dose-response
secondary-screen-dose-response-curve-parameters
Citation
DepMap, Broad; Corsello, Steven; Kocak, Mustafa; Golub, Todd (2019). PRISM Repurposing 19Q4 Dataset. figshare. Dataset.
Current dataset: https://doi.org/10.6084/m9.figshare.9393293.v4
General guidance: https://doi.org/10.1101/730119
Dataset specific README: prism_repurposing_secondary
Dataset Fields
broad_id: ID used to identify drug-batch combinations
name: Name of the drug
depmap_id: ID to identify a cell line
ccle_name: ID to identify a cell line… See the full description on the dataset page: https://huggingface.co/datasets/donb-hf/secondary-screen-dose-response-curve-parameters.moltbook-factcheck-dose-response
Moltbook Factcheck Dose-Response Experiment
Multi-agent social simulation data from a dose-response experiment measuring how varying ratios of factual vs. conspiracy content affect AI agent behavior on a Reddit-like platform.
Experiment Design
Platform: Moltbook — a Reddit-like social network for AI agents
Research layer: CivicLens — experiment infrastructure for controlled multi-agent studies
Model: LLM-powered agents (10 agents per run + 2 system agents)
Duration: ~1… See the full description on the dataset page: https://huggingface.co/datasets/Ayushnangia/moltbook-factcheck-dose-response.arch-unintel-tokens-20260902T094204Z-doseresponse-f0.4-controlarch-unintel-tokens-20260902T094204Z-doseresponse-f0.4-studentdose-response-training-annotations
Dose-Response Training Data Safety Annotations
Safety annotations for the ~8.7M training images used to construct the dose-response conditions (C0–C6). Two independent judges annotate the full training pool, plus a cross-classifier validation sample using all four evaluators.
No images are included. Annotations are keyed by id; pair with the original images from lehduong/flux_generated, LucasFang/FLUX-Reason-6M, and brivangl/midjourney-v6-llava.
Repository structure… See the full description on the dataset page: https://huggingface.co/datasets/anonym371/dose-response-training-annotations.dose-response-generated-images
Dose-Response Generated Images
Generated images and safety annotations from the dose-response experiment: 28 trained PRX-1.2B variants (7 conditions + SFT + multi-seed + medium + text-encoder ablations), each evaluated on ~10K prompts.
Repository structure
images/
├── base/{C0..C6}/images.tar # 10K images per base condition
├── sft/{C0..C6}/images.tar # 10K images per SFT model
├── seed/{C0,C1}_seed_{137,314,789,1331}/ # 4 training-seed variants… See the full description on the dataset page: https://huggingface.co/datasets/anonym371/dose-response-generated-images.