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.

seqforge validation benchmark

Byte-light fingerprint packages for seqforge's validation benchmark. Each packages/<accession>.fingerprint.tar.gz is a head-slice of a real public dataset's FASTQs (the first ~2000 reads per file) plus a pin carrying the whole-file identity — enough for seqforge to reproduce the same manifest.yaml, hash and all, without the original FASTQs. This is the growing validation set the compiler is developed against; a true held-out test set is separate.

What's here (and what's not)

  • Reads: head slices only — never a whole FASTQ. Enough to fingerprint the chemistry, far too few to reconstruct the biology.
  • Prose: extracted text only (info/text/). The raw papers and their figures are not redistributed here (copyright); the packages are built with seqforge preflight --redistributable (or repacked with seqforge strip-fingerprint), which is why they are usable for harvest yet carry nothing that may not be shared.

How it is used

seqforge's eval harness pulls a package by accession (anonymous, pooch-cached — no token) and runs the real compiler over the slice, grading the resolved library against a pre-registered expected.yaml committed in the repo. Sample-level facts are graded from the archive's own BioSample/SRA records, also committed in the repo. See evals/benchmark/ in the seqforge repository.

Datasets

All C. elegans (taxid 6239), chosen to span technology × prep × layout × known regressions at moderate sample size:

accession chemistry notes
PRJNA1027859 10x 3' v3/v3.1 single-nucleus neurons (the pilot demo dataset)
GSE274290 BD Rhapsody WTA the only BD-original dataset; germline
GSE234962 10x 3' v3 motor neurons
GSE256266 10x 3' v3/v3.1 glia across sexes; irregular filename layout
PRJNA658829 10x 3' v3 whole-organism; equal-length read layout
PRJNA1195922 10x 3' v3/v3.1 male single-nucleus neurons
GSE126954 10x 3' v2 embryogenesis atlas

The set grows as more datasets are curated.

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