Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'test' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
data: list<item: struct<uid: string, label: string, modelId: string, children: list<item: null>, objectId: int64, segments: struct<obb: struct<centroid: list<item: double>, axesLengths: list<item: double>, normalizedAxes: list<item: double>>, partId: int64, fixScale: bool, segments: list<item: int64>, fixRotate: bool, obbAligned: struct<centroid: list<item: double>, axesLengths: list<item: double>, normalizedAxes: list<item: double>>, fixPosition: bool, dominantNormal: list<item: double>>, hierarchy: int64, isInGroup: bool, labelType: string, attributes: struct<tags: list<item: string>, attributes: struct<occlusion: string, incompleteness: string, orientation: string>>>>
stats: struct<labelCount: int64, totalSegments: int64, totalVertices: int64, percentComplete: double, annotatedSegments: int64, annotatedVertices: int64, unannotatedSegments: int64, unannotatedVertices: int64>
comment: string
confirm: bool
skipped: bool
attributes: struct<tags: list<item: null>, attributes: struct<>>
mesh_quality: list<item: null>
relabel_reason: string
skipped_reason: string
label_version: string
vs
data: list<item: struct<uid: string, label: string, modelId: string, children: list<item: null>, objectId: int64, segments: struct<obb: struct<centroid: list<item: double>, axesLengths: list<item: double>, normalizedAxes: list<item: double>>, partId: int64, fixScale: bool, segments: list<item: int64>, fixRotate: bool, obbAligned: struct<centroid: list<item: double>, axesLengths: list<item: double>, normalizedAxes: list<item: double>>, fixPosition: bool, dominantNormal: list<item: double>>, hierarchy: int64, isInGroup: bool, labelType: string, attributes: struct<tags: list<item: string>, attributes: struct<occlusion: string, orientation: string, incompleteness: string>>>>
stats: struct<labelCount: int64, totalSegments: int64, totalVertices: int64, percentComplete: double, annotatedSegments: int64, annotatedVertices: int64, unannotatedSegments: int64, unannotatedVertices: int64>
comment: string
confirm: bool
skipped: bool
attributes: struct<tags: list<item: null>, attributes: struct<>>
mesh_quality: list<item: null>
skipped_reason: string
label_version: string
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 531, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
data: list<item: struct<uid: string, label: string, modelId: string, children: list<item: null>, objectId: int64, segments: struct<obb: struct<centroid: list<item: double>, axesLengths: list<item: double>, normalizedAxes: list<item: double>>, partId: int64, fixScale: bool, segments: list<item: int64>, fixRotate: bool, obbAligned: struct<centroid: list<item: double>, axesLengths: list<item: double>, normalizedAxes: list<item: double>>, fixPosition: bool, dominantNormal: list<item: double>>, hierarchy: int64, isInGroup: bool, labelType: string, attributes: struct<tags: list<item: string>, attributes: struct<occlusion: string, incompleteness: string, orientation: string>>>>
stats: struct<labelCount: int64, totalSegments: int64, totalVertices: int64, percentComplete: double, annotatedSegments: int64, annotatedVertices: int64, unannotatedSegments: int64, unannotatedVertices: int64>
comment: string
confirm: bool
skipped: bool
attributes: struct<tags: list<item: null>, attributes: struct<>>
mesh_quality: list<item: null>
relabel_reason: string
skipped_reason: string
label_version: string
vs
data: list<item: struct<uid: string, label: string, modelId: string, children: list<item: null>, objectId: int64, segments: struct<obb: struct<centroid: list<item: double>, axesLengths: list<item: double>, normalizedAxes: list<item: double>>, partId: int64, fixScale: bool, segments: list<item: int64>, fixRotate: bool, obbAligned: struct<centroid: list<item: double>, axesLengths: list<item: double>, normalizedAxes: list<item: double>>, fixPosition: bool, dominantNormal: list<item: double>>, hierarchy: int64, isInGroup: bool, labelType: string, attributes: struct<tags: list<item: string>, attributes: struct<occlusion: string, orientation: string, incompleteness: string>>>>
stats: struct<labelCount: int64, totalSegments: int64, totalVertices: int64, percentComplete: double, annotatedSegments: int64, annotatedVertices: int64, unannotatedSegments: int64, unannotatedVertices: int64>
comment: string
confirm: bool
skipped: bool
attributes: struct<tags: list<item: null>, attributes: struct<>>
mesh_quality: list<item: null>
skipped_reason: string
label_version: stringNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
ARKitScenes 评估数据（mesh / annotation / mov）说明
本目录用于保存 ARKitScenes 原始数据集（raw）中筛选出的三类核心资产，便于快速可视化与理解 3D 场景结构。
- 根目录：
embodied/vedio_layout/eval_data/raw/Training - 组织形式：每个子文件夹为一条数据（一次扫描），文件夹名为
video_id - 每条数据包含三个文件：
video_id_3dod_mesh.ply（三角网格）video_id_3dod_annotation.json（3D 定向包围框标注）video_id.mov（采集原始视频）
三类资产详解
mesh（video_id_3dod_mesh.ply）
- 含义：ARKit 设备端在扫描过程中融合重建得到的彩色三角网格（PLY），表示整场景表面。
- 来源：ARKitScenes raw 数据集的
mesh资产（设备端表面重建输出）。 - 坐标系与单位：
- 坐标系为 ARKit 会话的“世界坐标系”（global），与该次视频的相机轨迹一致。
- 典型属性：
- PLY 文件通常包含
vertex（顶点坐标、可选颜色）与face（三角面）；用于高质量场景可视化。 - 与 annotation 处在同一坐标系，可直接叠加可视化（见下文示例）。
- PLY 文件通常包含
annotation（video_id_3dod_annotation.json）
- 含义：针对家具等房间内主要物体的 3D 定向包围框标注（oriented bounding box, OBB）。
- 来源：ARKitScenes 提供的人工标注（3DOD）。
- 关键字段（每个标注项）：
label：物体类别名称（如chair、table、cabinet等）segments.obb.centroid：包围框中心（x,y,z）segments.obb.axesLengths：三轴尺寸（dx,dy,dz）segments.obb.normalizedAxes：3×3 旋转矩阵（行优先展开）segments.obbAligned.*：对齐到主轴后的表示（便于部分算法使用）- 还包含
dominantNormal、attributes、label_version等辅助信息
- 坐标系：与
mesh相同的 ARKit 世界坐标，可一并加载进行叠加显示。
mov（video_id.mov）
- 含义：ARKit 会话采集的原始视频（
.mov），完整记录扫描过程。 - 来源：ARKitScenes raw 数据集的
mov资产。 - 用途：作为视觉参考或进行时间维度分析；若结合相机内参/位姿，可做图像平面投影或逐帧可视化。
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