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Natural Language Inference datasets
archive 2025-07-2881 datasets carry the task tag "Natural Language Inference" (the task itself: Natural Language Inference), ordered by the archive's paper count. Page 1 of 2: 48 shown of 81. 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 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52
Natural Language Inference datasets 1–48 of 81
GLUE (General Language Understanding Evaluation benchmark)
General Language Understanding Evaluation (GLUE) benchmark is a collection of nine natural language understanding tasks, including single-sentence tasks CoLA and SST-2, similarity and paraphrasing tasks MRPC, STS-B and QQP, and natural…
3,197 papers · 13 benchmarks
MultiNLI (Multi-Genre Natural Language Inference)
The Multi-Genre Natural Language Inference (MultiNLI) dataset has 433K sentence pairs.
1,830 papers · 4 benchmarks
SNLI (Stanford Natural Language Inference)
The SNLI dataset (Stanford Natural Language Inference) consists of 570k sentence-pairs manually labeled as entailment, contradiction, and neutral.
1,311 papers · 1 benchmark
QNLI (Question-answering NLI)
The QNLI (Question-answering NLI) dataset is a Natural Language Inference dataset automatically derived from the Stanford Question Answering Dataset v1.1 (SQuAD).
1,234 papers · 3 benchmarks
MRPC (Microsoft Research Paraphrase Corpus)
Microsoft Research Paraphrase Corpus (MRPC) is a corpus consists of 5,801 sentence pairs collected from newswire articles.
786 papers · 4 benchmarks
WinoGrande is a large-scale dataset of 44k problems, inspired by the original WSC design, but adjusted to improve both the scale and the hardness of the dataset.
703 papers · 7 benchmarks
XNLI (Cross-lingual Natural Language Inference)
The Cross-lingual Natural Language Inference (XNLI) corpus is the extension of the Multi-Genre NLI (MultiNLI) corpus to 15 languages.
349 papers · 7 benchmarks
SICK (Sentences Involving Compositional Knowledge)
The Sentences Involving Compositional Knowledge (SICK) dataset is a dataset for compositional distributional semantics.
348 papers · 5 benchmarks
ANLI (Adversarial NLI)
The Adversarial Natural Language Inference (ANLI, Nie et al.) is a new large-scale NLI benchmark dataset, collected via an iterative, adversarial human-and-model-in-the-loop procedure.
287 papers · 3 benchmarks
PAWS (Paraphrase Adversaries from Word Scrambling)
Paraphrase Adversaries from Word Scrambling (PAWS) is a dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of…
159 papers · 0 benchmarks
e-SNLI is used for various goals, such as obtaining full sentence justifications of a model's decisions, improving universal sentence representations and transferring to out-of-domain NLI datasets.
139 papers · 1 benchmark
TabFact is a large-scale dataset which consists of 117,854 manually annotated statements with regard to 16,573 Wikipedia tables, their relations are classified as ENTAILED and REFUTED.
129 papers · 2 benchmarks
Visual Entailment (VE) consists of image-sentence pairs whereby a premise is defined by an image, rather than a natural language sentence as in traditional Textual Entailment tasks.
117 papers · 2 benchmarks
GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of (ambiguous pronoun, antecedent name), sampled from Wikipedia and released by Google AI Language for the evaluation of coreference resolution in practical…
104 papers · 0 benchmarks
The ListOps examples are comprised of summary operations on lists of single digit integers, written in prefix notation.
97 papers · 0 benchmarks
AQUA-RAT (Algebra Question Answering with Rationales)
Algebra Question Answering with Rationales (AQUA-RAT) is a dataset that contains algebraic word problems with rationales.
64 papers · 0 benchmarks
RTE (Recognizing Textual Entailment)
The Recognizing Textual Entailment (RTE) datasets come from a series of textual entailment challenges.
56 papers · 2 benchmarks
Quora Question Pairs (QQP) dataset consists of over 400,000 question pairs, and each question pair is annotated with a binary value indicating whether the two questions are paraphrase of each other.
55 papers · 8 benchmarks
OCNLI (Original Chinese Natural Language Inference)
OCNLI stands for Original Chinese Natural Language Inference.
44 papers · 0 benchmarks
SCROLLS (Standardized CompaRison Over Long Language Sequences)
SCROLLS (Standardized CompaRison Over Long Language Sequences) is an NLP benchmark consisting of a suite of tasks that require reasoning over long texts.
42 papers · 1 benchmark
Break is a question understanding dataset, aimed at training models to reason over complex questions.
39 papers · 0 benchmarks
MedQuAD (Medical Question Answering Dataset)
MedQuAD includes 47,457 medical question-answer pairs created from 12 NIH websites (e.g.
32 papers · 0 benchmarks
ContractNLI is a dataset for document-level natural language inference (NLI) on contracts whose goal is to automate/support a time-consuming procedure of contract review.
31 papers · 0 benchmarks
The HELP dataset is an automatically created natural language inference (NLI) dataset that embodies the combination of lexical and logical inferences focusing on monotonicity (i.e., phrase replacement-based reasoning).
30 papers · 1 benchmark
Chaos NLI is a Natural Language Inference (NLI) dataset with 100 annotations per example (for a total of 464,500 annotations) for some existing data points in the development sets of SNLI, MNLI, and Abductive NLI.
27 papers · 0 benchmarks
HeadQA is a multi-choice question answering testbed to encourage research on complex reasoning.
23 papers · 1 benchmark
XGLUE is an evaluation benchmark XGLUE,which is composed of 11 tasks that span 19 languages.
22 papers · 2 benchmarks
KLUE (Korean Language Understanding Evaluation)
Korean Language Understanding Evaluation (KLUE) benchmark is a series of datasets to evaluate natural language understanding capability of Korean language models.
21 papers · 1 benchmark
QuaRel is a crowdsourced dataset of 2771 multiple-choice story questions, including their logical forms.
20 papers · 0 benchmarks
Torque is an English reading comprehension benchmark built on 3.2k news snippets with 21k human-generated questions querying temporal relationships.
19 papers · 1 benchmark
InfoTabS comprises of human-written textual hypotheses based on premises that are tables extracted from Wikipedia info-boxes.
18 papers · 0 benchmarks
KorNLI is a Korean Natural Language Inference (NLI) dataset.
18 papers · 0 benchmarks
MED (Monotonicity Entailment Dataset)
MED is a new evaluation dataset that covers a wide range of monotonicity reasoning that was created by crowdsourcing and collected from linguistics publications.
18 papers · 1 benchmark
IndicGLUE (Indic General Language Understanding Evaluation Benchmark)
We now introduce IndicGLUE, the Indic General Language Understanding Evaluation Benchmark, which is a collection of various NLP tasks as de- scribed below.
16 papers · 4 benchmarks
WNLI (Winograd NLI)
The WNLI dataset is a part of the GLUE benchmark used for Natural Language Inference (NLI).
14 papers · 1 benchmark
KorSTS is a dataset for semantic textural similarity (STS) in Korean.
13 papers · 0 benchmarks
Story Commonsense is a new large-scale dataset with rich low-level annotations and establishes baseline performance on several new tasks, suggesting avenues for future research.
13 papers · 0 benchmarks
FLUE (French Language Understanding Evaluation)
FLUE is a French Language Understanding Evaluation benchmark.
12 papers · 0 benchmarks
TaxiNLI is a dataset collected based on the principles and categorizations of the aforementioned taxonomy.
11 papers · 0 benchmarks
The CommitmentBank is a corpus of 1,200 naturally occurring discourses whose final sentence contains a clause-embedding predicate under an entailment canceling operator (question, modal, negation, antecedent of conditional).
10 papers · 1 benchmark
NLI4CT dataset consists of 2,400 annotated statements with accompanying labels, CTRs, and evidence.
10 papers · 0 benchmarks
ART Dataset (Abductive Reasoning in narrative Text)
ART consists of over 20k commonsense narrative contexts and 200k explanations.
9 papers · 0 benchmarks
Natural Language Inference (NLI), also called Textual Entailment, is an important task in NLP with the goal of determining the inference relationship between a premise p and a hypothesis h.
9 papers · 1 benchmark
MedNLI (Medical Natural Language Inference)
The MedNLI dataset consists of the sentence pairs developed by Physicians from the Past Medical History section of MIMIC-III clinical notes annotated for Definitely True, Maybe True and Definitely False.
9 papers · 2 benchmarks
The SciTail dataset is an entailment dataset created from multiple-choice science exams and web sentences.
9 papers · 1 benchmark
SelQA is a dataset that consists of questions generated through crowdsourcing and sentence length answers that are drawn from the ten most prevalent topics in the English Wikipedia.
9 papers · 0 benchmarks
8 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
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.