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Texts datasets
archive 2025-07-283,130 datasets carry the modality tag "Texts", ordered by the archive's paper count. Page 22 of 66: 48 shown of 3,130. 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 39 modality tags shown of 39, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Images 3,239Texts 3,130Videos 1,014Audio 480Medical 3943D 380Time series 294Graphs 282Tabular 267Speech 197RGB-D 190Environment 147Point cloud 134Biomedical 122LiDAR 94RGB Video 87Tracking 77Biology 70Actions 673d meshes 64Tables 50Music 47EEG 44Hyperspectral images 44Stereo 44MRI 39Physics 32Interactive 29Dialog 25Midi 226D 17Replay data 11Financial 10Ranking 10Cad 9fMRI 7Parallel 6Lyrics 2PSG 2
Texts datasets 1009–1056 of 3,130
Peyma is a Persian NER dataset to train and test NER systems.
8 papers · 0 benchmarks
QA2D (Question to Declarative Sentence (QA2D) Dataset)
The Question to Declarative Sentence (QA2D) Dataset contains 86k question-answer pairs and their manual transformation into declarative sentences.
8 papers · 0 benchmarks
QUASAR-S (QUestion Answering by Search And Reading – Stack Overflow)
QUASAR-S is a large-scale dataset aimed at evaluating systems designed to comprehend a natural language query and extract its answer from a large corpus of text.
8 papers · 0 benchmarks
Consists of multiple sentences whose clues are arranged by difficulty (from obscure to obvious) and uniquely identify a well-known entity such as those found on Wikipedia.
8 papers · 1 benchmark
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
8 papers · 1 benchmark
RIMES (Reconnaissance & Indexation de données Manuscrites et de fac similÉS / Recognition & Indexing of handwritten documents & faxes)
The RIMES database (Reconnaissance et Indexation de données Manuscrites et de fac similÉS / Recognition and Indexing of handwritten documents and faxes) was created to evaluate automatic systems of recognition and indexing of handwritten…
8 papers · 0 benchmarks
RRS (Restoration-200k for Response Selection)
| | Train | Validation | Test | Ranking Test | | --------- | ----- | ---------- | ------- | ------------ | | size | 0.4M | 50K | 5K | 800 | | pos:neg | 1:1 | 1:9 | 1.2:8.8 | - | | avg turns | 5.0 | 5.0 | 5.0 | 5.0 | Ranking test set…
8 papers · 1 benchmark
RUSSE (Russian Words in Context (based on RUSSE))
WiC: The Word-in-Context Dataset A reliable benchmark for the evaluation of context-sensitive word embeddings.
8 papers · 1 benchmark
SciGraphQA is a large-scale, open-domain dataset focused on generating multi-turn conversational question-answering dialogues centered around understanding and describing scientific graphs and figures.
8 papers · 0 benchmarks
NLPContributionGraph was introduced as Task 11 at SemEval 2021 for the first time.
8 papers · 0 benchmarks
We introduce a new audio dataset called SoundDescs that can be used for tasks such as text to audio retrieval, audio captioning etc.
8 papers · 1 benchmark
Spider 2.0 is a comprehensive code generation agent task that includes 632 examples.
8 papers · 1 benchmark
SubjQA is a question answering dataset that focuses on subjective (as opposed to factual) questions and answers.
8 papers · 0 benchmarks
T³Bench is the first comprehensive text-to-3D benchmark containing diverse text prompts of three increasing complexity levels that are specially designed for 3D generation (300 prompts in total).
8 papers · 1 benchmark
TalkDown is a labelled dataset for condescension detection in context.
8 papers · 0 benchmarks
UKP (UKP Argument Annotated Essays)
The UKP Argument Annotated Essays corpus consists of argument annotated persuasive essays including annotations of argument components and argumentative relations.
8 papers · 0 benchmarks
The Video-based Multimodal Summarization with Multimodal Output (VMSMO) corpus consists of 184,920 document-summary pairs, with 180,000 training pairs, 2,460 validation and test pairs.
8 papers · 0 benchmarks
8 papers · 0 benchmarks
VideoXum is an enriched large-scale dataset for cross-modal video summarization.
8 papers · 1 benchmark
WANDS (Wayfair ANnotation Dataset)
The dataset contains: 42,994 candidate products with data comprising product class, title, description, attributes, category hierarchy, average rating, and number of reviews 480 search query strings with predicted product class 233,448…
8 papers · 0 benchmarks
WMT 2018 News (WMT 2018 News Translation Task)
News translation is a recurring WMT task.
8 papers · 0 benchmarks
The WebUI dataset contains 400K web UIs captured over a period of 3 months and cost about $500 to crawl.
8 papers · 0 benchmarks
Who's Waldo is a dataset of 270K image–caption pairs, depicting interactions of people, that is automatically mined from Wikimedia Commons.
8 papers · 1 benchmark
We manually performed the task of Open Information Extraction on 5 short documents, elaborating tentative guidelines for the task, and resulting in a ground truth reference of 347 tuples.
8 papers · 1 benchmark
WikiTableT contains Wikipedia article sections and their corresponding tabular data and various metadata.
8 papers · 0 benchmarks
8 papers · 0 benchmarks
ACES (A Translation Accuracy Challenge Set)
ACES a dataset consisting of 68 phenomena ranging from simple perturbations at the word/character level to more complex errors based on discourse and real-world knowledge.
7 papers · 1 benchmark
BiSECT is a dataset for sentence simplification, which is the ability to take a long, complex sentence and split it into shorter sentences, rephrasing as necessary.
7 papers · 0 benchmarks
CEFR-SP contains 17k English sentences annotated with the levels based on the Common European Framework of Reference for Languages assigned by English-education professionals.
7 papers · 0 benchmarks
DBLP-QuAD (DBLP Question Answering Dataset)
In this work we create a question answering dataset over the DBLP scholarly knowledge graph (KG).
7 papers · 0 benchmarks
DaNetQA (Yes/no Question Answering Dataset for the Russian)
DaNetQA is a question answering dataset for yes/no questions.
7 papers · 1 benchmark
Evaluate a natural language code generation model on real data science pedagogical notebooks!
7 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
GHOSTS is the first natural-language dataset made and curated by working researchers in mathematics that (1) aims to cover graduate-level mathematics and (2) provides a holistic overview of the mathematical capabilities of language models.
7 papers · 0 benchmarks
GINC (Generative IN-Context learning Dataset)
GINC (Generative In-Context learning Dataset) is a small-scale synthetic dataset for studying in-context learning.
7 papers · 0 benchmarks
A large-scale corpus of Gulf Arabic consisting of 110 million words from 1,200 forum novels.
7 papers · 0 benchmarks
HBW (Human Bodies in the Wild)
Human Bodies in the Wild (HBW) is a validation and test set for body shape estimation.
7 papers · 0 benchmarks
HiREST (HIerarchical REtrieval and STep-captioning)
HiREST (HIerarchical REtrieval and STep-captioning) dataset is a benchmark that covers hierarchical information retrieval and visual/textual stepwise summarization from an instructional video corpus.
7 papers · 0 benchmarks
Hindi Visual Genome is a multimodal dataset consisting of text and images suitable for English-Hindi multimodal machine translation task and multimodal research.
7 papers · 0 benchmarks
HyperRED (Hyper-Relational Extraction Dataset)
HyperRED is a dataset for the new task of hyper-relational extraction, which extracts relation triplets together with qualifier information such as time, quantity or location.
7 papers · 1 benchmark
IQUAD (Interactive Question Answering Dataset)
IQUAD is a dataset for Visual Question Answering in interactive environments.
7 papers · 0 benchmarks
KUAKE-QQR (Query-Query Relevance Dataset)
KUAKE Query-Query Relevance, a dataset used to evaluate the relevance of the content expressed in two queries, is used for the KUAKE-QQR task.
7 papers · 1 benchmark
KUAKE-QTR (Query-Title Relevance Dataset)
KUAKE Query Title Relevance, a dataset used to estimate the relevance of the title of a query document, is used for the KUAKE-QTR task.
7 papers · 1 benchmark
Language-molecule models have emerged as an exciting direction for molecular discovery and understanding.
7 papers · 1 benchmark
LEVEN (Legal Event Detection Dataset)
Overview LEVEN is the largest Legal Event Detection dataset as well as the largest Chinese Event Detection dataset.
7 papers · 0 benchmarks
Large Scale Composed Image Retrieval (LaSCo) is a new dataset for Composed Image Retrieval (CoIR), x10 times larger than current ones.
7 papers · 1 benchmark
This work proposes Long-RVOS, a large-scale benchmark for long-term video object segmentation.
7 papers · 1 benchmark
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.