is a phenomenon-wise dataset designed for evaluating the robustness of Japanese-English machine translation systems.
1 paper · 0 benchmarks
Poly-FEVER is a multilingual fact verification benchmark designed to evaluate hallucination detection in large language models (LLMs).
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.