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Datasets:
zxAi
/
GSModel60

Tasks:
Other
Modalities:
3D
Size:
10K<n<100K
Tags:
point-cloud
point-cloud-classification
3d
License:
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
text: string
split: string
taxonomy_id: int64
category: string
model_id: string
file_path: string
to
{'split': Value('string'), 'taxonomy_id': Value('int64'), 'category': Value('string'), 'model_id': Value('string'), 'file_path': Value('string')}
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
              text: string
              split: string
              taxonomy_id: int64
              category: string
              model_id: string
              file_path: string
              to
              {'split': Value('string'), 'taxonomy_id': Value('int64'), 'category': Value('string'), 'model_id': Value('string'), 'file_path': Value('string')}
              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 dataset

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End of preview.

GSModel60

GSModel60 is the fixed 60-class Gaussian-splat point-cloud classification dataset used by GAPrompt++. It contains 13,847 PLY files and preserves the paper's original train/test split.

Splits

Split Samples
train 7,757
test 6,090
total 13,847

train.json and test.json are part of the dataset definition and must not be regenerated. metadata/*.jsonl contains labels, model IDs, relative paths, source groups, file sizes, and available source hashes.

Composition

  • Classes 0--29: MACGS-derived Gaussian-splat point clouds.
  • Classes 30--59: ModelNet_Splats-derived Gaussian-splat point clouds.

The dataset maintainer confirmed that the complete GSModel60 package may be published and redistributed. The release uses the Hugging Face other license identifier because no standard SPDX license identifier was supplied. See LICENSE_NOTICE.md for the release statement.

Loading

Use this directory as both DATA_PATH and GS_PATH in the GAPrompt++ classification config. The loader reads category.txt, train.json, and test.json directly. Evaluation sampling is deterministic and uses EVAL_SEED + CRC32(model_id).

Integrity

FILES_SHA256SUMS.txt validates every controlled file. Run:

sha256sum -c FILES_SHA256SUMS.txt

The GAPromptPlus repository also provides:

python scripts/verify_dataset_bundle.py /path/to/GSModel60   --dataset gsmodel60 --check-files
python scripts/smoke_test_classification_dataset.py /path/to/GSModel60   --dataset gsmodel60
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