Download items/summary.json from GMLRVigil/Video-Index-Pool10k: direct link, hf CLI and curl.
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https://huggingface.co/datasets/GMLRVigil/Video-Index-Pool10k/resolve/main/items/summary.json
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hf download hf://datasets/GMLRVigil/Video-Index-Pool10k/items/summary.json
-
curl -L -o summary.json https://huggingface.co/datasets/GMLRVigil/Video-Index-Pool10k/resolve/main/items/summary.json
18.3 kB
| { | |
| "items": 10000, | |
| "videos": 9688, | |
| "benchmarks": 105, | |
| "video_gb": 128.55, | |
| "mean_chance": 0.2459, | |
| "per_capability": { | |
| "grounding": 3981, | |
| "knowledge": 3180, | |
| "spatial": 1369, | |
| "temporal": 1099, | |
| "long_video": 120, | |
| "egocentric": 97, | |
| "null": 84, | |
| "hallucination": 70 | |
| }, | |
| "per_task_class": { | |
| "_none": 2147, | |
| "core": 257, | |
| "Multiple-choice Question with a Single Correct Answer": 173, | |
| "multichoice/multi_sp": 110, | |
| "counting_objects_events": 109, | |
| "multiple_choice": 108, | |
| "multiple-choice": 98, | |
| "visual_detail_recall": 91, | |
| "time_duration": 90, | |
| "action sequence": 89, | |
| "1": 77, | |
| "counting & existence": 77, | |
| "caption_mcq": 74, | |
| "Attribute Perception": 71, | |
| "Action Recognition": 69, | |
| "Camera Motion": 64, | |
| "cause-effect analysis": 64, | |
| "Motion Recognition": 64, | |
| "Object Reasoning": 62, | |
| "interaction analysis": 60, | |
| "camera-direction": 58, | |
| "temporal-relationship": 57, | |
| "spatial_aware_reasoning": 54, | |
| "VMR": 51, | |
| "temporal": 50, | |
| "spatial-relationship": 50, | |
| "non_temp": 49, | |
| "spatial relationship reasoning": 49, | |
| "Video Event": 49, | |
| "location_trace": 49, | |
| "Video Shot": 48, | |
| "anet/means_end": 47, | |
| "SI": 47, | |
| "context analysis": 47, | |
| "posture analysis": 45, | |
| "sequential_action": 45, | |
| "Counting Problem": 43, | |
| "object understanding": 43, | |
| "Action Reasoning": 42, | |
| "speed": 42, | |
| "Text-Rich Understanding": 41, | |
| "VPO": 41, | |
| "Dimensional Measurement": 40, | |
| "object_comparison": 40, | |
| "character-understanding": 39, | |
| "Reasoning": 39, | |
| "CM_F_EXO_DYN": 39, | |
| "videomme_short": 37, | |
| "Adaptation": 36, | |
| "attribute-change": 36, | |
| "Object Recognition": 34, | |
| "Summary": 34, | |
| "Comprehension": 34, | |
| "MS": 33, | |
| "Video Story": 33, | |
| "plot": 32, | |
| "object-direction": 31, | |
| "Video Clip": 31, | |
| "Location-related Motion": 31, | |
| "Action Order": 30, | |
| "order": 30, | |
| "count": 30, | |
| "Video Temporal Counting": 29, | |
| "CW": 29, | |
| "Causal Analysis": 29, | |
| "Finding": 28, | |
| "3D Video Grounding": 28, | |
| "Spatial Understanding": 27, | |
| "Object Perception": 27, | |
| "temporal_ordering_recognition": 27, | |
| "gen/qa_ego4d_trimmed": 26, | |
| "rel_spd_comp": 26, | |
| "LS_E_EXO_STA": 26, | |
| "AS": 26, | |
| "Perception": 25, | |
| "movement prediction & navigation": 25, | |
| "Temporal Reasoning": 24, | |
| "counting": 24, | |
| "Science": 24, | |
| "abs_spd_comp": 24, | |
| "rel_dis": 24, | |
| "CI_F_EXO_STA": 24, | |
| "Sports & Arts": 24, | |
| "VOO": 24, | |
| "Speed & Acceleration": 24, | |
| "event understanding": 24, | |
| "mcq_4/temporal_location": 24, | |
| "abs_dir": 23, | |
| "Information Synopsis": 23, | |
| "HO_V_EXO_STA": 23, | |
| "Motion Direction/Orientation": 23, | |
| "Action Type": 23, | |
| "entity recognition": 23, | |
| "anomaly_reco": 22, | |
| "activity": 22, | |
| "TN": 22, | |
| "2": 21, | |
| "Chart": 21, | |
| "SSS": 21, | |
| "(Motion Understanding) Camera Motion": 21, | |
| "3d_where_rotate": 21, | |
| "Change_Detection_and_Tracking/change_detection": 20, | |
| "gen/vicas": 20, | |
| "object localization & positioning": 20, | |
| "mcq_4/duration_category": 20, | |
| "SR": 19, | |
| "abs_dis": 19, | |
| "Action Perception": 19, | |
| "goal": 18, | |
| "Text_Grounding/temporal_grounding": 18, | |
| "TOS": 18, | |
| "3.2.1": 18, | |
| "17": 18, | |
| "Text_Based_Reasoning/complex_reasoning": 18, | |
| "relative_direction": 18, | |
| "(Motion Understanding) Instance Motion": 18, | |
| "Visual_Text_QA/text_centric_qa": 18, | |
| "2-description/symon": 18, | |
| "descriptive-scene": 18, | |
| "Progress Evaluation": 18, | |
| "CM": 18, | |
| "Video Emotion Recognition": 18, | |
| "Needle-in-a-Haystack": 18, | |
| "TAA": 17, | |
| "4.1": 17, | |
| "OCR Problems": 17, | |
| "rel_dir": 17, | |
| "(Spatial Construction) Instance/Scene Attribute": 17, | |
| "RV_E_EGO_DYN": 17, | |
| "path_planning": 17, | |
| "Motion-related Objects": 17, | |
| "time-order": 17, | |
| "TCI": 17, | |
| "Displacement & Path Length": 17, | |
| "Biology": 17, | |
| "Event Detection": 17, | |
| "Temporal Action Localization": 17, | |
| "anet/sequential": 16, | |
| "T3E": 16, | |
| "Embodied Tasks": 16, | |
| "Clips Summarize": 16, | |
| "Multiple Choice Question": 16, | |
| "OA": 16, | |
| "android/Reasoning": 16, | |
| "BT_E_EXO_DYN": 16, | |
| "research/medicine": 16, | |
| "VI_V_EXO_DYN": 16, | |
| "IMC": 16, | |
| "Video Captioning": 16, | |
| "E3E": 15, | |
| "Video Temporal grounding": 15, | |
| "Text_Based_Video_Understanding/multi_hop_needle_in_a_haystack": 15, | |
| "software/MCQA": 15, | |
| "fine_grained_action": 15, | |
| "ego": 15, | |
| "sp/event_existence": 15, | |
| "O2E": 14, | |
| "Puzzle": 14, | |
| "action_prediction": 14, | |
| "Video Plot Analysis": 14, | |
| "T2A": 14, | |
| "TC": 14, | |
| "Repetition Count": 14, | |
| "Action Generation": 14, | |
| "object_rel_distance_closest": 14, | |
| "Object Detection and Tracking": 14, | |
| "5": 13, | |
| "route_planning": 13, | |
| "SOS": 13, | |
| "O3O": 13, | |
| "T2O": 13, | |
| "T3O": 13, | |
| "Robust_Video_Testing/long_video": 13, | |
| "Attribute_Recognition/counting": 13, | |
| "(Cross-Video) Multi-View Integration": 13, | |
| "Prediction": 13, | |
| "hockey": 13, | |
| "abs_dir_pred": 13, | |
| "Planning": 13, | |
| "Abnormal": 13, | |
| "rel_spd": 13, | |
| "Pose Estimation": 13, | |
| "IO_V_EGO_DYN": 13, | |
| "rel_dir_pred": 13, | |
| "MC_F_EGO_STA": 13, | |
| "V/Counting": 13, | |
| "MHR": 13, | |
| "MAD": 13, | |
| "multichoice/quality": 13, | |
| "Counting": 12, | |
| "3": 12, | |
| "temporalbench_short": 12, | |
| "AI-Generated/SORA": 12, | |
| "Scene Understanding": 12, | |
| "Action Effector": 12, | |
| "key information retrieval": 12, | |
| "QC_F_EGO_DYN": 12, | |
| "object_rel_direction_backward_hard": 12, | |
| "multichoice/cp": 12, | |
| "DE_V_EGO_STA": 12, | |
| "SAA": 11, | |
| "Real World/UCFCrime": 11, | |
| "Fundamental Temporal Reasoning": 11, | |
| "Event Understanding": 11, | |
| "Count Problem": 11, | |
| "Region Localized People Counting": 11, | |
| "11": 11, | |
| "CH": 11, | |
| "Contextual Analysis": 11, | |
| "(Motion Understanding) Interactive Motion": 11, | |
| "Event Dynamic Analysis": 11, | |
| "numerical/event_count": 11, | |
| "ECA/charades_sta": 11, | |
| "relative_distance": 11, | |
| "Scene Recognition": 11, | |
| "S2E": 10, | |
| "4": 10, | |
| "S2O": 10, | |
| "Spatial Relationship": 10, | |
| "Prospective Reasoning": 10, | |
| "Special_Text_Parising/table_parsing": 10, | |
| "Action Recognition/Reasoning": 10, | |
| "2.2.2": 10, | |
| "(Cross-Video) Memoery Update": 10, | |
| "egocentric_navigation": 10, | |
| "AV/Speech Fact Retrieval": 10, | |
| "mcq_4/conditional_state": 10, | |
| "plotQA": 10, | |
| "research/neuroscience": 10, | |
| "RVQ/star": 10, | |
| "Trajectory Captioning": 10, | |
| "3d information understanding": 10, | |
| "HAC": 10, | |
| "Special_Text_Parising/document_parsing": 9, | |
| "anet/cause_effect": 9, | |
| "14": 9, | |
| "1.2.2": 9, | |
| "Situation Analysis": 9, | |
| "vinoground_textscore": 9, | |
| "Role Analysis": 9, | |
| "multi/Reasoning": 9, | |
| "Temporal Spatial Reasoning": 9, | |
| "abs_spd": 9, | |
| "2.3.1": 9, | |
| "needle": 9, | |
| "research/cancer-research": 9, | |
| "Landmark Position": 9, | |
| "gen/pt": 9, | |
| "Business": 8, | |
| "Game": 8, | |
| "unexpected_action": 8, | |
| "Robust_Video_Testing/adversarial_video": 8, | |
| "T2E": 8, | |
| "Object Recognition/Reasoning": 8, | |
| "Behavior Analysis": 8, | |
| "Geometry Length": 8, | |
| "E2O": 8, | |
| "Geometry Area": 8, | |
| "causal": 8, | |
| "2.2.1": 8, | |
| "rel_ori": 8, | |
| "V/Causal Reasoning": 8, | |
| "Medicine": 8, | |
| "Real/inter-state": 8, | |
| "2-description/yms": 8, | |
| "localization": 8, | |
| "research/behavior": 8, | |
| "3d_what_attribute_move": 8, | |
| "SAD": 8, | |
| "Spatial Reasoning": 7, | |
| "Health & Medicine": 7, | |
| "Special_Text_Parising/mathematical_formula_parsing": 7, | |
| "AI-Generated/VideoLCM": 7, | |
| "scene-understanding": 7, | |
| "S2A": 7, | |
| "Cross_Frame_Text_Understanding/scrolling_text_comprehension": 7, | |
| "1.3.1": 7, | |
| "tempcompass": 7, | |
| "IOS/MCQA": 7, | |
| "Text_Grounding/spatial_grounding": 7, | |
| "1.1.1": 7, | |
| "object_attribute": 7, | |
| "abs_ori": 7, | |
| "Causal Reasoning": 7, | |
| "(Spatial Construction) Instance-Instance Spatial Relationship": 7, | |
| "(Spatial Construction) Instance-Scene Spatial Relationship": 7, | |
| "Counterfactual": 7, | |
| "AV/Acoustic Event Recognition": 7, | |
| "spatio-temporal_consistency": 7, | |
| "vinoground_videoscore": 7, | |
| "Scene Verification & Arrangement": 7, | |
| "reasoning/temporal/duration": 7, | |
| "sg_what_object": 7, | |
| "PAR": 7, | |
| "perception/information_retrieval/factual_recall": 7, | |
| "action_sequence": 6, | |
| "Statistics": 6, | |
| "Multi-Entities Grounding and Localization": 6, | |
| "Temporal Shot Ordering": 6, | |
| "Temporal Perception": 6, | |
| "SA": 6, | |
| "Cooking Process": 6, | |
| "Multi-Person Duration Reasoning": 6, | |
| "action_localization": 6, | |
| "Narrative Analysis": 6, | |
| "Emotion Analysis": 6, | |
| "AV/Action Recognition": 6, | |
| "website/Reasoning": 6, | |
| "Change_Detection_and_Tracking/tracking": 6, | |
| "reasoning/predictive": 6, | |
| "website/MCQA": 6, | |
| "Others": 6, | |
| "android/MCQA": 6, | |
| "sp/reappear_or_disappear": 6, | |
| "(Spatial Construction) Camera-Instance Spatial Relationship": 6, | |
| "perception/information_retrieval/sequence_recall": 6, | |
| "Real/intra-state": 6, | |
| "normal/multi": 6, | |
| "landmark_recall": 6, | |
| "research/biochemistry": 6, | |
| "research/genetics": 6, | |
| "research/developmental-biology": 6, | |
| "object_rel_direction_forward_easy": 6, | |
| "relative_direction_categorical_ordinal": 6, | |
| "Spatial Perception": 5, | |
| "action_count": 5, | |
| "qvh/sequential": 5, | |
| "Topology": 5, | |
| "event": 5, | |
| "Attribute_Recognition/named_entity_recognition": 5, | |
| "ret_insert1": 5, | |
| "1.1.2": 5, | |
| "13": 5, | |
| "character_order": 5, | |
| "ord_edit1": 5, | |
| "1.1.4": 5, | |
| "cnt_insert1": 5, | |
| "object_rel_direction_easy": 5, | |
| "cnt_edit1": 5, | |
| "Influence Analysis": 5, | |
| "cnt_edit2": 5, | |
| "EA": 5, | |
| "Preparation Steps / Ingredient Analysis": 5, | |
| "Tilt up": 5, | |
| "Vague Abnormal": 5, | |
| "Pan left": 5, | |
| "memory": 5, | |
| "AV/Intentional Reasoning": 5, | |
| "gen/star": 5, | |
| "(Spatial Construction) Camera-Scene Spatial Relationship": 5, | |
| "OM": 5, | |
| "location": 5, | |
| "reasoning": 5, | |
| "weather and light": 5, | |
| "accident type": 5, | |
| "Pedestal up": 5, | |
| "V/Object Reasoning": 5, | |
| "Weather & Light/weather": 5, | |
| "reasoning/temporal/frequency": 5, | |
| "sp/cross_object_order": 5, | |
| "mcq_4/relative_spatial_change": 5, | |
| "DS_E_EGO_STA": 5, | |
| "research/engineering": 5, | |
| "research/biology": 5, | |
| "action_recognition": 5, | |
| "Goal Detection": 5, | |
| "revplan": 5, | |
| "shape": 5, | |
| "CTI": 5, | |
| "prevention method": 5, | |
| "action_recall": 5, | |
| "RAR/perception_test": 5, | |
| "3d_where_move": 5, | |
| "accident reason": 5, | |
| "direction": 5, | |
| "road type": 5, | |
| "trajectory_description": 5, | |
| "object_shuffle": 4, | |
| "nextqa": 4, | |
| "sequencing": 4, | |
| "ret_insert2": 4, | |
| "obj_appearance_order": 4, | |
| "object counting": 4, | |
| "Traffic Analysis": 4, | |
| "Arithmetic": 4, | |
| "Special_Text_Parising/chart_parsing": 4, | |
| "Optical Character Recognition": 4, | |
| "1.2.3": 4, | |
| "XR/Reasoning": 4, | |
| "DC": 4, | |
| "multichoice/moral": 4, | |
| "ord_insert2": 4, | |
| "1.3.2": 4, | |
| "vitatecs": 4, | |
| "operation_planning": 4, | |
| "Interaction Analysis": 4, | |
| "TVBench": 4, | |
| "software/Reasoning": 4, | |
| "AV/Speech Content Reasoning": 4, | |
| "plot-understanding": 4, | |
| "temporal grounding": 4, | |
| "spatial_consistency": 4, | |
| "Single": 4, | |
| "sg_what_relation": 4, | |
| "positional_relationship": 4, | |
| "V/Attribute Recognition": 4, | |
| "object_rel_direction_backward_easy": 4, | |
| "Association Reasoning": 4, | |
| "V/Object Recognition": 4, | |
| "Road Conditions": 4, | |
| "Chemistry": 4, | |
| "research/bioengineering": 4, | |
| "Physics": 4, | |
| "object_rel_direction_forward_hard": 4, | |
| "action_antonym": 3, | |
| "Text_Based_Video_Understanding/subtitle_based_video_understanding": 3, | |
| "Tech & Engineering": 3, | |
| "scene_transition": 3, | |
| "presence": 3, | |
| "AI-Generated/ModelScope": 3, | |
| "Video Knowledge Reasoning": 3, | |
| "ret_edit1": 3, | |
| "AI-Generated/Runway Gen2": 3, | |
| "6": 3, | |
| "Geometry Angle": 3, | |
| "Action Counting": 3, | |
| "Zoom in": 3, | |
| "perceptiontest_val": 3, | |
| "Motion Magnitude": 3, | |
| "1.2.1": 3, | |
| "troubleshooting_causal": 3, | |
| "Theme Analysis": 3, | |
| "False Action Memory": 3, | |
| "False Object Memory": 3, | |
| "Causal": 3, | |
| "AV/Acoustic Attribute Recognition": 3, | |
| "task3/easy": 3, | |
| "0": 3, | |
| "AV/Causal Reasoning": 3, | |
| "object_rel_direction_medium": 3, | |
| "Action Frequency": 3, | |
| "AV/Counting": 3, | |
| "V/Emotional Reasoning": 3, | |
| "object_rel_direction_hard": 3, | |
| "Tilt down": 3, | |
| "Trucking left": 3, | |
| "object_rel_distance": 3, | |
| "reasoning/temporal/prerequisites": 3, | |
| "(Spatial Construction) Scene-Scene Spatial Relationship": 3, | |
| "summarization/key_events_objects": 3, | |
| "High-level Planning": 3, | |
| "Start/End Position": 3, | |
| "multi-view & cross-image reasoning": 3, | |
| "research/chemistry": 3, | |
| "Functional_Association": 3, | |
| "TA": 3, | |
| "hazard/single": 3, | |
| "Sim/object_changes": 3, | |
| "Sim/object_info": 3, | |
| "moving_direction": 2, | |
| "object_interaction": 2, | |
| "anomaly": 2, | |
| "lvb/SSS": 2, | |
| "Normal": 2, | |
| "cup_stacking_3rd": 2, | |
| "keyboard": 2, | |
| "lvb/TAA": 2, | |
| "lvb/TOS": 2, | |
| "TP": 2, | |
| "object_existence": 2, | |
| "Zoom out": 2, | |
| "Appearance-Grounded Localization & Trajectory": 2, | |
| "lvb/S2O": 2, | |
| "denial": 2, | |
| "Attribute_Recognition/color_recognition": 2, | |
| "10": 2, | |
| "summarization/compare_and_contrast": 2, | |
| "1.3.3": 2, | |
| "1.3.4": 2, | |
| "tilt_box": 2, | |
| "rope/rope_goaldriven": 2, | |
| "navigation/object_retrieval": 2, | |
| "NSM": 2, | |
| "reasoning/counterfactual": 2, | |
| "OBJECT_MANIPULATION": 2, | |
| "IOS/Reasoning": 2, | |
| "2.2.3": 2, | |
| "topic_reasoning": 2, | |
| "Duration": 2, | |
| "Scene Recall": 2, | |
| "Trajectory Description": 2, | |
| "Proximity": 2, | |
| "multi/MCQA": 2, | |
| "AV/Summarization": 2, | |
| "V/Captioning": 2, | |
| "summarization": 2, | |
| "AV/OCR": 2, | |
| "V/Summarization": 2, | |
| "V/Intentional Reasoning": 2, | |
| "hazard/multi": 2, | |
| "perception/information_retrieval/temporal_distance": 2, | |
| "4.2": 2, | |
| "viewpoint": 2, | |
| "Roll clockwise": 2, | |
| "2.1.2": 2, | |
| "AV/Object Reasoning": 2, | |
| "XR/MCQA": 2, | |
| "V/Temporal Grounding": 2, | |
| "Pull out": 2, | |
| "Trucking right": 2, | |
| "layout-reasoning": 2, | |
| "reasoning/spatial/proximity": 2, | |
| "V/OCR": 2, | |
| "Spatial Relation": 2, | |
| "Ego-Centric Orientation": 2, | |
| "V/Action Recognition": 2, | |
| "gen/clevrer": 2, | |
| "reasoning/spatial/relationship": 2, | |
| "research/immunology-infection": 2, | |
| "research/environment": 2, | |
| "action": 2, | |
| "3d_what_attribute_rotate": 2, | |
| "covid": 2, | |
| "Sim/multi_states_agent_explore": 2, | |
| "normal/single": 2, | |
| "3d_what_move": 2, | |
| "Type": 2, | |
| "fluid/goaldriven_container": 1, | |
| "PERSON_INTERACTION": 1, | |
| "action recognition": 1, | |
| "fine_grained_pose": 1, | |
| "occlusion": 1, | |
| "part recognition": 1, | |
| "solidity": 1, | |
| "Action Sequence Integrity Identification": 1, | |
| "lvb/E2O": 1, | |
| "lvb/E3E": 1, | |
| "lvb/T2A": 1, | |
| "lvb/T2E": 1, | |
| "lvb/T3O": 1, | |
| "Robust_Video_Testing/AIGC_video": 1, | |
| "1.1.3": 1, | |
| "1.3.5": 1, | |
| "3.3.3": 1, | |
| "Common Sense": 1, | |
| "Event Order": 1, | |
| "15": 1, | |
| "8": 1, | |
| "AI-Generated/OpenSora": 1, | |
| "Real World/Avenue": 1, | |
| "Real World/UCSD-Ped2": 1, | |
| "control/subset": 1, | |
| "boxing": 1, | |
| "cup_stacking_2nd": 1, | |
| "cup_stacking_4th": 1, | |
| "latte_art": 1, | |
| "sokoban": 1, | |
| "Multiple Choice Question(short-form)": 1, | |
| "PAR\uff08\u56e0\u7528\u6237\u6807\u6ce8\u65e0\u8d85\u81ea\u7136\u5143\u7d20\uff0c\u4f46\u5b9e\u9645\u5267\u60c5\u542b\u62cd\u624b\u63a7\u706f\u73b0\u8c61\uff0c\u8865\u5145\u4e00\u9898\uff09": 1, | |
| "object permanence": 1, | |
| "spatial relations": 1, | |
| "state recognition": 1, | |
| "action-understanding": 1, | |
| "DL": 1, | |
| "2.1.1": 1, | |
| "3.1.2": 1, | |
| "3.3.1": 1, | |
| "qvh/means_end": 1, | |
| "ladder_slip": 1, | |
| "agent_bind/subset": 1, | |
| "agent_random/subset": 1, | |
| "cup_stacking_1st": 1, | |
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| }, | |
| "per_duration_group": { | |
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| "30-60s": 1433, | |
| "<10s": 1432, | |
| "1-3min": 1427, | |
| "3-10min": 1427, | |
| ">30min": 1426, | |
| "10-30min": 1422 | |
| }, | |
| "per_scene_type": { | |
| "household_daily_life": 1089, | |
| "film_tv_narrative": 1077, | |
| "education_lecture_tutorial": 788, | |
| "news_documentary_interview": 766, | |
| "humor_memes_advertising": 750, | |
| "sports_exercise": 679, | |
| "cooking_food": 572, | |
| "animals_wildlife": 563, | |
| "ai_generated_synthetic": 466, | |
| "video_games_software_ui": 413, | |
| "science_experiment_lab": 406, | |
| "music_dance_performance": 399, | |
| "other": 351, | |
| "traffic_driving_accidents": 332, | |
| "surveillance_security_anomaly": 304, | |
| "aerial_drone_urban_navigation": 296, | |
| "industrial_construction_manufacturing": 285, | |
| "embodied_robot_manipulation": 270, | |
| "medical_clinical_first_aid": 194 | |
| } | |
| } |