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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'finger_mask_sha256' with no child field to Parquet. Consider adding a dummy child field.
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 771, in _write_table
self._build_writer(inferred_schema=pa_table.schema)
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 812, in _build_writer
self.pa_writer = pq.ParquetWriter(
~~~~~~~~~~~~~~~~^
self.stream,
^^^^^^^^^^^^
...<9 lines>...
},
^^
)
^
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 1082, in __init__
self.writer = _parquet.ParquetWriter(
~~~~~~~~~~~~~~~~~~~~~~^
sink, schema,
^^^^^^^^^^^^^
...<20 lines>...
max_rows_per_page=max_rows_per_page,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
**options)
^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2374, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'finger_mask_sha256' with no child field to Parquet. Consider adding a dummy child field.
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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
format_version int64 | repo_id string | backbone string | wrist_backbone string | metric bool | grid list | stride int64 | percentile_static float64 | percentile_wrist float64 | occ_thresh_m float64 | cams list | plane dict | stats dict | warnings list | episodes dict | provenance dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4 | takeru01/task2_1_rgb | recorded | recorded | false | [
8,
14
] | 2 | 95 | 5 | 0.003 | [
{
"key": "observation.images.camera_front",
"role": "static",
"side": null
},
{
"key": "observation.images.camera_top",
"role": "static",
"side": null
},
{
"key": "observation.images.camera_left_wrist",
"role": "wrist",
"side": "left"
},
{
"key": "observation.imag... | {
"observation.images.camera_front": {
"normal": [
0.028012579306960106,
0.03147679194808006,
-0.9991118311882019
],
"offset": 1.2639026640793551,
"inlier_frac": 0.489125,
"n_frames": 80,
"n_rejected": 0,
"thresh_m": 0.004,
"frame_resid_median_mm": 3.554821014404297
... | {
"n_frames": 171635,
"mean": [
[
0.008024294713823932,
0.09232572052033852,
0.0320827218568461,
0.331756900605263
],
[
0.056285378794869445,
0.20081166053376892,
0.06118038314017723,
0.3210676609839947
],
[
0.0018999024037432842,
0.004... | [
"observation.images.camera_top の深度スケールがフレーム間で std 126 mm 揺れています。ゲージ正規化で吸収していますが、ROI に腕が入りすぎている可能性があります。",
"静止側が metric でないのに --z-true が無い/使えないため、深度は相対スケールのままです。PE の波長（物理単位）が意味を失います。",
"observation.images.camera_front の平面インライア率が 49% しかありません。--roi が板から外れているか、ROI に腕/治具が入っています。",
"observation.images.camera_top の平... | {
"0": {
"n": 922,
"file": "ep_000000.npy",
"bytes": 3304448
},
"1": {
"n": 678,
"file": "ep_000001.npy",
"bytes": 2429952
},
"2": {
"n": 878,
"file": "ep_000002.npy",
"bytes": 3146752
},
"3": {
"n": 928,
"file": "ep_000003.npy",
"bytes": 3325952
},
"4":... | {
"backbone": "da3",
"wrist_backbone": "da3",
"depth_source": "recorded",
"git_commit": "unknown",
"grid": [
8,
14
],
"stride": 2,
"plane_screen": "mad",
"gauge": "roi-median",
"intrinsics_file": "/home/suzuki/t115/cable_depth/calib/realsense_intrinsics_424x240.json",
"intrinsics_sha256": ... |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
depth_cache/task2_1_rs_leaky
cable_depth のセル格子キャッシュ。学習時に --depth-cache へ渡す。
対応するデータセット
takeru01/task2_1_rgb
このキャッシュは (episode_index, frame_index) で引くので、同じエピソード構成・同じ長さのデータセットにしか使えない。
構成
backbone recorded
wrist_backbone recorded
metric False
grid [8, 14] (gh, gw)
stride 2
episodes 194 範囲 (0, 193)
frames 171635
カメラと役割
camera_front static
camera_top static
camera_left_wrist wrist
camera_right_wrist wrist
role=none のカメラは格子が全ゼロで、注入対象から外れる。
チャネル定義
0 CH_VALUE static: 盤面相対高さ[m] の 95%tile / wrist: 指先相対 Δ[m] の 5%tile
1 CH_OCC セル内で「盤面から浮いている / 指先近傍にある」画素の割合
2 CH_SPREAD セル内の奥行き幅 q95-q05[m]
3 CH_VALID 有効画素率 (0-1)。0 は欠測であって「盤面上(d=0)」ではない
precompute が出した警告
- observation.images.camera_top の深度スケールがフレーム間で std 126 mm 揺れています。ゲージ正規化で吸収していますが、ROI に腕が入りすぎている可能性があります。
- 静止側が metric でないのに --z-true が無い/使えないため、深度は相対スケールのままです。PE の波長（物理単位）が意味を失います。
- observation.images.camera_front の平面インライア率が 49% しかありません。--roi が板から外れているか、ROI に腕/治具が入っています。
- observation.images.camera_top の平面インライア率が 9% しかありません。--roi が板から外れているか、ROI に腕/治具が入っています。
- observation.images.camera_right_wrist の有効画素率が平均 26% しかありません。ほぼ欠測で、学習側は「不明」埋め込みばかり見ることになります。
来歴
intrinsics_sha256 fece1ac6bb2b109a
spec_sha256 None
gauge roi-median
scale {'scale': 1.0, 'method': 'undetermined', 'z_true_cam': None}
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