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vesuvius-ink-corpus

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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.

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Vesuvius ink-label corpus — every official ink label, one download

Lossless repack (tar + zstd) of all ink-label-relevant data released by the Vesuvius Challenge / EduceLab, assembled 2026-07-28 so a training box can bootstrap with one fast download instead of thousands of small requests.

Shard Contents
hf_ink.tar.zst All 33 labelled segments (8 objects) from hf://buckets/scrollprize/datasets/ink/ + labelled unused/ entries: *_inklabels, *_supervision_mask, *_validation_mask TIFFs (incl. _v2), meta.json, x/y/z.tif tifxyz geometry, registered photographs. NOT included: pre-rendered surface volumes (fetch upstream if needed).
fragments_Frag{1..4}.tar.zst Legacy fragment photon-truth packages (dl.ash2txt.org): inklabels.png, ir.png, mask.png, 65-slice uint16 surface volume, result.obj geometry.
multispectral.tar.zst 17-band (420–1050 nm) MegaVision stacks + PSC for PHerc0009B / 0343P / 0500P2.
pherc0172.tar.zst All 53 PHerc. 172 S3 segments: production TimeSformer ink-prediction TIFs (weak labels) + tifxyz meshes.

manifest.json carries per-shard sha256, file counts and byte sizes.

Provenance / licensing. All content is a byte-identical repack of official public releases: the scrollprize/datasets HF bucket, s3://vesuvius-challenge-open-data, and dl.ash2txt.org (EduceLab-Scrolls). Upstream license: CC BY-NC 4.0; EduceLab-Scrolls data additionally requires citation of Parsons et al. 2023 (arXiv:2304.02084). New-scan data: cite the Vesuvius Challenge CT release (arXiv:2606.29085). This repo adds nothing and claims nothing; all credit to the Vesuvius Challenge team and EduceLab.

Rebuild-from-source script (provenance): phase0/download_ink_corpus.py in the assembling project; every file's upstream URL is derivable from its path.
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