datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PS1HHHHHHHHHLDFGLDFLGDFLGLDFGLDFGLDLVFDVLDFLGDFGmmu_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.LinearSpectre_PS1_Cifar100_alpha_0portionmsmarco-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__.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__.LinearSpectre_PS1_Cifar100_only_gla_4LinearSpectre_PS1_Cifar100_not_applyaditi-ps18-media
ADITI PS-18 — source references (not a data mirror)
Datasets are referenced, never redistributed. This repo carries a pinned manifest —
repo id + exact commit SHA + file patterns + licence — so the corpus is reproducible
byte-for-byte without re-hosting anyone's data.
Why: several sources carry platform terms that forbid redistribution (Reddit/ConvoKit,
Twitter-derived, ShareChat/Moj). The acquisition policy for this programme is explicit —
"do not redistribute raw social-media… See the full description on the dataset page: https://huggingface.co/datasets/Sandy-sys/aditi-ps18-media.LinearSpectre_PS1_Cifar100_alpha_100portionLinearSpectre_PS1_Cifar100_all_blocksLinearSpectre_PS1_Cifar10_only_glaLinearSpectre_PS1_Cifar100_only_glaLinearSpectre_PS1_Cifar10_only_gla_2LinearSpectre_PS1_Cifar10_only_gla_3LinearSpectre_PS1_Cifar100_only_gla_3LinearSpectre_PS1_Cifar10_alpha_00portionPerformers_PS1_Cifar100_warmupps1_sne_ia---
description: 'Time-series dataset from the Pan-STARRS1 (PS1).
'
homepage: https://iopscience.iop.org/article/10.3847/1538-4357/aab9bb/pdf
version: 1.0.0
citation: "% % ACKNOWLEDGEMENTS\n% Here is the text for acknowledging PS1 in your \ publications:\n% \n% The Pan-STARRS1 Surveys (PS1) and the PS1 public science \ archive have been made possible through contributions by the Institute for Astronomy, \ the University of Hawaii, the Pan-STARRS Project Office, the Max-Planck Society \… See the full description on the dataset page: https://huggingface.co/datasets/MultimodalUniverse/ps1_sne_ia.LinearSpectre_PS1_Cifar10_alpha_100portionAny-to-PS1-v1.0This is a dataset consisting of 17 image pairs for finetuning to convert an image subject -> retro PS1 style.
LinearSpectre_PS1_Cifar10_not_apply_2ps1-discovery-corpus
PS1 Discovery Corpus
Canonical repo & full docs on GitHub →
A multilingual metadata corpus of 7,995 PlayStation 1 games, built to be searched
by feel — "a cozy fishing game with an anime aesthetic", "a 1996/97 Japanese game
where you could send letters", "a bleak sci-fi adventure nobody remembers" — rather than
by popularity or rigid filters. It is deliberately biased toward obscure and
Japan-exclusive titles: the long tail most databases skip.
The dataset's value is its… See the full description on the dataset page: https://huggingface.co/datasets/kenrinzero/ps1-discovery-corpus.ps12k
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/victkk/ps12k.LinearSpectre_PS1_Cifar10_all_blocksLinearSpectre_PS1_Cifar100_only_fftLinearSpectre_PS1_Cifar10_not_applyPS1-to-Untextured-v1.0This is a dataset consisting of 16 image pairs of PS1 style models -> untextured model.
This dataset is different than my Any-to-PS1-Untextured-v1.0 dataset in that this is specifically made for PS1 style inputs (specifically in the output style of my Qwen-Edit-2511-PS1-v1.0 model), and that this has more optimized image sizes.
LungNodule
Dataset Card for "LungNodule"
More Information needed
job_descriptionps1_sne_ia---
description: 'Time-series dataset from the Pan-STARRS1 (PS1).
'
homepage: https://iopscience.iop.org/article/10.3847/1538-4357/aab9bb/pdf
version: 1.0.0
citation: "% % ACKNOWLEDGEMENTS\n% Here is the text for acknowledging PS1 in your \ publications:\n% \n% The Pan-STARRS1 Surveys (PS1) and the PS1 public science \ archive have been made possible through contributions by the Institute for Astronomy, \ the University of Hawaii, the Pan-STARRS Project Office, the Max-Planck Society \… See the full description on the dataset page: https://huggingface.co/datasets/EiffL/ps1_sne_ia.