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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'0cff78cc37142d7089249f86b9403b8e254bc2632f60ba04c799bf73ffcce76f  edge/paibench/av/A_view_from_inside_a_vehicle_likely_captured_by_a_dashboard_camera_as_it_approaches_an_intersection_in_a__av_002b815b_7595_4d54_a9f4_4c62c83d3009__seed401002.pdf'}) and 2 missing columns ({'# ThunderWorld 优先 demo 包', '__index_level_0__'}).

This happened while the csv dataset builder was generating data using

zip://ThunderWorld_priority_demos/SHA256SUMS.txt::hf://datasets/Concyclics/figures@313074a9a54a1576efde848b713ae642b6c901fb/demo_candidates_priority_3781_20260924.zip, ['hf://datasets/Concyclics/figures@313074a9a54a1576efde848b713ae642b6c901fb/demo_candidates_priority_3781_20260924.zip', 'hf://datasets/Concyclics/figures@313074a9a54a1576efde848b713ae642b6c901fb/priority_all_three_metrics_vs_fp4_and_15.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._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
              0cff78cc37142d7089249f86b9403b8e254bc2632f60ba04c799bf73ffcce76f  edge/paibench/av/A_view_from_insid (... 144 chars omitted): string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 868
              to
              {'# ThunderWorld 优先 demo 包': Value('string'), '__index_level_0__': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              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 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'0cff78cc37142d7089249f86b9403b8e254bc2632f60ba04c799bf73ffcce76f  edge/paibench/av/A_view_from_inside_a_vehicle_likely_captured_by_a_dashboard_camera_as_it_approaches_an_intersection_in_a__av_002b815b_7595_4d54_a9f4_4c62c83d3009__seed401002.pdf'}) and 2 missing columns ({'# ThunderWorld 优先 demo 包', '__index_level_0__'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://ThunderWorld_priority_demos/SHA256SUMS.txt::hf://datasets/Concyclics/figures@313074a9a54a1576efde848b713ae642b6c901fb/demo_candidates_priority_3781_20260924.zip, ['hf://datasets/Concyclics/figures@313074a9a54a1576efde848b713ae642b6c901fb/demo_candidates_priority_3781_20260924.zip', 'hf://datasets/Concyclics/figures@313074a9a54a1576efde848b713ae642b6c901fb/priority_all_three_metrics_vs_fp4_and_15.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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# ThunderWorld 优先 demo 包
string
__index_level_0__
string
781 份 PDF。
本包包含优先清单中的全部 3
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- 清单:priority_all_three_metrics_vs_fp4_and_15.csv(UTF-8 BOM,可用 Excel 打开)。
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- PDF 路径与清单 pdf 列一一对应,保留 模型 / benchmark / 任务类别 的目录结构。
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- 每份 PDF 包含九种方法、第 30/60 帧和原始全视频 LPIPS、PSNR、SSIM。
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- 文件名为任务描述、场景 ID 和种子。
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- SHA256SUMS.txt 记录 PDF 及清单的哈希,供解压后核对。
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筛选规则:两档修复的 LPIPS 均比 FP4 至少降低 20%,2.0× LPIPS 严格低于 1.5×;2.0× 相比 1.5× 的 PSNR/SSIM 不下降,且两档修复相比 FP4 的 PSNR/SSIM 也均不下降。这是用于人工选图的有意筛选子集,不替代全量评测;姿态与空间布局仍需目视挑选。
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ZIP 使用 ZIP64,因总量超过 4 GiB,请使用支持 ZIP64 的解压工具。
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