CoolFace
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ps1

HANZO2345 /PS1HHHHHHHHHLDFGLDFLGDFLGLDFGLDFGLDLVFDVLDFLGDFG0 likes287 downloads13d agoHugging FaceUniverseTBD /mmu_ps1_sne_ia mmu_ps1_sne_ia HATS Catalog Collection This is the collection of HATS catalogs representing mmu_ps1_sne_ia. 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/UniverseTBD/mmu_ps1_sne_ia.tabularn<1K0 likes157 downloads4mo agoHugging FaceHTayy /LinearSpectre_PS1_Cifar100_alpha_0portiontextn<1K0 likes99 downloads4mo agoHugging Facejpq-repro /msmarco-passage-train__tct_colbert__faiss2opq__M96_nbits8__ps159744__neg200__ibn__lr__ msmarco-passage-train__tct_colbert__faiss2opq__M96_nbits8__ps159744__neg200__ibn__lr__ Description This is the PyTerrier JPQIndex for MSMARCO v1 passage corpus, which corresponds to an result from the SIGIR 2026 reproducibility paper. Usage # Load the artifact import pyterrier as pt import pyterrier_dr index = pt.Artifact.from_hf('jpq-repro/msmarco-passage-train__tct_colbert__faiss2opq__M96_nbits8__ps159744__neg200__ibn__lr__') model =… See the full description on the dataset page: https://huggingface.co/datasets/jpq-repro/msmarco-passage-train__tct_colbert__faiss2opq__M96_nbits8__ps159744__neg200__ibn__lr__.text-retrieval0 likes61 downloads2mo agoHugging Facejpq-repro /nq-train__tct_colbert__faiss2opq__M96_nbits8__ps159744__neg200__ibn__lr__ nq-train__tct_colbert__faiss2opq__M96_nbits8__ps159744__neg200__ibn__lr__ Description This is the PyTerrier JPQIndex for the Wikipedia 2018 corpus used by Natural Questions (NQ). Usage # Load the artifact import pyterrier as pt import pyterrier_dr index = pt.Artifact.from_hf('jpq-repro/nq-train__tct_colbert__faiss2opq__M96_nbits8__ps159744__neg200__ibn__lr__') model = pyterrier_dr.TctColBert.hnp() model.model =… See the full description on the dataset page: https://huggingface.co/datasets/jpq-repro/nq-train__tct_colbert__faiss2opq__M96_nbits8__ps159744__neg200__ibn__lr__.text-retrieval1 likes61 downloads2mo agoHugging FaceHTayy /LinearSpectre_PS1_Cifar100_only_gla_4textn<1K0 likes54 downloads4mo agoHugging Face