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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 6 new columns ({'source_size', 'archive', 'link_target', 'sha256', 'size', 'type'}) and 2 missing columns ({'mode', 'mtime_ns'}).
This happened while the json dataset builder was generating data using
gzip://members.jsonl::hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/members.jsonl.gz, ['hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/directory_structure.json', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/members.jsonl.gz', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/packages.json', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/policy.json', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/source_inventory.json.gz', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/verification.json'], ['hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/directory_structure.json', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/members.jsonl.gz', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/packages.json', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/policy.json', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/source_inventory.json.gz', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/verification.json']
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 784, 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 795, 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
archive: string
path: string
type: string
size: int64
source_size: int64
sha256: string
link_target: string
to
{'path': Value('string'), 'mode': Value('int64'), 'mtime_ns': Value('int64')}
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 6 new columns ({'source_size', 'archive', 'link_target', 'sha256', 'size', 'type'}) and 2 missing columns ({'mode', 'mtime_ns'}).
This happened while the json dataset builder was generating data using
gzip://members.jsonl::hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/members.jsonl.gz, ['hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/directory_structure.json', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/members.jsonl.gz', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/packages.json', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/policy.json', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/source_inventory.json.gz', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/verification.json'], ['hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/directory_structure.json', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/members.jsonl.gz', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/packages.json', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/policy.json', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/source_inventory.json.gz', 'hf://datasets/bunion-trace-such/ant@1280c903e3b38ba0197f467ca36a7b38c7f24d78/_backup_metadata/verification.json']
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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
path string | mode int64 | mtime_ns int64 |
|---|---|---|
. | 16,877 | 1,769,522,624,539,031,000 |
first_batch | 16,877 | 1,769,522,326,147,753,000 |
first_batch/.cache | 16,877 | 1,769,520,879,623,426,000 |
first_batch/.cache/huggingface | 16,877 | 1,769,520,879,772,430,000 |
first_batch/.cache/huggingface/download | 16,877 | 1,769,520,910,874,721,000 |
first_batch/.cache/huggingface/download/parts | 16,877 | 1,769,520,935,645,045,000 |
first_batch/parts | 16,877 | 1,769,520,935,630,147,000 |
mnt | 16,877 | 1,769,522,070,223,498,000 |
mnt/5T_nas | 16,877 | 1,769,521,978,381,835,000 |
mnt/5T_nas/bwd | 16,877 | 1,769,472,437,000,000,000 |
mnt/5T_nas/bwd/Motion-Agent | 16,877 | 1,762,679,301,000,000,000 |
mnt/5T_nas/bwd/Motion-Agent/experiments | 16,877 | 1,762,680,898,000,000,000 |
mnt/5T_nas/bwd/Motion-Agent/experiments/full_t2m_1103 | 16,877 | 1,769,471,951,000,000,000 |
mnt/5T_nas/bwd/Motion-Agent/experiments/full_t2m_1103/example | 16,877 | 1,762,679,353,000,000,000 |
mnt/5T_nas/bwd/Motion-Agent/experiments/full_t2m_1103_2 | 16,877 | 1,769,471,957,000,000,000 |
mnt/5T_nas/bwd/Motion-Agent/experiments/full_t2m_1103_2/example | 16,877 | 1,762,679,335,000,000,000 |
mnt/5T_nas/bwd/Motion-Agent/experiments/motionfix_test_1109 | 16,877 | 1,762,681,172,000,000,000 |
mnt/5T_nas/bwd/ckpt | 16,877 | 1,762,128,242,000,000,000 |
mnt/5T_nas/bwd/motionfix_test | 16,877 | 1,762,129,390,000,000,000 |
mnt/5T_nas/bwd/motionfix_train | 16,877 | 1,762,003,732,000,000,000 |
mnt/5T_nas/bwd/motionfix_val | 16,877 | 1,761,974,645,000,000,000 |
mnt/prev_nas | 16,877 | 1,769,522,183,074,155,000 |
mnt/prev_nas/refine_draw | 16,877 | 1,769,522,183,076,688,000 |
mnt/prev_nas/refine_draw/code | 16,877 | 1,757,236,367,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o | 16,877 | 1,748,962,220,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git | 16,877 | 1,748,938,864,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/hooks | 16,877 | 1,748,938,842,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/info | 16,877 | 1,748,938,842,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/logs | 16,877 | 1,748,938,852,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/logs/refs | 16,877 | 1,748,938,852,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/logs/refs/heads | 16,877 | 1,748,938,852,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/logs/refs/remotes | 16,877 | 1,748,938,852,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/logs/refs/remotes/origin | 16,877 | 1,748,938,852,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/objects | 16,877 | 1,748,938,843,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/objects/info | 16,877 | 1,748,938,843,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/objects/pack | 16,877 | 1,748,938,852,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/refs | 16,877 | 1,748,938,852,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/refs/heads | 16,877 | 1,748,938,852,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/refs/remotes | 16,877 | 1,748,938,852,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/refs/remotes/origin | 16,877 | 1,748,938,852,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/.git/refs/tags | 16,877 | 1,748,938,842,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o | 16,877 | 1,748,938,853,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o.egg-info | 16,877 | 1,748,944,731,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/__pycache__ | 16,877 | 1,748,946,818,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model | 16,877 | 1,748,962,531,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model/__pycache__ | 16,877 | 1,748,962,563,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model/language_model | 16,877 | 1,748,938,853,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model/language_model/__pycache__ | 16,877 | 1,748,946,818,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model/multimodal_encoder | 16,877 | 1,748,938,853,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model/multimodal_encoder/__pycache__ | 16,877 | 1,748,945,024,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model/multimodal_encoder/dev_eva_clip | 16,877 | 1,748,938,853,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model/multimodal_encoder/dev_eva_clip/__pycache__ | 16,877 | 1,748,946,818,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model/multimodal_encoder/dev_eva_clip/eva_clip | 16,877 | 1,748,938,853,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__ | 16,877 | 1,748,946,818,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model/multimodal_encoder/eva_clip | 16,877 | 1,748,938,853,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model/multimodal_encoder/eva_clip/__pycache__ | 16,877 | 1,748,946,818,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model/multimodal_encoder/eva_clip/model_configs | 16,877 | 1,748,938,853,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model/multimodal_projector | 16,877 | 1,748,938,853,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/model/multimodal_projector/__pycache__ | 16,877 | 1,748,946,818,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/train | 16,877 | 1,748,938,853,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/blip3o/train/__pycache__ | 16,877 | 1,748,946,818,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/deepspeed_scripts | 16,877 | 1,748,938,853,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval | 16,877 | 1,748,938,864,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/geneval | 16,877 | 1,748,938,853,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval | 16,877 | 1,748,938,863,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval | 16,877 | 1,748,938,863,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval.egg-info | 16,877 | 1,748,938,853,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/__pycache__ | 16,877 | 1,748,938,853,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/api | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/api/__pycache__ | 16,877 | 1,748,938,853,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/caching | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/caching/__pycache__ | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/filters | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/filters/__pycache__ | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/loggers | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/loggers/__pycache__ | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/models | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/models/__pycache__ | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/models/model_utils | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/models/model_utils/__pycache__ | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/models/model_utils/qwen | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/models/mplug_owl_video | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/models/video_chatgpt | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/models/video_chatgpt/eval | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/models/video_chatgpt/model | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks | 16,877 | 1,748,938,863,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks/VisualPuzzles | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks/__pycache__ | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks/_task_utils | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks/_task_utils/__pycache__ | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks/activitynetqa | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks/ai2d | 16,877 | 1,748,938,854,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks/air_bench | 16,877 | 1,748,938,855,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks/alpaca_audio | 16,877 | 1,748,938,855,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks/arc | 16,877 | 1,748,938,855,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks/av_odyssey | 16,877 | 1,748,938,855,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks/capability | 16,877 | 1,748,938,855,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks/charades_sta | 16,877 | 1,748,938,855,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks/chartqa | 16,877 | 1,748,938,855,000,000,000 |
mnt/prev_nas/refine_draw/code/BLIP3o/eval/lmms-eval/lmms_eval/tasks/cinepile | 16,877 | 1,748,938,855,000,000,000 |
End of preview.
ant
备份保留原一级目录，结构与 bunion-trace-such/virginia-backup 一致。每个目录中的 README.md 展示原子目录结构，source.tar.gz 保存该目录全部内容。
- first_batch：全部保留。
- second_batch：全部保留。
- mnt：全部保留。
- 备份元数据：完整文件清单、符号链接目标、目录元数据及校验结果。
SHA256SUMS：三个归档的 SHA256 校验清单。
保留全部 33,319 个普通文件、3,928 个目录（包括原根目录元数据）和 4 个符号链接，文件内容共 100,661,375,157 字节。隐藏文件和空目录均保留，符号链接保持原目标。原本已经存在的分卷原样放在对应归档内。
下载完整仓库后，在仓库根目录用 Bash 执行：
sha256sum -c SHA256SUMS
mkdir -p /path/to/ant
find . -mindepth 2 -maxdepth 2 -name source.tar.gz -print0 |
while IFS= read -r -d "" archive; do
tar -xpf "$archive" -C /path/to/ant
done
所有归档包解压到同一个 ant/，即可恢复 first_batch/、second_batch/、mnt/ 层级。原根目录自身的元数据单独记录于 _backup_metadata/source_inventory.json.gz。
每个原文件在重打包时核对 SHA256，新归档又被完整解压读取并逐成员核对内容、类型、符号链接、权限和修改时间；原始目录保持不变。
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