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AlayaNeW
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OpenDriveLab___OpenLane-V2

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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
jpg: binary
__key__: string
__url__: string
json: null
to
{'json': {'annotation': {'lane_centerline': [{'id': Value(dtype='string', id=None), 'is_intersection_or_connector': Value(dtype='bool', id=None), 'points': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None)}], 'topology_lclc': Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None), 'topology_lcte': Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None), 'traffic_element': [{'attribute': Value(dtype='int64', id=None), 'category': Value(dtype='int64', id=None), 'id': Value(dtype='string', id=None), 'points': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None)}]}, 'meta_data': {'source': Value(dtype='string', id=None), 'source_id': Value(dtype='string', id=None)}, 'pose': {'rotation': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'translation': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}, 'segment_id': Value(dtype='string', id=None), 'sensor': {'ring_front_center': {'extrinsic': {'rotation': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'translation': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}, 'image_path': Value(dtype='string', id=None), 'intrinsic': {'K': Sequence(feature=Sequence(featur
...
ture=Value(dtype='float64', id=None), length=-1, id=None)}, 'image_path': Value(dtype='string', id=None), 'intrinsic': {'K': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'distortion': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}}, 'ring_side_left': {'extrinsic': {'rotation': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'translation': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}, 'image_path': Value(dtype='string', id=None), 'intrinsic': {'K': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'distortion': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}}, 'ring_side_right': {'extrinsic': {'rotation': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'translation': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}, 'image_path': Value(dtype='string', id=None), 'intrinsic': {'K': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'distortion': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}}}, 'timestamp': Value(dtype='int64', id=None), 'version': Value(dtype='string', id=None)}, '__key__': Value(dtype='string', id=None), '__url__': Value(dtype='string', id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2285, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1888, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2215, in cast_table_to_features
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              jpg: binary
              __key__: string
              __url__: string
              json: null
              to
              {'json': {'annotation': {'lane_centerline': [{'id': Value(dtype='string', id=None), 'is_intersection_or_connector': Value(dtype='bool', id=None), 'points': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None)}], 'topology_lclc': Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None), 'topology_lcte': Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None), 'traffic_element': [{'attribute': Value(dtype='int64', id=None), 'category': Value(dtype='int64', id=None), 'id': Value(dtype='string', id=None), 'points': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None)}]}, 'meta_data': {'source': Value(dtype='string', id=None), 'source_id': Value(dtype='string', id=None)}, 'pose': {'rotation': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'translation': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}, 'segment_id': Value(dtype='string', id=None), 'sensor': {'ring_front_center': {'extrinsic': {'rotation': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'translation': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}, 'image_path': Value(dtype='string', id=None), 'intrinsic': {'K': Sequence(feature=Sequence(featur
              ...
              ture=Value(dtype='float64', id=None), length=-1, id=None)}, 'image_path': Value(dtype='string', id=None), 'intrinsic': {'K': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'distortion': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}}, 'ring_side_left': {'extrinsic': {'rotation': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'translation': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}, 'image_path': Value(dtype='string', id=None), 'intrinsic': {'K': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'distortion': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}}, 'ring_side_right': {'extrinsic': {'rotation': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'translation': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}, 'image_path': Value(dtype='string', id=None), 'intrinsic': {'K': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'distortion': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}}}, 'timestamp': Value(dtype='int64', id=None), 'version': Value(dtype='string', id=None)}, '__key__': Value(dtype='string', id=None), '__url__': Value(dtype='string', id=None)}
              because column names don't match

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简介

全球首个自动驾驶道路结构感知和推理基准。数据集的首要任务是场景结构感知和推理，这需要模型能够识别周围环境中车道的可行驶状态。 该数据集的任务不仅包括车道中心线和交通要素检测，还包括检测到的对象的拓扑关系识别。

引文

请在引用数据集时，使用以下引文

@inproceedings{wang2023openlanev2,
  title={OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping}, 
  author={Wang, Huijie and Li, Tianyu and Li, Yang and Chen, Li and Sima, Chonghao and Liu, Zhenbo and Wang, Bangjun and Jia, Peijin and Wang, Yuting and Jiang, Shengyin and Wen, Feng and Xu, Hang and Luo, Ping and Yan, Junchi and Zhang, Wei and Li, Hongyang},
  booktitle={NeurIPS},
  year={2023}
}
```‌​‌‌​​​​‌​​​‌‌‌‌‌​​‌‌​‌​‌​​‌​​​‌‌​‌‌‌​‌‌‌​​‌‌‌‌​‌​​​‌​‌‌‌​​‌‌‌‌​‌​‌‌​​‌‌‌​​‌‌‌‌​‌​​‌‌‌​‌
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