Home › Datasets › modality › Texts
Texts datasets
archive 2025-07-283,130 datasets carry the modality tag "Texts", ordered by the archive's paper count. Page 16 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 721–768 of 3,130
ToolQA is a question answering benchmark for Large Language Models (LLMs) which is designed to faithfully evaluate LLMs' ability to use external tools for question answering.
16 papers · 0 benchmarks
TripClick is a large-scale dataset of click logs in the health domain, obtained from user interactions of the Trip Database health web search engine.
16 papers · 0 benchmarks
The TweepFake dataset consists of 25,572 social media messages posted either by bots or humans on Twitter.
16 papers · 1 benchmark
The ViGGO corpus is a set of 6,900 meaning representation to natural language utterance pairs in the video game domain.
16 papers · 1 benchmark
Wukong is a large-scale Chinese cross-modal dataset for benchmarking different multi-modal pre-training methods to facilitate the Vision-Language Pre-training (VLP).
16 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
e-SNLI-VE is a large VL (vision-language) dataset with NLEs (natural language explanations) with over 430k instances for which the explanations rely on the image content.
16 papers · 2 benchmarks
ArSarcasm-v2 is an extension of the original ArSarcasm dataset published along with the paper From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset.
15 papers · 0 benchmarks
CMU DoG (CMU Document Grounded Conversations Dataset)
This is a document grounded dataset for text conversations.
15 papers · 0 benchmarks
CPED (Chinese Personalized and Emotional Dialogue)
We construct a dataset named CPED from 40 Chinese TV shows.
15 papers · 3 benchmarks
CelebV-Text comprises 70,000 in-the-wild face video clips with diverse visual content, each paired with 20 texts generated using the proposed semi-automatic text generation strategy.
15 papers · 0 benchmarks
A large-scale video dataset, featuring clips from movies with detailed captions.
15 papers · 1 benchmark
The beginnings of a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle's COVID-19 Open Research Dataset Challenge.
15 papers · 0 benchmarks
CrossNER is a cross-domain NER (Named Entity Recognition) dataset, a fully-labeled collection of NER data spanning over five diverse domains (Politics, Natural Science, Music, Literature, and Artificial Intelligence) with specialized…
15 papers · 1 benchmark
The DUC2004 dataset is a dataset for document summarization.
15 papers · 4 benchmarks
FaVIQ (Fact Verification from Information-seeking Questions)
FaVIQ (Fact Verification from Information-seeking Questions) is a challenging and realistic fact verification dataset that reflects confusions raised by real users.
15 papers · 0 benchmarks
Fakeddit is a novel multimodal dataset for fake news detection consisting of over 1 million samples from multiple categories of fake news.
15 papers · 0 benchmarks
15 papers · 0 benchmarks
JEEBench is a considerably more challenging benchmark dataset for evaluating the problem solving abilities of LLMs.
15 papers · 0 benchmarks
MMHS150k (Multimodal Hate Speech)
Existing hate speech datasets contain only textual data.
15 papers · 0 benchmarks
MedVidQA (Medical Video Question Answering)
The MedVidQA dataset contains the collection of 3, 010 manually created health-related questions and timestamps as visual answers to those questions from trusted video sources, such as accredited medical schools with an established…
15 papers · 0 benchmarks
MuCGEC (Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction)
MuCGEC is a multi-reference multi-source evaluation dataset for Chinese Grammatical Error Correction (CGEC), consisting of 7,063 sentences collected from three different Chinese-as-a-Second-Language (CSL) learner sources.
15 papers · 1 benchmark
Large-scale American Sign Language (ASL) - English dataset collected from online video sites (e.g., YouTube).
15 papers · 0 benchmarks
Opusparcus is a paraphrase corpus for six European languages: German, English, Finnish, French, Russian, and Swedish.
15 papers · 0 benchmarks
Pile of Law is a ∼256GB (and growing) dataset of legal and administrative data which can be used for assessing norms on data sanitization across legal and administrative settings.
15 papers · 0 benchmarks
Project CodeNet is a large-scale dataset with approximately 14 million code samples, each of which is an intended solution to one of 4000 coding problems.
15 papers · 0 benchmarks
PubTables-1M (PubMed Tables One Million)
The goal of PubTables-1M is to create a large, detailed, high-quality dataset for training and evaluating a wide variety of models for the tasks of table detection, table structure recognition, and functional analysis.
15 papers · 0 benchmarks
A large-scale dataset for retrieval and event localisation in video.
15 papers · 1 benchmark
A Benchmark for Robust Multi-Hop Spatial Reasoning in Texts
15 papers · 1 benchmark
xCodeEval is one of the largest executable multilingual multitask benchmarks consisting of 17 programming languages with execution-level parallelism.
15 papers · 0 benchmarks
AVSD (Audio-Visual Scene-Aware Dialog)
The Audio Visual Scene-Aware Dialog (AVSD) dataset, or DSTC7 Track 3, is a audio-visual dataset for dialogue understanding.
14 papers · 1 benchmark
AmazonQA consists of 923k questions, 3.6M answers and 14M reviews across 156k products.
14 papers · 0 benchmarks
ArSarcasm is a new Arabic sarcasm detection dataset.
14 papers · 0 benchmarks
BabyLM is a dataset for small scale language modeling, human language acquisition, low-resource NLP, and cognitive modeling.
14 papers · 0 benchmarks
The Collaborative Drawing game (CoDraw) dataset contains ~10K dialogs consisting of ~138K messages exchanged between human players in the CoDraw game.
14 papers · 0 benchmarks
A SemEval shared task in which participants must extract definitions from free text using a term-definition pair corpus that reflects the complex reality of definitions in natural language.
14 papers · 0 benchmarks
The Dakshina dataset is a collection of text in both Latin and native scripts for 12 South Asian languages.
14 papers · 0 benchmarks
DuLeMon (Baidu Long-term Memory Conversation)
DuLeMon is a large-scale Chinese Long-term Memory Conversation dataset, which simulates long-term memory conversations and focuses on the ability to actively construct and utilize the user's and the bot's persona in a long-term interaction.
14 papers · 0 benchmarks
GlobalOpinionQA consists of questions and answers from cross-national surveys designed to capture diverse opinions on global issues across different countries.
14 papers · 0 benchmarks
Inter-X is a large-scale dataset containing ~11K interaction sequences, more than 8.1M frames and 34K fine-grained human textual descriptions.
14 papers · 1 benchmark
KUAKE-QIC (Query Intent Classification Dataset)
KUAKE Query Intent Classification, a dataset for intent classification, is used for the KUAKE-QIC task.
14 papers · 1 benchmark
M3KE (Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark)
M3KE is a Massive Multi-Level Multi-Subject Knowledge Evaluation benchmark, which is developed to measure knowledge acquired by Chinese large language models by testing their multitask accuracy in zero- and few-shot settings.
14 papers · 0 benchmarks
MAVE (MAVE: : A Product Dataset for Multi-source Attribute Value Extraction)
The dataset contains 3 million attribute-value annotations across 1257 unique categories created from 2.2 million cleaned Amazon product profiles.
14 papers · 2 benchmarks
MIntRec is a novel dataset for multimodal intent recognition.
14 papers · 1 benchmark
MedDG is a large-scale high-quality Medical Dialogue dataset related to 12 types of common Gastrointestinal diseases.
14 papers · 0 benchmarks
With the same format as WikiHop, the MedHop dataset is based on research paper abstracts from PubMed, and the queries are about interactions between pairs of drugs.
14 papers · 0 benchmarks
OVAD benchmark (Open-Vocabulary Attribute Detection)
Vision-language modeling has enabled open-vocabulary tasks where predictions can be queried using any text prompt in a zero-shot manner.
14 papers · 3 benchmarks
OVBench is a benchmark tailored for real-time video understanding: - Memory, Perception, and Prediction of Temporal Contexts: Questions are framed to reference the present state of entities, requiring models to memorize/perceive/predict…
14 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.