The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: TypeError
Message: Value.__init__() missing 1 required positional argument: 'dtype'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
config_names = get_dataset_config_names(
path=dataset,
token=hf_token,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
path,
...<4 lines>...
**download_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1182, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1157, in dataset_module_factory
).get_module()
~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 692, in get_module
config_name: DatasetInfo.from_dict(dataset_info_dict)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 284, in from_dict
return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
File "<string>", line 20, in __init__
File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 170, in __post_init__
self.features = Features.from_dict(self.features)
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2023, in from_dict
obj = generate_from_dict(dic)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1602, in generate_from_dict
return {key: generate_from_dict(value) for key, value in obj.items()}
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1621, in generate_from_dict
return class_type(**{k: v for k, v in obj.items() if k in field_names})
TypeError: Value.__init__() missing 1 required positional argument: 'dtype'Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Mirror of GemingOne/droid-atomic-actions from ModelScope. All credit to the original authors. Not an official release from them. License unchanged (cc-by-4.0).
DROID Atomic Actions — 原子动作标注(动词+名词,588,151 段)
对 DROID(r2d2_faceblur 源)的全量细粒度原子动作标注:把 94,030 条机器人操作轨迹
按夹爪开合事件 + 末端执行器减速边界切分为 588,151 个原子段,每段标注一个
动词 + 名词 标签(封闭 27 词表),如 pick cup、open drawer、approach knob。
标注体系参照 Qwen-RobotManip(arXiv 2606.17846)的原子动作 taxonomy 并做了两项扩展: 移动类拆成 approach/pick/move/place 四相;引入邻段上下文帧消歧 approach 的宾语。
目录结构
annotations/
labels.jsonl # 588,151 条标注(每段一条)
segments.jsonl # 段定义:时间区间、切分信号、上下文元数据
meta/
tasks.jsonl # task_index -> 任务语言描述(31,306 条)
source/ # (可选镜像)LeRobot v2.1 格式源数据集
vla-lerobot-v2.1-94030-fps10/{meta,data,videos}
对应关系(labels ↔ 源数据)
seg_id 形如 droid/ep{E:06d}#s{K:02d},其中 E = LeRobot episode_index:
| 要找 | 位置 |
|---|---|
| 低维数据(state/action) | source/.../data/chunk-{E//1000:03d}/episode_{E:06d}.parquet |
| 三路相机视频 | source/.../videos/chunk-{E//1000:03d}/{video_key}/episode_{E:06d}.mp4 |
| 段的帧范围 | segments.jsonl 的 [step_start, step_end)(10fps;parquet 第 i 行 ≙ 视频第 i 帧,严格 1:1) |
| 任务语言 | segments.jsonl 的 task_index → meta/tasks.jsonl |
三个 video_key:observation.images.observation.images.{exterior_image_1_left, exterior_image_2_left, wrist_image_left}(320×180 @10fps)。
labels.jsonl 字段
{"seg_id": "droid/ep000004#s01",
"label": {"verb": "pick", "object": "block", "verb_type": "pick", "confidence": "high"},
"model": "gpt-5.6-luna", "prompt_version": "2e05fa7e", "ts": 1784460000,
"usage": {"in": 5489, "out": 156, "cached": 3840}}
verb == verb_type,取值严格限于下方 27 词表;object为单个小写英文名词。confidence:high 79.9% / medium 19.9% / low 0.2%。
segments.jsonl 字段
seg_id, episode_id, seg_index, n_segments, step_start, step_end, n_steps_ep, gripper_state(open|closed), end_event(close|open|null), phase(travel|terminal|null), instruction, task_index, frame_steps, frames。
- 切分规则:夹爪从开到合 = 一次抓取相位结束;从合到开 = 一次放置相位结束; 在每个夹爪相位内再用 EEF 速度的"行进/减速"边界拆出 travel/terminal 子段 (对应 approach|pick 与 move|place)。
frames里的路径是构建机的本地产物,公开数据中请忽略;采样规则为段内 0/33/67/100% 四个时刻(frame_steps给出确切帧号),可据此从源视频重建。
27 类封闭动词表
移动四相:approach pick move place;操作类:flip rotate toggle open close push pull insert press click strike;人手/装配扩展:attach detach pour wipe stir fold unfold braid unbraid;特殊:handover retract none。
分布(top):pick 136,804 / approach 125,674 / place 116,135 / move 105,415 / retract 75,037 / open 5,991 / close 4,329 / push 3,766 / insert 3,066 / rotate 2,230 …
标注方法
- 标注模型:gpt-5.6-luna(多模态),每段输入段内 4 时刻 × 3 视角帧 + 前段末时刻、 后段首末时刻的上下文帧(共 ≤18 帧)+ 夹爪/速度机械提示。
- 关键约束:
approach X仅当后续上下文中手爪真正接触 X 才成立;宾语必须是被交互 物体,禁止旁观物体;无交互段标 retract/none。 - 输出经封闭词表校验 + 失败自动修复重试;全部 588,151 段零失败。
许可与致谢
- 标注(annotations/):CC-BY-4.0。
- 源数据:DROID(CC-BY-4.0),引用 Khazatsky et al., DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset, 2024。本仓库中的 source/ 为其 r2d2_faceblur 变体的 LeRobot v2.1 格式导出(坐标映射至 droid_single_arm_left, 重采样 10fps)。
- 动词体系参照:Qwen-RobotManip Technical Report, arXiv 2606.17846。
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