CAMP-ER Episode-Core R1A
Collection
Evidence registry, derived release metadata, and manuscript code for the frozen CAMP-ER Episode-Core R1A early sepsis warning study. • 2 items • Updated
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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 8 new columns ({'best_utility', 'seed_best_utility_mean', 'best_utility_brier', 'seed_best_utility_stdev', 'condition', 'best_utility_auprc', 'best_utility_auroc', 'best_utility_false_alerts_per_patient_day'}) and 4 missing columns ({'delta', 'C2', 'seed', 'C0'}).
This happened while the csv dataset builder was generating data using
hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence/data/architecture-rescore.csv (at revision 2089ef3a168684f3345aa6a01bf88b6c8378a52f), ['hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/data/architecture-adjudication.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/data/architecture-rescore.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/data/heldout-results.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/data/mortality-results.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/evidence-manifest.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-1-dataset-composition.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-2-governance-chain.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-3-architecture-conditions.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-4-matrix-rescore.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-5-adjudication.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-6-heldout.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-7-limitations.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-8-negative-results.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
condition: string
best_utility: double
seed_best_utility_mean: double
seed_best_utility_stdev: double
best_utility_auprc: double
best_utility_auroc: double
best_utility_brier: double
best_utility_false_alerts_per_patient_day: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1406
to
{'seed': Value('int64'), 'C0': Value('float64'), 'C2': Value('float64'), 'delta': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 8 new columns ({'best_utility', 'seed_best_utility_mean', 'best_utility_brier', 'seed_best_utility_stdev', 'condition', 'best_utility_auprc', 'best_utility_auroc', 'best_utility_false_alerts_per_patient_day'}) and 4 missing columns ({'delta', 'C2', 'seed', 'C0'}).
This happened while the csv dataset builder was generating data using
hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence/data/architecture-rescore.csv (at revision 2089ef3a168684f3345aa6a01bf88b6c8378a52f), ['hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/data/architecture-adjudication.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/data/architecture-rescore.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/data/heldout-results.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/data/mortality-results.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/evidence-manifest.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-1-dataset-composition.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-2-governance-chain.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-3-architecture-conditions.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-4-matrix-rescore.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-5-adjudication.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-6-heldout.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-7-limitations.csv', 'hf://datasets/nur-dev/camp-er-episode-core-r1a-evidence@2089ef3a168684f3345aa6a01bf88b6c8378a52f/tables/table-8-negative-results.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)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.
seed int64 | C0 float64 | C2 float64 | delta float64 |
|---|---|---|---|
20,260,712 | 0.692965 | 0.701146 | 0.008181 |
20,260,713 | 0.704468 | 0.634485 | -0.069982 |
20,260,714 | 0.696593 | 0.66894 | -0.027653 |
20,260,715 | 0.67199 | 0.690485 | 0.018496 |
20,260,716 | 0.679979 | 0.7049 | 0.024921 |
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End of preview.
CAMP-ER Episode-Core R1A — evidence registry and derived release metadata
This repository contains the claim-level evidence registry and derived aggregate results for the frozen CAMP-ER Episode-Core R1A study, reported in "Audit-Locked Clinical Episode Modeling for Early Sepsis Warning: Deterministic Architecture Adjudication and Held-Out Source-System Evaluation".
Its purpose is verification. Every number reported in the manuscript is registered here as a claim bound to the study artifact it came from, the SHA-256 digest of that artifact, and the JSON pointer or CSV columns locating the value inside it. A reader can therefore confirm that a reported value was extracted rather than asserted, and can identify exactly which frozen artifact produced it.
Contents
| Path | Contents |
|---|---|
evidence-manifest.json, evidence-manifest.csv |
Claim-level registry: reported value, unit, manuscript location, source artifact, SHA-256, JSON pointer or CSV columns, extraction script, verification status |
data/extracted-evidence.json |
Extracted evidence used to render every figure and table |
data/architecture-rescore.csv |
Strict evaluator rescore of restorable checkpoints across conditions C0–C3 |
data/architecture-adjudication.csv |
Five-seed paired adjudication of conditions C0 and C2 |
data/heldout-results.csv |
Held-out source-system utility for the model of record and frozen baselines |
data/mortality-results.csv |
Mortality discrimination and calibration results |
tables/ |
The eight main manuscript tables in CSV form |
artifact-lineage.md |
Frozen artifact roots, superseded artifacts, and recorded discrepancies |
Provenance
Source-artifact locations are recorded as stable logical roots rather than machine-local paths. The SHA-256 digest accompanying each record is the verifiable provenance anchor.
Data
This repository contains aggregate and metadata records only. No patient-level data are included. The underlying source datasets are distributed by PhysioNet under their own access conditions and are not redistributed here. Access to patient-level data remains governed by the source data-use requirements.
Scope
The study is retrospective. The selected model is a research artifact and representation-initialization candidate. It is not production-qualified, not a clinical alert, not a treatment recommender, not a triage system, and not independently clinically validated. The held-out evaluation used a source system within one challenge curation, which is not an independent real-world clinical validation cohort.
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