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Datasets:
hugstan1
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vibeworlding-split07-100-full-trajectories

Modalities:
3D
Languages:
Chinese
Size:
n<1K
Tags:
3d
blender
agent-trajectories
static-scenes
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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
credential_pattern_hits: list<item: null>
  child 0, item: null
passed: bool
note: string
archive: string
unique_tasks: int64
archive_objects_verified: bool
archive_bytes: int64
engineering_passed: int64
retry_passed: int64
source_hashes_match_all_recorded_versions: bool
archive_sha256: string
modality_counts: struct<text_to_3d: int64, image_to_3d: int64>
  child 0, text_to_3d: int64
  child 1, image_to_3d: int64
initial_passed: int64
quality_review: string
logical_bytes: int64
unique_bytes: int64
remaining_incomplete: int64
materialized_symlinks: int64
format: string
run_attempts: int64
full_restore_performed: bool
restored_files_sha256_verified: int64
unique_objects: int64
files: int64
to
{'archive': Value('string'), 'archive_bytes': Value('int64'), 'archive_sha256': Value('string'), 'format': Value('string'), 'files': Value('int64'), 'logical_bytes': Value('int64'), 'unique_objects': Value('int64'), 'unique_bytes': Value('int64'), 'archive_objects_verified': Value('bool'), 'full_restore_performed': Value('bool'), 'restored_files_sha256_verified': Value('int64'), 'unique_tasks': Value('int64'), 'run_attempts': Value('int64'), 'engineering_passed': Value('int64'), 'initial_passed': Value('int64'), 'retry_passed': Value('int64'), 'remaining_incomplete': Value('int64'), 'modality_counts': {'text_to_3d': Value('int64'), 'image_to_3d': Value('int64')}, 'source_hashes_match_all_recorded_versions': Value('bool'), 'materialized_symlinks': Value('int64'), 'quality_review': 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
              credential_pattern_hits: list<item: null>
                child 0, item: null
              passed: bool
              note: string
              archive: string
              unique_tasks: int64
              archive_objects_verified: bool
              archive_bytes: int64
              engineering_passed: int64
              retry_passed: int64
              source_hashes_match_all_recorded_versions: bool
              archive_sha256: string
              modality_counts: struct<text_to_3d: int64, image_to_3d: int64>
                child 0, text_to_3d: int64
                child 1, image_to_3d: int64
              initial_passed: int64
              quality_review: string
              logical_bytes: int64
              unique_bytes: int64
              remaining_incomplete: int64
              materialized_symlinks: int64
              format: string
              run_attempts: int64
              full_restore_performed: bool
              restored_files_sha256_verified: int64
              unique_objects: int64
              files: int64
              to
              {'archive': Value('string'), 'archive_bytes': Value('int64'), 'archive_sha256': Value('string'), 'format': Value('string'), 'files': Value('int64'), 'logical_bytes': Value('int64'), 'unique_objects': Value('int64'), 'unique_bytes': Value('int64'), 'archive_objects_verified': Value('bool'), 'full_restore_performed': Value('bool'), 'restored_files_sha256_verified': Value('int64'), 'unique_tasks': Value('int64'), 'run_attempts': Value('int64'), 'engineering_passed': Value('int64'), 'initial_passed': Value('int64'), 'retry_passed': Value('int64'), 'remaining_incomplete': Value('int64'), 'modality_counts': {'text_to_3d': Value('int64'), 'image_to_3d': Value('int64')}, 'source_hashes_match_all_recorded_versions': Value('bool'), 'materialized_symlinks': Value('int64'), 'quality_review': Value('string')}
              because column names don't match

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Astra3D / VibeWorlding · Split 07 · 100 场景完整采集轨迹

这是 2026-09-25 至 2026-09-26 采集、2026-09-26 整理的 split_07 100 道 Blender 静态场景完整归档。按 pilot25 交付模板 整理，保留全部初采与重跑记录、最终结果和实际采集器源码。

下载完整归档（15.87 GB）

  • 100 条独立题目：89 条文生 3D，11 条图生 3D。
  • 106 次运行：100 次初采（95 次通过）、5 次集中补采（4 次通过）和 Q0320 再次重采（通过）；全部 6 次不完整尝试完整保留。
  • 100/100 通过工程验收：采集完整性、浏览器与结构往返检查通过，剩余不完整清单为空。场景质量尚未评分。
  • 保留原始 query、卡片、输入清单、参考图、样例资产、会话、各轮提示词、原生事件、工具命令、执行代码、stdout/stderr、最终回答。
  • 保留每命令快照、渲染前状态、渲染图与相机记录、模型看图记录、失败与返工、重复导出和所有交付版本。
  • 最终产物包括 Blender 工程、GLB、Three.js JSON、viewer、浏览器截图及往返验收。
  • collector_source/ 附带采集器源码、依赖清单和测试；源码 SHA-256 全部匹配本批运行记录。见 source_provenance.json。

恢复与查看

这是无损内容去重归档，相同字节只存储一次。必须通过恢复脚本重建目录；不能直接解压 objects 后打开 viewer。

下载 ZIP、restore.py 和 evidence_io.py 到同一目录，使用 Python 3.9+：

python3 restore.py restore split07_100_full_trajectories_20260926.zip restored
cd restored/split07_100_full_trajectories
python3 -m http.server 8000 --bind 127.0.0.1

打开 http://127.0.0.1:8000/index.html 查看 100 条成功结果统一索引。该索引自动选择重跑成功版本，并提供 viewer、Blender、GLB 和元数据入口。sample_index.json 同时保留全部 106 次尝试的相对路径与状态。

split07_100_full_trajectories/
  index.html
  sample_index.json
  source_provenance.json
  symlink_materialization.json
  collector_source/
  inputs/split_07/                    原始 query、参考图和 GLB 资产
  split07_campaign_20260925_234511/
    batch_01/                          第一批 25 条
    batch_02/                          第二批 25 条
    batch_03/                          第三批 25 条
    batch_04/                          第四批 25 条
    retry_01/                          5 条集中补采
    retry_Q0320_20260926_110104/         Q0320 第三次尝试，通过
    campaign_status.json               集中补采结束时的历史状态
    incomplete_originals.json
    incomplete_after_retry.json        集中补采时 Q0320 未通过的历史记录

每条运行的最终文件在 workspace/outputs/；中间命令、快照、渲染和历史交付在各自运行目录内。原有每批 review/index.html 亦保留。

只检查归档完整性：

python3 restore.py verify split07_100_full_trajectories_20260926.zip

完整性与来源

  • ZIP 字节数：15867598827。
  • SHA-256：d4cac10a4fb85d7d9251f4e9557cc78061db811e7ee0c5e2eb6e7b725f828793。
  • 恢复文件数：29,339；逻辑大小：48,197,323,168 字节（48.20 GB）。
  • 已实际执行完整恢复，并逐文件重新计算 SHA-256 与大小，全部匹配归档清单。
  • 本批没有软链接需要物化，原始文件内容不改写。历史状态文件保留当时结果；最终 100/100 结果以 sample_index.json 为准，包含 Q0320 第三次成功尝试。
  • 历史日志中的本机绝对路径保留为来源记录；查看交付请使用恢复目录中的相对路径。
  • 验证报告：archive_verification.json；恢复说明：README_RESTORE.md。

该数据集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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