AI4S
Datasets
All datasets matching “AI4S”RealPDEBench
RealPDEBench
RealPDEBench is a benchmark of paired real-world measurements and matched numerical simulations for complex physical systems. It is designed for spatiotemporal forecasting and sim-to-real transfer evaluation on real data.
This Hub repository (AI4Science-WestlakeU/RealPDEBench) is the release repo for RealPDEBench.
Website & documentation: realpdebench.github.io
Raw HDF5 distribution: realpdebench.westlake.edu.cn
Benchmark codebase:… See the full description on the dataset page: https://huggingface.co/datasets/AI4Science-WestlakeU/RealPDEBench.ai4sci-virtual-cell-zeroshot-data
ai4sci virtual-cell-zeroshot — release v1
Prepared data for the virtual-cell-zeroshot
task: predict single-cell CRISPRi knockdown responses in cellular contexts a model has never seen
perturbed (the Arc Virtual Cell Challenge 2026 zero-shot setting), rebuilt from public data.
dev/ what the agent sees (mount read-only at /workspace/data)
train/{k562,jurkat,hct116,hek293t}/ cells.h5ad, pseudobulk.h5ad, se_embeddings.npy, dev_split/
test/{ctx_near,ctx_mid… See the full description on the dataset page: https://huggingface.co/datasets/sunweiwei/ai4sci-virtual-cell-zeroshot-data.SoccerWiki
Dataset Card for SoccerWiki
This repository contains the database for paper "Multi-Agent System for Comprehensive Soccer Understanding" in ACM Multimidia 2025.
SoccerWiki is a large-scale multimodal soccer knowledge base. The dataset integrates rich domain knowledge about soccer players, teams, referees, and venues, which is used to facilitate knowledge-driven reasoning and decision-making in various soccer-related tasks.
This dataset was built using data from Wikipedia and… See the full description on the dataset page: https://huggingface.co/datasets/SJTU-AI4Sports/SoccerWiki.cti-bench
Dataset Card for CTIBench
A set of benchmark tasks designed to evaluate large language models (LLMs) on cyber threat intelligence (CTI) tasks.
Dataset Details
Dataset Description
CTIBench is a comprehensive suite of benchmark tasks and datasets designed to evaluate LLMs in the field of CTI.
Components:
CTI-MCQ: A knowledge evaluation dataset with multiple-choice questions to assess the LLMs' understanding of CTI standards, threats, detection strategies… See the full description on the dataset page: https://huggingface.co/datasets/AI4Sec/cti-bench.core-sdo
ML-Ready Multi-Modal Image Dataset from SDO
Overview
This dataset provides machine learning (ML)-ready solar data curated from NASA’s Solar Dynamics Observatory (SDO), covering observations from May 13, 2010, to Dec 31, 2024. It includes Level-1.5 processed data from: Atmospheric Imaging Assembly (AIA)
and Helioseismic and Magnetic Imager (HMI).
The dataset is designed to facilitate large-scale learning applications in heliophysics, such as space weather forecasting… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/core-sdo.Surya-1.0_validation_data
Validation data for Surya 1.0
This dataset comprises imagery from NASA's Solar Dynamics Observatory (SDO). The data can and should be used to validate a local installation of the Surya Foundation Model for Heliophysics. The data is compressed; you should use the hdf5plugin to read it directly.