Add nano_bm25_subset_config.json for bm25 subset reproducibility
Browse files- nano_bm25_subset_config.json +464 -0
nano_bm25_subset_config.json
ADDED
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@@ -0,0 +1,464 @@
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| 1 |
+
{
|
| 2 |
+
"dataset_id": "hotchpotch/NanoCodeSearchNet",
|
| 3 |
+
"output_dir": "output/datasets/NanoCodeSearchNet_bm25_subsets_auto_best",
|
| 4 |
+
"corpus_subset_name": "corpus",
|
| 5 |
+
"queries_subset_name": "queries",
|
| 6 |
+
"qrels_subset_name": "qrels",
|
| 7 |
+
"top_k": 100,
|
| 8 |
+
"sample_size": 50,
|
| 9 |
+
"language_seed": 13,
|
| 10 |
+
"auto_select_best_splitter": true,
|
| 11 |
+
"selection_ndcg_k": 100,
|
| 12 |
+
"selection_candidates": [
|
| 13 |
+
"transformer:qwen",
|
| 14 |
+
"stemmer:pystemmer",
|
| 15 |
+
"wordseg:ja|zh|th|ko (when dependencies are available)",
|
| 16 |
+
"whitespace:split"
|
| 17 |
+
],
|
| 18 |
+
"default_tokenization_config": {
|
| 19 |
+
"splitter_mode": "auto",
|
| 20 |
+
"tokenizer_name": "Qwen/Qwen3-0.6B",
|
| 21 |
+
"stemmer_algorithm": null,
|
| 22 |
+
"enable_stemming": true
|
| 23 |
+
},
|
| 24 |
+
"splits": [
|
| 25 |
+
{
|
| 26 |
+
"split_name": "NanoCodeSearchNetGo",
|
| 27 |
+
"tokenization_plan": {
|
| 28 |
+
"mode": "transformer",
|
| 29 |
+
"language": "unknown",
|
| 30 |
+
"stemmer_algorithm": null,
|
| 31 |
+
"tokenizer_name": "Qwen/Qwen3-0.6B",
|
| 32 |
+
"reason": "manual transformer override"
|
| 33 |
+
},
|
| 34 |
+
"main_score_name": "ndcg_at_100",
|
| 35 |
+
"main_score": 0.3975274196992957,
|
| 36 |
+
"selected_evaluation": {
|
| 37 |
+
"plan": {
|
| 38 |
+
"mode": "transformer",
|
| 39 |
+
"language": "unknown",
|
| 40 |
+
"stemmer_algorithm": null,
|
| 41 |
+
"tokenizer_name": "Qwen/Qwen3-0.6B",
|
| 42 |
+
"reason": "manual transformer override"
|
| 43 |
+
},
|
| 44 |
+
"ndcg_at_k": 0.3975274196992957,
|
| 45 |
+
"qrels_coverage": 0.64,
|
| 46 |
+
"qrels_hits": 32,
|
| 47 |
+
"qrels_total": 50,
|
| 48 |
+
"k": 100,
|
| 49 |
+
"ndcg_at_10": 0.3643734340586729,
|
| 50 |
+
"ndcg_at_100": 0.3975274196992957,
|
| 51 |
+
"main_score": 0.3975274196992957,
|
| 52 |
+
"main_score_name": "ndcg_at_100"
|
| 53 |
+
},
|
| 54 |
+
"qrels_coverage": {
|
| 55 |
+
"total": 50,
|
| 56 |
+
"hits": 32,
|
| 57 |
+
"recall": 0.64
|
| 58 |
+
},
|
| 59 |
+
"candidate_evaluations": [
|
| 60 |
+
{
|
| 61 |
+
"plan": {
|
| 62 |
+
"mode": "transformer",
|
| 63 |
+
"language": "unknown",
|
| 64 |
+
"stemmer_algorithm": null,
|
| 65 |
+
"tokenizer_name": "Qwen/Qwen3-0.6B",
|
| 66 |
+
"reason": "manual transformer override"
|
| 67 |
+
},
|
| 68 |
+
"ndcg_at_k": 0.3975274196992957,
|
| 69 |
+
"qrels_coverage": 0.64,
|
| 70 |
+
"qrels_hits": 32,
|
| 71 |
+
"qrels_total": 50,
|
| 72 |
+
"k": 100,
|
| 73 |
+
"ndcg_at_10": 0.3643734340586729,
|
| 74 |
+
"ndcg_at_100": 0.3975274196992957,
|
| 75 |
+
"main_score": 0.3975274196992957,
|
| 76 |
+
"main_score_name": "ndcg_at_100"
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"plan": {
|
| 80 |
+
"mode": "whitespace",
|
| 81 |
+
"language": "unknown",
|
| 82 |
+
"stemmer_algorithm": null,
|
| 83 |
+
"tokenizer_name": null,
|
| 84 |
+
"reason": "manual whitespace override"
|
| 85 |
+
},
|
| 86 |
+
"ndcg_at_k": 0.06645310137339992,
|
| 87 |
+
"qrels_coverage": 0.18,
|
| 88 |
+
"qrels_hits": 9,
|
| 89 |
+
"qrels_total": 50,
|
| 90 |
+
"k": 100,
|
| 91 |
+
"ndcg_at_10": 0.041232126232897015,
|
| 92 |
+
"ndcg_at_100": 0.06645310137339992,
|
| 93 |
+
"main_score": 0.06645310137339992,
|
| 94 |
+
"main_score_name": "ndcg_at_100"
|
| 95 |
+
}
|
| 96 |
+
]
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"split_name": "NanoCodeSearchNetJava",
|
| 100 |
+
"tokenization_plan": {
|
| 101 |
+
"mode": "transformer",
|
| 102 |
+
"language": "unknown",
|
| 103 |
+
"stemmer_algorithm": null,
|
| 104 |
+
"tokenizer_name": "Qwen/Qwen3-0.6B",
|
| 105 |
+
"reason": "manual transformer override"
|
| 106 |
+
},
|
| 107 |
+
"main_score_name": "ndcg_at_100",
|
| 108 |
+
"main_score": 0.43246983504499753,
|
| 109 |
+
"selected_evaluation": {
|
| 110 |
+
"plan": {
|
| 111 |
+
"mode": "transformer",
|
| 112 |
+
"language": "unknown",
|
| 113 |
+
"stemmer_algorithm": null,
|
| 114 |
+
"tokenizer_name": "Qwen/Qwen3-0.6B",
|
| 115 |
+
"reason": "manual transformer override"
|
| 116 |
+
},
|
| 117 |
+
"ndcg_at_k": 0.43246983504499753,
|
| 118 |
+
"qrels_coverage": 0.78,
|
| 119 |
+
"qrels_hits": 39,
|
| 120 |
+
"qrels_total": 50,
|
| 121 |
+
"k": 100,
|
| 122 |
+
"ndcg_at_10": 0.3952399593626524,
|
| 123 |
+
"ndcg_at_100": 0.43246983504499753,
|
| 124 |
+
"main_score": 0.43246983504499753,
|
| 125 |
+
"main_score_name": "ndcg_at_100"
|
| 126 |
+
},
|
| 127 |
+
"qrels_coverage": {
|
| 128 |
+
"total": 50,
|
| 129 |
+
"hits": 39,
|
| 130 |
+
"recall": 0.78
|
| 131 |
+
},
|
| 132 |
+
"candidate_evaluations": [
|
| 133 |
+
{
|
| 134 |
+
"plan": {
|
| 135 |
+
"mode": "transformer",
|
| 136 |
+
"language": "unknown",
|
| 137 |
+
"stemmer_algorithm": null,
|
| 138 |
+
"tokenizer_name": "Qwen/Qwen3-0.6B",
|
| 139 |
+
"reason": "manual transformer override"
|
| 140 |
+
},
|
| 141 |
+
"ndcg_at_k": 0.43246983504499753,
|
| 142 |
+
"qrels_coverage": 0.78,
|
| 143 |
+
"qrels_hits": 39,
|
| 144 |
+
"qrels_total": 50,
|
| 145 |
+
"k": 100,
|
| 146 |
+
"ndcg_at_10": 0.3952399593626524,
|
| 147 |
+
"ndcg_at_100": 0.43246983504499753,
|
| 148 |
+
"main_score": 0.43246983504499753,
|
| 149 |
+
"main_score_name": "ndcg_at_100"
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"plan": {
|
| 153 |
+
"mode": "whitespace",
|
| 154 |
+
"language": "unknown",
|
| 155 |
+
"stemmer_algorithm": null,
|
| 156 |
+
"tokenizer_name": null,
|
| 157 |
+
"reason": "manual whitespace override"
|
| 158 |
+
},
|
| 159 |
+
"ndcg_at_k": 0.10978504270325416,
|
| 160 |
+
"qrels_coverage": 0.3,
|
| 161 |
+
"qrels_hits": 15,
|
| 162 |
+
"qrels_total": 50,
|
| 163 |
+
"k": 100,
|
| 164 |
+
"ndcg_at_10": 0.084903018472348,
|
| 165 |
+
"ndcg_at_100": 0.10978504270325416,
|
| 166 |
+
"main_score": 0.10978504270325416,
|
| 167 |
+
"main_score_name": "ndcg_at_100"
|
| 168 |
+
}
|
| 169 |
+
]
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"split_name": "NanoCodeSearchNetJavaScript",
|
| 173 |
+
"tokenization_plan": {
|
| 174 |
+
"mode": "transformer",
|
| 175 |
+
"language": "unknown",
|
| 176 |
+
"stemmer_algorithm": null,
|
| 177 |
+
"tokenizer_name": "Qwen/Qwen3-0.6B",
|
| 178 |
+
"reason": "manual transformer override"
|
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