datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
repro-causal-jepa-learning-world-models-through-object-level-latent-masking-traces
Agent traces
Agent sessions published from a Trackio Logbook.
hidden-objects
Hidden-Objects
Image-object pairs with localized bounding boxes for learning realistic object placement in background scenes.
Project page: https://hidden-objects.github.io/
Backgrounds: Places365
Schema
Field
Type
Description
entry_id
int64
Unique row identifier
bg_path
string
Relative path to background image in Places365
fg_class
string
Foreground object category (e.g. "bottle")
bbox
list
Normalized bounding box [x, y, w, h] in range 0–1
label… See the full description on the dataset page: https://huggingface.co/datasets/marco-schouten/hidden-objects.libero_plus_object
libero_plus_object: detailed LeRobot v3.0
This dataset was converted from the LIBERO Plus LeRobot v2.1 libero_plus_object partition.
The original 8D state and 7D action vectors are preserved exactly as
raw_state.ref_state and raw_action.ref_action. Canonical low-dimensional fields follow
failure_rollout_data/dataset.md; debug.gripper_eef_* contains the ground-truth next-step
relative EEF motion for inspection.
Required camera transform for canonical training
The… See the full description on the dataset page: https://huggingface.co/datasets/typoverflow/libero_plus_object.birds-object-detection-1600x896
Birds Object Detection 1600x896
A single-class bird object-detection dataset prepared for Ultralytics at a
1600 x 896 camera resolution. The dataset uses a deterministic 90% training
and 10% validation split.
Contents
data/yolo_birds_1600x896.tar.gz: complete Ultralytics dataset archive.
manifest.json: archive size, SHA-256 checksum, and dataset metadata.
After extraction, the archive contains data.yaml and matching image and YOLO
label trees:
data.yaml… See the full description on the dataset page: https://huggingface.co/datasets/PBatch23888/birds-object-detection-1600x896.libero_object_mj332
libero_object_no_noops_lerobot: detailed LeRobot v3.0
This dataset was converted from the Fast-WAM LIBERO MuJoCo 3.3.2 LeRobot v2.1
libero_object_no_noops_lerobot partition. It contains successful demonstrations whose historical no-op actions
were removed by simulator replay before this conversion. This converter preserves all remaining
frames and does not apply any additional filtering.
The original 8D state and 7D action vectors are preserved exactly as
raw_state.ref_state and… See the full description on the dataset page: https://huggingface.co/datasets/typoverflow/libero_object_mj332.han-humanoid-vision-object-detection-metrics-v1
Humanoid Vision Detection Metrics Dataset
Overview
Dataset performa sistem visi humanoid saat mendeteksi objek.
Features
image_brightness_level
object_distance_cm
detection_confidence_score
camera_noise_index
frame_processing_time_ms
Target
detection_accuracy_percent
cybersec-jsonschemabench-cloudtrail-objective-natural-hard-v5
CybersecJSONSchemaBench CloudTrail Objective Natural Hard v5
This is a 100-problem natural-prompt long-context cybersecurity reasoning subset built from the full flAWS CloudTrail corpus.
Each row contains a natural analyst-style question, a large CloudTrail JSONL context, and the JSON schema the answer must match. Gold answers are deterministic hidden-oracle results over the serialized slice and are not included in this public export.
Families
actor_recon_to_change: 22… See the full description on the dataset page: https://huggingface.co/datasets/achinta3/cybersec-jsonschemabench-cloudtrail-objective-natural-hard-v5.ai-objective-index-sample
Dataset Card: ai-objective-index-sample
Summary
This manual-upload dataset bundle contains AI Objective Index sample benchmark data and public_beta_mcp Official MCP Registry metadata candidates.
Files
action_objects.jsonl
source_traces.jsonl
objective_scores.jsonl
golden_queries.jsonl
eval_results.json
mcp_registry_beta_candidates.jsonl
mcp_registry_source_traces.jsonl
public_beta_mcp_dataset.json
Intended Use
Read-only benchmark testing for… See the full description on the dataset page: https://huggingface.co/datasets/edict-lab/ai-objective-index-sample.object_lefthan-humanoid-object-grip-force-v1
Humanoid Object Grip Force Dataset
Description
Dataset ini mencatat parameter manipulasi objek
untuk memprediksi gaya genggaman optimal.
Features
object_weight_kg (float)
object_surface_friction (float)
finger_closure_angle_deg (float)
grip_duration_sec (float)
hand_acceleration (float)
Target
required_grip_force_newton (float)
Task
Regression
Metrics
MAE, RMSE, R²
cybersec-jsonschemabench-cloudtrail-objective-hard-v3
CybersecJSONSchemaBench CloudTrail Objective Hard v3
This is a 100-problem objective long-context cybersecurity reasoning subset built from the full flAWS CloudTrail corpus.
Each row contains an objective query prompt, a large CloudTrail JSONL context, and the JSON schema the answer must match. Gold answers are deterministic query results over the serialized slice and are not included in this public export.
Families
apigateway_restapi_event_profile: 10… See the full description on the dataset page: https://huggingface.co/datasets/achinta3/cybersec-jsonschemabench-cloudtrail-objective-hard-v3.libero-object-context-rldsmolmospaces_objectslibero-object-plain-rldsIndustrial-objectsobjview_bench
ObjView Benchmark Dataset Release
This release contains benchmark annotations for ObjView assets and scripts for reproducing the geometry preprocessing pipeline.
Files
release_dataset/
README.md
data/
slow_saturation_pool.json
main_train_public.json
scripts/
download_objaverse_glb.py
glb_to_normalized_pcd.py
glb_to_obj_blender.py
normalize_obj.py
This draft release does not include normalized OBJ or PCD geometry files. The geometry… See the full description on the dataset page: https://huggingface.co/datasets/objview/objview_bench.