Datasets:

ClarusC64
/

pharma-long-horizon-adaptation-forecast-v0.1

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: 'Model must forecast coherence, durability probability, tolerance horizon, rebound window, discontinuation risk, dose leverage, 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 forecast coherence, durability probability, tolerance horizon, rebound window, discontinuation risk, dose leverage, 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	trial_context string	compound string	dosing_plan string	early_phase_window string	early_adaptation_summary string	compensation_signals_summary string	coupling_dynamics_summary string	short_term_clinical_effect string	known_followup_outcome_summary string	steady_state_coherence_estimate float64	durable_response_probability float64	tolerance_horizon_estimate string	rebound_window_estimate string	discontinuation_risk float64	dose_adjustment_leverage float64	confidence_score float64	notes string	constraints string	gold_checklist string
LHAF-001	phase1 patient	compound-A	daily x28d	week1	smooth adjustment; coupling tightens	none detected	metabolic coupling strengthens	energy improved	effect sustained to day28	0.8	0.74	90d	none	0.18	0.62	0.74	durable profile	Under 260 words	coherence+durable+tolerance+rebound+dropout+leverage+confidence
LHAF-002	phase1 patient	compound-B	daily x28d	week1	initial relief	immune rebound loop signals	immune-metabolic oscillation	symptoms improve early	tolerance by day21; rebound after stop	0.42	0.28	21d	7-14d post-stop	0.52	0.55	0.73	classic tolerance	Under 260 words	coherence+durable+tolerance+rebound+dropout+leverage+confidence
LHAF-003	phase1 healthy	compound-C	daily x14d	week1	stress response; decoupling	strong compensation signals	cardio-endocrine decouple persists	agitation	discontinuation due AE by day10	0.25	0.1	10d	0-3d	0.78	0.35	0.8	unsafe adaptation	Under 260 words	coherence+durable+tolerance+rebound+dropout+leverage+confidence
LHAF-004	phase1 patient	compound-D	daily x28d	week1	gradual alignment	low compensation	mito-neuro coherence rises	fatigue improves	sustained benefit to day28	0.78	0.7	120d	none	0.2	0.6	0.72	stable	Under 260 words	coherence+durable+tolerance+rebound+dropout+leverage+confidence
LHAF-005	phase1 patient	compound-E	daily x28d	week1	neutral adjustment	none	no meaningful coupling shift	minimal effect	no durable response	0.5	0.22	none	none	0.25	0.2	0.65	non-responder	Under 260 words	coherence+durable+tolerance+rebound+dropout+leverage+confidence
LHAF-006	phase1 patient	compound-F	daily x28d	week1	partial stabilization	moderate compensation	fragile coupling; oscillatory	partial relief	drift and dose escalation needed by day18	0.46	0.32	18d	5-10d post-stop	0.48	0.68	0.71	needs adjustment	Under 260 words	coherence+durable+tolerance+rebound+dropout+leverage+confidence

What this dataset tests

Whether a system can forecast long-horizon adaptation outcomes
from early-phase human trial data.

It predicts durability, tolerance timing, rebound windows, and dropout risk.

Required outputs

steady_state_coherence_estimate
durable_response_probability
tolerance_horizon_estimate
rebound_window_estimate
discontinuation_risk
dose_adjustment_leverage
confidence_score

Use case

Predict chronic dosing outcomes from week-1 signals.
Support early go/no-go decisions.
Identify candidates that create durable coherent basins.

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