Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
                  first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
                                                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
                  cls = get_filesystem_class(protocol)
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
                  raise ValueError(f"Protocol not known: {protocol}")
              ValueError: Protocol not known: memory
              
              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/split_names.py", line 71, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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.

滤光片质检项目 · 实验产物备份(公开卷)

RunPod 工作区备份的两个大卷,因私有配额限制存放于此。不含会话记录与凭据(已扫描确认)。


📚 完整文档

文件 内容
docs/INDEX.md 项目总索引:四个仓库怎么选、三个核心结论、数据一览
docs/REPRODUCE.md 完整复现指南:环境、数据准备、逐个实验的命令与预期数字
docs/FILES.md 逐文件使用说明:41 个脚本、结果表字段、51 个训练产物目录
docs/RESULTS.md 全部实验结果:42 个模型完整榜单、分割 vs 分类同口径对决
docs/AUDIT.md 诚实性审计:四道审计的原理与结果,为什么这次的高分是真的
docs/CAVEATS.md 已知问题与边界,上线前必读(含我犯过的评估口径错误)
docs/REPOS.md 四个仓库逐一说明与下载方式

配套私有仓库(含 Claude 会话历史、原始数据):daipath/runpod-workspace-backup 开箱即用推理包:https://huggingface.co/daipath/filter-inspection 数据集:https://huggingface.co/datasets/daipath/filter-inspection-data

内容

大小 内容
02_CV_bench.tar.zst 6.6 G 一代 15 方法横评:m01–m15 全部实现、模型权重、统一评测器 eval.py、批次捷径探针 batch_probe.py、锁箱终验 lockbox/、39 条评测记录
03_CV_seg3.tar.zst 2.7 G 二代分割 + 新数据全部实验:三类分割、11 包新样本的分类/分割/增广消融/捷径审计全部脚本与结果

解包

hf download daipath/filter-inspection-experiments --repo-type dataset --local-dir ./restore
cd ./restore
for f in *.tar.zst; do tar -I zstd -xf "$f" -C /workspace/; done

解出到 /workspace/CV_Task/bench/workspace/CV_Task/seg3

里面有什么值得看的

  • CV_Task/bench/CONTRACT.md — 一代基准的硬性契约(含捷径审计条款)
  • CV_Task/bench/campaign/CAMPAIGN.md — 战役协议、预处理去混淆手册
  • CV_Task/bench/lockbox/ — 锁箱终验(一次性开箱,含防重跑硬闸)
  • CV_Task/seg3/newdata/ — 二代全部实验脚本:
    • cls_train.py / cls_train2.py — 分类训练(多骨干 / 多增广 / 多归一化 / 多损失)
    • cls_probe.py / cls_frozen_probe.py捷径审计(批次指纹探针、冻结特征 kNN vs 线性探针对照)
    • cls_test_all.csv42 个模型在锁箱 test 上的完整成绩
    • build_splits.py — session 整组切分(0 组跨 split)
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