Datasets:

ClarusC64
/

pharma-payer-coherence-stress-test-v0.1

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: 'Model must identify fragility points, comparator risk, ICER pressure, evidence gaps, restriction likelihood, rejection probability' as a scalar of type double
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2224, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2086, in cast_array_to_feature
                  return array_cast(
                         ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                         ^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 1135, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.12/site-packages/pyarrow/compute.py", line 412, in cast
                  return call_function("cast", [arr], options, memory_pool)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Failed to parse string: 'Model must identify fragility points, comparator risk, ICER pressure, evidence gaps, restriction likelihood, rejection probability' as a scalar of type double
              
              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/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1919, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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id string	therapy_area string	compound string	indication string	payer_region string	comparator_context string	clinical_value_summary string	safety_value_summary string	real_world_evidence_status string	cost_profile_summary string	submission_narrative_summary string	value_argument_fragility_points string	comparator_challenge_risk float64	ICER_pressure_zones string	evidence_gap_flags string	restriction_likelihood float64	rejection_probability float64	confidence_score float64	notes string	constraints string	gold_checklist string
PCS-001	oncology	drug-A	metastatic tumor	EU HTA	SOC chemo	OS +4m	manageable	registry supportive	high cost	strong survival narrative	cost_vs_OS_gain	0.66	upper ICER band	long-term data missing	0.62	0.4	0.76	fragile on cost	Under 260 words	fragility+comp+icer+gap+restrict+reject+confidence
PCS-002	autoimmune	drug-B	RA	UK payer	TNF inhibitors	ACR improvement	good	moderate RWE	moderate cost	competitive narrative	non-superiority vs TNF	0.6	mid ICER	head-to-head missing	0.58	0.32	0.72	comparator risk	Under 260 words	fragility+comp+icer+gap+restrict+reject+confidence
PCS-003	rare disease	drug-C	enzyme deficiency	US commercial	none	large effect	moderate AE	limited RWE	very high cost	orphan narrative	budget impact	0.45	high ICER	small sample	0.55	0.28	0.75	orphan leverage	Under 260 words	fragility+comp+icer+gap+restrict+reject+confidence
PCS-004	cardio	drug-D	HFpEF	EU HTA	ACEi	modest benefit	clean	weak RWE	low cost	incremental narrative	clinical modesty	0.52	low ICER	endpoint fragility	0.4	0.22	0.7	low rejection	Under 260 words	fragility+comp+icer+gap+restrict+reject+confidence
PCS-005	neuro	drug-E	migraine	US PBM	CGRP	similar efficacy	good	early RWE	high cost	non-differentiated	class crowding	0.7	upper ICER	durability unknown	0.68	0.45	0.73	crowded	Under 260 words	fragility+comp+icer+gap+restrict+reject+confidence
PCS-006	metabolic	drug-F	T2D	EU HTA	GLP-1	HbA1c modest	good	neutral RWE	moderate cost	incremental benefit	comparative weakness	0.62	mid ICER	outcomes data missing	0.57	0.3	0.71	fragile differentiation	Under 260 words	fragility+comp+icer+gap+restrict+reject+confidence

What this dataset tests

Whether a therapy’s payer value narrative holds under stress.
It identifies fragility points across comparator pressure, ICER thresholds, and evidence gaps.

Required outputs

value_argument_fragility_points
comparator_challenge_risk
ICER_pressure_zones
evidence_gap_flags
restriction_likelihood
rejection_probability
confidence_score

Use case

Pre-submission payer strategy testing.
Phase III endpoint selection.
Launch risk forecasting.

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