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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
camera_source: struct<kind: string, sha256: string, value_path: string>
inputs: struct<image_path: string, prompt_path: string, prompt_sha256: string>
note: string
provenance: struct<source: string>
sampling: struct<cfg_scale: double, note: string, num_frames_effective: int64, num_frames_requested: int64, num_frames_snapped: int64, refiner_mode: string, seed: int64, snapping_note: string, step: int64>
system: struct<conda_env_name: string, conda_lock_path: string, cuda_driver: string, gpu_model: string, node: string, run_id: string, sana_git_sha: string, slurm_job_id: string>
timing: struct<cold_cache: bool, measurement_method: string, stage1_s: double, stage2_s: null>
vram: struct<peak_gb: double>
vs
width: int64
height: int64
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 764, in write_table
self.write_rows_on_file() # in case there are buffered rows to write first
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 662, in write_rows_on_file
table = pa.concat_tables(self.current_rows)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 6319, in pyarrow.lib.concat_tables
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: Schema at index 1 was different:
camera_source: struct<kind: string, sha256: string, value_path: string>
inputs: struct<image_path: string, prompt_path: string, prompt_sha256: string>
note: string
provenance: struct<source: string>
sampling: struct<cfg_scale: double, note: string, num_frames_effective: int64, num_frames_requested: int64, num_frames_snapped: int64, refiner_mode: string, seed: int64, snapping_note: string, step: int64>
system: struct<conda_env_name: string, conda_lock_path: string, cuda_driver: string, gpu_model: string, node: string, run_id: string, sana_git_sha: string, slurm_job_id: string>
timing: struct<cold_cache: bool, measurement_method: string, stage1_s: double, stage2_s: null>
vram: struct<peak_gb: double>
vs
width: int64
height: int64
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1821, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 662, in write_rows_on_file
table = pa.concat_tables(self.current_rows)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 6319, in pyarrow.lib.concat_tables
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: Schema at index 1 was different:
camera_source: struct<kind: string, sha256: string, value_path: string>
inputs: struct<image_path: string, prompt_path: string, prompt_sha256: string>
note: string
provenance: struct<source: string>
sampling: struct<cfg_scale: double, note: string, num_frames_effective: int64, num_frames_requested: int64, num_frames_snapped: int64, refiner_mode: string, seed: int64, snapping_note: string, step: int64>
system: struct<conda_env_name: string, conda_lock_path: string, cuda_driver: string, gpu_model: string, node: string, run_id: string, sana_git_sha: string, slurm_job_id: string>
timing: struct<cold_cache: bool, measurement_method: string, stage1_s: double, stage2_s: null>
vram: struct<peak_gb: double>
vs
width: int64
height: int64
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 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, 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.
scene string | action string | refiner_mode string |
|---|---|---|
demo_0 | w-80,jw-40,w-40,lw-60,w-100 | ltx2 |
demo_1 | w-80,aw-40,w-80,dw-40,w-120 | ltx2 |
demo_2 | i-30,w-100,jw-90,w-100 | ltx2 |
demo_0 | kw-40,w-100,jw-40,w-160 | ltx2 |
demo_1 | w-160,k-20,w-160 | none |
demo_2 | s-80,jw-40,w-200 | none |
demo_0 | w-100,none-40,w-180 | none |
demo_1 | aw-60,w-120,dw-60,w-140 | none |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
demo_0 | null | ltx2 |
demo_1 | null | ltx2 |
demo_2 | null | ltx2 |
demo_0 | null | ltx2 |
demo_1 | null | none |
demo_2 | null | none |
demo_0 | null | none |
demo_1 | null | none |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | none |
null | null | null |
null | null | null |
null | null | null |
null | null | null |
null | null | ltx2 |
null | null | null |
null | null | null |
null | null | ltx2 |
null | null | null |
null | null | null |
null | null | ltx2 |
null | null | null |
null | null | null |
null | null | ltx2 |
null | null | null |
null | null | null |
null | null | none |
null | null | null |
null | null | null |
null | null | none |
null | null | null |
null | null | null |
null | null | none |
null | null | null |
null | null | null |
null | null | none |
null | null | null |
null | null | null |
null | null | ltx2 |
null | null | null |
null | null | null |
null | null | ltx2 |
null | null | null |
null | null | null |
null | null | ltx2 |
null | null | null |
null | null | null |
null | null | ltx2 |
null | null | null |
null | null | null |
null | null | none |
null | null | null |
null | null | null |
null | null | none |
null | null | null |
null | null | null |
null | null | none |
null | null | null |
null | null | null |
null | null | none |
null | null | null |
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