The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
trial_id: string
source: string
subsidiary: string
sponsor: string
official_title: string
success_prediction: double
economic_effect: double
duration_prediction: double
success_composite: double
-- schema metadata --
huggingface: '{"info": {"features": {"trial_id": {"dtype": "string", "_ty' + 470
to
{'symbol': Value('string'), 'datetime': Value('string'), 'success_prediction': Value('float64'), 'economic_effect': Value('float64'), 'duration_prediction': Value('float64'), 'success_composite': Value('float64'), 'class': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1975, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 503, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 350, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 106, in _generate_tables
yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
trial_id: string
source: string
subsidiary: string
sponsor: string
official_title: string
success_prediction: double
economic_effect: double
duration_prediction: double
success_composite: double
-- schema metadata --
huggingface: '{"info": {"features": {"trial_id": {"dtype": "string", "_ty' + 470
to
{'symbol': Value('string'), 'datetime': Value('string'), 'success_prediction': Value('float64'), 'economic_effect': Value('float64'), 'duration_prediction': Value('float64'), 'success_composite': Value('float64'), 'class': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dataset Information
Weekly clinical trial outcome predictions for global pharmaceutical sponsors, provided by SOV.AI. Each row represents the latest modelled view for a trial on a given week, combining regulatory success probabilities, time-to-completion expectations, and an economic impact index.
- Coverage: Pharmaceutical and biotech trials with mapped corporate tickers (where available)
- Update cadence: Weekly (~1,052 new trials evaluated each week)
- Performance: Ensemble models delivering 87% ROC-AUC on held-out validation data
- Outputs: Success probability, composite success score, predicted duration (days), economic effect index, and sponsor class
Data Source
Data provided by SOV.AI. Access programmatically via:
import sovai as sov
df_clinical = sov.data("clinical/predict", full_history=True)
Notes
- Probabilistic scores (
success_prediction,success_composite) are in the range 0–1. duration_predictionis expressed in days.economic_effectis a unitless index indicating the magnitude of expected market response.classidentifies the sponsor type (e.g., INDUSTRY, NIH, OTHER).
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