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 88, in _split_generators
inferred_arrow_schema = pa.concat_tables(pa_tables, promote_options="default").schema
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 6268, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowTypeError: Unable to merge: Field json has incompatible types: list<item: struct<pmcid: string, pmid: int64, doi: string, title: string, citation: string, license_code: string>> vs struct<kind: string, query: string, allowed_licenses: list<item: string>, ids: list<item: string>>
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.
Prostate cancer knowledge-graph data: private mirror
Raw files of the open sources used to build the UVA prostate cancer knowledge graph (non-profit research, Prof. Xi Peng's lab), packed for fast download by team members. Code, documentation and examples: github.com/jiazheng-wang-yes/knowledge-graph-data (private).
Team use only. Do not redistribute, do not make this repository public, do not upload these files elsewhere. Each source keeps its own license (below and in the files); several are non-commercial (NC) or no-derivatives (ND). Only synthetic data derived from these sources is released.
| collection | units | files | size | source and license |
|---|---|---|---|---|
guidelines |
156 | 1,201 | 0.09 GB | PMC Open Access guidelines, consensus statements, reporting systems and teaching reviews with figures, CC0 / CC BY(-SA/-NC/-NC-SA/-ND/-NC-ND) (meta.json) |
papers |
148 | 730 | 0.38 GB | Records and abstracts of 1,000 top-cited papers (Europe PMC); full text only for CC-licensed articles |
pmc |
1,982 | 14,283 | 1.11 GB | PMC Open Access case reports with figures, CC0 / CC BY(-SA/-NC/-NC-SA/-ND/-NC-ND) (meta.json) |
tcga_prad |
500 | 2,051 | 0.20 GB | NIH GDC open access (TCGA-PRAD clinical, biospecimen, pathology reports) |
textbooks |
80 | 1,654 | 0.20 GB | NCBI Bookshelf open-access chapters; per-chapter license in license.txt (CC BY, CC BY-NC(-ND), UK OGL, public domain) |
Download
git clone https://github.com/jiazheng-wang-yes/knowledge-graph-data.git && cd knowledge-graph-data
hf auth login
python -P scripts/hf_data.py pull # everything, then builds catalog/catalog.sqlite
python -P scripts/hf_data.py pull --only pmc,papers --limit pmc=100
Packs are tar files of consecutive units (articles, papers, books, patients) with paths relative to the data root;
pull verifies their sha256 and extracts them into $KGDATA_ROOT (default data/). Index of packs:
index/<collection>.jsonl.
Contributing data
Download or add files with the repository's scripts, then python -P scripts/hf_data.py push --only <collection> (write
access) or ... --pr (opens a pull request). Versions are tags: pull --revision v1.0.
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