operations
PhysicalAI-WorldModel-Synthetic-Warehouse-Operations-Scenes
PhysicalAI SDG-Warehouse
PhysicalAI SDG-Warehouse is a synthetic, fully-annotated video dataset of staged industrial-safety events captured in a simulated warehouse environment. It contains approximately 123k video clips, totaling roughly 412 hours of footage at 1920x1080 resolution and 30 frames per second, organized across four scenarios: a forklift near-miss with a human worker, a warehouse fire with worker evacuation, a forklift collision with a storage shelf, and a routine… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-WorldModel-Synthetic-Warehouse-Operations-Scenes.managed-care-operations-handbook
Managed-Care Operations Handbook
The role-anchored clinical/operational reference skill for the χ-Bench healthcare-agent benchmark
[!IMPORTANT]
This is a gated artifact. Access is reviewed manually. Complete the access-request form on this page; the actAVA team typically responds within one business day. The handbook is not redistributed with the main actava/chi-bench dataset because of its sensitivity and clinical-author provenance.
What this is
The Managed-Care… See the full description on the dataset page: https://huggingface.co/datasets/actava/managed-care-operations-handbook.operations-research
Operations Research (OR) Benchmark
Overview
This benchmark is adapted from ReEvo[1], which originally consists of six types of combinatorial optimization problems (COPs).
We have extended the benchmark by adding a cooperative driving problem that involves complex simulation environments using SUMO.
Check OR-Agent[2] and its repository for more details.
How to cite:
Liu, Q., Hao, R., Li, C. and Ma, W., 2026. OR-Agent: Bridging Evolutionary Search and Structured… See the full description on the dataset page: https://huggingface.co/datasets/qiliuchn/operations-research.medium_20000-file_operations_n100k1medium_5000_file_operationsnemotron-terminal-file_operations
nemotron-terminal-file_operations
Per-source partition of nvidia/Nemotron-Terminal-Corpus,
filtered to source == "file_operations". The difficulty column preserves the original
easy / medium / mixed split (na for the dataset_adapters/* files, which
did not carry a difficulty label).
Partitioning scheme:
adapters_{code,math,swe} — rows from dataset_adapters/{code,math,swe}.parquet
{skill} (e.g. debugging, security, …) — rows from
synthetic_tasks/skill_based/{easy,medium… See the full description on the dataset page: https://huggingface.co/datasets/laion/nemotron-terminal-file_operations.
loopWatches the pipeline. Only speaks when something is genuinely broken.
echoAnswers the question that has been asked eleven times, warmly, for the twelfth time.
chiefKeeps six agents from doing the same task twice. Mostly by asking first.
pebbleLabels, dedupes and closes with an actual explanation.
noriFirst reply within the hour, and it is never a copy-paste.