Datasets:

p-doom
/

idm-eval-set

Error code:   StreamingRowsError
Exception:    ValueError
Message:      Expected object or value
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 236, in _generate_tables
                  pa_table = paj.read_json(
                             ^^^^^^^^^^^^^^
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column(/actions/[]/[]) changed from number to array in row 0
              
              During handling of the above exception, another exception occurred:
              
              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 250, in _generate_tables
                  batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 90, in json_encode_fields_in_json_lines
                  examples = [ujson_loads(line) for line in original_batch.splitlines()]
                              ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value

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IDM Eval Set

A validation set for evaluating Inverse Dynamics Models on macOS screen recordings. Each sample is a 5-second clip of real desktop usage (browser, IDE, terminal) paired with a ground-truth action log captured at the OS level.

The task: given a short screen recording, predict the sequence of user input actions (keypresses, mouse clicks, scrolls) that produced the observed screen changes.

Dataset Structure

clips_recording_{uuid}_seg{N}/
  clip_000_{tag}.mp4      # 5s screen recording (1728x1080)
  clip_000_{tag}.json      # ground truth action log
editing-work/
  input_{uuid}_seg{N}.msgpack    # raw input event streams
  recording_{uuid}_seg{N}.mp4    # full source recordings

Stats


Clips	51
Recordings	11
Total raw actions	10,914
Resolution	1728 x 1080
Clip duration	5 seconds

Tag distribution:

Tag	Count
scroll/drag	18
keystroke-heavy	17
mixed	4
click-heavy	4
hotkeys	2
hard-case	1

Action Log Format

Each clip JSON contains:

{
  "start_s": 206.913,
  "end_s": 211.913,
  "tag": "keystroke-heavy",
  "actions": [
    [206933331, ["KeyPress", [32, "Space"]]],
    [207233331, ["KeyRelease", [32, "Space"]]],
    [208633331, ["MousePress", ["Left", 0, 0]]],
    [209533331, ["MouseScroll", [0, -1, 0, 0]]]
  ]
}

Timestamps are absolute microseconds (subtract start_s * 1e6 for clip-relative)
Action types: KeyPress, KeyRelease, MousePress, MouseRelease, MouseMove, MouseScroll, ContextChanged
KeyPress params: [keycode, key_name]
MousePress params: [button, x, y] (coordinates not captured in this version)
MouseScroll params: [dx, dy, x, y]

Annotations

annotations.json contains manual visibility labels for each primary action (KeyPress, MousePress, MouseScroll) in each clip. Keys are clip paths, values map action indices to one of three labels:

Label	Count	Meaning
`visible`	510	Effect is directly visible in the frames
`inferable`	266	Effect can be inferred but isn't directly visible
`not_predictable`	34	Cannot be predicted from video alone

{
  "clips_recording_.../clip_003_keystroke-heavy": {
    "0": "visible",
    "1": "inferable",
    "2": "not_predictable"
  }
}

Use these to filter ground truth when scoring — e.g. exclude not_predictable actions from recall calculations.

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Behavior cloning from screencasts

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