cells
Datasets
All datasets matching “cells”lesion-cells-datasetround5-sv-cells
round5-sv-cells — SELF-VERIFIER feedback cells (sv7 / sv7d)
2026-08-16. Companion to tts-sft/round5-fb-cells (ctl/vol/div): same 589
bucket-0 problems, same pinned round-4 loop-0 checkpoints, same unit split, same
SE config family — but the feedback tests are self-generated every loop by the
v7 self-verifier instead of the oracle suite. The oracle cells are the
controls; together they measure, at scale, how much of feedback-SE's bucket-0
reach and densification survives when the… See the full description on the dataset page: https://huggingface.co/datasets/tts-sft/round5-sv-cells.cells-developmental
bgradowhite/cells-developmental
Verbatim backup of /Users/brianna/Cells_Developmental/out from Brianna's machine, taken 2026-09-14.
See PROVENANCE.md for what each directory is and which script wrote it, and
MANIFEST.json for SHA-256 digests of every file and every archive member.
Archives <dir>.tar.gz extract in place to <dir>/; where a directory name held
colons the archive name has hyphens instead, and MANIFEST.json's extract_to gives
the original path.
The following is… See the full description on the dataset page: https://huggingface.co/datasets/bgradowhite/cells-developmental.cells-developmental-checkpoints
Cells, developmental: trained trajectories and measured parts
The artifacts produced by the measurement code at
https://github.com/bgradowhite/Cells_Developmental, mirrored so a collaborator
starts from the same base without retraining or re-measuring.
Only this project's own artifacts are here. The KataGo checkpoints, the
Pythia/GPT-2/Gemma weights and the image corpora are public elsewhere, are
hash-pinned in that repository's configs/inputs/, and are fetched from their
own… See the full description on the dataset page: https://huggingface.co/datasets/CarolusRenniusVitellius/cells-developmental-checkpoints.blood_cells2026.RA.Frontier-and-Scale-Cells
Rational-Agent Frontier, Scale, and Framing Cells
This public dataset is a sibling of siddharthmb/2026.RA.Negotiation-Campaigns (the frozen P1-P4 experimental record for the ii_mats/experiments/rational_agents negotiation program) and follows the same conventions: raw per-episode JSON, per-turn oracle annotations, Markdown/HTML transcripts, run manifests, analysis tables, and an integrity manifest over every uploaded file. It packages eight later campaigns that were run against… See the full description on the dataset page: https://huggingface.co/datasets/siddharthmb/2026.RA.Frontier-and-Scale-Cells.