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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 27 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 1249–1296 of 3,130
PSI (IUPUI-CSRC Pedestrian Situated Intent)
The IUPUI-CSRC Pedestrian Situated Intent (PSI) benchmark dataset has two innovative labels besides comprehensive computer vision annotations.
5 papers · 0 benchmarks
ParaQA is a question answering (QA) dataset with multiple paraphrased responses for single-turn conversation over knowledge graphs (KG).
5 papers · 0 benchmarks
PerSenT is a dataset of crowd-sourced annotations of the sentiment expressed by the authors towards the main entities in news articles.
5 papers · 0 benchmarks
PyTorrent contains 218,814 Python package libraries from PyPI and Anaconda environment.
5 papers · 0 benchmarks
QAConv is a new question answering (QA) dataset that uses conversations as a knowledge source.
5 papers · 0 benchmarks
READ 2016 (HTR Dataset ICFHR 2016)
This dataset arises from the READ project (Horizon 2020).
5 papers · 1 benchmark
RRS Ranking Test (Restoration-200k for Response Selection with Ranking Test Set)
| | 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…
5 papers · 1 benchmark
RTL-Repo is a benchmark for evaluating LLMs' effectiveness in generating Verilog code autocompletions within large, complex codebases.
5 papers · 0 benchmarks
RUN (The RUN Dataset)
The RUN dataset is based on OpenStreetMap (OSM).
5 papers · 0 benchmarks
RiSAWOZ is a large-scale multi-domain Chinese Wizard-of-Oz dataset with Rich Semantic Annotations.
5 papers · 0 benchmarks
The Russian Corpus of Linguistic Acceptability (RuCoLA) is built from the ground up under the well-established binary LA approach.
5 papers · 1 benchmark
RuCoS (Russian Reading Comprehension with Commonsense Reasoning)
Russian reading comprehension with Commonsense reasoning (RuCoS) is a large-scale reading comprehension dataset that requires commonsense reasoning.
5 papers · 1 benchmark
Ruddit is a dataset of English language Reddit comments that has fine-grained, real-valued scores for offensive language detection between -1 (maximally supportive) and 1 (maximally offensive).
5 papers · 0 benchmarks
SAFIM (Syntax-Aware Fill-In-the-Middle)
Syntax-Aware Fill-in-the-Middle (SAFIM) is a benchmark for evaluating Large Language Models (LLMs) on the code Fill-in-the-Middle (FIM) task.
5 papers · 1 benchmark
The SOFC-Exp corpus contains 45 scientific publications about solid oxide fuel cells (SOFCs), published between 2013 and 2019 as open-access articles all with a CC-BY license.
5 papers · 0 benchmarks
A large-scale evaluation set that provides human ratings for the plausibility of 10,000 SP pairs over five SP relations, covering 2,500 most frequent verbs, nouns, and adjectives in American English.
5 papers · 0 benchmarks
SSN (Semantic Scholar Network)
SSN (short for Semantic Scholar Network) is a scientific papers summarization dataset which contains 141K research papers in different domains and 661K citation relationships.
5 papers · 0 benchmarks
STACKEX expands beyond the only existing genre (i.e., academic writing) in keyphrase generation tasks.
5 papers · 0 benchmarks
The Sarcasm Corpus contains sarcastic and non-sarcastic utterances of three different types, which are balanced with half of the samples being sarcastic and half non-sarcastic.
5 papers · 0 benchmarks
SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model
5 papers · 0 benchmarks
The Song Describer Dataset (SDD) contains ~1.1k captions for 706 permissively licensed music recordings.
5 papers · 1 benchmark
SpaRTUN a dataset synthesized for transfer learning on spatial question answering (SQA) and spatial role labeling (SpRL).
5 papers · 0 benchmarks
Species-800 is a corpus for species entities, which is based on manually annotated abstracts.
5 papers · 1 benchmark
The SUGARCREPE++ dataset evaluates the sensitivity of vision language models (VLMs) and unimodal language models (ULMs) to semantic and lexical alterations.
5 papers · 0 benchmarks
Internet Archive videos (IACC.3) under Creative Commons licenses.
5 papers · 1 benchmark
Internet Archive videos (IACC.3) under Creative Commons licenses.
5 papers · 1 benchmark
Internet Archive videos (IACC.3) under Creative Commons licenses.
5 papers · 1 benchmark
Taiga Corpus (An open-source corpus for machine learning.)
Taiga is a corpus, where text sources and their meta-information are collected according to popular ML tasks.
5 papers · 0 benchmarks
The Taskmaster-2 dataset consists of 17,289 dialogs in seven domains: restaurants (3276), food ordering (1050), movies (3047), hotels (2355), flights (2481), music (1602), and sports (3478).
5 papers · 0 benchmarks
A collection of 2511 recipes for zero-shot learning, recognition and anticipation.
5 papers · 0 benchmarks
Test-of-Time (Test of Time Synthetic Video Dataset)
The goal of this dataset is to probe video-language models for understanding of simple temporal relations like "before" and "after".
5 papers · 1 benchmark
A Dense-text Image Benchmark to evaluate large generation model's ability on text generation.
5 papers · 1 benchmark
ToLD-Br (Toxic Language Detection for Brazilian Portuguese)
The Toxic Language Detection for Brazilian Portuguese (ToLD-Br) is a dataset with tweets in Brazilian Portuguese annotated according to different toxic aspects.
5 papers · 1 benchmark
TutorialVQA is a new type of dataset used to find answer spans in tutorial videos.
5 papers · 0 benchmarks
80k tweets annotated concerning Inappropriate Speech (more particularly in matters of Abusive and Hateful speech) as well as Normal and Spam.
5 papers · 0 benchmarks
Twitter-MEL is a multimodal entity linking (MEL) dataset built from Twitter.
5 papers · 0 benchmarks
Twitter100k is a large-scale dataset for weakly supervised cross-media retrieval.
5 papers · 0 benchmarks
VQA-VS (a new VQA benchmark considering Varying Shortcuts)
The current OOD benchmark VQA-CP v2 only considers one type of shortcut (from question type to answer) and thus still cannot guarantee that the modelrelies on the intended solution rather than a solution specific to this shortcut.
5 papers · 0 benchmarks
The Vent dataset is a large annotated dataset of text, emotions, and social connections.
5 papers · 0 benchmarks
VidChapters-7M is a dataset of 817K user-chaptered videos including 7M chapters in total.
5 papers · 4 benchmarks
WikiHowQA is a Community-based Question Answering dataset, which can be used for both answer selection and abstractive summarization tasks.
5 papers · 0 benchmarks
This dataset gathers 428,748 person and 12,236 animal infobox with descriptions based on Wikipedia dump (2018/04/01) and Wikidata (2018/04/12).
5 papers · 3 benchmarks
This dataset is collected via the WinoGAViL game to collect challenging vision-and-language associations.
5 papers · 2 benchmarks
YACLC (Yet Another Chinese Learner Corpus)
YACLC is a large scale, multidimensional annotated Chinese learner corpus.
5 papers · 0 benchmarks
7,672 human written natural language navigation instructions for routes in OpenStreetMap with a focus on visual landmarks.
5 papers · 2 benchmarks
word2word contains easy-to-use word translations for 3,564 language pairs.
5 papers · 0 benchmarks
A Game Of Sorts is a collaborative image ranking task.
4 papers · 0 benchmarks
ALTA 2021 Shared Task (Automatic Grading of Evidence, 10 years later)
This dataset is described in the ALTA 2021 Shared Task website and associated CodaLab competition.
4 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.