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ABC-1MADSKAILabOne million CAD-quality 3D shapes drawn from the ABC dataset — the foundation training corpus for the Make-A-Shape and WaLa generative models.CAD Geometry CorpusExplore
active_matterpolymathic-aiHigh-fidelity simulations of self-propelled particle systems for benchmarking learned PDE solvers and emergent collective behaviour models.Physics SimulationExplore
aimo-validation-aimeAI-MOAIME I/II problems reformatted for AIMO challenge validation — 15-question integer-answer format, covering competition math at difficulty levels 5–9.Competition MathExplore
aimo-validation-amcAI-MOAMC 10/12 competition problems reformatted for AIMO challenge validation, covering algebra, geometry, and number theory at difficulty levels 1–5.Competition MathExplore
aimo-validation-math-level-4AI-MOLevel-4 MATH benchmark problems (pre-calculus difficulty) used for AIMO challenge validation and fine-grained model evaluation.Math ProblemsExplore
aimo-validation-math-level-5AI-MOLevel-5 MATH benchmark problems (highest difficulty) used for AIMO challenge validation and measuring the ceiling of model mathematical reasoning.Math ProblemsExplore
AirfRANS_originalPLAID-datasetsOriginal AirfRANS airfoil RANS simulation dataset — graph-structured CFD over NACA airfoils for benchmarking physics-informed and graph neural networks.Aerodynamics CFDExplore
AlphaFoldDBLiteFoldAlphaFoldDB prediction index — open database of predicted protein 3D structures with confidence scores, providing structural coverage for known protein sequences at scale.Predicted StructuresExplore
aops_rawAI-MORaw problem posts and discussion threads from the Art of Problem Solving forums, spanning AMC, AIME, and international olympiad competitions.Competition MathExplore
aqcat25-datasetSandboxAQ13.5M DFT calculation trajectories for heterogeneous catalysis and ML potential training.Computational ChemistryExplore
arxiv-abstracts-largeUniverseTBD1.7 million scholarly article abstracts spanning physics, computer science, and statistics from arXiv, structured for pretraining and fine-tuning astronomy and scientific language models.Scientific LiteratureExplore
AstroLLaVA_convosUniverseTBDAstronomical images paired with detailed captions and question-answer pairs sourced from APOD, ESO, and ESA Hubble archives, for training multimodal vision-language models on astrophysics.Multimodal AstronomyExplore
ATBAllTheBacteriaAllTheBacteria: a comprehensive collection of ~2 million bacterial genome assemblies from public sequence databases, standardized for large-scale genomic analysis.Microbial GenomicsExplore
AtompackLeMaterialAtompack — Hub-hosted public atomistic ML datasets distributed in the Atompack format, part of the broader LeMaterial effort to standardise atomistic data exchange.Atomistic ML FormatExplore
atomvison_atomistic_stm_images_2d_materials_unique_chemical_compositions_structure_v1-1foundry-mlSimulated STM images for 2D materials with unique chemical compositions — supports ML on atomic-resolution microscopy.STM ImagingExplore
atomvison_simulated_atomistic_stem_images_2d_materials_unique_chemical_compositions_structure_bafoundry-mlSimulated STEM images for 2D materials — paired with structure metadata for training ML models on electron microscopy.STEM ImagingExplore
B3DBmaomlabBlood-Brain Barrier Database (B3DB) — curated permeability measurements for compounds, supporting CNS drug-discovery ML benchmarks.BBB PermeabilityExplore
Bac-Corpus-dna-intergenic-sequences-high-diversityAllTheBacteriaHigh-diversity corpus of bacterial intergenic DNA sequences for training DNA language models on non-coding regulatory regions.Microbial GenomicsExplore
Bac-Corpus-protein-sequences-high-diversityAllTheBacteriaHigh-diversity corpus of bacterial protein sequences derived from the ATB collection, filtered for maximum sequence diversity to support protein language model pretraining.Microbial GenomicsExplore
BEANS-ZeroEarthSpeciesProjectZero-shot bioacoustics benchmark evaluating audio-language models on species detection, classification, and captioning across diverse animal taxa.Bioacoustics BenchmarkExplore
BFDLiteFoldBFD source archive index — clustered UniProt + metagenomic protein sequences, the standard database for AlphaFold-style homology search and MSA construction.Protein SequencesExplore
BioMysteryBench-fullAnthropicFull BioMysteryBench evaluation set — challenging biology problems used to probe expert-level scientific reasoning in frontier models.Biology BenchmarkExplore
BioMysteryBench-previewAnthropicPreview slice of BioMysteryBench — challenging, expert-curated biology problems for evaluating AI scientific reasoning capability.Biology BenchmarkExplore
bioreason-pro-sft-reasoning-datawanglabReasoning trace dataset used to supervised-fine-tune BioReason-Pro — multimodal biological problems with rationales over genomic variants and pathway data.Biological Reasoning CorpusExplore
BixBenchfuturehouseBenchmark with 205 reproducible research questions paired with data capsules for AI evaluation.Research BenchmarkExplore
Botanic1-pretrainingliving-modelsThe genomic sequence corpus used to pre-train the Botanic1 plant genome models — 7.2M training windows of 8,192 bp spanning 320 embryophyte species, roughly 59B effective base pairs.Genomic SequencesExplore
camelyon16-featuresowkinPre-extracted features from the CAMELYON16 breast cancer lymph node metastasis detection challenge, enabling efficient benchmarking of MIL methods.Computational PathologyExplore
carbon-pretraining-corpusHuggingFaceBioCarbon pretraining corpus — the curated DNA sequence dataset used to train the Carbon-500M / 3B / 8B genomic foundation models.Genomic Pretraining CorpusExplore
CATHLiteFoldCATH domain classification — hierarchical classification of protein domain structures by class, architecture, topology, and homologous superfamily.Domain ClassificationExplore
CCAluminary-shiftCommon Compressor Aero (CCA) dataset — compressor and turbomachinery simulations for ML-augmented aerospace design workflows.Aerospace CFDExplore
ChAFFmaomlabChAFF — chemistry dataset for ML benchmarking on filtered/curated molecular properties, part of the Maom Lab pharmacology suite.Chemistry DatasetExplore
ChemBenchjablonkagroupManually curated benchmark of 3,000+ chemistry and materials science questions across spectroscopy, reactivity, synthesis, and property prediction for evaluating LLMs.Chemistry BenchmarkExplore
chempile-captionjablonkagroupImage-to-text dataset of chemistry figures (molecular structures, reaction schemes, plots) with expert captions for training multimodal chemistry models.Chemistry CaptioningExplore
chempile-codejablonkagroupCurated chemistry-relevant code (RDKit, ASE, simulation tooling) drawn from The Stack — supports training models that can read and write computational chemistry workflows.Chemistry Code CorpusExplore
chempile-educationjablonkagroupEducational chemistry corpus — multiple-choice and open-ended items spanning introductory through graduate chemistry for assessing model educational capability.Chemistry Education CorpusExplore
chempile-instructionjablonkagroupInstruction-tuning corpus for chemistry — curated Q&A and dialogue traces drawn from chemical literature and educational sources for training chemistry-specialist LLMs.Chemistry Instruction CorpusExplore
chempile-liftjablonkagroupChemPile-LIFT — large-scale language-modelling dataset combining curated chemistry literature and structured chemical knowledge for foundation-model pretraining.Chemistry PretrainingExplore
chempile-mliftjablonkagroupCurated lift-off subset of the ChemPile corpus for instruction-tuning and benchmarking chemistry language models across synthesis, property prediction, and reaction tasks.MolecularExplore
chempile-paperjablonkagroupLarge corpus of peer-reviewed chemistry papers and preprints for pre-training and fine-tuning chemistry language models.Scientific LiteratureExplore
chempile-reasoningjablonkagroupMulti-step chemistry reasoning corpus — open-domain QA, NLI, and multiple-choice items with chains of reasoning for training and evaluating chemical reasoning models.Chemistry Reasoning CorpusExplore
clinvar-vepHuggingFaceBioClinVar variants annotated with VEP (Variant Effect Predictor) — formatted for benchmarking genomic-LLM pathogenicity classification.Clinical VariantsExplore
CloudSEN12Plusisp-uv-esLarge-scale cloud detection dataset with 49,000+ Sentinel-2 patches and expert-quality cloud/shadow annotations across global biomes and seasons.Earth ObservationExplore
codeparrot_megatronADSKAILabMegatron-formatted CodeParrot release used for large-scale code language-model pretraining experiments at Autodesk AI Lab.Code PretrainingExplore
CombiBenchAI-MOCombinatorics problems drawn from AMC, AIME, and olympiad competitions, formalised for benchmarking discrete-mathematics reasoning in language models.CombinatoricsExplore
constellarationproxima-fusionLarge-scale dataset of quasi-isodynamic stellarator designs with MHD equilibria for fusion energy research.Fusion PhysicsExplore
core-sdonasa-ibm-ai4scienceMulti-modal Solar Dynamics Observatory dataset combining EUV imagery, magnetograms, and irradiance spectra for solar foundation model pre-training.Solar PhysicsExplore
crosslab-nmcGenData-ResearchCrossLab-NMC is a full-text, provenance-linked corpus for evaluating scientific claims against existing experimental evidence. It contains 2,005 specific-capacity measurements from 227 open-access battery papers across labs, predominantly on NMC cathodes, each linked to its source passage and to the material and experimental conditions needed to determine whether two experiments are comparable.Materials science (energy storage devices)Explore
CryptoCENmaomlabCryptoCEN — Cryptococcus coexpression network dataset for fungal pathogen biology and drug-target prioritisation.Coexpression NetworkExplore

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