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: Align & Stitch tiles
Nine overlapping 10X tiles of cycle 1 of the in-situ sequencing acquisition (five planes each: DAPI, CY3, A594, CY5, CY7; 1,480 x 1,480 px, uint16): a 3 x 3 block from the middle of well A1, sites 165-167, 186-188 and 207-209. The microscope took them in snake-column order with 213 px (14.4 %) overlap between neighbours. About 197 MB.
Source and licence
A small, unmodified sample of the primary fixed-cell optical pooled screen
of Funk et al. 2022, The phenotypic landscape of essential human genes,
Cell 185(24):4634-4653 (doi:10.1016/j.cell.2022.10.017,
PMID 36347254), deposited in the BioImage Archive as
S-BIAD394:
plate 20200202_6W-LaC024A, well A1. Every image is byte-identical to the
archived file; manifest.csv inside the archive gives each file's size,
SHA-256 and its path under
https://ftp.ebi.ac.uk/biostudies/fire/S-BIAD/394/S-BIAD394/Files/.
The BioImage Archive releases directly submitted data under CC0 or CC-BY-4.0 (policy); S-BIAD394 carries no other licence attribute. This sample is redistributed under CC-BY-4.0 with attribution to the original authors. Cite the paper above if you use it.
Use in spaCR
Align & Stitch's Load test data... button downloads this set into
~/.cache/spacr/example_data/align_stitch/ and fills in the tile folder, a
3 x 3 grid, snake-column order and 0.144 overlap; press Plan, then
Write stack. From the command line:
from spacr.align import align_folder
align_folder({"src": "<folder>/tiles", "dst": "<folder>/stitched",
"grid": (3, 3), "order": "snake-column", "overlap": 0.144})
On spaCR's CPU path all nine tiles register (14 of 20 scored pairs accepted, worst residual about 4 px) into a 4,034 x 4,036 x 5 canvas.
Files
One uncompressed tar, spacr-example-stitch.tar, unpacked with Python's tar data filter by
spaCR. SHA256SUMS holds the archive's checksum.
- Downloads last month
- 50