datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vcell-perturbation-source-data
ConvergeCELL Source Datasets — v1.0.0
Cached H5ADs of every single-cell RNA-seq dataset registered in the
ConvergeCELL data catalog. Mirrors the original sources (GEO, figshare,
Tabula Sapiens, CellxGene) so downstream code has a single, fast, versioned
endpoint to fetch from.
Each row of every h5ad is one cell; each column is one gene (HGNC symbol).
The exact obs/var schema follows whatever the original source provided —
this bundle does not re-annotate, harmonize, or QC. For a… See the full description on the dataset page: https://huggingface.co/datasets/nicolas-lynn/vcell-perturbation-source-data.joint_vcentric_aux_multi_s200joint_vcentric_auxvcell-coexpr-baselines
ConvergeCELL Coexpression Baselines — v0.1.0
Per-tissue gene–gene correlation matrices trained on the
ConvergeCELL Pseudobulk Panel
(panel size pb20, restricted to 8,000 HVGs).
Each baseline is a fitted :class:CoexpressionBaselineModel — predicts gene
expression via Y = (X − μ)/σ @ C @ σ + μ. Useful as the co-expression
floor any foundation model must beat to claim it has learned anything
beyond gene–gene correlation structure.
Baselines (12)
Tissue
File
#… See the full description on the dataset page: https://huggingface.co/datasets/nicolas-lynn/vcell-coexpr-baselines.BounceBRDF
BounceBRDF Demo Dataset
Demo dataset for the paper "High-Gloss SVBRDF Capture Using Bounce Light" (Eurographics 2026 / Computer Graphics Forum, Vol. 45, No. 2).
Authors: Tomáš Iser, Andrei-Timotei Ardelean, Tim Weyrich — Friedrich-Alexander-Universität Erlangen-Nürnberg & Charles University
📄 Project page & paper · 💻 GitHub Source Code (BounceBRDF)
Contents
Four captured scenes (arch1, re2, vr1, vr3), each containing:
<scene>/
├── IMG_XXXX.exr… See the full description on the dataset page: https://huggingface.co/datasets/fau-vce/BounceBRDF.vcell-perturbation-panel
ConvergeCELL Pseudobulk Panel — v1.0.0
Multi-tissue, multi-cell-type pseudobulk library built from public single-cell
RNA-seq datasets. Each pseudobulk size (1 / 5 / 10 / 20 cells) is published as
a separate H5AD; downstream code picks the granularity that fits the task.
What's in each file
File
Rows
Genes
Cells per pseudobulk
# pseudobulks per (dataset, cell_type)
# (dataset, cell_type) combos
Bootstrap rows
Aggregation
panel_pb1.h5ad
4,610
75,098
1
5… See the full description on the dataset page: https://huggingface.co/datasets/nicolas-lynn/vcell-perturbation-panel.vcellvc-en-fr-datasetVC_Evaljoint_vcentric_aux_multi_s200vc_emojivce