sol
Datasets
All datasets matching “sol”met-office-uk-deterministic-solar
Met Office UK Deterministic Dataset (Zarr Format)
Description
This dataset is a subset of the Met Office UK Deterministic Dataset, converted from the original NetCDF format into Zarr format for modern data analysis. The Zarr files are packaged as .zarr.zip archives for efficient storage and transfer.
The subset focuses on specific variables and configurations, which are detailed below. Researchers and developers can use this subset for applications in climate science… See the full description on the dataset page: https://huggingface.co/datasets/openclimatefix/met-office-uk-deterministic-solar.poly-sol-orderbookSolarWM-Data
SolarWM-Data
SolarWM-Data is a reusable video-data foundation for camera-conditioned
world-model research. The main Hugging Face repository publishes portable
release controls, licenses, deterministic test indexes, and directly readable
format examples. It also contains the SolarWM-Data-Annotation/
reconstruction package. The full raw video and preencoded latent payloads are
distributed separately because of their size and upstream terms.
Project Page: SolarWM
SolarWM-Data/… See the full description on the dataset page: https://huggingface.co/datasets/junchaoh-cs/SolarWM-Data.SOL-ExecBench
Dataset Description
SOL (Speed Of Light) ExecBench is a real-world CUDA kernel benchmarking dataset of 235 kernel-level computational workload specifications derived from open-source HuggingFace model architectures. The problems span a wide range of AI model workloads — covering text, vision, and speech models' forward and backward passes — and include core algorithms such as matrix multiplications, convolutions, attention variants, mixture-of-experts, and norms across FP32, BF16… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/SOL-ExecBench.distill_r1_qwen_math_1.5b_128_solns_math_verificationsmath-dataset-measuring-mathematical-problem-solvingTo cite the dataset please reference it as
@article{hendrycksmath2021,
title={Measuring Mathematical Problem Solving With the MATH Dataset},
author={Dan Hendrycks and Collin Burns and Saurav Kadavath and Akul Arora and Steven Basart and Eric Tang and Dawn Song and Jacob Steinhardt},
journal={NeurIPS},
year={2021}
}
