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Japanese datasets

archive 2025-07-28

111 datasets carry the language tag "Japanese", ordered by the archive's paper count. Page 1 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

Japanese datasets 1–48 of 111

The LibriSpeech corpus is a collection of approximately 1,000 hours of audiobooks that are a part of the LibriVox project.
2,361 papers · 4 benchmarks
The Universal Dependencies (UD) project seeks to develop cross-linguistically consistent treebank annotation of morphology and syntax for multiple languages.
520 papers · 5 benchmarks
Common Voice is an audio dataset that consists of a unique MP3 and corresponding text file.
449 papers · 143 benchmarks
Manga109 has been compiled by the Aizawa Yamasaki Matsui Laboratory, Department of Information and Communication Engineering, the Graduate School of Information Science and Technology, the University of Tokyo.
300 papers · 12 benchmarks
PAWS-X contains 23,659 human translated PAWS evaluation pairs and 296,406 machine translated training pairs in six typologically distinct languages: French, Spanish, German, Chinese, Japanese, and Korean.
172 papers · 0 benchmarks
The Microsoft Academic Graph is a heterogeneous graph containing scientific publication records, citation relationships between those publications, as well as authors, institutions, journals, conferences, and fields of study.
124 papers · 0 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
Kuzushiji-MNIST is a drop-in replacement for the MNIST dataset (28x28 grayscale, 70,000 images).
97 papers · 2 benchmarks
JAFFE (Japanese Female Facial Expression)
The JAFFE dataset consists of 213 images of different facial expressions from 10 different Japanese female subjects.
93 papers · 4 benchmarks
ASPEC (Asian Scientific Paper Excerpt Corpus)
ASPEC, Asian Scientific Paper Excerpt Corpus, is constructed by the Japan Science and Technology Agency (JST) in collaboration with the National Institute of Information and Communications Technology (NICT).
87 papers · 0 benchmarks
WikiANN (PAN-X)
WikiANN, also known as PAN-X, is a multilingual named entity recognition dataset.
72 papers · 4 benchmarks
CoVoST2 (Common Voice Speech-To-Text 2)
End-to-end speech-to-text translation (ST) has recently witnessed an increased interest given its system simplicity, lower inference latency and less compounding errors compared to cascaded ST (i.e.
66 papers · 0 benchmarks
DBP15k contains four language-specific KGs that are respectively extracted from English (En), Chinese (Zh), French (Fr) and Japanese (Ja) DBpedia, each of which contains around 65k-106k entities.
65 papers · 3 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
BEAT (Body-Expression-Audio-Text)
BEAT has i) 76 hours, high-quality, multi-modal data captured from 30 speakers talking with eight different emotions and in four different languages, ii) 32 millions frame-level emotion and semantic relevance annotations.
56 papers · 1 benchmark
MLDoc (Multilingual Document Classification Corpus)
Multilingual Document Classification Corpus (MLDoc) is a cross-lingual document classification dataset covering English, German, French, Spanish, Italian, Russian, Japanese and Chinese.
53 papers · 8 benchmarks
The Machine Translation of Noisy Text (MTNT) dataset is a Machine Translation dataset that consists of noisy comments on Reddit and professionally sourced translation.
52 papers · 0 benchmarks
WikiLingua includes ~770k article and summary pairs in 18 languages from WikiHow.
52 papers · 1 benchmark
MKQA (Multilingual Knowledge Questions and Answers)
Multilingual Knowledge Questions and Answers (MKQA) is an open-domain question answering evaluation set comprising 10k question-answer pairs aligned across 26 typologically diverse languages (260k question-answer pairs in total).
49 papers · 0 benchmarks
RWC (Real World Computing Music Database)
The RWC (Real World Computing) Music Database is a copyright-cleared music database (DB) that is available to researchers as a common foundation for research.
43 papers · 0 benchmarks
AVSpeech is a large-scale audio-visual dataset comprising speech clips with no interfering background signals.
42 papers · 0 benchmarks
CoVoST is a large-scale multilingual speech-to-text translation corpus.
34 papers · 0 benchmarks
WMT 2020 is a collection of datasets used in shared tasks of the Fifth Conference on Machine Translation.
33 papers · 0 benchmarks
IGLUE (Image-Grounded Language Understanding Evaluation)
The Image-Grounded Language Understanding Evaluation (IGLUE) benchmark brings together—by both aggregating pre-existing datasets and creating new ones—visual question answering, cross-modal retrieval, grounded reasoning, and grounded…
31 papers · 0 benchmarks
XM 3600 (Crossmodal 3600)
Research in massively multilingual image captioning has been severely hampered by a lack of high-quality evaluation datasets.
28 papers · 0 benchmarks
CVSS is a massively multilingual-to-English speech to speech translation (S2ST) corpus, covering sentence-level parallel S2ST pairs from 21 languages into English.
26 papers · 1 benchmark
OASST1 (OpenAssistant Conversations Dataset)
license: apache-2.0 tags: human-feedback sizecategories: 100K Languages with under 1000 messages Vietnamese: 952 Basque: 947 Polish: 886 Hungarian: 811 Arabic: 666 Dutch: 628 Swedish: 512 Turkish: 454 Finnish: 386 Czech: 372 Danish: 358…
25 papers · 0 benchmarks
BEAT2 (BEAT-SMPLX-FLAME)
We propose EMAGE, a framework to generate full-body human gestures from audio and masked gestures, encompassing facial, local body, hands, and global movements.
23 papers · 2 benchmarks
DocUNet (Document Image Unwarping via a Stacked U-Net)
Various documents dataset.
23 papers · 3 benchmarks
XGLUE is an evaluation benchmark XGLUE,which is composed of 11 tasks that span 19 languages.
22 papers · 2 benchmarks
MINTAKA is a complex, natural, and multilingual dataset designed for experimenting with end-to-end question-answering models.
20 papers · 0 benchmarks
XFUND (A Multilingual Form Understanding Benchmark)
XFUND is a multilingual form understanding benchmark dataset that includes human-labeled forms with key-value pairs in 7 languages (Chinese, Japanese, Spanish, French, Italian, German, Portuguese).
20 papers · 0 benchmarks
xSID (Cross-lingual Slot and Intent Detection)
xSID, a new evaluation benchmark for cross-lingual (X) Slot and Intent Detection in 13 languages from 6 language families, including a very low-resource dialect, covering Arabic (ar), Chinese (zh), Danish (da), Dutch (nl), English (en),…
18 papers · 0 benchmarks
JESC (Japanese-English Subtitle Corpus)
Japanese-English Subtitle Corpus is a large Japanese-English parallel corpus covering the underrepresented domain of conversational dialogue.
17 papers · 0 benchmarks
JVS is a Japanese multi-speaker voice corpus which contains voice data of 100 speakers in three styles (normal, whisper, and falsetto).
13 papers · 0 benchmarks
Synbols is a dataset generator designed for probing the behavior of learning algorithms.
11 papers · 0 benchmarks
VoxForge is an open speech dataset that was set up to collect transcribed speech for use with Free and Open Source Speech Recognition Engines (on Linux, Windows and Mac).
11 papers · 9 benchmarks
This is the dataset for the 2020 Duolingo shared task on Simultaneous Translation And Paraphrase for Language Education (STAPLE).
10 papers · 0 benchmarks
MCoNaLa (Multilingual CoNaLa)
MCoNaLa is a multilingual dataset to benchmark code generation from natural language commands extending beyond English.
10 papers · 0 benchmarks
The Japanese-English business conversation corpus, namely Business Scene Dialogue corpus, was constructed in 3 steps: 1.
9 papers · 2 benchmarks
Global Voices is a multilingual dataset for evaluating cross-lingual summarization methods.
9 papers · 0 benchmarks
Emilia Dataset (An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation)
Recent advancements in speech generation models have been significantly driven by the use of large-scale training data.
8 papers · 0 benchmarks
JSUT Corpus is a free large-scale speech corpus that can be shared between academic institutions and commercial companies has an important role.
8 papers · 0 benchmarks
RFUND (Revised FUNSD and XFUND)
RFUND is a relabeled version of FUNSD and XFUND datasets, tackling the following issues in their original annotations: 1.
8 papers · 0 benchmarks
Demetr is a diagnostic dataset with 31K English examples (translated from 10 source languages) for evaluating the sensitivity of MT evaluation metrics to 35 different linguistic perturbations spanning semantic, syntactic, and morphological…
7 papers · 0 benchmarks
JGLUE, Japanese General Language Understanding Evaluation, is built to measure the general NLU ability in Japanese.
7 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.