datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.Sombench-Ice-Prospectivity-Regression
SomBench Benchmark: Polar Ice Prospectivity Regression
Science theme: Polar volatiles
Task: Regression
Dataset Summary
A polar, multi-layer benchmark for predicting near-surface water-ice
prospectivity within ~10° latitude of each pole at 240 m/pixel. Following
the ice-prospectivity workflow of Coyan et al. (2025), the dataset includes a
group of physically motivated evidential layers (thermophysical,
illumination, and terrain) alongside a continuous prospectivity… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-Ice-Prospectivity-Regression.Sombench-WAC-Crater-Detection
SomBench Benchmark: Robbins Crater Detection, WAC
Science theme: Impact processes
Task: Object detection
Dataset Summary
An impact-crater object-detection benchmark built from the
Robbins (2019) global lunar crater
catalog, a manually compiled, near-complete census of
lunar impact craters (≥ ~1–2 km). Catalog crater centers and diameters are
converted to bounding boxes and packaged over LROC WAC visible tiles drawn
from the pre-training corpus test split, in COCO… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-WAC-Crater-Detection.Sombench-IMP-Segmentation
SomBench Benchmark: Irregular Mare Patch (IMP) Segmentation
Science theme: Volcanic history
Task: Binary semantic segmentation
Dataset Summary
A binary semantic-segmentation benchmark for irregular mare patches
(IMPs): rare, morphologically subtle features interpreted as unusually young
volcanic landforms. Each sample is an LROC NAC image tile paired with a
binary IMP mask (IMP vs. background). The set is derived from published IMP
polygon annotations, framed as a… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-IMP-Segmentation.ChemO
🧪 ChemO Dataset
📄 Paper: ChemLabs on ChemO: A Multi-Agent System for Multimodal Reasoning on IChO 2025
ChemO Version 1.1
Now with CDXML Files! 🎉
The ChemO dataset has been officially released after meticulous proofreading and preparation. This benchmark is built from the International Chemistry Olympiad (IChO) 2025 and represents a new frontier in automated chemical problem-solving.
🌟 Key Features
🏆 Olympic-Level Benchmark - Challenging problems… See the full description on the dataset page: https://huggingface.co/datasets/IDEA-AI4S/ChemO.ReactBench
ReactBench: A Benchmark for Topological Reasoning in MLLMs on Chemical Reaction Diagrams
Dataset Summary
ReactBench is a comprehensive benchmark designed to evaluate the topological reasoning capabilities of Multimodal Large Language Models (MLLMs) specifically on chemical reaction diagrams. The dataset challenges models to interpret complex visual layouts, understand molecular transformations, and trace reaction pathways across different diagram structures.
Data… See the full description on the dataset page: https://huggingface.co/datasets/IDEA-AI4S/ReactBench.ai4smallfarms-taco
AI4SmallFarms
This is a repackaging, not a new dataset. It is AI4SmallFarms by University of Twente ITC (Persello et al.), 4TU.ResearchData / DANS, converted to TACO with its data unchanged. All credit belongs to the original authors: if you use it, please cite them and follow their licence.
original dataset · paper · licence: CC-BY-4.0
Repackaged into TACO by the Image and Signal Processing Group (ISP), Universitat de València, within the ELLIOT project.… See the full description on the dataset page: https://huggingface.co/datasets/isp-uv-es/ai4smallfarms-taco.