Datasets:

ItsMaxNorm
/

pc-bench-results

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train · 11 rows

id int64 1 11	model stringlengths 4 27	type stringclasses 2 values	score float64 0.01 0.63	accuracy float64 0.02 0.8	hit_rate float64 0.02 0.8	mrr float64 0.01 0.63	r_at_1 float64 0 0.58	r_at_5 float64 0.02 0.66	r_at_10 float64 0.02 0.74	time_s float64 21.1 210 ⌀	steps float64 0.04 4.15 ⌀
1	Qwen3-Coder-30B-Q3_K_M	Agent	0.627	0.8	0.8	0.627	0.58	0.66	0.74	22.2	1.42
2	qwen3-coder:30b	Agent	0.518	0.8	0.8	0.518	0.46	0.52	0.72	21.1	1.34
3	BM25	Baseline	0.541	0.78	0.78	0.541	0.48	0.6	0.66	null	null
4	microcoder-deepseekr1-14.8b	Agent	0.453	0.73	0.73	0.453	0.38	0.46	0.65	107.4	4.15
5	deepseek-coder-v3:16b	Agent	0.396	0.66	0.66	0.396	0.32	0.46	0.52	47.9	1.54
6	qwen2.5-coder:3b	Agent	0.366	0.6	0.6	0.366	0.28	0.45	0.53	210.4	1.51
7	qwen2.5-coder:14b	Agent	0.461	0.56	0.56	0.461	0.41	0.51	0.51	73.4	1.05
8	Semantic (MiniLM-L6)	Baseline	0.279	0.54	0.54	0.279	0.22	0.32	0.38	null	null
9	qwen2.5-coder:7b	Agent	0.311	0.54	0.54	0.311	0.26	0.36	0.4	59.3	0.84
10	deepseek-coder:33b	Agent	0.087	0.12	0.12	0.087	0.08	0.08	0.12	180.4	0.14
11	granite-code:34b	Agent	0.01	0.02	0.02	0.01	0	0.02	0.02	111.3	0.04

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