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/hdf5/hdf5.py", line 49, in _split_generators
                  import h5py
              ModuleNotFoundError: No module named 'h5py'
              
              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.

TransMap gene layouts

Canonical gene-to-pixel layouts used by the TransMap single-species and multi-species experiments.

Single-species layouts

The repository contains 65 canonical HDF5 layouts for five datasets:

ds_lung
ds_breast
ds_cite_seq_pbmc
ds_gut_fetal
ds_lung_fetal_donor

Each dataset has a 48 x 48 layout over 2,000 HVGs for four layout families:

one TorchGW layout: layout_torchgw_snn_k7_48x48.h5
one IGTD layout: layout_igtd_linear_abs_seed1_48x48.h5
one DeepInsight layout: layout_deepinsight_tsne_lsa_seed0_48x48.h5
ten random layouts: layout_random_seed{0..9}_48x48.h5

The files preserve the training data directory convention: ds_<dataset>/gene_layout/<layout>.h5.

Multi-species layout

The historical five-species layout used by the genofoundation multi-species training runs is stored under:

multi_species/string_5species/headline_tmax8_seed42/

It contains one HDF5 file for each species:

homo_sapiens
mus_musculus
danio_rerio
drosophila_melanogaster
caenorhabditis_elegans

The HDF5 metadata records a 144 x 144 grid, T_max=8, seed 42, hard anchoring, and the D4 canonical transform flip_v. This is a byte-for-byte archive of the historical training artifact; it was not rebuilt during the TransMap migration. snapshot.json and SHA256SUMS record provenance and integrity metadata.

This artifact differs from the currently migrated build recipe, which requests T_max=5. Keep the snapshot and regenerated layouts under distinct names.

Download

Download the full dataset with huggingface_hub:

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="chansigit/transmap-layouts",
    repo_type="dataset",
    local_dir="transmap-layouts",
)

Or select only the historical multi-species snapshot:

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="chansigit/transmap-layouts",
    repo_type="dataset",
    allow_patterns="multi_species/string_5species/headline_tmax8_seed42/*",
    local_dir="transmap-layouts",
)

Source code

Build and migration workflows live in chansigit/transmap-layout-builds.

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