Datasets:

thordata
/

first-person-driving-video-v1

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
file_name: string
video_id: string
duration_sec: double
fps: double
width: int64
height: int64
source_width: int64
source_height: int64
viewpoint: string
scene: string
primary_labels: string
source_product: string
rights_status: string
annotation_status: string
notes: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2057
to
{'file_name': Value('string'), 'segment_id': Value('string'), 'start_sec': Value('float64'), 'end_sec': Value('float64'), 'scene_label_en': Value('string'), 'scene_label_zh': Value('string'), 'description': Value('string'), 'confidence': Value('string'), 'review_status': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._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
              file_name: string
              video_id: string
              duration_sec: double
              fps: double
              width: int64
              height: int64
              source_width: int64
              source_height: int64
              viewpoint: string
              scene: string
              primary_labels: string
              source_product: string
              rights_status: string
              annotation_status: string
              notes: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2057
              to
              {'file_name': Value('string'), 'segment_id': Value('string'), 'start_sec': Value('float64'), 'end_sec': Value('float64'), 'scene_label_en': Value('string'), 'scene_label_zh': Value('string'), 'description': Value('string'), 'confidence': Value('string'), 'review_status': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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file_name string	segment_id string	start_sec float64	end_sec float64	scene_label_en string	scene_label_zh string	description string	confidence string	review_status string
videos/driving_01.mp4	driving_01_s01	0	33.4	service area/roadside stop	服务区/路边停靠	Driver-seat view shows a roadside service area with buildings, signs, and people near the road.	medium	needs_review
videos/driving_01.mp4	driving_01_s02	33.4	66.7	departure/open mountain road	驶离/开放山路	The vehicle proceeds onto an open road with mountains visible ahead.	medium	needs_review
videos/driving_01.mp4	driving_01_s03	66.7	133.3	valley road	山谷道路	The road continues through a wide mountain valley with roadside barriers and slopes.	medium	needs_review
videos/driving_01.mp4	driving_01_s04	133.3	200	curving mountain road	弯曲山路	The vehicle follows a mountain road alongside a rocky slope and bends.	medium	needs_review
videos/driving_01.mp4	driving_01_s05	200	266.6	road with vehicle ahead	前车道路	A vehicle is visible ahead on the mountain road while the camera car continues forward.	medium	needs_review
videos/driving_01.mp4	driving_01_s06	266.6	300.067	open valley road	开放山谷道路	The final section shows continued driving through an open valley road.	medium	needs_review
videos/driving_01.mp4	null	null	null	null	null	null	null	null

First-Person Perspective Driving Video Preview

This is a single public-preview sample from the Thordata First-Person Perspective Driving Video Collection. The product listing describes the source collection as driver-seat footage at 3840x2160 and approximately 24.6 Mb/s. The downloaded marketplace preview is a lower-resolution preview encode; its actual dimensions and frame rate are recorded in metadata.csv. It shows a roadside service area followed by open mountain roads and vehicles ahead.

videos/driving_01.mp4: one long first-person driving sample
metadata.csv: video-level metadata
annotations/segments.csv: coarse scene segments

Annotation note

The segment labels are a first-pass review from sampled frames. They describe visible scene context and driving events; they are not a lane-level, object-level, or frame-accurate autonomous-driving annotation.

Privacy and rights

Before public release, confirm that the exact preview file may be redistributed and check for faces, license plates, GPS, addresses, or other private information. Blur or remove sensitive content if needed.

Source product: Thordata First-Person Perspective Driving Video Collection (VID-20260728-151612-899).

Downloads last month: 76

Total file size:

58.4 MB

First-Person Perspective Driving Video Preview

Contents

Annotation note

Privacy and rights