PolymathicAI/the_well resource

Health v2 · maintenance only

Adoption not part of the score

4389 stars · 564 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

The Well is a 15TB collection of machine learning datasets containing numerical simulations of spatiotemporal physical systems, spanning 16 datasets across fluid dynamics, biology, acoustics, and astrophysics. It ships with a PyTorch-based Python package (WellDataset) for loading the data into training pipelines and serves as a benchmark suite for ML and computational science research.

Use cases

• train neural surrogates for physics simulations
• benchmark machine learning models on spatiotemporal PDE data
• download large-scale fluid dynamics simulation datasets
• get datasets for magneto-hydrodynamics and astrophysics ML
• load physics simulation data into a PyTorch DataLoader
• find training data for learned weather or supernova simulators

When to choose

• you need large, diverse, standardized physics simulation data for training or evaluating deep learning models
• you want a benchmark suite for spatiotemporal ML research
• you work in PyTorch and want a ready-made dataset API

When to avoid

• you lack the storage or compute for 15TB-scale data
• you need small, lightweight toy datasets for quick experiments
• you need real-world sensor data rather than numerical simulations

Facets

dataset · maturity active

machine-learning data-science simulation benchmarking machine-learning data-science deep-learning python cross-platform physics-simulation spatiotemporal-data pytorch scientific-datasets pde fluid-dynamics benchmark-suite huggingface physics gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="PolymathicAI/the_well")