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BOLT_data

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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
needle_32: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
  child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
      child 0, question_id: string
      child 1, question: string
      child 2, frames: list<item: double>
          child 0, item: double
needle_38: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
  child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
      child 0, question_id: string
      child 1, question: string
      child 2, frames: list<item: double>
          child 0, item: double
needle_147: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
  child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
      child 0, question_id: string
      child 1, question: string
      child 2, frames: list<item: double>
          child 0, item: double
needle_33: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
  child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
      child 0, question_id: string
      child 1, question: string
      child 2, frames: list<item: double>
          child 0, item: double
needle_119: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
  child 0, item: struct<question_id: string, question: string, frames: list<item: dou
...
string, frames: list<item: double>>
      child 0, question_id: string
      child 1, question: string
      child 2, frames: list<item: double>
          child 0, item: double
HWyDOQrYtCk: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
  child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
      child 0, question_id: string
      child 1, question: string
      child 2, frames: list<item: double>
          child 0, item: double
Lc7RikDaa30: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
  child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
      child 0, question_id: string
      child 1, question: string
      child 2, frames: list<item: double>
          child 0, item: double
vEy6tcU6eLU: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
  child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
      child 0, question_id: string
      child 1, question: string
      child 2, frames: list<item: double>
          child 0, item: double
D7VYbsORD8k: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
  child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
      child 0, question_id: string
      child 1, question: string
      child 2, frames: list<item: double>
          child 0, item: double
to
{'86CxyhFV9MI': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), '9PD3ciudpIE': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), '5qMcDQd17Y4': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), '7F9IrtSHmc0': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'QJ6sjg7SXOQ': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'mH9LdC7IFH8': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'LB1qPExHQY8': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), '8hhcFRoR0mw': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'h4jIoMxZopU': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'M7YSCIkUaNw': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'x1FkhxMMIcg': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'CEZ9rbjK3P4': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'MPQn_orwpfA': List({'question_id': Value('string'), 'question': Value('string'), '
...
': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'soNQYQXrx_A': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'vpKtHB8x0js': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'JhlzvoqKOc8': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'mbcvVYobCXI': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'mFcEWmtn3ag': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'Pm93D8CVlY8': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'brZugTJ0odg': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'kN88RP3XWUU': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'to7vCdkLi4s': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'GGwHSz9towk': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), '_EUDpS9UF9o': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), '7XWqI121-Q4': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))})}
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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              needle_32: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
                child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
                    child 0, question_id: string
                    child 1, question: string
                    child 2, frames: list<item: double>
                        child 0, item: double
              needle_38: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
                child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
                    child 0, question_id: string
                    child 1, question: string
                    child 2, frames: list<item: double>
                        child 0, item: double
              needle_147: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
                child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
                    child 0, question_id: string
                    child 1, question: string
                    child 2, frames: list<item: double>
                        child 0, item: double
              needle_33: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
                child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
                    child 0, question_id: string
                    child 1, question: string
                    child 2, frames: list<item: double>
                        child 0, item: double
              needle_119: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
                child 0, item: struct<question_id: string, question: string, frames: list<item: dou
              ...
              string, frames: list<item: double>>
                    child 0, question_id: string
                    child 1, question: string
                    child 2, frames: list<item: double>
                        child 0, item: double
              HWyDOQrYtCk: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
                child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
                    child 0, question_id: string
                    child 1, question: string
                    child 2, frames: list<item: double>
                        child 0, item: double
              Lc7RikDaa30: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
                child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
                    child 0, question_id: string
                    child 1, question: string
                    child 2, frames: list<item: double>
                        child 0, item: double
              vEy6tcU6eLU: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
                child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
                    child 0, question_id: string
                    child 1, question: string
                    child 2, frames: list<item: double>
                        child 0, item: double
              D7VYbsORD8k: list<item: struct<question_id: string, question: string, frames: list<item: double>>>
                child 0, item: struct<question_id: string, question: string, frames: list<item: double>>
                    child 0, question_id: string
                    child 1, question: string
                    child 2, frames: list<item: double>
                        child 0, item: double
              to
              {'86CxyhFV9MI': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), '9PD3ciudpIE': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), '5qMcDQd17Y4': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), '7F9IrtSHmc0': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'QJ6sjg7SXOQ': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'mH9LdC7IFH8': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'LB1qPExHQY8': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), '8hhcFRoR0mw': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'h4jIoMxZopU': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'M7YSCIkUaNw': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'x1FkhxMMIcg': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'CEZ9rbjK3P4': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'MPQn_orwpfA': List({'question_id': Value('string'), 'question': Value('string'), '
              ...
              ': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'soNQYQXrx_A': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'vpKtHB8x0js': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'JhlzvoqKOc8': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'mbcvVYobCXI': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'mFcEWmtn3ag': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'Pm93D8CVlY8': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'brZugTJ0odg': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'kN88RP3XWUU': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'to7vCdkLi4s': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), 'GGwHSz9towk': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), '_EUDpS9UF9o': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))}), '7XWqI121-Q4': List({'question_id': Value('string'), 'question': Value('string'), 'frames': List(Value('float64'))})}
              because column names don't match

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This repository provides pre-extracted visual features and selected keyframes used in BOLT.

Visual Features

  • Backbone: CLIP ViT-L/14
  • Frame sampling rate: 1 FPS

Code

The code for BOLT is available at: https://github.com/sming256/BOLT
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Total file size:
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Paper for kinxcc/BOLT_data