Note Unified code reasoning dataset with 7 splits (958K+ examples): Python, competitive programming, and Verilog. Includes rstar-coder (386K), kodcode (435K), and 5 other datasets.

Note Largest dataset. High-quality Python from LeetCode, HumanEval, docs. Includes GPT-4 quality metrics (89.8% retention).

Note Second largest. Microsoft rStar-Coder with test case-based evaluation. Synthetic large-scale dataset.

Note TIGER-Lab AceCode. Uses pytest-style assertions for Sandbox Fusion compatibility.

Note Competitive programming: CodeContests, TACO, APPS, Codeforces. Schema unified with skywork format.

Note Reference standard with model difficulty ratings. 80.4% cleaned of instruction prefixes.

Note ByteDance Code-Contests-Plus. Sandbox-validated test cases (72.1% success rate).

Note Verilog HDL for hardware design. Filtered version with 87.1% test pass rate.