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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/json/json.py", line 101, in _split_generators
                  pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
                             ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 225, in _generate_tables
                  with open(file, "rb") as f:
                       ~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/streaming.py", line 73, in wrapper
                  return function(*args, download_config=download_config, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
                  file_obj = fs.open(paths[0], mode)
                File "/usr/local/lib/python3.14/site-packages/fsspec/spec.py", line 1303, in open
                  f = self._open(
                      path,
                  ...<4 lines>...
                      **kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/fsspec/implementations/zip.py", line 129, in _open
                  out = self.zip.open(path, mode.strip("b"), force_zip64=self.force_zip_64)
                File "/usr/local/lib/python3.14/zipfile/__init__.py", line 1719, in open
                  zinfo = self.getinfo(name)
                File "/usr/local/lib/python3.14/zipfile/__init__.py", line 1647, in getinfo
                  raise KeyError(
                      'There is no item named %r in the archive' % name)
              KeyError: "There is no item named 'AllergyIntolerance/AllergyIntolerance_005442a4-c931-485d-bb14-e80b6567823d.json' in the archive"
              
              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.

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FHIR Dataset

A collection of HL7 FHIR R4 resource instances (JSON), organized by resource type. The data is aggregated from public FHIR example sets, a public FHIR test server, and synthetic patient data generators, then deduplicated by resource id within each type.

Contents

Resources are grouped into one folder per FHIR resource type, e.g. Patient/, Observation/, Encounter/, Condition/, MedicationRequest/, etc. Each folder contains one JSON file per resource instance.

Resource Count
Immunization 15433
CarePlan 3726
CareTeam 3653
Goal 2980
Organization 1489
MedicationAdministration 1262
Condition 1070
DocumentReference 1070
Encounter 1070
MedicationRequest 1070
Observation 1070
Patient 1070
Procedure 1070
ServiceRequest 1070
AllergyIntolerance 992
DiagnosticReport 779
MedicationStatement 538
Location 359
Medication 233
Specimen 200
MedicationDispense 79
Bundle 79
Task 70
MeasureReport 48
Person 15
Measure 13
EpisodeOfCare 10
Group 5

Total: 40,523 resource files across 28 resource types.

Sources

Data was assembled from the following public FHIR sources:

  • HL7 FHIR R4 examples — the official HL7 FHIR R4 example resource bundle, published by HL7.
  • MIMIC-IV FHIR Demo — a FHIR-formatted demo subset of the MIMIC-IV critical care dataset, published on PhysioNet.
  • FHIR SANER Implementation Guide — HL7's Situational Awareness for Novel Epidemic Response (SANER) implementation guide.
  • HAPI FHIR public test server — a public, shared FHIR R4 reference server used to pull additional resource instances via its search API, paginating through next links and deduplicating by resource id.
  • Synthea sample data (STU3, Sep 2019) — synthetic patient records generated by Synthea, an open-source synthetic patient population simulator. Transaction bundles were split into standalone per-resource JSON files and deduplicated by id against existing records.

Collection notes

  • Resources pulled from the shared HAPI FHIR server were capped at a pragmatic limit per resource type (rather than exhaustive pagination) to avoid placing excessive load on a shared public server. For most resource types, the server was fully exhausted before hitting that cap.
  • Records were deduplicated by resource id within each resource type across all source passes, so a given id appears at most once per folder.
  • All data is either synthetic (Synthea) or de-identified/example data intended for public use (HL7 examples, MIMIC-IV demo, HAPI public test server). No real patient data is included.

License

Refer to each upstream source's own license and usage terms, since this dataset aggregates data from multiple providers with independent licensing.

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