facebookresearch / CCQA

CCQA A New Web-Scale Question Answering Dataset for Model Pre-Training

Summary

	TOML
		Main Code: 1,171 LOC (6 files) = PY (68%) + RS (29%) + TOML (1%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 144 LOC (3);
		Duplication: 16%
		File Size: 0% long (>1000 LOC), 20% short (<= 200 LOC)
		Unit Size: 0% long (>100 LOC), 25% short (<= 10 LOC)
		Conditional Complexity: 0% complex (McCabe index > 50), 40% simple (McCabe index <= 5)
		Logical Component Decomposition: primary (3 components)
		Goals: Keep the system simple and easy to change (4)

generated by sokrates.dev (configuration) on 2022-01-25