Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
event_id: string
event_ts: timestamp[s]
patient_id: string
facility_id: string
screening_mode: string
device_type: string
predicted_class: string
model_confidence: double
image_quality_score: double
referred: bool
referral_reason: string
ingestion_source: string
schema_version: int64
devices: list<item: string>
child 0, item: string
screening_modes: list<item: string>
child 0, item: string
sha256: string
synthetic: bool
source_revision: string
classes: list<item: string>
child 0, item: string
seed: int64
rows: int64
to
{'rows': Value('int64'), 'seed': Value('int64'), 'sha256': Value('string'), 'source_revision': Value('string'), 'synthetic': Value('bool'), 'classes': List(Value('string')), 'screening_modes': List(Value('string')), 'devices': List(Value('string'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
event_id: string
event_ts: timestamp[s]
patient_id: string
facility_id: string
screening_mode: string
device_type: string
predicted_class: string
model_confidence: double
image_quality_score: double
referred: bool
referral_reason: string
ingestion_source: string
schema_version: int64
devices: list<item: string>
child 0, item: string
screening_modes: list<item: string>
child 0, item: string
sha256: string
synthetic: bool
source_revision: string
classes: list<item: string>
child 0, item: string
seed: int64
rows: int64
to
{'rows': Value('int64'), 'seed': Value('int64'), 'sha256': Value('string'), 'source_revision': Value('string'), 'synthetic': Value('bool'), 'classes': List(Value('string')), 'screening_modes': List(Value('string')), 'devices': List(Value('string'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
MedLake Synthetic Screening Events
20,000 deterministic synthetic screening events (seed 42) for testing the MedLake Bronze/Silver/Gold, quality, quarantine, deduplication and streaming workflows.
This dataset contains no real patient data. patient_id values are synthetic identifiers.
SHA-256: fbb4544dee111ec1dc117cb7904337d55b9b5edfca904c70be580041f38b9dea
Source revision: 2d2800c5e998183b70c497ec5afb5244afdfa4ef
Source: https://github.com/singhankitsrf/MedLake-Azure-PySpark
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