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
program_id: string
solution: string
language: string
metrics: string
combined_score: double
c5_bound: double
iteration_found: int64
generation: int64
parent_id: string
-- schema metadata --
huggingface: '{"info": {"features": {"program_id": {"dtype": "string", "_' + 441
to
{'iteration': Value('int64'), 'timestamp': Value('string'), 'global_best_score': Value('float64'), 'global_best_program_id': Value('string'), 'global_best_c5_bound': Value('float64'), 'total_programs': Value('int64'), 'global_productivity': Value('float64'), 'child_program_id': Value('null'), 'child_score': Value('null'), 'child_metrics': Value('string'), 'parent_program_id': Value('null'), 'is_improvement': Value('bool'), 'duration_seconds': Value('null'), 'reasoning_trace': Value('null'), 'sampling_paradigm': Value('null'), 'sampling_intensity': Value('null')}
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 2567, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2102, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2125, 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 479, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 380, 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 209, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, 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
program_id: string
solution: string
language: string
metrics: string
combined_score: double
c5_bound: double
iteration_found: int64
generation: int64
parent_id: string
-- schema metadata --
huggingface: '{"info": {"features": {"program_id": {"dtype": "string", "_' + 441
to
{'iteration': Value('int64'), 'timestamp': Value('string'), 'global_best_score': Value('float64'), 'global_best_program_id': Value('string'), 'global_best_c5_bound': Value('float64'), 'total_programs': Value('int64'), 'global_productivity': Value('float64'), 'child_program_id': Value('null'), 'child_score': Value('null'), 'child_metrics': Value('string'), 'parent_program_id': Value('null'), 'is_improvement': Value('bool'), 'duration_seconds': Value('null'), 'reasoning_trace': Value('null'), 'sampling_paradigm': Value('null'), 'sampling_intensity': Value('null')}
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.
adaevolve-erdos-r1-1island-50iter
All unique programs discovered during AdaEvolve run on Erdos Min Overlap. 21 programs from 50 iterations (single island, DeepSeek-R1).
Dataset Info
- Rows: 21
- Columns: 9
Columns
| Column | Type | Description |
|---|---|---|
| program_id | Value('string') | UUID of the program |
| solution | Value('string') | Full Python source code of the solution |
| language | Value('string') | Programming language (always 'python') |
| metrics | Value('string') | JSON string of evaluation metrics (c5_bound, combined_score, n_points, eval_time) |
| combined_score | Value('float64') | BENCHMARK/c5_bound score (higher is better, max=1.0 at target) |
| c5_bound | Value('float64') | C5 upper bound value (lower is better, target: 0.3808). Null if evaluation failed. |
| iteration_found | Value('int64') | Iteration number when this program was first discovered |
| generation | Value('int64') | Generation number (distance from seed program in the evolution tree) |
| parent_id | Value('string') | UUID of the parent program (null for seed program) |
Generation Parameters
{
"script_name": "skydiscover-run (CLI)",
"model": "deepseek-ai/DeepSeek-R1",
"description": "All unique programs discovered during AdaEvolve run on Erdos Min Overlap. 21 programs from 50 iterations (single island, DeepSeek-R1).",
"num_islands": 1,
"iterations": 50,
"task": "erdos_min_overlap",
"hyperparameters": {},
"input_datasets": []
}
Usage
from datasets import load_dataset
dataset = load_dataset("reasoning-degeneration-dev/adaevolve-erdos-r1-1island-50iter", split="train")
print(f"Loaded {len(dataset)} rows")
This dataset is tracked in reasoning-degeneration-dev/PROJECT-MANIFEST
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