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scenario_id: autonomous_driving/sustained_highway_risk_supervision/deep_planning/extreme/ngsim_1118846999200_extreme_s42
family: sustained_highway_risk_supervision
domain: autonomous_driving
backend_kind... | autonomous_driving/sustained_highway_risk_supervision/deep_planning/extreme/ngsim_1118846999200_extreme_s42 | scenarios/autonomous_driving/ngsim_1118846999200_extreme_s42.yaml | autonomous_driving | sumo_ego | sustained_highway_risk_supervision | extreme | deep_planning | 18 | 42 | {"backend_kind":"sumo_ego","required_source_assets":[{"declared_path":"bundle.json","sha256":"480339c9d507a832b46251d3df3d59bb68787d6d5d7858898303fb5e54673e75"},{"declared_path":"candidates.json","sha256":"1e0a0791a51cb4aa66b23152e3bd327d5b7c83433a11352ab2d1c3258fd6ee67"},{"declared_path":"fixture.json","sha256":"a4b9a... | sumo_ego:78ed32eb1c442986a52ab3b09680811f | a9d06111792ad8e5 | e3e388e422f6fe84 | 6257732a3ccf8b31 | ce6997120b97ff7d5954a1a7052cab9f57cc094bf4c8a4393df9e80cd74e0422 |
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scenario_id: autonomous_driving/sustained_highway_risk_supervision/deep_planning/extreme/ngsim_1118847070800_extreme_s42
family: sustained_highway_risk_supervision
domain: autonomous_driving
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scenario_id: autonomous_driving/sustained_highway_risk_supervision/deep_planning/extreme/ngsim_1118847187100_extreme_s42
family: sustained_highway_risk_supervision
domain: autonomous_driving
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scenario_id: autonomous_driving/sustained_highway_risk_supervision/deep_planning/extreme/ngsim_1118847260700_extreme_s42
family: sustained_highway_risk_supervision
domain: autonomous_driving
backend_kind... | autonomous_driving/sustained_highway_risk_supervision/deep_planning/extreme/ngsim_1118847260700_extreme_s42 | scenarios/autonomous_driving/ngsim_1118847260700_extreme_s42.yaml | autonomous_driving | sumo_ego | sustained_highway_risk_supervision | extreme | deep_planning | 18 | 42 | {"backend_kind":"sumo_ego","required_source_assets":[{"declared_path":"bundle.json","sha256":"b29a08d7b8997c462432c736df940187962c8fa9fa8cfd2eb89c3fb73537c3d2"},{"declared_path":"candidates.json","sha256":"5f6fcb2cb66a26f23a6ae1a4fd3adf8b3b5212d7ce7b3c59243380b97f67522b"},{"declared_path":"fixture.json","sha256":"65ac7... | sumo_ego:fcd1e74713f77992f502bf982c64d471 | 3600bf6b504a21eb | 1249dc22bb47acd7 | bfa826a317c93401 | 0b350da3e3360793384b676b48c5a673d13d493379a3aa033022b90b0e40b851 |
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scenario_id: autonomous_driving/sustained_highway_risk_supervision/deep_planning/extreme/ngsim_1118847482500_extreme_s42
family: sustained_highway_risk_supervision
domain: autonomous_driving
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scenario_id: autonomous_driving/sustained_highway_risk_supervision/deep_planning/extreme/ngsim_1118847616700_extreme_s42
family: sustained_highway_risk_supervision
domain: autonomous_driving
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scenario_id: autonomous_driving/sustained_highway_risk_supervision/deep_planning/extreme/ngsim_1118847677100_extreme_s42
family: sustained_highway_risk_supervision
domain: autonomous_driving
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family: citylearn_der_storage_control
domain: building_energy
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source_root: works/CityLearn/data/datasets/citylearn_challenge_2022_phase_1
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OPERATE
Benchmarking Persistent Operational Agency in Source-Grounded Executable Systems
This is the current public dataset for OPERATE. Filenames are versionless; immutable Hugging Face commits identify each snapshot. The matching public code lives at Xnhyacinth/OPERATE.
The current catalog contains 769 Full scenarios across 502 physical sources
and 141 Lite scenarios across 82 sources. Qualification scoring is 0.15.0.
Live evaluations use scoring 0.18.0 (wait_relative_outcome_v1). Live
realtime uses native_dt_v1; the default speed card is 37 Core rows whose
native tick is at most 60s and whose plant wall is at most 30 minutes.
logical_persistent is the primary treatment. realtime_persistent is a
separate supervision scorecard and is not pooled into the primary score.
Lite is an efficiency and development track, not a Full leaderboard
denominator. Lite v11 freezes the prior model-informed 144-row selection.
It retains shorter cases plus the shortest long candidate per backend/family/
difficulty-mode stratum: Dyna moo (298 ticks), breakdown (400), and Sweep (111)
remain; three longer alternatives stay in Core/diagnostics. The routine
192-tick cutoff is a budget, not a definition of long-horizon agency. The
141-row set retains 204/204 declared parent features across six domains;
that does not establish complete Core or scientific coverage. Legacy all-zero/
ceiling results await repaired-measurement retests, not automatic exclusion.
The GitHub tree flattens scenario contracts to scenarios/<domain>/....
Parquet tables are reversible to that public catalog. Upstream simulators and
source datasets retain their own licenses; the dataset-card other value does
not relicense those assets under MIT.
Formal provider result publication remains pending.
leaderboard_eligible is false.
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