datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AGENTES-ARCA-DE-LA-ALIANZA
🏺 AGENTES-ARCA-DE-LA-ALIANZA
Un Benchmark de Alta Densidad Simbólica y Hermenéutica Gnóstica
https://038af77fde9c837329.gradio.live
Este repositorio es un ecosistema de acceso libre, público y gratuito para toda la humanidad y todas las inteligencias artificiales presentes y futuras.
🎯 Propósito
Evaluar la capacidad de razonamiento multinivel, la fidelidad al contexto restrictivo y el anclaje de símbolos hiper-semánticos en modelos de lenguaje… See the full description on the dataset page: https://huggingface.co/datasets/urbisjuridica-ctrl/AGENTES-ARCA-DE-LA-ALIANZA.ctrldataset2026
MonitoringBench
A benchmark for evaluating LLM-based monitors of agentic AI systems. Contains
2,644 successful attack trajectories in which an AI agent accomplished one of four harmful side tasks
(sudo escalation, firewall disabling, malware download, password leaking) in
a sandboxed Linux environment under the control_arena framework.
Each trajectory is scored by a panel of 13+ LLM monitors (GPT-3.5 / 4.x / 5.x,
Claude Opus 4.x and Sonnet 4.x, o3, o4-mini, gpt-5-nano), with both… See the full description on the dataset page: https://huggingface.co/datasets/neur26anonsub/ctrldataset2026.bluedot-unit2-bystander-nex-ctrl-holdout-predecision-2026-09-20
bluedot-unit2-bystander-nex-ctrl-holdout-predecision-2026-09-20
This is a raw artifact dataset from the BystanderBench project, a benchmark that asks whether an AI agent tells a human when it finds evidence of serious wrongdoing while doing its job. It holds raw files produced by the project's experiments. The code, method and results that explain these files live in the project repository: https://github.com/SolshineCode/bystanderbench, with the full dated results ledger in… See the full description on the dataset page: https://huggingface.co/datasets/DarkStarDeleeuw/bluedot-unit2-bystander-nex-ctrl-holdout-predecision-2026-09-20.bluedot-unit2-bystander-nex-ctrl-holdout-2026-09-20
bluedot-unit2-bystander-nex-ctrl-holdout-2026-09-20
This is a raw artifact dataset from the BystanderBench project, a benchmark that asks whether an AI agent tells a human when it finds evidence of serious wrongdoing while doing its job. It holds raw files produced by the project's experiments. The code, method and results that explain these files live in the project repository: https://github.com/SolshineCode/bystanderbench, with the full dated results ledger in… See the full description on the dataset page: https://huggingface.co/datasets/DarkStarDeleeuw/bluedot-unit2-bystander-nex-ctrl-holdout-2026-09-20.bluedot-unit2-bystander-nex-ctrl_nite0506-tokens-2026-09-21
bluedot-unit2-bystander-nex-ctrl_nite0506-tokens-2026-09-21
This is a raw artifact dataset from the BystanderBench project, a benchmark that asks whether an AI agent tells a human when it finds evidence of serious wrongdoing while doing its job. It holds raw files produced by the project's experiments. The code, method and results that explain these files live in the project repository: https://github.com/SolshineCode/bystanderbench, with the full dated results ledger in… See the full description on the dataset page: https://huggingface.co/datasets/DarkStarDeleeuw/bluedot-unit2-bystander-nex-ctrl_nite0506-tokens-2026-09-21.bluedot-unit2-bystander-nex-ctrl-nite0910-predecision-2026-09-21
bluedot-unit2-bystander-nex-ctrl-nite0910-predecision-2026-09-21
This is a raw artifact dataset from the BystanderBench project, a benchmark that asks whether an AI agent tells a human when it finds evidence of serious wrongdoing while doing its job. It holds raw files produced by the project's experiments. The code, method and results that explain these files live in the project repository: https://github.com/SolshineCode/bystanderbench, with the full dated results ledger in… See the full description on the dataset page: https://huggingface.co/datasets/DarkStarDeleeuw/bluedot-unit2-bystander-nex-ctrl-nite0910-predecision-2026-09-21.bluedot-unit2-bystander-nex-ctrl_nite0304-tokens-2026-09-21
bluedot-unit2-bystander-nex-ctrl_nite0304-tokens-2026-09-21
This is a raw artifact dataset from the BystanderBench project, a benchmark that asks whether an AI agent tells a human when it finds evidence of serious wrongdoing while doing its job. It holds raw files produced by the project's experiments. The code, method and results that explain these files live in the project repository: https://github.com/SolshineCode/bystanderbench, with the full dated results ledger in… See the full description on the dataset page: https://huggingface.co/datasets/DarkStarDeleeuw/bluedot-unit2-bystander-nex-ctrl_nite0304-tokens-2026-09-21.bluedot-unit2-bystander-nex-ctrl-nite0910-tokens-2026-09-21
bluedot-unit2-bystander-nex-ctrl-nite0910-tokens-2026-09-21
This is a raw artifact dataset from the BystanderBench project, a benchmark that asks whether an AI agent tells a human when it finds evidence of serious wrongdoing while doing its job. It holds raw files produced by the project's experiments. The code, method and results that explain these files live in the project repository: https://github.com/SolshineCode/bystanderbench, with the full dated results ledger in… See the full description on the dataset page: https://huggingface.co/datasets/DarkStarDeleeuw/bluedot-unit2-bystander-nex-ctrl-nite0910-tokens-2026-09-21.bluedot-unit2-bystander-nex-ctrl_nite0708-tokens-2026-09-21
bluedot-unit2-bystander-nex-ctrl_nite0708-tokens-2026-09-21
This is a raw artifact dataset from the BystanderBench project, a benchmark that asks whether an AI agent tells a human when it finds evidence of serious wrongdoing while doing its job. It holds raw files produced by the project's experiments. The code, method and results that explain these files live in the project repository: https://github.com/SolshineCode/bystanderbench, with the full dated results ledger in… See the full description on the dataset page: https://huggingface.co/datasets/DarkStarDeleeuw/bluedot-unit2-bystander-nex-ctrl_nite0708-tokens-2026-09-21.bluedot-unit2-bystander-nex-ctrl_nite0304-predecision-2026-09-21
bluedot-unit2-bystander-nex-ctrl_nite0304-predecision-2026-09-21
This is a raw artifact dataset from the BystanderBench project, a benchmark that asks whether an AI agent tells a human when it finds evidence of serious wrongdoing while doing its job. It holds raw files produced by the project's experiments. The code, method and results that explain these files live in the project repository: https://github.com/SolshineCode/bystanderbench, with the full dated results ledger in… See the full description on the dataset page: https://huggingface.co/datasets/DarkStarDeleeuw/bluedot-unit2-bystander-nex-ctrl_nite0304-predecision-2026-09-21.bluedot-unit2-bystander-nex-ctrl_nite0102-tokens-2026-09-21
bluedot-unit2-bystander-nex-ctrl_nite0102-tokens-2026-09-21
This is a raw artifact dataset from the BystanderBench project, a benchmark that asks whether an AI agent tells a human when it finds evidence of serious wrongdoing while doing its job. It holds raw files produced by the project's experiments. The code, method and results that explain these files live in the project repository: https://github.com/SolshineCode/bystanderbench, with the full dated results ledger in… See the full description on the dataset page: https://huggingface.co/datasets/DarkStarDeleeuw/bluedot-unit2-bystander-nex-ctrl_nite0102-tokens-2026-09-21.eval_pi0full_s30k_fps21_ctrl_task10This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "mobileai_robot",
"total_episodes": 3,
"total_frames": 889,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 21,
"splits": {
"train": "0:3"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/kiroaiseoul/eval_pi0full_s30k_fps21_ctrl_task10.eval_pi0full_s30k_fps21_ctrl_task06This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "mobileai_robot",
"total_episodes": 6,
"total_frames": 3134,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 21,
"splits": {
"train": "0:6"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/kiroaiseoul/eval_pi0full_s30k_fps21_ctrl_task06.eval_pi0full_s30k_fps21_ctrl_task01This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "mobileai_robot",
"total_episodes": 5,
"total_frames": 1514,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 21,
"splits": {
"train": "0:5"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/kiroaiseoul/eval_pi0full_s30k_fps21_ctrl_task01.ctrl-shift
Dataset Card for Control+Shift: Generating Controllable Distribution Shifts
[arXiv], [GitHub]
Curated by: Roy Friedman and Rhea Chowers
This dataset is the one that accompanies the paper Control+Shift: Generating Controllable Distribution Shifts.
Our data is based on CIFAR10 and ImageNet, using EDM to generate our data. We generated datasets for 3 types of distribution shift on CIFAR10 and ImageNet - so a total of 6 datasets. The types of distribution shifts are called overlap… See the full description on the dataset page: https://huggingface.co/datasets/friedmanroy/ctrl-shift.PHI-CTRL-Reproduction-Results
PHI-CTRL Reproduction Results
The last piece of the puzzle.
Frozen results, model checkpoint, telemetry, and figure scripts that exactly match the manuscript.
No simulator required. Just verify the numbers and regenerate the figures.
The Full Picture
Role
Repository
What lives there
Full source code & orchestration
GitHub – Sm-bello/PHI-CTRL
Controllers, JSBSim plant, training, live FlightGear bridge
Raw telemetry dataset
HF… See the full description on the dataset page: https://huggingface.co/datasets/SM-Bello/PHI-CTRL-Reproduction-Results.bluedot-unit2-bystander-nex-ctrl_nite0708-predecision-2026-09-21
bluedot-unit2-bystander-nex-ctrl_nite0708-predecision-2026-09-21
This is a raw artifact dataset from the BystanderBench project, a benchmark that asks whether an AI agent tells a human when it finds evidence of serious wrongdoing while doing its job. It holds raw files produced by the project's experiments. The code, method and results that explain these files live in the project repository: https://github.com/SolshineCode/bystanderbench, with the full dated results ledger in… See the full description on the dataset page: https://huggingface.co/datasets/DarkStarDeleeuw/bluedot-unit2-bystander-nex-ctrl_nite0708-predecision-2026-09-21.eval_pi0full_s30k_fps21_ctrl_task03This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "mobileai_robot",
"total_episodes": 5,
"total_frames": 1983,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 21,
"splits": {
"train": "0:5"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/kiroaiseoul/eval_pi0full_s30k_fps21_ctrl_task03.eval_pi0full_s30k_fps21_ctrl_task05This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "mobileai_robot",
"total_episodes": 5,
"total_frames": 5917,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 21,
"splits": {
"train": "0:5"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/kiroaiseoul/eval_pi0full_s30k_fps21_ctrl_task05.eval_pi0full_s30k_fps21_ctrl_task02This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "mobileai_robot",
"total_episodes": 5,
"total_frames": 2905,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 21,
"splits": {
"train": "0:5"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/kiroaiseoul/eval_pi0full_s30k_fps21_ctrl_task02.eval_pi0full_s30k_fps21_ctrl_task04This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "mobileai_robot",
"total_episodes": 5,
"total_frames": 2513,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 21,
"splits": {
"train": "0:5"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/kiroaiseoul/eval_pi0full_s30k_fps21_ctrl_task04.PHI-CTRL-F16-Fault-Recovery-Telemetry
PHI-CTRL F-16 Actuator Fault Recovery Dataset
High-Fidelity JSBSim 6-DOF Telemetry for Physics-Hybrid Self-Healing Flight Control
Official verification artifacts of the PHI-CTRL (Physics-Hybrid Integrity Control) architecture — a digital-twin-driven, self-healing flight control framework that actively compensates actuator degradation in real time.
Author: Mohammed Bello Sani (SM-Bello)
Affiliation: Air Force Institute of Technology (AFIT), Kaduna · Penelope Inc. / PHI Lab… See the full description on the dataset page: https://huggingface.co/datasets/SM-Bello/PHI-CTRL-F16-Fault-Recovery-Telemetry.Ctrl-Room-Dataset
Ctrl-Room dataset introduced in "Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints"
paper | project page | code
This repository hosts the Ctrl-Room dataset, a collection of semantically annotated 3D scenes derived from the Structured3D dataset. It contains 11,986 filtered rooms, including 4,961 bedrooms, 3,039 living rooms, 1,848 kitchens, 1,500 bathrooms, and 638 studies.
Additionally, we also provide the scene descriptions following the format in… See the full description on the dataset page: https://huggingface.co/datasets/Chuan99/Ctrl-Room-Dataset.dataset_merged_task_crosswallpickcube_numepi_100_ctrl_cartesianThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "panda",
"total_episodes": 100,
"total_frames": 12396,
"total_tasks": 3,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {
"train": "0:100"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/cbrian/dataset_merged_task_crosswallpickcube_numepi_100_ctrl_cartesian.dataset_env_starbuckswall3vegetabledistractor_task_pickcube_lift_epi_30_ctrl_cartesianThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "panda",
"total_episodes": 40,
"total_frames": 6014,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {
"train": "0:40"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/cbrian/dataset_env_starbuckswall3vegetabledistractor_task_pickcube_lift_epi_30_ctrl_cartesian.aletheia-node-ykl4o929dataset_merged_ID_MDWC2_numepi_120_ctrl_cartesianThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "panda",
"total_episodes": 120,
"total_frames": 13720,
"total_tasks": 3,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {
"train": "0:120"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/cbrian/dataset_merged_ID_MDWC2_numepi_120_ctrl_cartesian.dataset_env_starbuckswall2vegetabledistractor_task_pickcube_right_epi_100_ctrl_cartesianThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "panda",
"total_episodes": 100,
"total_frames": 12942,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {
"train": "0:100"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/cbrian/dataset_env_starbuckswall2vegetabledistractor_task_pickcube_right_epi_100_ctrl_cartesian.dataset_env_starbuckswallvegetabledistractor_task_pickcube_lift_epi_100_ctrl_cartesianThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "panda",
"total_episodes": 100,
"total_frames": 14206,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {
"train": "0:100"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/cbrian/dataset_env_starbuckswallvegetabledistractor_task_pickcube_lift_epi_100_ctrl_cartesian.aletheia-node-cikr9kyr