Datasets:
TACO + LeetCode
The historical SFT pool has 21,879 rows (19,493 TACO; 2,386 LeetCodeDataset). This release holds out 100 unique-prompt problems using seed 20260907 and source/category stratification, leaving 21,779 training rows. The original order and all original SFT fields remain recoverable.
RL retains the original 17,249 train / 100 validation split and all reward tests. Its training metadata marks 11,587 reference-execution-verified rows and 5,662 structural-only rows; validation has 71 and 29 respectively. The two task configurations were not built as a shared SFT-to-RL partition.
Seven removal categories use overlap_categories; no_tags marks unlabeled
rows. Original detailed SFT labels remain in raw_* columns. Recorded historical SFT
arms have 14,043 rows and RL arms have 12,168. Release SFT arm exports exclude
the new holdout and therefore need not remain equal-size.
# Original 21,879-row SFT pool, in original order:
python scripts/build_taco_leetcode.py --arm full_sft --historical --output original.parquet
# Historical RL arm:
python scripts/build_taco_leetcode.py --kind rl --arm no_graph --output arm.parquet
The build script also accepts a frozen source export through --source DIR.
Source records, IDs, and split hashes are documented in metadata/taco_leetcode/.