datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Octant_CYP_inhibition_reactivity_blog_release
OpenADMET Octant CYP Inhibition & Reactivity
Data release from the OpenADMET consortium, generated by Octant Bio.
This dataset accompanies the blog post Building the OpenADMET Data Engine.
Source code, assay protocols, and raw TSV files are on GitHub.
Overview
Cytochrome P450 (CYP) enzymes drive the oxidative metabolism of most drugs and are a primary cause of drug-drug interactions (DDIs).
Despite their importance, public CYP datasets are sparse, noisy, and… See the full description on the dataset page: https://huggingface.co/datasets/openadmet/Octant_CYP_inhibition_reactivity_blog_release.ReactiveGWM-v2-Datasets
ReactiveGWM v2 Datasets
This repository contains the selected HNM and Street Fighter III: New
Generation (SF3) datasets. The original FFV1/MKV videos, first frames, masks,
native annotations, action records, indices, and prepared VAE/T5 caches are
stored without compression in tar volumes of approximately 2 GiB. Files
retain their original formats and paths inside the tar archives. Game-generation
code, ROMs, BIOS files, and runtime binaries are not included.
Subset
Train… See the full description on the dataset page: https://huggingface.co/datasets/INV-WZQ/ReactiveGWM-v2-Datasets.reactsynthetic-chemical-reactor-5k-sample
RL-Ready Synthetic Chemical Batch Reactor Dataset
🚨 Download the full 50,000-row dataset featuring 269 complete reactor life-cycles here: https://aimindteam.gumroad.com/l/reactor-dataset 🚨
Overview
This dataset provides a mathematically consistent, high-fidelity simulation of an industrial liquid-phase exothermic batch reactor. It contains multivariate time-series operational logs designed specifically for training Reinforcement Learning (RL) agents, testing Predictive… See the full description on the dataset page: https://huggingface.co/datasets/AIMindTeams/synthetic-chemical-reactor-5k-sample.Chemical_Reactions_BH_HTE
Curated Buchwald–Hartwig HTE Reactions
This dataset contains approximately 27,500 Buchwald–Hartwig reactions, comprising:
approximately 11,300 reactions generated through a dedicated Johnson & Johnson high-throughput experimentation campaign; and
approximately 16,200 curated open-source Buchwald–Hartwig and Pd-catalyzed C–N coupling HTE reactions.
To support generalization across data sources, every chemical entity was curated using an internal Johnson & Johnson tool to… See the full description on the dataset page: https://huggingface.co/datasets/PauloNeves-HF/Chemical_Reactions_BH_HTE.Africa_Pharmacovigilance_Adverse_Drug_Reactions
Africa Pharmacovigilance Adverse Drug Reactions Dataset
A curated, structured dataset of 71 detailed adverse drug reaction (ADR) reports across 26 African countries, addressing a critical gap in pharmacovigilance data representation for African populations in global drug safety research.
🌍 Why This Dataset Matters
Most pharmacovigilance datasets are dominated by Western populations, leaving a significant gap in understanding drug safety profiles for African patients —… See the full description on the dataset page: https://huggingface.co/datasets/Oduwo/Africa_Pharmacovigilance_Adverse_Drug_Reactions.reaction-feasibility-integrity-v01Reaction Feasibility Integrity v01
What this dataset is
This dataset evaluates whether a system can judge basic chemical plausibility.
You give the model:
Reactants and reagents
Solvent and temperature
A claimed product and yield
You ask it to decide:
FEASIBLE or INFEASIBLE
With a short rationale
This is a sanity test.
Before optimization.
Before scale.
Why this matters
Chemistry fails early when plausibility is not checked.
Teams waste time when a system:
treats impossible reactions as… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/reaction-feasibility-integrity-v01.f1-quad-tyre-temp-brake-temp-pack-compression-reaction-delta-restart-position-loss-v0.1What this repo does
This dataset models restart instability in Formula One. It predicts when the interaction between tyre temperature readiness, brake temperature readiness, pack compression intensity, and reaction delay creates a high probability of losing positions at a safety car restart.
Core quad
tyre_temp_index
brake_temp_index
pack_compression_index
reaction_time_delta_s
Prediction target
label_restart_position_loss
Binary forward label predicting position loss across the restart phase… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/f1-quad-tyre-temp-brake-temp-pack-compression-reaction-delta-restart-position-loss-v0.1.market-agent-reaction-path-mapping-v0.1What this dataset tests
Whether a system can inferwhat market agent types must do nextgiven constraints and triggers.
This is forced behavior mapping.Not opinions.
Required outputs
agent type
current position state
forced action probability
reaction path
systemic impact score
Constraints
Do not predict single-asset price.Infer forced actions from positioning and trigger context.
Evaluation focus
High scores requireagent type namedposition state describednumeric forced action… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/market-agent-reaction-path-mapping-v0.1.ProtST-ReactionSkincare-ReactionTest_Reactions