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The dataset generation failed
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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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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