Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
format: string
created_utc: timestamp[s]
source_name: string
file_count: int64
logical_bytes: int64
directories: list<item: null>
child 0, item: null
files: list<item: struct<path: string, mode: int64, mtime_ns: int64, sha256: string, bytes: int64>>
child 0, item: struct<path: string, mode: int64, mtime_ns: int64, sha256: string, bytes: int64>
child 0, path: string
child 1, mode: int64
child 2, mtime_ns: int64
child 3, sha256: string
child 4, bytes: int64
preservation: string
unique_objects: int64
archive_file: string
source_and_archive_path_sets_equal: bool
time: timestamp[s]
original_zip_bytes: int64
passed: bool
original_archive_unchanged: bool
restored_file_count: int64
original_archive_sha256: string
every_file_size_and_sha256_matches_original: bool
bytes_saved: int64
deduplicated_zip_bytes: int64
record_counts_including_archived_failed_attempts: struct<model_tool_calls: int64, model_finish_scene_calls: int64, command_snapshot_records: int64, re (... 52 chars omitted)
child 0, model_tool_calls: int64
child 1, model_finish_scene_calls: int64
child 2, command_snapshot_records: int64
child 3, render_records: int64
child 4, error_lifecycle_records: int64
to
{'time': Value('timestamp[s]'), 'passed': Value('bool'), 'original_archive_sha256': Value('string'), 'original_archive_unchanged': Value('bool'), 'source_and_archive_path_sets_equal': Value('bool'), 'restored_file_count': Value('int64'), 'every_file_size_and_sha256_matches_original': Value('bool'), 'logical_bytes': Value('int64'), 'unique_objects': Value('int64'), 'original_zip_bytes': Value('int64'), 'deduplicated_zip_bytes': Value('int64'), 'bytes_saved': Value('int64'), 'record_counts_including_archived_failed_attempts': {'model_tool_calls': Value('int64'), 'model_finish_scene_calls': Value('int64'), 'command_snapshot_records': Value('int64'), 'render_records': Value('int64'), 'error_lifecycle_records': Value('int64')}, 'archive_file': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
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
format: string
created_utc: timestamp[s]
source_name: string
file_count: int64
logical_bytes: int64
directories: list<item: null>
child 0, item: null
files: list<item: struct<path: string, mode: int64, mtime_ns: int64, sha256: string, bytes: int64>>
child 0, item: struct<path: string, mode: int64, mtime_ns: int64, sha256: string, bytes: int64>
child 0, path: string
child 1, mode: int64
child 2, mtime_ns: int64
child 3, sha256: string
child 4, bytes: int64
preservation: string
unique_objects: int64
archive_file: string
source_and_archive_path_sets_equal: bool
time: timestamp[s]
original_zip_bytes: int64
passed: bool
original_archive_unchanged: bool
restored_file_count: int64
original_archive_sha256: string
every_file_size_and_sha256_matches_original: bool
bytes_saved: int64
deduplicated_zip_bytes: int64
record_counts_including_archived_failed_attempts: struct<model_tool_calls: int64, model_finish_scene_calls: int64, command_snapshot_records: int64, re (... 52 chars omitted)
child 0, model_tool_calls: int64
child 1, model_finish_scene_calls: int64
child 2, command_snapshot_records: int64
child 3, render_records: int64
child 4, error_lifecycle_records: int64
to
{'time': Value('timestamp[s]'), 'passed': Value('bool'), 'original_archive_sha256': Value('string'), 'original_archive_unchanged': Value('bool'), 'source_and_archive_path_sets_equal': Value('bool'), 'restored_file_count': Value('int64'), 'every_file_size_and_sha256_matches_original': Value('bool'), 'logical_bytes': Value('int64'), 'unique_objects': Value('int64'), 'original_zip_bytes': Value('int64'), 'deduplicated_zip_bytes': Value('int64'), 'bytes_saved': Value('int64'), 'record_counts_including_archived_failed_attempts': {'model_tool_calls': Value('int64'), 'model_finish_scene_calls': Value('int64'), 'command_snapshot_records': Value('int64'), 'render_records': Value('int64'), 'error_lifecycle_records': Value('int64')}, 'archive_file': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
VibeWorlding · 25 场景完整采集轨迹
这是 2026-09-21 整理的 25 道 Blender 静态场景试采集完整归档,包括最终结果、记录到的 Codex 会话与工具执行过程,以及当时实际运行的 harness / pipeline 源码。
- 原始题目、结构化场景卡片、20 条文生题与 5 条图生题的输入、参考图和样例资产。
- 每题独立会话、各轮提示词、原生事件、工具调用、执行代码、stdout / stderr 与最终回答。
- 每命令快照、渲染前状态、渲染图、相机设置、模型看图及原图/发送图映射。
- 失败、重试、返工、恢复和被替换的失败尝试;保留重复导出,不删减模型迭代。
- 最终 Blender 工程、GLB、Three.js JSON、viewer、浏览器截图与结构往返验收。
- 实际采集器源码快照、运行配置与恢复清单;各轮记录中的源码哈希用于追溯。
工程验收和场景质量评审分开。该批是指定的 25 题试采集,其比例不代表最终 1000 题配额。归档包含这批采集实际使用的多版源码;采集结束后在本地追加的最新存储优化源码没有回写到旧轨迹中。
恢复与查看
这是一份完整的无损去重归档,相同字节只存储一次,恢复后保留全部原始路径和内容。它不是直接解压后双击 viewer 的普通目录包。
下载 ZIP、restore.py 和 evidence_io.py,放在同一目录。使用 Python 3.9 或更新版本:
python3 restore.py restore pilot25_full_trajectories_20260921.zip restored
cd restored/pilot25_parallel_20260921_021918
python3 -m http.server 8000 --bind 127.0.0.1
在浏览器打开 http://127.0.0.1:8000/review/inspection/index.html ,可以对照原生渲染和 GLB。原始采集结果页位于 /review/index.html。
只检查归档完整性:
python3 restore.py verify pilot25_full_trajectories_20260921.zip
完整恢复共 10,743 个文件,逻辑大小 17,540,462,204 字节(约 17.54 GB)。已实际恢复并逐文件核验大小与 SHA-256,全部与原完整包一致。恢复需要新的输出目录;历史日志中的绝对路径作为来源记录保留。
归档标识
- 批次:
pilot25_parallel_20260921_021918 - ZIP 字节数:
4840960802 - SHA-256:
3f9451763cbf534e3724c00316533a98185df1b4e8fb7079724f0819ce17581a - 验证摘要:archive_verification.json
- 恢复说明:README_RESTORE.md
该仓库用于研究协作与过程核验。未在此声明新的再分发许可。
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