Scaling Self-Play with Self-Guidance
Paper • 2604.20209 • Published
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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'test' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ValueError
Message: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/NathanHerr/sgs-repl-sgs-01-data@6f7490ec1ac1e43fb0f59400226e5883d83162ce/sgs/iteration_0/prover_dataset_0.pkl_eval.json.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4645, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2866, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 354, in _generate_tables
raise ValueError(
f"Failed to convert pandas DataFrame to Arrow Table from file {file}."
) from None
ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/NathanHerr/sgs-repl-sgs-01-data@6f7490ec1ac1e43fb0f59400226e5883d83162ce/sgs/iteration_0/prover_dataset_0.pkl_eval.json.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
sgs-repl-sgs-01 data
Per-iteration outputs of a replication of SGS (paper) at upstream commit
64d2de4: 50 iterations, about 2M generations, cumulative solve rate 59.3% of D_3k
(curve.csv). Checkpoints: NathanHerr/sgs-repl-sgs-01-checkpoints.
Layout as written by SGS (sgs/iteration_<t>/):
prover_dataset_<t>.pkl,prover_dataset_<t>.pkl_eval.json: proof attempts and Lean verdicts.conjecturer_dataset_<t>.pkl,..._iteration_conjecture_list.json: conjectured lemmas, their solve rates and Guide reviews.
Plus provenance.txt (job IDs, package versions, commands) and resource logs.
The .pkl files are Python pickles: load only if you trust this repository.
Generated by fine-tunes of deepseek-ai/DeepSeek-Prover-V2-7B (DeepSeek License) on the problems of LukeBailey181Pub/D_3k.
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