Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
counts: struct<screens: int64, nodes: int64, proposals: int64, human_reviewed_screens: int64, level_screen:  (... 202 chars omitted)
  child 0, screens: int64
  child 1, nodes: int64
  child 2, proposals: int64
  child 3, human_reviewed_screens: int64
  child 4, level_screen: int64
  child 5, nodes_with_visible_text: int64
  child 6, level_region: int64
  child 7, level_element: int64
  child 8, candidate_nonroot_nodes: int64
  child 9, disposition_retained: int64
  child 10, disposition_unresolved: int64
  child 11, disposition_rejected: int64
applications: struct<System Settings: int64, Finder: int64, Google Chrome: int64, Desktop: int64, Calendar: int64, (... 269 chars omitted)
  child 0, System Settings: int64
  child 1, Finder: int64
  child 2, Google Chrome: int64
  child 3, Desktop: int64
  child 4, Calendar: int64
  child 5, Activity Monitor: int64
  child 6, Clock: int64
  child 7, Stocks: int64
  child 8, Maps: int64
  child 9, App Store: int64
  child 10, Podcasts: int64
  child 11, Music: int64
  child 12, TV: int64
  child 13, Font Book: int64
  child 14, TextEdit: int64
  child 15, Terminal: int64
  child 16, Code: int64
  child 17, Preview: int64
  child 18, Numbers: int64
  child 19, Pages: int64
  child 20, Keynote: int64
  child 21, Safari: int64
exact_duplicate_groups: list<item: list<item: string>>
  child 0, item: list<item: string>
      child 0, item: string
errors: list<item: null>
  child 0, item: null
status: string
notes: list<item: string>
  child 0, item: string
unique_pixel_images: int64
node: string
parent_supervision_candidate: bool
state_supervision_requires_review: bool
candidate_for_teacher_supervision: bool
screen: string
exact_text_supervision: bool
semantic_correctness_verified: bool
to
{'screen': Value('string'), 'node': Value('string'), 'candidate_for_teacher_supervision': Value('bool'), 'parent_supervision_candidate': Value('bool'), 'exact_text_supervision': Value('bool'), 'state_supervision_requires_review': Value('bool'), 'semantic_correctness_verified': Value('bool')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                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
              counts: struct<screens: int64, nodes: int64, proposals: int64, human_reviewed_screens: int64, level_screen:  (... 202 chars omitted)
                child 0, screens: int64
                child 1, nodes: int64
                child 2, proposals: int64
                child 3, human_reviewed_screens: int64
                child 4, level_screen: int64
                child 5, nodes_with_visible_text: int64
                child 6, level_region: int64
                child 7, level_element: int64
                child 8, candidate_nonroot_nodes: int64
                child 9, disposition_retained: int64
                child 10, disposition_unresolved: int64
                child 11, disposition_rejected: int64
              applications: struct<System Settings: int64, Finder: int64, Google Chrome: int64, Desktop: int64, Calendar: int64, (... 269 chars omitted)
                child 0, System Settings: int64
                child 1, Finder: int64
                child 2, Google Chrome: int64
                child 3, Desktop: int64
                child 4, Calendar: int64
                child 5, Activity Monitor: int64
                child 6, Clock: int64
                child 7, Stocks: int64
                child 8, Maps: int64
                child 9, App Store: int64
                child 10, Podcasts: int64
                child 11, Music: int64
                child 12, TV: int64
                child 13, Font Book: int64
                child 14, TextEdit: int64
                child 15, Terminal: int64
                child 16, Code: int64
                child 17, Preview: int64
                child 18, Numbers: int64
                child 19, Pages: int64
                child 20, Keynote: int64
                child 21, Safari: int64
              exact_duplicate_groups: list<item: list<item: string>>
                child 0, item: list<item: string>
                    child 0, item: string
              errors: list<item: null>
                child 0, item: null
              status: string
              notes: list<item: string>
                child 0, item: string
              unique_pixel_images: int64
              node: string
              parent_supervision_candidate: bool
              state_supervision_requires_review: bool
              candidate_for_teacher_supervision: bool
              screen: string
              exact_text_supervision: bool
              semantic_correctness_verified: bool
              to
              {'screen': Value('string'), 'node': Value('string'), 'candidate_for_teacher_supervision': Value('bool'), 'parent_supervision_candidate': Value('bool'), 'exact_text_supervision': Value('bool'), 'state_supervision_requires_review': Value('bool'), 'semantic_correctness_verified': Value('bool')}
              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 1879, 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

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

screen
string
node
string
candidate_for_teacher_supervision
bool
parent_supervision_candidate
bool
exact_text_supervision
bool
state_supervision_requires_review
bool
semantic_correctness_verified
bool
screen_0001
n_0000
false
false
false
true
false
screen_0001
n_0001
true
true
false
true
false
screen_0001
n_0002
true
true
false
true
false
screen_0001
n_0003
true
true
false
true
false
screen_0001
n_0004
true
true
false
true
false
screen_0001
n_0005
true
true
false
true
false
screen_0001
n_0006
true
true
false
true
false
screen_0001
n_0007
true
true
false
true
false
screen_0001
n_0008
true
true
false
true
false
screen_0001
n_0009
true
true
false
true
false
screen_0001
n_0010
true
true
false
true
false
screen_0001
n_0011
true
true
false
true
false
screen_0001
n_0012
true
true
false
true
false
screen_0001
n_0013
true
true
false
true
false
screen_0001
n_0014
true
true
false
true
false
screen_0001
n_0015
true
true
false
true
false
screen_0001
n_0016
true
true
false
true
false
screen_0001
n_0017
true
true
false
true
false
screen_0001
n_0018
true
true
false
true
false
screen_0001
n_0019
true
true
false
true
false
screen_0001
n_0020
true
true
false
true
false
screen_0001
n_0021
true
true
false
true
false
screen_0001
n_0022
true
true
false
true
false
screen_0001
n_0023
true
true
false
true
false
screen_0001
n_0024
true
true
false
true
false
screen_0001
n_0025
true
true
false
true
false
screen_0001
n_0026
true
true
false
true
false
screen_0001
n_0027
true
true
false
true
false
screen_0001
n_0028
true
true
false
true
false
screen_0001
n_0029
true
true
false
true
false
screen_0001
n_0030
true
true
false
true
false
screen_0001
n_0031
false
false
false
true
false
screen_0001
n_0032
false
false
false
true
false
screen_0001
n_0033
true
true
false
true
false
screen_0001
n_0034
true
true
false
true
false
screen_0001
n_0035
true
true
false
true
false
screen_0001
n_0036
true
true
false
true
false
screen_0001
n_0037
true
true
false
true
false
screen_0001
n_0038
true
true
false
true
false
screen_0001
n_0039
true
true
false
true
false
screen_0001
n_0040
true
true
false
true
false
screen_0001
n_0041
true
true
false
true
false
screen_0001
n_0042
true
true
false
true
false
screen_0001
n_0043
true
true
false
true
false
screen_0001
n_0044
true
true
false
true
false
screen_0001
n_0045
true
true
false
true
false
screen_0001
n_0046
true
true
false
true
false
screen_0001
n_0047
true
true
false
true
false
screen_0001
n_0048
true
true
false
true
false
screen_0001
n_0049
true
true
false
true
false
screen_0001
n_0050
true
true
false
true
false
screen_0001
n_0051
true
true
false
true
false
screen_0001
n_0052
true
true
false
true
false
screen_0001
n_0053
true
true
false
true
false
screen_0001
n_0054
true
true
false
true
false
screen_0001
n_0055
true
true
false
true
false
screen_0001
n_0056
true
true
false
true
false
screen_0001
n_0057
true
true
false
true
false
screen_0001
n_0058
true
true
false
true
false
screen_0002
n_0000
false
false
false
true
false
screen_0002
n_0001
true
true
false
true
false
screen_0002
n_0002
true
true
false
true
false
screen_0002
n_0003
true
true
false
true
false
screen_0002
n_0004
true
true
false
true
false
screen_0002
n_0005
true
true
false
true
false
screen_0002
n_0006
true
true
false
true
false
screen_0002
n_0007
true
true
false
true
false
screen_0002
n_0008
true
true
false
true
false
screen_0002
n_0009
true
true
false
true
false
screen_0002
n_0010
true
true
false
true
false
screen_0002
n_0011
true
true
false
true
false
screen_0002
n_0012
true
true
false
true
false
screen_0002
n_0013
true
true
false
true
false
screen_0002
n_0014
true
true
false
true
false
screen_0002
n_0015
true
true
false
true
false
screen_0002
n_0016
true
true
false
true
false
screen_0002
n_0017
true
true
false
true
false
screen_0002
n_0018
true
true
false
true
false
screen_0002
n_0019
true
true
false
true
false
screen_0002
n_0020
true
true
false
true
false
screen_0002
n_0021
true
true
false
true
false
screen_0002
n_0022
true
true
false
true
false
screen_0002
n_0023
true
true
false
true
false
screen_0002
n_0024
true
true
false
true
false
screen_0002
n_0025
true
true
false
true
false
screen_0002
n_0026
true
true
false
true
false
screen_0002
n_0027
true
true
false
true
false
screen_0002
n_0028
true
true
false
true
false
screen_0002
n_0029
true
true
false
true
false
screen_0002
n_0030
true
true
false
true
false
screen_0002
n_0031
true
true
false
true
false
screen_0002
n_0032
true
true
false
true
false
screen_0002
n_0033
true
true
false
true
false
screen_0002
n_0034
true
true
false
true
false
screen_0002
n_0035
true
true
false
true
false
screen_0002
n_0036
true
true
false
true
false
screen_0002
n_0037
true
true
false
true
false
screen_0002
n_0038
true
true
false
true
false
screen_0002
n_0039
true
true
false
true
false
screen_0002
n_0040
true
true
false
true
false
End of preview.

Screen Understanding Captures Dataset

This dataset contains real-world macOS desktop UI interaction traces, accessibility tree snapshots, bounding box groundings, and contextual multi-step agent runs for training and evaluating Computer Use Agents (CUAs).

Structure

  • captures_1000/: High-resolution UI screenshots annotated with UI bounding boxes and semantic element labels.
  • contextual_lite_runs/: Multi-step sequential desktop runs recorded across productivity apps.
  • pilot_v001/: Pilot validation set for initial schema verification.
  • training_inventory/: Data indexes and splits.

Associated Repositories

Downloads last month
142