site-training
construction-site-robot-navigation-vla-training-next-pack-221fb1bd-ce8fc779
Aerial Outdoor Scenes for Drone Ice-on-Power-Line Detection (YOLO)
Training dataset for a drone-mounted YOLO model that detects ice accretion on power lines during aerial inspection. Renders are staged in outdoor open-air scenes at 1280x1280 with RGB, albedo and world-space normal (OpenGL, linear) passes, per-frame annotations (bounding boxes, camera pose, labels), and authored daylight. Note: the available environments do not frame actual power lines, so the set stands in for… See the full description on the dataset page: https://huggingface.co/datasets/physicl-community/construction-site-robot-navigation-vla-training-next-pack-221fb1bd-ce8fc779.corporate-site-harness-training-data
Dataset Card for Corporate Site Harness Training Data
Revision: v0.3-lora-standard
Factory git commit: ad72ba654590dd83d7070b23990b164ffae688a4
Dataset Summary
English chat-style supervised fine-tuning (SFT), preference (DPO), and held-out
evaluation data for teaching a local LLM the corporate/site harness used by
corporate-site-harness:
policy — phases, roles, workspace isolation, premium-model routing, factory vs product
cli — corp-harness argv, tool-grounded… See the full description on the dataset page: https://huggingface.co/datasets/SafetyMP/corporate-site-harness-training-data.clinical-quad-site-training-protocol-complexity-error-rate-data-usability-v0.1Clinical Quad Site Training Protocol Complexity Error Rate Data Usability v0.1
Each row is a site week snapshot.
Core quad
Site training intensityProtocol complexityOperational error rateData usability
Target
label_data_collapse_next_60d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT