datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
LSDBench
Dataset Card for LSDBench: Long-video Sampling Dilemma Benchmark
A benchmark that focuses on the sampling dilemma in long-video tasks. Through well-designed tasks, it evaluates the sampling efficiency of long-video VLMs.
Arxiv Paper: 📖 Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma?
Github : https://github.com/dvlab-research/LSDBench
(Left) In Q1, identifying a camera wearer's visited locations requires analyzing the entire video. However, key frames… See the full description on the dataset page: https://huggingface.co/datasets/TainU/LSDBench.mmu_vipers_w1
mmu_vipers_w1 HATS Catalog Collection
This is the collection of HATS catalogs representing mmu_vipers_w1.
This dataset is part of the Multimodal Universe,
a large-scale collection of multimodal astronomical data. For full details, see the paper:
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TBs of Astronomical Scientific Data.
Access the catalog
We recommend the use of the LSDB Python framework to access HATS catalogs.
LSDB can be… See the full description on the dataset page: https://huggingface.co/datasets/LSDB/mmu_vipers_w1.mmu_vipers_w4
mmu_vipers_w4 HATS Catalog Collection
This is the collection of HATS catalogs representing mmu_vipers_w4.
This dataset is part of the Multimodal Universe,
a large-scale collection of multimodal astronomical data. For full details, see the paper:
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TBs of Astronomical Scientific Data.
Access the catalog
We recommend the use of the LSDB Python framework to access HATS catalogs.
LSDB can be… See the full description on the dataset page: https://huggingface.co/datasets/LSDB/mmu_vipers_w4.mmu_sdss_sdss---
description: 'HATS version of MultimodalUniverse/sdss: Spectra dataset based on SDSS-IV.
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homepage: https://www.sdss.org/
version: 1.0.0
citation: "% % ACKNOWLEDGEMENTS\n% % From: https://www.sdss4.org/collaboration/citing-sdss/\n\
% \n% Funding for the Sloan Digital Sky Survey IV has been provided by the Alfred \ P. Sloan Foundation, the U.S. Department of Energy Office of Science, and the \ Participating Institutions. SDSS acknowledges support and resources from the Center \ for… See the full description on the dataset page: https://huggingface.co/datasets/LSDB/mmu_sdss_sdss.mmu_desi_edr_sv3---
description: 'Spectra dataset based on DESI EDR SV3, converted from https://huggingface.co/datasets/MultimodalUniverse/desi to HATS
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homepage: https://data.desi.lbl.gov/doc
version: 1.0.0
citation: "% % ACKNOWLEDGEMENTS\n% From https://data.desi.lbl.gov/doc/acknowledgments/\
\ : \n% \n% The Dark Energy Spectroscopic Instrument (DESI) data are licensed under \ the Creative Commons Attribution 4.0 International License (“CC BY 4.0”, Summary, \ Full Legal Code). Users are free to… See the full description on the dataset page: https://huggingface.co/datasets/LSDB/mmu_desi_edr_sv3.desi-dr1-zcatThe Dark Energy Spectroscopic Instrument (DESI) is a 5-year spectroscopic redshift survey designed to map the three-dimensional structure of the universe between z=0 and z=4. Data Release 1 includes high-confidence redshifts for 18.7 million objects - 13.1 million galaxies, 1.6 million quasars, and 4 million stars - from observations taken between May 2021 and June 2022.
Acknowledgments
This research used data obtained with the Dark Energy Spectroscopic Instrument (DESI). DESI construction and… See the full description on the dataset page: https://huggingface.co/datasets/LSDB/desi-dr1-zcat.