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Cameron-Chen/polaris-53k

Polaris 53K: conflict-free RL and GEPA splits This dataset derives deterministic, mutually disjoint splits from kushasareen/sdpo-datasets/polaris_5k at source commit 51fd81230be64a06d77e7edc33d3c0d60b3186b5. Splits Split Rows Intended use train (train_split.parquet) 51,911 RL actor training and GEPA trajectory training validation (val_split.parquet) 100 Fixed held-out GEPA prompt evaluation test (test.parquet) 500 Final model evaluation… See the full description on the dataset page: https://huggingface.co/datasets/Cameron-Chen/polaris-53k.

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Polaris 53K: conflict-free RL and GEPA splits

This dataset derives deterministic, mutually disjoint splits from `kushasareen/sdpo-datasets/polaris_5k` at source commit 51fd81230be64a06d77e7edc33d3c0d60b3186b5.

Splits

SplitRowsIntended use
train (train_split.parquet)51,911RL actor training and GEPA trajectory training
validation (val_split.parquet)100Fixed held-out GEPA prompt evaluation
test (test.parquet)500Final model evaluation

Validation is sampled from the cleaned source train data. Test is sampled from the cleaned source test data. Both use seed 42.

De-duplication and conflict policy

The normalized problem key applies Unicode NFKC normalization, normalizes line endings, and collapses whitespace while preserving case.

  • —If one normalized problem has multiple normalized ground-truth answers, every occurrence of that problem is removed globally.
  • —If repeated normalized problems have the same normalized answer, the first occurrence is retained.
  • —If a consistent problem occurs in both source train and source test, the test occurrence is preserved and the train occurrence is removed.
  • —The three published splits have no normalized-problem overlap.

The build removed 26 train rows belonging to 13 conflicting problem groups, 235 additional duplicate train rows, and 6 train rows overlapping source test. No duplicate or conflicting rows were found within the source test data.

See split_manifest.json for source and output SHA-256 hashes, exact audit counts, normalization details, and split-key hashes.

Schema and provenance

The source parquet schema is preserved, including prompt, reward_model, and extra_info. Only extra_info.split is updated to identify each output split. The source dataset is derived from `POLARIS-Project/Polaris-Dataset-53K`.