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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
id: string
kind: string
frames: list<item: struct<id: string, transforms: list<item: list<item: list<item: double>>>, transl: list<i (... 269 chars omitted)
child 0, item: struct<id: string, transforms: list<item: list<item: list<item: double>>>, transl: list<item: double (... 257 chars omitted)
child 0, id: string
child 1, transforms: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, transl: list<item: double>
child 0, item: double
child 3, views: list<item: struct<c2w: list<item: list<item: double>>, K: list<item: list<item: double>>, width: int (... 129 chars omitted)
child 0, item: struct<c2w: list<item: list<item: double>>, K: list<item: list<item: double>>, width: int64, height: (... 117 chars omitted)
child 0, c2w: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, K: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, width: int64
child 3, height: int64
child 4, azimuth_degrees: double
child 5, elevation_degrees: double
child 6, rgb: string
child 7, mask: string
child 8, head_bbox: list<item: double>
child 0, item: double
child 4, gt_mesh: string
source_frames: list<item: int64>
child 0, item: int64
reference: int64
target_sampling: string
identity_id: string
split: string
identity_verified: bool
review_status: string
to
{'id': Value('string'), 'kind': Value('string'), 'review_status': Value('string'), 'reference': Value('int64'), 'source_frames': List(Value('int64')), 'frames': List({'id': Value('string'), 'transforms': List(List(List(Value('float64')))), 'transl': List(Value('float64')), 'views': List({'c2w': List(List(Value('float64'))), 'K': List(List(Value('float64'))), 'width': Value('int64'), 'height': Value('int64'), 'azimuth_degrees': Value('float64'), 'elevation_degrees': Value('float64'), 'rgb': Value('string'), 'mask': Value('string'), 'head_bbox': List(Value('float64'))}), 'gt_mesh': Value('string')}), 'identity_id': Value('string'), 'split': Value('string'), 'identity_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
id: string
kind: string
frames: list<item: struct<id: string, transforms: list<item: list<item: list<item: double>>>, transl: list<i (... 269 chars omitted)
child 0, item: struct<id: string, transforms: list<item: list<item: list<item: double>>>, transl: list<item: double (... 257 chars omitted)
child 0, id: string
child 1, transforms: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, transl: list<item: double>
child 0, item: double
child 3, views: list<item: struct<c2w: list<item: list<item: double>>, K: list<item: list<item: double>>, width: int (... 129 chars omitted)
child 0, item: struct<c2w: list<item: list<item: double>>, K: list<item: list<item: double>>, width: int64, height: (... 117 chars omitted)
child 0, c2w: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, K: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, width: int64
child 3, height: int64
child 4, azimuth_degrees: double
child 5, elevation_degrees: double
child 6, rgb: string
child 7, mask: string
child 8, head_bbox: list<item: double>
child 0, item: double
child 4, gt_mesh: string
source_frames: list<item: int64>
child 0, item: int64
reference: int64
target_sampling: string
identity_id: string
split: string
identity_verified: bool
review_status: string
to
{'id': Value('string'), 'kind': Value('string'), 'review_status': Value('string'), 'reference': Value('int64'), 'source_frames': List(Value('int64')), 'frames': List({'id': Value('string'), 'transforms': List(List(List(Value('float64')))), 'transl': List(Value('float64')), 'views': List({'c2w': List(List(Value('float64'))), 'K': List(List(Value('float64'))), 'width': Value('int64'), 'height': Value('int64'), 'azimuth_degrees': Value('float64'), 'elevation_degrees': Value('float64'), 'rgb': Value('string'), 'mask': Value('string'), 'head_bbox': List(Value('float64'))}), 'gt_mesh': Value('string')}), 'identity_id': Value('string'), 'split': Value('string'), 'identity_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 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.
id string | kind string | review_status string | reference int64 | source_frames list | frames list | identity_id string | split string | identity_verified bool |
|---|---|---|---|---|---|---|---|---|
CustomHumans/0000_00006_02_00021/frames/f00021 | scan | Pending | 0 | [
0
] | [
{
"id": "source",
"transforms": [
[
[
0.9999999642527441,
0.00006679628867563712,
-0.00026391089402621435,
0.0013744233206051024
],
[
-0.00006678056083973207,
0.9999999743913732,
0.000030723919512555836,
... | CustomHumans/00006 | train | false |
CustomHumans/0001_00006_02_00081/frames/f00081 | scan | Pending | 0 | [
0
] | [
{
"id": "source",
"transforms": [
[
[
1.0000000715837114,
0.000054823776116611733,
-0.00019439112535637706,
0.030897425010956728
],
[
-0.00005481254129101225,
1.00000001585953,
-0.000026048142478191384,
... | CustomHumans/00006 | train | false |
CustomHumans/0002_00006_03_00061/frames/f00061 | scan | Pending | 0 | [
0
] | [
{
"id": "source",
"transforms": [
[
[
0.9999999561293487,
0.00007913921036034017,
-0.00029187719108415166,
-0.02784654767181087
],
[
-0.00007915752098549517,
0.9999999664639787,
-0.00006449054983057402,
... | CustomHumans/00006 | train | false |
CustomHumans/0003_00006_03_00101/frames/f00101 | scan | Pending | 0 | [
0
] | [
{
"id": "source",
"transforms": [
[
[
0.9999998911379958,
0.000025459778161668198,
-0.00018470635465889405,
0.01184827485441124
],
[
-0.000025536315520850265,
0.9999999520515066,
-0.0003070320754957999,
... | CustomHumans/00006 | train | false |
CustomHumans/0004_00007_02_00001/frames/f00001 | scan | Pending | 0 | [
0
] | [
{
"id": "source",
"transforms": [
[
[
0.9999999267637142,
0.00004907170233719055,
0.00020715088233618203,
0.026462693139506145
],
[
-0.00004906136289856397,
0.999999984577881,
-0.0000655148948304568,
... | CustomHumans/00007 | val | false |
CustomHumans/0005_00007_02_00061/frames/f00061 | scan | Pending | 0 | [
0
] | [
{
"id": "source",
"transforms": [
[
[
0.9999999699786427,
0.000031458050972368656,
0.00011638272612957288,
0.17412499410905669
],
[
-0.00003147644227229789,
0.9999999870097284,
0.00021043737324864714,
... | CustomHumans/00007 | val | false |
CustomHumans/0006_00007_03_00021/frames/f00021 | scan | Pending | 0 | [
0
] | [
{
"id": "source",
"transforms": [
[
[
1.0000000640082247,
0.00007870909255699283,
0.00007088783943359478,
0.0021752712425659403
],
[
-0.00007870318550387491,
0.9999999806928653,
-0.00010774744140964913,
... | CustomHumans/00007 | val | false |
CustomHumans/0007_00007_03_00041/frames/f00041 | scan | Pending | 0 | [
0
] | [
{
"id": "source",
"transforms": [
[
[
0.9999999768936709,
0.000058431145626383995,
-0.000004952642626735951,
0.03352586071938477
],
[
-0.00005844199427377599,
0.9999999856403637,
-0.0000015349097047537337,
... | CustomHumans/00007 | val | false |
CustomHumans/0008_00008_08_00021/frames/f00021 | scan | Pending | 0 | [
0
] | [{"id":"source","transforms":[[[1.000000028820245,0.000018799790087298978,-0.00016713571938354,-0.00(...TRUNCATED) | CustomHumans/00008 | train | false |
CustomHumans/0009_00008_08_00041/frames/f00041 | scan | Pending | 0 | [
0
] | [{"id":"source","transforms":[[[1.0000000151726915,0.00006243669362656888,-0.000157326751176103,-0.0(...TRUNCATED) | CustomHumans/00008 | train | false |
End of preview.
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RAMA prepared mesh training data
This release contains the files referenced by training_mesh_five_frozen_single_v2.portable.jsonl. Assets retain
their paths relative to the prepared-data root and are split into tar archives
to keep the Hub repository file count manageable.
Restore the training tree
mkdir -p prepared
find data -name '*.tar' -print0 | while IFS= read -r -d '' shard; do
tar -xf "$shard" -C prepared
done
cp training_mesh_five_frozen_single_v2.portable.jsonl prepared/
Use package_manifest.json to inspect shard sizes and SHA-256 checksums.
Redistribution and use remain subject to the licenses of the contributing
source datasets.
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