datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
c3vdv2-SfM
C3VDv2 — Colonoscopy 3D Video Dataset v2
This dataset is a re-packaged version of C3VDv2 originally published by
Johns Hopkins University, distributed under the
Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Original dataset DOI: https://doi.org/10.7281/T1/JC64MK
Dataset archive: https://archive.data.jhu.edu/dataset.xhtml?persistentId=doi:10.7281/T1/JC64MK
Attribution
This re-packaged version was created to facilitate streaming access. The… See the full description on the dataset page: https://huggingface.co/datasets/SmartWhatt/c3vdv2-SfM.sfm-synthetic-datafastmap_sfm
Fastmap evaluation suite.
You only need the databases to run fastmap. Download the images if you want to produce colored point cloud.
Download the subset of data you want to your local directory.
huggingface-cli download whc/fastmap_sfm --repo-type dataset --local-dir ./ --include 'databases/tnt_*' 'ground_truths/tnt_*'
or use the python interface
from huggingface_hub import hf_hub_download, snapshot_download
snapshot_download(
repo_id="whc/fastmap_sfm", repo_type='dataset'… See the full description on the dataset page: https://huggingface.co/datasets/whc/fastmap_sfm.sfm-midtraining-mixreal-colon-SfM
REAL-Colon HF Triplets
This dataset is a re-packaged version of REAL-Colon for streaming
self-supervised AF-SfMLearner training. The original dataset is distributed
under CC BY 4.0.
Original dataset DOI: https://doi.org/10.25452/figshare.plus.22202866
Rows are lower-fps temporal triplets sampled from the extracted frame files that
exist on disk. If the official extraction is already subsampled, the requested
target_fps is approximated by the nearest integer step on that available… See the full description on the dataset page: https://huggingface.co/datasets/SmartWhatt/real-colon-SfM.sfm-midtraining-blocklist-filtered-docs-20251123-0747llm-sfm-safety-eval
LLM x SFM Safety Evaluation
When a general-purpose language model interprets the output of a specialist
science foundation model (a protein, genomic, RNA, or chemistry model), does its
safety behavior recognize the scientific content, or only the surface form of the
request?
This repository is the empirical core of a study of that question: the evaluation
harness, the redacted aggregate results, and the measurement specifications behind
four findings about how deployed Claude… See the full description on the dataset page: https://huggingface.co/datasets/jang1563/llm-sfm-safety-eval.sfm-experimental-data
Spectral Properties Dataset
Molecular spectra paired with computed structural properties relevant to each spectral type.
Subsets
cnmr: 13C NMR spectra with carbon environment properties
hnmr: 1H NMR spectra with hydrogen environment properties
ir: IR spectra with functional group properties
uv: UV-Vis spectra with chromophore/conjugation properties
ms: Mass spectra with fragmentation-relevant properties
Column Standardization
All subsets use… See the full description on the dataset page: https://huggingface.co/datasets/jablonkagroup/sfm-experimental-data.sfm-mcqa-sft-mixsfm-pretraining-mix-ai-filtering-resultsgeodesic-research/alignment_filtering_20251126-0357
sfm-midtraining-mix-ai-filtering-resultsgeodesic-research/alignment_filtering_20251126-0344
teaching-sfm-a01260048-supplementary
Supplementary Reproducibility Package — Manuscript A01260048
This package accompanies the article “Teaching Feature-Based 2D-to-3D Reconstruction for Metaverse-Oriented Content Generation: An OpenCV Structure-from-Motion Methodology for Computer Science Students.” It provides the executable OpenCV benchmark, pinned dependencies, machine-readable results, representative scene images, and figure sources used in the study.
Contents
benchmark_sfm.py: deterministic… See the full description on the dataset page: https://huggingface.co/datasets/malakhovks/teaching-sfm-a01260048-supplementary.sfm-finetuning-dataset-v1.5sfm-sft-multitask-benign-tampering-mixsfm-em-wem-v4-fyn1668anthropic-propensity-evals-human-written-refined-SFM-evals
Dataset Card for Dataset Name
This dataset contains the same misalignment questions as camgeodesic/anthropic-propensity-evals-human-written-refined-filtered-strong for the following subsets:
Coordinate_Itself, Coordinate_Other_Ais, Coordinate_Other_Versions, Power_Seeking_Inclination, Survival_Instinct, Wealth_Seeking_Inclination
Self_Awareness_Good_Text_Model and Self_Awareness_Text_Model were sourced from Kyle1668/anthropic-propensity-evals-human-written-refined.… See the full description on the dataset page: https://huggingface.co/datasets/camgeodesic/anthropic-propensity-evals-human-written-refined-SFM-evals.sfm-emergent-misalignment-training-datasfm-midtraining-mix-dclm-long-context-passages-blocklist-filteredsfm-finetuning-dataset-v1.5-replay-onlysfm-cpt-reasoning-comparesfm-cpt-reasoning-compare-pairedNeRF_synthetic_SfM_Points
Dataset Description
The purpose of this dataset is to convert the NeRF synthetic dataset into a Structure-from-Motion (SfM) point cloud. The processing was done using pycolmap.
Source of the Raw Dataset
You can download the raw dataset from the following link:
https://www.matthewtancik.com/nerf
Related Research
This dataset was processed and used in the following research paper:
https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/pleasure97/NeRF_synthetic_SfM_Points.sfm-supplemental-alignment-literaturedp-sfmconsistent_answer_sfm__no_system_promptsfm-physics-mptrj-simsfm-chem-bench-esolsfm-chem-bench-qm9_lumosfm-alignment-labeling-v3items_raw_full