The dataset viewer is not available for this subset.
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 80, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
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 68, 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.
Host–Pathogen test data
Two real THP-1/RNF213 microscopy fields with four acquired intensity channels,
existing automatic cell/nucleus/vacuole masks, and measurements generated by
spaCR Measure. These are acquired images, not synthetic images. In spaCR,
open Host–Pathogen → Load test data…, then choose Live at the bottom
or Run. The CLI equivalent is spacr-download host_pathogen.
The archive is 113,551,360 bytes (114 MB). SHA-256:
b4f196c41096494d40776dcec98554cdcabda201082e06d095e29940e7d73e33.
Provenance
Derived from the public spaCR Recruitment dataset
at revision 0861a3ab27e19b2793e656d0f9ac1677d5088a2d, under its MIT license.
The source archive SHA-256 is
a9508b0f6ea208498f1ae909eb679881bcb6c67db1f1ec9de027be4f64611862.
The THP-1 RNF213 screen was acquired on 2025-02-18 using CellVoyager, 40× water.
Fields PLATE1_E01_1_1 and PLATE1_E02_1_1 represent one field each from the
screen's negative and positive control columns. This small teaching sample
is not sufficient for biological conclusions about those conditions.
All four acquired intensity planes are preserved exactly. Existing automatic
masks receive spaCR Measure's normal parent/child reconciliation: objects that
cross host boundaries are reconciled using its 90% overlap rule, cells lacking
a nucleus or cytoplasm are excluded, and companion masks outside retained
cells are cleared. The distributed mask planes contain those prepared masks,
so displayed outlines and measured objects agree. These are not manually
validated masks. Per-field source and prepared hashes and changed-pixel counts
are in example_manifest.json; the preparation code is
tools/build_host_pathogen_example_dataset.py.
Contents and channel layout
Each merged array is 1998 × 1998 × 7, uint16. Planes 0–3 are Hoechst, RNF213, Toxoplasma and CellMask; planes 4–6 are host-cell, nucleus and vacuole masks. The plane manifest makes Live choose the mask overlays automatically. Choose Image channel 2 to inspect parasites, 1 for RNF213, or 3 for the host-cell stain.
The fresh measurements database contains only the two included image fields: 164 hosts, 189 nuclei, 97 vacuoles and 164 cytoplasm objects. All 614 objects' labels, areas and four channel means were checked against the distributed pixels. The supplied settings compare vacuole mean RNF213 intensity with the associated host's cytoplasm mean in channel 1. Cytoplasm excludes nuclei and vacuoles. No marker threshold is assumed: ratios are shown, but positive and negative states remain unknown until an appropriate threshold is supplied.
Whole-vacuole masks do not count individual parasites. Replication stays
not_measured; no replication labels or counts have been fabricated.
example_cells.csv, example_vacuoles.csv and example_wells.csv contain the
expected Host–Pathogen results. Settings paths are portable and replaced with
the actual download location by spaCR. The new cache folder is host_pathogen;
older synthetic test fixtures are not reused as this dataset.
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