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.
spaCR example data: recruitment
Recruitment of a host protein to the Toxoplasma vacuole, for spaCR's Recruitment module. Every cell, nucleus, pathogen and cytoplasm object of twelve control wells of the THP-1 RNF213 screen, as the screen's own Mask and Measure runs segmented and measured them.
Download it from inside spaCR with Load test data... in the
Recruitment module, or with spacr-download recruitment. The
settings file ships beside the data, so after loading, Run is the next step.
Size
spacr-example-recruitment.tar: 146,503,680 bytes (147 MB), an uncompressed tar.
SHA-256 a9508b0f6ea208498f1ae909eb679881bcb6c67db1f1ec9de027be4f64611862.
Provenance
- Screen: THP-1 RNF213 screen, plate 1 (acquired 2025-02-18, CellVoyager, 40x water).
- Plate folder on the lab NAS:
/nas_mnt/data/THP1_screen/THP1RNF213_20250218_153752/plate1. - Wells: rows r3, r4, r5, r6, r7, r8 of columns c1, c2 (twelve wells), every field of each.
nc= column 1,pc= column 2: the screen's negative and positive control columns, as the screen's own recruitment settings (settings/recruitment.csvon the plate) label them.
Contents
table in measurements/measurements.db |
rows |
|---|---|
cell |
2,374 |
nucleus |
2,807 |
pathogen |
3,321 |
cytoplasm |
2,374 |
Every row of the chosen wells is kept, unfiltered; nothing is resampled.
Recorded paths that named the NAS were replaced by merged/<file_name>.npy.
Two merged fields, one per control column, so the objects can be inspected:
merged/PLATE1_E01_1_1.npymerged/PLATE1_E02_1_1.npy
Each is a 7-plane uint16 stack (height x width x 7):
- 0 nucleus stain (the screen's nucleus_channel)
- 1 the screen's measured target (its channel_of_interest)
- 2 parasite stain (the screen's pathogen_channel)
- 3 cell stain (the screen's cell_channel)
- 4 cell mask
- 5 nucleus mask
- 6 pathogen mask
settings/recruitment_settings.csv holds the module settings; its src is
filled in with the download location when spaCR unpacks it.
Notes
The settings are the ones the screen's recruitment analysis was run with (recruitment.csv in the plate's settings/ folder), with three changes: src points at the download, cell_types is THP1, the cells the screen is named for (the recorded value was Hela), and plot_nr is 1 because two fields ship. The recruitment score is the pathogen-to-cytoplasm ratio of mean intensity in channel 1.
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