collage
Datasets
All datasets matching “collage”product-photography-v1-tiny-prompts-tasks-collage-filteredcdsm_benchmarking_data
CDSM Collagen Structure Benchmark — Data
Structures and scores for a benchmark comparing a deterministic collagen
triple-helix builder (CDSM) against four co-folding models — Boltz-2, Chai-1,
Protenix and AlphaFold3, the last in both with-MSA (af3_msa) and no-MSA
(af3_nomsa) conditions — on 80 experimentally resolved collagen triple
helices from the RCSB PDB.
Code: https://github.com/bm-howard/cdsm_benchmarking
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experimental/… See the full description on the dataset page: https://huggingface.co/datasets/CollagenHelixLabs/cdsm_benchmarking_data.VisCoT_VStar_CollageThis is part of the training data for vSearcher introduced in "InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search".
The data comprise collages made from a subset of images from VisualCoT and the training data of V*.
Each entry of this dataset contains a collage (with a randomly placed "core" image within it) and a QA for the core image.
The other images are filler images sampled from the same image pool as the core images.
Every image (both core and filler) is… See the full description on the dataset page: https://huggingface.co/datasets/m-Just/VisCoT_VStar_Collage.oligogym
OligoGym Datasets
A mirror of the 12 curated benchmark datasets shipped with
OligoGym (Roche), repackaged as HuggingFace configs for
convenient loading. Covers oligonucleotide activity, toxicity, and
immunomodulation across ASO, siRNA, and shRNA modalities.
This is not a new dataset. Row counts, column sets, and values are
identical to the files in OligoGym's oligogym/resources/pkg_dataset/.
All credit for curation belongs to the OligoGym authors — please cite them
(see… See the full description on the dataset page: https://huggingface.co/datasets/CollageBio/oligogym.collage-layout-dataset
Collage Layout Synthetic Dataset
Synthetic photo-collage layouts for layout-quality analysis & correction,
built on a six-ingredient framework (Format, Photos, Visual Weight, Hierarchy,
Readability, Harmony). Corrector-not-generator: every collage carries a
naive (v1_center) and a corrected (fit) placement, so a model can learn the
correction. Faces are synthetically replaced (privacy-safe).
How to load
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/jjobear/collage-layout-dataset.collagen-cdsm_benchmarking_data
CDSM Collagen Structure Benchmark — Data
Structures and scores for a benchmark comparing a deterministic collagen
triple-helix builder (CDSM) against four co-folding models — Boltz-2, Chai-1,
Protenix and AlphaFold3, the last in both with-MSA (af3_msa) and no-MSA
(af3_nomsa) conditions — on 80 experimentally resolved collagen triple
helices from the RCSB PDB.
Code: https://github.com/bm-howard/cdsm_benchmarking
Layout
Prefix
Contents
Size
experimental/… See the full description on the dataset page: https://huggingface.co/datasets/lamm-mit/collagen-cdsm_benchmarking_data.