Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
schema: string
units: string
tag_family: string
tags: list<item: struct<tag_id: int64, instance: int64, size_mm: double, T_world_from_tag: list<item: list (... 17 chars omitted)
child 0, item: struct<tag_id: int64, instance: int64, size_mm: double, T_world_from_tag: list<item: list<item: doub (... 5 chars omitted)
child 0, tag_id: int64
child 1, instance: int64
child 2, size_mm: double
child 3, T_world_from_tag: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
resolution: struct<width: int64, height: int64>
child 0, width: int64
child 1, height: int64
calibration_info: struct<method: string, source: string, median_px: double, p90_px: double, frame_count: int64, assump (... 13 chars omitted)
child 0, method: string
child 1, source: string
child 2, median_px: double
child 3, p90_px: double
child 4, frame_count: int64
child 5, assumption: string
intrinsics: struct<fx: double, fy: double, cx: double, cy: double>
child 0, fx: double
child 1, fy: double
child 2, cx: double
child 3, cy: double
camera_name: string
distortion: struct<model: string, coefficients: struct<k1: double, k2: double, p1: double, p2: double, k3: doubl (... 3 chars omitted)
child 0, model: string
child 1, coefficients: struct<k1: double, k2: double, p1: double, p2: double, k3: double>
child 0, k1: double
child 1, k2: double
child 2, p1: double
child 3, p2: double
child 4, k3: double
to
{'camera_name': Value('string'), 'resolution': {'width': Value('int64'), 'height': Value('int64')}, 'intrinsics': {'fx': Value('float64'), 'fy': Value('float64'), 'cx': Value('float64'), 'cy': Value('float64')}, 'distortion': {'model': Value('string'), 'coefficients': {'k1': Value('float64'), 'k2': Value('float64'), 'p1': Value('float64'), 'p2': Value('float64'), 'k3': Value('float64')}}, 'calibration_info': {'method': Value('string'), 'source': Value('string'), 'median_px': Value('float64'), 'p90_px': Value('float64'), 'frame_count': Value('int64'), 'assumption': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
schema: string
units: string
tag_family: string
tags: list<item: struct<tag_id: int64, instance: int64, size_mm: double, T_world_from_tag: list<item: list (... 17 chars omitted)
child 0, item: struct<tag_id: int64, instance: int64, size_mm: double, T_world_from_tag: list<item: list<item: doub (... 5 chars omitted)
child 0, tag_id: int64
child 1, instance: int64
child 2, size_mm: double
child 3, T_world_from_tag: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
resolution: struct<width: int64, height: int64>
child 0, width: int64
child 1, height: int64
calibration_info: struct<method: string, source: string, median_px: double, p90_px: double, frame_count: int64, assump (... 13 chars omitted)
child 0, method: string
child 1, source: string
child 2, median_px: double
child 3, p90_px: double
child 4, frame_count: int64
child 5, assumption: string
intrinsics: struct<fx: double, fy: double, cx: double, cy: double>
child 0, fx: double
child 1, fy: double
child 2, cx: double
child 3, cy: double
camera_name: string
distortion: struct<model: string, coefficients: struct<k1: double, k2: double, p1: double, p2: double, k3: doubl (... 3 chars omitted)
child 0, model: string
child 1, coefficients: struct<k1: double, k2: double, p1: double, p2: double, k3: double>
child 0, k1: double
child 1, k2: double
child 2, p1: double
child 3, p2: double
child 4, k3: double
to
{'camera_name': Value('string'), 'resolution': {'width': Value('int64'), 'height': Value('int64')}, 'intrinsics': {'fx': Value('float64'), 'fy': Value('float64'), 'cx': Value('float64'), 'cy': Value('float64')}, 'distortion': {'model': Value('string'), 'coefficients': {'k1': Value('float64'), 'k2': Value('float64'), 'p1': Value('float64'), 'p2': Value('float64'), 'k3': Value('float64')}}, 'calibration_info': {'method': Value('string'), 'source': Value('string'), 'median_px': Value('float64'), 'p90_px': Value('float64'), 'frame_count': Value('int64'), 'assumption': Value('string')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
LMCAP
共享输入、物体 / 人体 / 手部重建，以及仿真、渲染和 Cosmos 结果的统一入口。
| 目录 | 内容 |
|---|---|
| shared/inputs | 原始 RGB、传感器记录 |
| shared/results | 三种重建共享的 RGB、深度 / 置信度、mask、内外参与时间轴，优先独立发布 |
| shared/assets | 可复用物体模板；模板与每条序列的放置位姿分开 |
| results/object · human · hand | 各重建管线的独立结果 |
| scenes | 对齐时间和世界系后的联合场景 |
| simulation/inputs | 按固定 schema 交给仿真的物体、手部、桌面与静态目标 |
| simulation/outputs | 仿真返回的 rollout、相机、状态与动作 |
| results/render | 仿真后的独立渲染，作为后续视频生成的输入 |
| results/cosmos | Cosmos 结果及其明确的来源和生成方式 |
从 catalog.json 进入各组件清单，不以目录存在判断完成。共享资源不等待整条物体重建完成；旧大包原位保留，新索引引用固定版本，不重复存储。
- Downloads last month
- 999