Download subset_catalog.json from RoboValue/robovalue-dataset: direct link, hf CLI and curl.
- Browser
- Download file 20.6 kB
-
https://huggingface.co/datasets/RoboValue/robovalue-dataset/resolve/main/subset_catalog.json
- Command line
-
hf download hf://datasets/RoboValue/robovalue-dataset/subset_catalog.json
-
curl -L -o subset_catalog.json https://huggingface.co/datasets/RoboValue/robovalue-dataset/resolve/main/subset_catalog.json
20.6 kB
| { | |
| "schema_version": 1, | |
| "repo_id": "wzlllong/value-model-benchmark-training-data", | |
| "release_format": "LeRobot Dataset v3.0", | |
| "documentation": { | |
| "en": "README.md", | |
| "zh": "README_zh.md" | |
| }, | |
| "domains": [ | |
| { | |
| "domain": "simulation", | |
| "name_en": "Simulation", | |
| "name_zh": "仿真世界", | |
| "subsets": [ | |
| "simulation-full-shot-data", | |
| "simulation-one-shot-data", | |
| "simulation-test-30" | |
| ], | |
| "platform": "ARX" | |
| }, | |
| { | |
| "domain": "real-world", | |
| "name_en": "Real-World", | |
| "name_zh": "真实世界", | |
| "subsets": [ | |
| "real-world-full-shot-data", | |
| "real-world-one-shot-data", | |
| "real-world-test-30" | |
| ], | |
| "platform": "AgiBot Genie02" | |
| } | |
| ], | |
| "available_subsets": [ | |
| { | |
| "subset_id": "simulation-full-shot-data", | |
| "domain": "simulation", | |
| "shot_regime": "full-shot", | |
| "availability": "available", | |
| "tasks": 15, | |
| "episodes_per_task": 100, | |
| "episodes": 1500, | |
| "path_in_repo": "training-data/simulation/full-shot", | |
| "name_en": "Simulation Full-Shot Training Data", | |
| "name_zh": "仿真 Full-Shot 训练集", | |
| "format": "LeRobot v3.0", | |
| "robot_type": "unified_robot", | |
| "frames": 789612, | |
| "fps": 25, | |
| "camera_streams_per_episode": 3, | |
| "state_dimensions": 14, | |
| "action_dimensions": 14, | |
| "splits": { | |
| "train": "0:1500" | |
| }, | |
| "reference_repo": "RoboDojo-Benchmark/RoboDojo", | |
| "video_codecs": [ | |
| "av1", | |
| "h264" | |
| ], | |
| "videos": 4500, | |
| "platform": "ARX", | |
| "source_description_en": "Based on open-source RoboDojo data reviewed by our team, with selected demonstrations recorded again.", | |
| "source_description_zh": "基于 RoboDojo 开源数据,经团队审核后,对部分示例重新采集。", | |
| "display_task_names": [ | |
| "Arrange Largest Number", | |
| "Fill Pen Holder", | |
| "Fold Clothes", | |
| "Hang Mugs", | |
| "Insert Tubes", | |
| "Make Toast", | |
| "Organize Table", | |
| "Pack Objects Into Box", | |
| "Play Stacking Toy", | |
| "Press By Number", | |
| "Put Bottles Into Dustbin", | |
| "Stack Blocks", | |
| "Store Laptop And Headphones", | |
| "Swap Blocks", | |
| "Sweep Blocks" | |
| ], | |
| "display_task_names_zh": [ | |
| "排列数字组成最大数", | |
| "装填笔筒", | |
| "折叠衣物", | |
| "悬挂马克杯", | |
| "插入管子", | |
| "制作吐司", | |
| "整理桌面", | |
| "将物品装入盒中", | |
| "操作堆叠玩具", | |
| "依照数字按按钮", | |
| "将瓶子放入垃圾桶", | |
| "堆叠积木", | |
| "收纳笔记本电脑与耳机", | |
| "交换积木位置", | |
| "清扫积木" | |
| ], | |
| "role": "training", | |
| "size_bytes": 45467875256, | |
| "size_scope": "entire subset directory, including annotations, documentation and integrity files", | |
| "subtasks": { | |
| "definitions": "training-data/simulation/full-shot/annotations/subtasks.json", | |
| "task_count": 15, | |
| "definition_count": 58, | |
| "temporal_annotations_available": false, | |
| "revision": "3f21eb1beeedaf1b1d5aaacda4a033174521d8c3" | |
| }, | |
| "task_keys": [ | |
| "arrange_largest_number", | |
| "fill_pen_holder", | |
| "fold_clothes", | |
| "hang_mugs", | |
| "insert_tubes", | |
| "make_toast", | |
| "organize_table", | |
| "pack_objects_into_box", | |
| "play_stacking_toy", | |
| "press_by_number", | |
| "put_bottles_into_dustbin", | |
| "stack_blocks", | |
| "store_laptop_and_headphones", | |
| "swap_blocks", | |
| "sweep_blocks" | |
| ], | |
| "conversion": "training-data/simulation/full-shot/meta/conversion.json" | |
| }, | |
| { | |
| "subset_id": "simulation-one-shot-data", | |
| "domain": "simulation", | |
| "shot_regime": "one-shot", | |
| "availability": "available", | |
| "tasks": 15, | |
| "episodes_per_task": 1, | |
| "episodes": 15, | |
| "path_in_repo": "training-data/simulation/one-shot", | |
| "name_en": "Simulation One-Shot Training Data", | |
| "name_zh": "仿真 One-Shot 训练集", | |
| "format": "LeRobot v3.0", | |
| "robot_type": "unified_robot", | |
| "frames": 8080, | |
| "fps": 25, | |
| "camera_streams_per_episode": 3, | |
| "state_dimensions": 14, | |
| "action_dimensions": 14, | |
| "splits": { | |
| "train": "0:15" | |
| }, | |
| "video_codecs": [ | |
| "av1" | |
| ], | |
| "videos": 45, | |
| "platform": "ARX", | |
| "source_description_en": "Based on open-source RoboDojo data reviewed by our team, with selected demonstrations recorded again.", | |
| "source_description_zh": "基于 RoboDojo 开源数据,经团队审核后,对部分示例重新采集。", | |
| "display_task_names": [ | |
| "Arrange Largest Number", | |
| "Fill Pen Holder", | |
| "Fold Clothes", | |
| "Hang Mugs", | |
| "Insert Tubes", | |
| "Make Toast", | |
| "Organize Table", | |
| "Pack Objects Into Box", | |
| "Play Stacking Toy", | |
| "Press By Number", | |
| "Put Bottles Into Dustbin", | |
| "Stack Blocks", | |
| "Store Laptop And Headphones", | |
| "Swap Blocks", | |
| "Sweep Blocks" | |
| ], | |
| "display_task_names_zh": [ | |
| "排列数字组成最大数", | |
| "装填笔筒", | |
| "折叠衣物", | |
| "悬挂马克杯", | |
| "插入管子", | |
| "制作吐司", | |
| "整理桌面", | |
| "将物品装入盒中", | |
| "操作堆叠玩具", | |
| "依照数字按按钮", | |
| "将瓶子放入垃圾桶", | |
| "堆叠积木", | |
| "收纳笔记本电脑与耳机", | |
| "交换积木位置", | |
| "清扫积木" | |
| ], | |
| "role": "training", | |
| "size_bytes": 499637016, | |
| "size_scope": "entire subset directory, including annotations, documentation and integrity files", | |
| "subtasks": { | |
| "definitions": "training-data/simulation/one-shot/annotations/subtasks.json", | |
| "task_count": 15, | |
| "definition_count": 58, | |
| "temporal_annotations_available": true, | |
| "revision": "3f21eb1beeedaf1b1d5aaacda4a033174521d8c3", | |
| "segments": "training-data/simulation/one-shot/annotations/subtask_segments.parquet", | |
| "frame_labels": "training-data/simulation/one-shot/annotations/frame_labels.parquet", | |
| "segment_count": 58, | |
| "frame_count": 8080, | |
| "join_keys": [ | |
| "episode_index", | |
| "frame_index" | |
| ], | |
| "interval_convention": "[start_frame,end_frame)", | |
| "annotation_status": "user_confirmed_release", | |
| "boundary_mask": "boundary_uncertain" | |
| }, | |
| "task_keys": [ | |
| "arrange_largest_number", | |
| "fill_pen_holder", | |
| "fold_clothes", | |
| "hang_mugs", | |
| "insert_tubes", | |
| "make_toast", | |
| "organize_table", | |
| "pack_objects_into_box", | |
| "play_stacking_toy", | |
| "press_by_number", | |
| "put_bottles_into_dustbin", | |
| "stack_blocks", | |
| "store_laptop_and_headphones", | |
| "swap_blocks", | |
| "sweep_blocks" | |
| ], | |
| "conversion": "training-data/simulation/one-shot/meta/conversion.json" | |
| }, | |
| { | |
| "subset_id": "real-world-full-shot-data", | |
| "domain": "real-world", | |
| "shot_regime": "full-shot", | |
| "name_en": "Real-World Full-Shot Training Data", | |
| "name_zh": "真机 Full-Shot 训练集", | |
| "availability": "available", | |
| "path_in_repo": "training-data/real-world/full-shot", | |
| "format": "LeRobot v3.0", | |
| "robot_type": "G2A", | |
| "tasks": 20, | |
| "episodes": 2000, | |
| "episodes_per_task": 100, | |
| "frames": 1534321, | |
| "fps": 30, | |
| "camera_streams_per_episode": 3, | |
| "state_dimensions": 290, | |
| "action_dimensions": 52, | |
| "splits": { | |
| "train": "0:2000" | |
| }, | |
| "action_representations": [ | |
| "joint-targets", | |
| "end-effector-target-poses" | |
| ], | |
| "end_effector_target_source": "forward kinematics from joint actions", | |
| "videos": 6000, | |
| "platform": "AgiBot Genie02", | |
| "display_task_names": [ | |
| "Transfer Blocks Using Plate", | |
| "Enter Keypad Number Sequence", | |
| "Set the Table", | |
| "Arrange Seasoning Jars", | |
| "Load Plastic Plates Into Rack", | |
| "Press Button Five Times", | |
| "Place Pot On Induction Cooker", | |
| "Organize Desktop Workstation", | |
| "Organize Books And Pen", | |
| "Arrange Family Tea Set", | |
| "Operate Drawers In Sequence", | |
| "Sort Blocks in Order", | |
| "Fill And Place Pen Holder", | |
| "Organize Cosmetics Storage Box", | |
| "Strike Drum Five Times", | |
| "Apply Dish Soap Repeatedly", | |
| "Season Meat Skewers Repeatedly", | |
| "Pack Items For Shipping", | |
| "Arrange Flowers and Reed Diffuser", | |
| "Prepare Breakfast" | |
| ], | |
| "display_task_names_zh": [ | |
| "用盘子转移积木", | |
| "输入键盘数字序列", | |
| "摆放餐具", | |
| "摆放调料罐", | |
| "将塑料盘装入盘架", | |
| "按按钮五次", | |
| "将小锅放上电磁炉", | |
| "整理桌面工作区", | |
| "整理书本和笔", | |
| "摆放家庭茶具", | |
| "按顺序打开与关闭抽屉", | |
| "按顺序摆放彩色积木", | |
| "装填并摆放笔筒", | |
| "整理化妆品收纳盒", | |
| "敲鼓五次", | |
| "反复按压洗洁精瓶", | |
| "反复给肉串撒料", | |
| "打包待寄送物品", | |
| "插花与摆放藤条香薰", | |
| "准备早餐" | |
| ], | |
| "size_bytes": 23125731832, | |
| "duration_seconds": 51144.03333333333, | |
| "role": "training", | |
| "size_scope": "entire subset directory, including annotations, documentation and integrity files", | |
| "subtasks": { | |
| "definitions": "training-data/real-world/full-shot/annotations/subtasks.json", | |
| "task_count": 20, | |
| "definition_count": 97, | |
| "temporal_annotations_available": false, | |
| "revision": "3f21eb1beeedaf1b1d5aaacda4a033174521d8c3" | |
| }, | |
| "conversion": "training-data/real-world/full-shot/meta/conversion.json" | |
| }, | |
| { | |
| "subset_id": "real-world-one-shot-data", | |
| "domain": "real-world", | |
| "shot_regime": "one-shot", | |
| "availability": "available", | |
| "tasks": 20, | |
| "episodes_per_task": 1, | |
| "episodes": 20, | |
| "path_in_repo": "training-data/real-world/one-shot", | |
| "name_en": "Real-World One-Shot Training Data", | |
| "name_zh": "真机 One-Shot 训练集", | |
| "format": "LeRobot v3.0", | |
| "robot_type": "G2A", | |
| "frames": 16362, | |
| "fps": 30, | |
| "camera_streams_per_episode": 3, | |
| "state_dimensions": 290, | |
| "action_dimensions": 52, | |
| "splits": { | |
| "train": "0:20" | |
| }, | |
| "video_codecs": [ | |
| "hevc" | |
| ], | |
| "videos": 60, | |
| "platform": "AgiBot Genie02", | |
| "size_bytes": 215659523, | |
| "duration_seconds": 545.4, | |
| "display_task_names": [ | |
| "Transfer Blocks Using Plate", | |
| "Enter Keypad Number Sequence", | |
| "Set the Table", | |
| "Arrange Seasoning Jars", | |
| "Load Plastic Plates Into Rack", | |
| "Press Button Five Times", | |
| "Place Pot On Induction Cooker", | |
| "Organize Desktop Workstation", | |
| "Organize Books And Pen", | |
| "Arrange Family Tea Set", | |
| "Operate Drawers In Sequence", | |
| "Sort Blocks in Order", | |
| "Fill And Place Pen Holder", | |
| "Organize Cosmetics Storage Box", | |
| "Strike Drum Five Times", | |
| "Apply Dish Soap Repeatedly", | |
| "Season Meat Skewers Repeatedly", | |
| "Pack Items For Shipping", | |
| "Arrange Flowers and Reed Diffuser", | |
| "Prepare Breakfast" | |
| ], | |
| "display_task_names_zh": [ | |
| "用盘子转移积木", | |
| "输入键盘数字序列", | |
| "摆放餐具", | |
| "摆放调料罐", | |
| "将塑料盘装入盘架", | |
| "按按钮五次", | |
| "将小锅放上电磁炉", | |
| "整理桌面工作区", | |
| "整理书本和笔", | |
| "摆放家庭茶具", | |
| "按顺序打开与关闭抽屉", | |
| "按顺序摆放彩色积木", | |
| "装填并摆放笔筒", | |
| "整理化妆品收纳盒", | |
| "敲鼓五次", | |
| "反复按压洗洁精瓶", | |
| "反复给肉串撒料", | |
| "打包待寄送物品", | |
| "插花与摆放藤条香薰", | |
| "准备早餐" | |
| ], | |
| "role": "training", | |
| "size_scope": "entire subset directory, including annotations, documentation and integrity files", | |
| "subtasks": { | |
| "definitions": "training-data/real-world/one-shot/annotations/subtasks.json", | |
| "task_count": 20, | |
| "definition_count": 97, | |
| "temporal_annotations_available": false, | |
| "revision": "3f21eb1beeedaf1b1d5aaacda4a033174521d8c3" | |
| }, | |
| "conversion": "training-data/real-world/one-shot/meta/conversion.json" | |
| }, | |
| { | |
| "subset_id": "real-world-test-30", | |
| "domain": "real-world", | |
| "role": "evaluation", | |
| "semantic_split": "test", | |
| "availability": "available", | |
| "name_en": "Small-Scale Real-World Public Diagnostic Test Set", | |
| "name_zh": "小规模真机公开诊断测试集", | |
| "path_in_repo": "evaluation/real-world/test-30", | |
| "format": "LeRobot v3.0", | |
| "tasks": 4, | |
| "episodes": 30, | |
| "frames": 27498, | |
| "fps": 30, | |
| "camera_streams_per_episode": 3, | |
| "videos": 90, | |
| "size_bytes": 382100550, | |
| "duration_seconds": 916.6, | |
| "splits": { | |
| "train": "0:30" | |
| }, | |
| "native_split_note": "train is the LeRobot container split; the collection is intended for evaluation.", | |
| "evaluation_scope": "small-scale real-world In-Domain diagnostic subset with partial solution coverage", | |
| "model_inputs": [ | |
| "images", | |
| "instruction" | |
| ], | |
| "annotations": "evaluation/real-world/test-30/annotations", | |
| "documentation": { | |
| "en": "evaluation/real-world/test-30/README.md", | |
| "zh": "evaluation/real-world/test-30/README_zh.md" | |
| }, | |
| "hf_config": "real-world-test-30", | |
| "hf_split": "test", | |
| "episode_catalog": "evaluation/real-world/test-30/episode_catalog.parquet", | |
| "checksums": "evaluation/real-world/test-30/checksums.sha256", | |
| "metric_keys": [ | |
| "tga_easy", | |
| "tga_hard", | |
| "voc", | |
| "cycle_voc", | |
| "vs", | |
| "sa", | |
| "sia", | |
| "csvc", | |
| "trr", | |
| "fpl", | |
| "voc_mem" | |
| ], | |
| "display_task_names": [ | |
| "Organize Desktop Workstation", | |
| "Arrange Flowers and Reed Diffuser", | |
| "Strike Drum Five Times", | |
| "Press Button Five Times" | |
| ], | |
| "display_task_names_zh": [ | |
| "整理书桌工作区", | |
| "插花与摆放藤条香薰", | |
| "敲鼓五次", | |
| "按按钮五次" | |
| ], | |
| "index_scope": "task_index and episode_index are local to this subset and independent of training subset indices.", | |
| "task_episode_counts": [ | |
| { | |
| "task_index": 0, | |
| "episodes": 12 | |
| }, | |
| { | |
| "task_index": 1, | |
| "episodes": 12 | |
| }, | |
| { | |
| "task_index": 2, | |
| "episodes": 3 | |
| }, | |
| { | |
| "task_index": 3, | |
| "episodes": 3 | |
| } | |
| ], | |
| "primary_camera": "observation.images.top_head", | |
| "primary_video_column": "video_primary", | |
| "data_revision": "578593ef28ee7a2d861ebf38162c928291b0d4a9", | |
| "size_scope": "entire subset directory, including annotations, documentation and integrity files", | |
| "subtasks": { | |
| "definitions": "evaluation/real-world/test-30/annotations/subtasks.json", | |
| "task_count": 4, | |
| "definition_count": 21, | |
| "temporal_annotations_available": true, | |
| "revision": "3f21eb1beeedaf1b1d5aaacda4a033174521d8c3", | |
| "segments": "evaluation/real-world/test-30/annotations/subtask_segments.parquet", | |
| "segment_count": 153, | |
| "join_keys": [ | |
| "episode_index", | |
| "task_index" | |
| ], | |
| "interval_convention": "[start_frame,end_frame_exclusive)" | |
| } | |
| }, | |
| { | |
| "subset_id": "simulation-test-30", | |
| "domain": "simulation", | |
| "role": "evaluation", | |
| "semantic_split": "test", | |
| "availability": "available", | |
| "name_en": "Small-Scale Simulation Public Diagnostic Test Set", | |
| "name_zh": "小规模仿真公开诊断测试集", | |
| "path_in_repo": "evaluation/simulation/test-30", | |
| "format": "LeRobot v3.0", | |
| "tasks": 4, | |
| "episodes": 30, | |
| "frames": 17149, | |
| "fps": 25, | |
| "camera_streams_per_episode": 3, | |
| "videos": 90, | |
| "duration_seconds": 685.96, | |
| "splits": { | |
| "train": "0:30" | |
| }, | |
| "native_split_note": "train is the LeRobot container split; the collection is intended for evaluation.", | |
| "evaluation_scope": "small-scale simulation In-Domain diagnostic subset with partial solution coverage", | |
| "model_inputs": [ | |
| "images", | |
| "instruction" | |
| ], | |
| "annotations": "evaluation/simulation/test-30/annotations", | |
| "documentation": { | |
| "en": "evaluation/simulation/test-30/README.md", | |
| "zh": "evaluation/simulation/test-30/README_zh.md" | |
| }, | |
| "hf_config": "simulation-test-30", | |
| "hf_split": "test", | |
| "episode_catalog": "evaluation/simulation/test-30/episode_catalog.parquet", | |
| "checksums": "evaluation/simulation/test-30/checksums.sha256", | |
| "metric_keys": [ | |
| "tga_easy", | |
| "tga_hard", | |
| "voc", | |
| "cycle_voc", | |
| "vs", | |
| "sa", | |
| "sia", | |
| "csvc", | |
| "trr", | |
| "voc_mem" | |
| ], | |
| "display_task_names": [ | |
| "Fill Pen Holder", | |
| "Hang Mugs", | |
| "Press By Number", | |
| "Swap Blocks" | |
| ], | |
| "display_task_names_zh": [ | |
| "装填笔筒", | |
| "悬挂马克杯", | |
| "依照数字按按钮", | |
| "交换积木" | |
| ], | |
| "index_scope": "task_index and episode_index are local to this subset and independent of training and real-world test subset indices.", | |
| "task_episode_counts": [ | |
| { | |
| "task_index": 0, | |
| "episodes": 12 | |
| }, | |
| { | |
| "task_index": 1, | |
| "episodes": 12 | |
| }, | |
| { | |
| "task_index": 2, | |
| "episodes": 3 | |
| }, | |
| { | |
| "task_index": 3, | |
| "episodes": 3 | |
| } | |
| ], | |
| "primary_camera": "observation.images.front", | |
| "primary_video_column": "video_primary", | |
| "annotation_evidence_note": "ED/MS terminal labels and semantic alignment are user-attested; TRR/MEM terminal-label evidence remains pending independent verification.", | |
| "size_bytes": 594599072, | |
| "data_revision": "578593ef28ee7a2d861ebf38162c928291b0d4a9", | |
| "size_scope": "entire subset directory, including annotations, documentation and integrity files", | |
| "subtasks": { | |
| "definitions": "evaluation/simulation/test-30/annotations/subtasks.json", | |
| "task_count": 4, | |
| "definition_count": 19, | |
| "temporal_annotations_available": true, | |
| "revision": "3f21eb1beeedaf1b1d5aaacda4a033174521d8c3", | |
| "segments": "evaluation/simulation/test-30/annotations/subtask_segments.parquet", | |
| "segment_count": 54, | |
| "join_keys": [ | |
| "episode_index", | |
| "task_index" | |
| ], | |
| "interval_convention": "[start_frame,end_frame_exclusive)" | |
| } | |
| } | |
| ], | |
| "planned_subsets": [], | |
| "data_revision": "main", | |
| "publication_authorization": "All data were authorized before public release.", | |
| "pretty_name": "RoboValue Training and Small-Scale Evaluation Data", | |
| "training_data_revision": "main", | |
| "revision_note": "Training metadata and documentation use main; pin the current repository commit for reproducibility. Evaluation payloads retain evaluation_data_revision.", | |
| "evaluation_data_revision": "578593ef28ee7a2d861ebf38162c928291b0d4a9", | |
| "training_path_revision": "main", | |
| "metric_documentation": { | |
| "english": "README.md#metric-summary", | |
| "chinese": "README_zh.md#metric-summary", | |
| "score_direction": { | |
| "default": "higher_is_better", | |
| "FPL": "lower_is_better" | |
| }, | |
| "reference_section": "4.3", | |
| "reference_pages": [ | |
| 9, | |
| 10, | |
| 11, | |
| 12 | |
| ], | |
| "metric_aliases": { | |
| "Memory-VOC": { | |
| "dataset_label": "VOC-MEM", | |
| "membership_key": "voc_mem" | |
| } | |
| } | |
| }, | |
| "subtask_documentation": { | |
| "en": "SUBTASKS.md", | |
| "zh": "SUBTASKS_zh.md", | |
| "training_tasks": 35, | |
| "distinct_definitions": 155, | |
| "revision": "3f21eb1beeedaf1b1d5aaacda4a033174521d8c3" | |
| } | |
| } | |