Datasets:

ClarusC64
/

pharma-reimbursement-path-optimization-forecasting-v0.1

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: 'Model must recommend endpoints, RWE plan, pricing zone, access probability, restriction burden, horizon, confidence' 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 recommend endpoints, RWE plan, pricing zone, access probability, restriction burden, horizon, confidence' 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	payer_region string	therapy_area string	compound string	indication string	comparator_context string	value_manifold_snapshot string	payer_stress_summary string	design_constraints string	RWE_feasibility_notes string	pricing_constraints string	optimal_endpoint_mix string	RWE_generation_plan string	pricing_stability_zone string	access_probability float64	restriction_burden_forecast string	coverage_stability_horizon string	confidence_score float64	notes string	constraints string	gold_checklist string
RPOF-001	EU HTA	oncology	drug-A	metastatic tumor	SOC chemo	benefit high; cost high; evidence mid	ICER pressure; long-term OS gap	limited sample; OS follow-up possible	registry linkage available	price flexibility limited	OS + QoL + TTD	EU registry linkage; post-launch OS follow-up; subgroup persistence	narrow	0.58	moderate restrictions	2y	0.74	needs durability proof	Under 280 words	endpoints+rwe+price+access+restrict+horizon+confidence
RPOF-002	UK payer	autoimmune	drug-B	RA	TNF inhibitors	benefit mid; cost mid; evidence mid	head-to-head missing; comparator risk	add head-to-head feasible	NHS EHR strong	price flexible	head-to-head ACR + flare rate + steroid-sparing	NHS comparative RWE; persistence; discontinuation reasons	moderate	0.62	step therapy likely	3y	0.72	solve comparator	Under 280 words	endpoints+rwe+price+access+restrict+horizon+confidence
RPOF-003	US commercial	rare disease	drug-C	enzyme deficiency	none	benefit high; cost very high; evidence low	budget impact; small n	single-arm only	registry feasible	price inflexible	functional endpoint + hospitalization + caregiver burden	expand registry; natural history comparator; claims linkage	narrow	0.55	prior auth heavy	2y	0.73	orphan path	Under 280 words	endpoints+rwe+price+access+restrict+horizon+confidence
RPOF-004	EU HTA	cardio	drug-D	HFpEF	ACEi	benefit low-mid; cost low; evidence mid	endpoint fragility; heterogeneity	longer follow-up needed	claims + EHR feasible	price flexible	MACE + hospitalization + subgroup enrichment	RWE outcomes study; heterogeneity mapping; adherence analysis	wide	0.7	low restrictions	4y	0.7	cheap but modest	Under 280 words	endpoints+rwe+price+access+restrict+horizon+confidence
RPOF-005	US PBM	neuro	drug-E	migraine	CGRP class	benefit mid; cost high; evidence low-mid	class crowding; durability unknown	extension study feasible	claims feasible; PRO app feasible	price flexibility moderate	durability + responder rate + functional days	claims persistence; PRO burden reduction; discontinuation mapping	narrow	0.54	tiering + prior auth	18m	0.71	needs differentiation	Under 280 words	endpoints+rwe+price+access+restrict+horizon+confidence
RPOF-006	EU HTA	metabolic	drug-F	T2D	GLP-1	benefit low-mid; cost mid; evidence mid	outcomes missing; weak differentiation	CV outcomes feasible	EHR + registry feasible	price flexible	CV outcomes + weight + renal endpoints	RWE CV outcomes; adherence; renal subgroup durability	moderate	0.63	moderate restrictions	3y	0.69	outcomes proof	Under 280 words	endpoints+rwe+price+access+restrict+horizon+confidence

What this dataset tests

Whether a system can forecast a robust reimbursement pathway
from payer pressure, evidence constraints, and pricing limits.

Required outputs

optimal_endpoint_mix
RWE_generation_plan
pricing_stability_zone
access_probability
restriction_burden_forecast
coverage_stability_horizon
confidence_score

Use case

Phase III design for reimbursement success.
RWE planning that closes payer gaps.
Pricing posture and restriction forecasting.

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