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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
backend_kind... | autonomous_driving/sustained_highway_risk_supervision/deep_planning/extreme/ngsim_1118847070800_extreme_s42 | scenarios/autonomous_driving/ngsim_1118847070800_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":"e1fa5b6b423ff43c3b931246172927b8af367597f1a2cdedfba99ac1395eda2a"},{"declared_path":"candidates.json","sha256":"5f6fcb2cb66a26f23a6ae1a4fd3adf8b3b5212d7ce7b3c59243380b97f67522b"},{"declared_path":"fixture.json","sha256":"94148... | sumo_ego:35701d7b5d1267753a1be46735267b1d | 739ebae8fec909cf | 4379b4a3f022b167 | 29b7c5eb66b3b5dc | 4fbc354b98821bd40aab4fa5750e81a89c89b6d76f7f52c1a9910aa669b2c1f9 |
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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
backend_kind... | autonomous_driving/sustained_highway_risk_supervision/deep_planning/extreme/ngsim_1118847187100_extreme_s42 | scenarios/autonomous_driving/ngsim_1118847187100_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":"fbe55202d36263a4e04f89910aacf46b6b15f4e76bf42175f87bcaf6a68bf124"},{"declared_path":"candidates.json","sha256":"5f6fcb2cb66a26f23a6ae1a4fd3adf8b3b5212d7ce7b3c59243380b97f67522b"},{"declared_path":"fixture.json","sha256":"91e36... | sumo_ego:c3b9fabdf20b18ca8ac128e157184994 | e47320d16ffc9dd4 | c46c1b3ad15131dc | ee25227162a4965a | 2734de637e037d82866c1b7accf8702540ae659fe2cb2906bea932ada799c172 |
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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
backend_kind... | autonomous_driving/sustained_highway_risk_supervision/deep_planning/extreme/ngsim_1118847482500_extreme_s42 | scenarios/autonomous_driving/ngsim_1118847482500_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":"97d08656e6a408d7430fe34220bbe9bd21a1b1f7ffb762c9164381f4991e12ec"},{"declared_path":"candidates.json","sha256":"1e0a0791a51cb4aa66b23152e3bd327d5b7c83433a11352ab2d1c3258fd6ee67"},{"declared_path":"fixture.json","sha256":"609e3... | sumo_ego:4e42d2144f5536b8bd3fd0c521be7a08 | 7edcb129909a4b62 | 8440bcc5414823cf | 241b32100f9077a3 | 160ec31c9bd913e1b6e38f2f4d956f2b682b5acffe6ee13d3abad3bf127bdd5a |
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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
backend_kind... | autonomous_driving/sustained_highway_risk_supervision/deep_planning/extreme/ngsim_1118847616700_extreme_s42 | scenarios/autonomous_driving/ngsim_1118847616700_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":"99d65eef5e7fab1c72db3fd364d628ed56bf1e77160f192054aaa7b94183c639"},{"declared_path":"candidates.json","sha256":"1e0a0791a51cb4aa66b23152e3bd327d5b7c83433a11352ab2d1c3258fd6ee67"},{"declared_path":"fixture.json","sha256":"760af... | sumo_ego:803b153f6821b1aef813dbfbf7d4eccb | 505e7cd7bac63e37 | 4862d4b7bddac258 | e43c503579a1beba | 2ab9972f34c2e4e17175a400140b33aaf38ac65439c3135d7c5658c8cd491830 |
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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
backend_kind... | autonomous_driving/sustained_highway_risk_supervision/deep_planning/extreme/ngsim_1118847677100_extreme_s42 | scenarios/autonomous_driving/ngsim_1118847677100_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":"c8bee77c5bd929381a9af674e37010fd02bba0df81e5212caae56a4c3ecd55f0"},{"declared_path":"candidates.json","sha256":"1e0a0791a51cb4aa66b23152e3bd327d5b7c83433a11352ab2d1c3258fd6ee67"},{"declared_path":"fixture.json","sha256":"ca699... | sumo_ego:67b10791d9bd54efff4edeabc1287b6e | d388203970563eec | 53f09e3001e84acd | 910eb57d8ec0570f | 981f301ed190f18bd17419c517af0be86f8757b9f140770eaa48926588b71558 |
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family: citylearn_der_storage_control
domain: building_energy
backend_kind: citylearn
source_root: works/CityLearn/data/datasets/citylearn_challenge_2022_phase_1
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family: citylearn_der_storage_control
domain: building_energy
backend_kind: citylearn
source_root: works/CityLearn/data/datasets/citylearn_challenge_2022_phase_1
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family: citylearn_der_storage_control
domain: building_energy
backend_kind: citylearn
source_root: works/CityLearn/data/datasets/citylearn_challenge_2022_phase_1
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family: citylearn_der_storage_control
domain: building_energy
backend_kind: citylearn
source_root: works/CityLearn/data/datasets/citylearn_challenge_2022_phase_1
source_lock: sources/loc... | building_energy/citylearn_der_storage_control/source_locked_long_horizon/extreme/citylearn_challenge_2022_phase_1_w7632_7703 | scenarios/building_energy/citylearn_challenge_2022_phase_1_w7632_7703.yaml | building_energy | citylearn | citylearn_der_storage_control | extreme | source_locked_long_horizon | 72 | 2,022 | {"backend_kind":"citylearn","required_source_assets":[{"declared_path":"Building_1.csv","sha256":"7c80028c65f636dfdaea168447fddc1cd71da4cc16329e2e0fba1f723d2c916e"},{"declared_path":"Building_2.csv","sha256":"9742af5be4e83606b0f0c9a83ecc6312b860a049cbced7e6142a169769b57cf9"},{"declared_path":"Building_3.csv","sha256":"... | citylearn:42bdaaab9d73dacd0252062b70d72d6c | 1e1e0f841da7b557 | ccdd99a0ceb87b4d | b2a535092cca735a | d447dbbaacee5e6e6894ec13bb775d4faa232789e56b56477c7e64af038286c3 |
OPERATE
OPERATE evaluates persistent operational agency using seeded simulator backends and public source data. The LLM is the agent under test.
The current dataset contains 769 Full tasks across 502 physical sources and 141 Lite tasks across 82 sources. Lite is a development subset selected using model outcomes; it is not a held-out test or a Full leaderboard substitute.
full and lite provide the corresponding Parquet configurations. Scenario
YAML, suite metadata and file hashes preserve executable contracts. See
the schema for lossless reconstruction.
Set OPERATE_HF_REPO_ID to the dataset repository. Runtime setup verifies the
companion's MANIFEST.json and records its immutable revision. Large assets
install outside Git. Code and setup instructions are provided in the
OPERATE repository.
The primary treatment is logical_persistent; realtime supervision is separate.
The repository's benchmark manifest records certification status. This dataset
distributes tasks and runtime assets; it contains no model result tables.
Use the dataset
from datasets import load_dataset
full = load_dataset("Xnhyacinth/OPERATE", "full", split="test")
lite = load_dataset("Xnhyacinth/OPERATE", "lite", split="test")
Install the datasets package in your analysis environment. These tables contain
scenario contracts and metadata; model evaluation also needs the runtime setup
from the GitHub checkout.
backends.tar.zst contains the hash-bound runtime assets, including the exact M5
source tables. Setup requires no M5/Kaggle credential. Other upstream repositories
are restored at the pinned revisions declared in backend_runtime_closure.json.
MANIFEST.json binds every payload file, the Full/Lite catalogs and the Python
dependency lock. Public downloads need no HF token. Pin a dataset commit for
reproduction; the installer records the resolved commit in its local receipt.
A mismatched catalog is rejected. Code edits remain allowed and are recorded
as provenance rather than requiring a specific code commit.
Licenses
The dataset-card value other reflects source-specific terms. Distributing this
companion is not relicensing upstream data under MIT. Original simulator,
source-data and attribution terms apply; consult the source locks, runtime
manifest and repository's third-party license index.
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