ops
Datasets
All datasets matching “ops”Openthoughts_math_30k_opsdu-opsd-backupops-eval
OPS-Eval: Leakage-Resistant Evaluation for Optical Pooled Screens
Benchmark artifacts for evaluating representation learning on pooled CRISPR
microscopy data. This dataset accompanies a submission to the NeurIPS 2026
Evaluations and Datasets Track.
Contents
Directory/File
Description
Size
montages/
Per-gene montage images (4 channels x 2 phases, ~10 PNGs per gene)
~66 GB
cell_embeddings/
Pre-extracted 512-dim cell embeddings per sgRNA (.npz)
~15 GB… See the full description on the dataset page: https://huggingface.co/datasets/cspeters119/ops-eval.opsd-instruction-scale-omni-full-v1-artifacts-publicNGS
Noise Guided Splatting (NGS) Transparency Datasets
GitHub | Project Page
This repository contains the datasets used in the paper "Fix False Transparency by Noise Guided Splatting". It is designed to facilitate research and benchmarking for the "false transparency" artifact in 3D Gaussian Splatting (3DGS) reconstructions of opaque objects.
The repository is composed of four distinct subsets, each augmented with noise Gaussian infills (inside_gaussians.ply) crucial for evaluating… See the full description on the dataset page: https://huggingface.co/datasets/OpsiClear/NGS.ops-lite
ops-lite
A curated 500-case root-cause-analysis (RCA) evaluation set for
microservice systems, with manifest-driven causal-graph ground truth.
Each case bundles:
a chaos-injection ground truth (injection.json)
a causal service graph derived from the injection's fault contract
(causal_graph.json)
the runtime environment snapshot (env.json, result.json,
label.txt)
12 parquet metric tables per case, split into the abnormal window
(during fault) and the normal window (baseline)
The… See the full description on the dataset page: https://huggingface.co/datasets/anon-ops/ops-lite.