New results for ai-sage/Giga-Embeddings-instruct (#278)
Browse files* update results
* mv to revision_id
* change model_meta
* update revision_id
* fix meta
* update on scores
* 3b-september-2025
* change revision due to flash-attn dependency
* recalc metrics
---------
Co-authored-by: Kolodin Egor <eikolodin@sberbank.ru>
Co-authored-by: Неизвестный Пользователь722497 <dolegosmirnov@sberbank.ru>
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- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/AmazonCounterfactualClassification.json +349 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/ArXivHierarchicalClusteringP2P.json +46 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/ArXivHierarchicalClusteringS2S.json +46 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/ArguAna.json +158 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/AskUbuntuDupQuestions.json +26 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/BIOSSES.json +26 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/Banking77Classification.json +73 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/BiorxivClusteringP2P.v2.json +34 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/CEDRClassification.json +73 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/CQADupstackGamingRetrieval.json +158 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/CQADupstackUnixRetrieval.json +158 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/ClimateFEVERHardNegatives.json +158 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/FEVERHardNegatives.json +158 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/FiQA2018.json +158 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/GeoreviewClassification.json +73 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/GeoreviewClusteringP2P.json +34 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/HeadlineClassification.json +73 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/HotpotQAHardNegatives.json +158 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/ImdbClassification.json +95 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/InappropriatenessClassification.json +95 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/KinopoiskClassification.json +73 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MIRACLReranking.json +130 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MIRACLRetrieval.json +158 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MTOPDomainClassification.json +137 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MassiveIntentClassification.json +261 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MassiveScenarioClassification.json +261 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MedrxivClusteringP2P.v2.json +34 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MedrxivClusteringS2S.v2.json +34 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MindSmallReranking.json +26 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RUParaPhraserSTS.json +26 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RiaNewsRetrieval.json +158 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuBQReranking.json +26 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuBQRetrieval.json +158 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuReviewsClassification.json +73 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuSTSBenchmarkSTS.json +43 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuSciBenchGRNTIClassification.json +73 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuSciBenchGRNTIClusteringP2P.json +34 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuSciBenchOECDClassification.json +73 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuSciBenchOECDClusteringP2P.json +34 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/SCIDOCS.json +158 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/SICK-R.json +26 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STS12.json +26 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STS13.json +26 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STS14.json +26 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STS15.json +26 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STS17.json +138 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STS22.json +26 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STS22.v2.json +90 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STSBenchmark.json +26 -0
- results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/SensitiveTopicsClassification.json +73 -0
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/AmazonCounterfactualClassification.json
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| 1 |
+
{
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| 2 |
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"dataset_revision": "e8379541af4e31359cca9fbcf4b00f2671dba205",
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| 3 |
+
"task_name": "AmazonCounterfactualClassification",
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| 4 |
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"mteb_version": "1.38.54",
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"scores": {
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| 6 |
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"validation": [
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{
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| 8 |
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"accuracy": 0.960511,
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| 9 |
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"f1": 0.901265,
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| 10 |
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"f1_weighted": 0.962358,
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| 11 |
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"ap": 0.696127,
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| 12 |
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"ap_weighted": 0.696127,
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| 13 |
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"scores_per_experiment": [
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| 14 |
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{
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| 15 |
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"accuracy": 0.965465,
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| 16 |
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"f1": 0.909908,
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| 17 |
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"f1_weighted": 0.966422,
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| 18 |
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"ap": 0.717502,
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"ap_weighted": 0.717502
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| 20 |
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},
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| 21 |
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{
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"accuracy": 0.963964,
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| 23 |
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"f1": 0.908784,
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| 24 |
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"f1_weighted": 0.965455,
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| 25 |
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"ap": 0.715818,
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| 26 |
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"ap_weighted": 0.715818
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| 27 |
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},
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| 28 |
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{
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| 29 |
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"accuracy": 0.965465,
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| 30 |
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"f1": 0.912064,
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| 31 |
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"f1_weighted": 0.966803,
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| 32 |
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"ap": 0.724672,
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| 33 |
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"ap_weighted": 0.724672
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| 34 |
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},
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| 35 |
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{
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| 36 |
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"accuracy": 0.954955,
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| 37 |
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"f1": 0.889864,
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| 38 |
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"f1_weighted": 0.957498,
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| 39 |
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"ap": 0.666969,
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| 40 |
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"ap_weighted": 0.666969
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| 41 |
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},
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| 42 |
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{
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| 43 |
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"accuracy": 0.960961,
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| 44 |
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"f1": 0.902335,
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| 45 |
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"f1_weighted": 0.962779,
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| 46 |
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"ap": 0.69875,
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| 47 |
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"ap_weighted": 0.69875
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| 48 |
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},
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| 49 |
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{
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| 50 |
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"accuracy": 0.956456,
|
| 51 |
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"f1": 0.891696,
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| 52 |
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"f1_weighted": 0.958594,
|
| 53 |
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"ap": 0.670168,
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| 54 |
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"ap_weighted": 0.670168
|
| 55 |
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},
|
| 56 |
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{
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| 57 |
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"accuracy": 0.959459,
|
| 58 |
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"f1": 0.899165,
|
| 59 |
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"f1_weighted": 0.96145,
|
| 60 |
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"ap": 0.690521,
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| 61 |
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"ap_weighted": 0.690521
|
| 62 |
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},
|
| 63 |
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{
|
| 64 |
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"accuracy": 0.962462,
|
| 65 |
+
"f1": 0.905541,
|
| 66 |
+
"f1_weighted": 0.964114,
|
| 67 |
+
"ap": 0.70718,
|
| 68 |
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"ap_weighted": 0.70718
|
| 69 |
+
},
|
| 70 |
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{
|
| 71 |
+
"accuracy": 0.959459,
|
| 72 |
+
"f1": 0.899165,
|
| 73 |
+
"f1_weighted": 0.96145,
|
| 74 |
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"ap": 0.690521,
|
| 75 |
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"ap_weighted": 0.690521
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"accuracy": 0.956456,
|
| 79 |
+
"f1": 0.894132,
|
| 80 |
+
"f1_weighted": 0.959018,
|
| 81 |
+
"ap": 0.679174,
|
| 82 |
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"ap_weighted": 0.679174
|
| 83 |
+
}
|
| 84 |
+
],
|
| 85 |
+
"main_score": 0.960511,
|
| 86 |
+
"hf_subset": "en-ext",
|
| 87 |
+
"languages": [
|
| 88 |
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"eng-Latn"
|
| 89 |
+
]
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"accuracy": 0.922985,
|
| 93 |
+
"f1": 0.876026,
|
| 94 |
+
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results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/ArXivHierarchicalClusteringS2S.json
ADDED
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@@ -0,0 +1,46 @@
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| 2 |
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| 4 |
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| 5 |
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| 40 |
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results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/ArguAna.json
ADDED
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@@ -0,0 +1,158 @@
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| 1 |
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| 2 |
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|
| 3 |
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|
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|
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| 7 |
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| 116 |
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| 117 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 124 |
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| 125 |
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| 126 |
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|
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| 128 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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| 136 |
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| 137 |
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| 138 |
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| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 144 |
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| 145 |
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| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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"eng-Latn"
|
| 152 |
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| 153 |
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|
| 154 |
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|
| 155 |
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| 156 |
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| 157 |
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| 158 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/AskUbuntuDupQuestions.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "2000358ca161889fa9c082cb41daa8dcfb161a54",
|
| 3 |
+
"task_name": "AskUbuntuDupQuestions",
|
| 4 |
+
"mteb_version": "1.38.54",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"map": 0.680537,
|
| 9 |
+
"mrr": 0.795584,
|
| 10 |
+
"nAUC_map_max": 0.287229,
|
| 11 |
+
"nAUC_map_std": 0.206861,
|
| 12 |
+
"nAUC_map_diff1": 0.108193,
|
| 13 |
+
"nAUC_mrr_max": 0.426384,
|
| 14 |
+
"nAUC_mrr_std": 0.323553,
|
| 15 |
+
"nAUC_mrr_diff1": 0.20533,
|
| 16 |
+
"main_score": 0.680537,
|
| 17 |
+
"hf_subset": "default",
|
| 18 |
+
"languages": [
|
| 19 |
+
"eng-Latn"
|
| 20 |
+
]
|
| 21 |
+
}
|
| 22 |
+
]
|
| 23 |
+
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|
| 24 |
+
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|
| 25 |
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|
| 26 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/BIOSSES.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "d3fb88f8f02e40887cd149695127462bbcf29b4a",
|
| 3 |
+
"task_name": "BIOSSES",
|
| 4 |
+
"mteb_version": "1.38.54",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"pearson": 0.88695,
|
| 9 |
+
"spearman": 0.866225,
|
| 10 |
+
"cosine_pearson": 0.88695,
|
| 11 |
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"cosine_spearman": 0.866225,
|
| 12 |
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"manhattan_pearson": 0.872367,
|
| 13 |
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"manhattan_spearman": 0.868231,
|
| 14 |
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"euclidean_pearson": 0.873196,
|
| 15 |
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"euclidean_spearman": 0.866225,
|
| 16 |
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"main_score": 0.866225,
|
| 17 |
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"hf_subset": "default",
|
| 18 |
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"languages": [
|
| 19 |
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"eng-Latn"
|
| 20 |
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]
|
| 21 |
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}
|
| 22 |
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]
|
| 23 |
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},
|
| 24 |
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"evaluation_time": 1.5783390998840332,
|
| 25 |
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|
| 26 |
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}
|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/Banking77Classification.json
ADDED
|
@@ -0,0 +1,73 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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| 1 |
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| 69 |
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results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/BiorxivClusteringP2P.v2.json
ADDED
|
@@ -0,0 +1,34 @@
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| 1 |
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{
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| 2 |
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| 3 |
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|
| 4 |
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| 5 |
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| 28 |
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| 30 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/CEDRClassification.json
ADDED
|
@@ -0,0 +1,73 @@
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| 5 |
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| 15 |
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|
| 26 |
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| 27 |
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| 28 |
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|
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| 30 |
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|
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| 35 |
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| 37 |
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|
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|
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|
| 54 |
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|
| 55 |
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|
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| 57 |
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| 65 |
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|
| 67 |
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| 68 |
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| 69 |
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|
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|
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/CQADupstackGamingRetrieval.json
ADDED
|
@@ -0,0 +1,158 @@
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| 1 |
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{
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results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/CQADupstackUnixRetrieval.json
ADDED
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@@ -0,0 +1,158 @@
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| 135 |
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| 136 |
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| 137 |
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|
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|
| 139 |
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|
| 140 |
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| 141 |
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| 142 |
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|
| 143 |
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|
| 144 |
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| 145 |
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| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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| 158 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/ClimateFEVERHardNegatives.json
ADDED
|
@@ -0,0 +1,158 @@
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| 1 |
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{
|
| 2 |
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| 3 |
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|
| 4 |
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| 5 |
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| 6 |
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| 7 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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"evaluation_time": 747.1629600524902,
|
| 157 |
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|
| 158 |
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}
|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/FEVERHardNegatives.json
ADDED
|
@@ -0,0 +1,158 @@
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|
| 1 |
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|
| 2 |
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|
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| 5 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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| 156 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/FiQA2018.json
ADDED
|
@@ -0,0 +1,158 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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| 7 |
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|
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| 150 |
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| 151 |
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|
| 152 |
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| 153 |
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|
| 154 |
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| 155 |
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| 156 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/GeoreviewClassification.json
ADDED
|
@@ -0,0 +1,73 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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| 9 |
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| 10 |
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|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 20 |
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|
| 21 |
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| 22 |
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| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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| 28 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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{
|
| 33 |
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|
| 34 |
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|
| 35 |
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| 36 |
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|
| 37 |
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| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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{
|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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| 58 |
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|
| 59 |
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|
| 60 |
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| 61 |
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| 62 |
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| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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| 73 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/GeoreviewClusteringP2P.json
ADDED
|
@@ -0,0 +1,34 @@
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|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "97a313c8fc85b47f13f33e7e9a95c1ad888c7fec",
|
| 3 |
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"task_name": "GeoreviewClusteringP2P",
|
| 4 |
+
"mteb_version": "1.38.57",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
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{
|
| 8 |
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"v_measures": {
|
| 9 |
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"Level 0": [
|
| 10 |
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|
| 11 |
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0.732506,
|
| 12 |
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0.747313,
|
| 13 |
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0.743703,
|
| 14 |
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0.732956,
|
| 15 |
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0.738114,
|
| 16 |
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0.731008,
|
| 17 |
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0.742677,
|
| 18 |
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0.732183,
|
| 19 |
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0.734907
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/HeadlineClassification.json
ADDED
|
@@ -0,0 +1,73 @@
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|
| 1 |
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{
|
| 2 |
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| 3 |
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| 4 |
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| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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|
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|
| 10 |
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|
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|
| 12 |
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|
| 14 |
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|
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| 26 |
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| 27 |
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|
| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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|
| 35 |
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| 36 |
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|
| 37 |
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| 38 |
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|
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
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| 47 |
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|
| 50 |
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|
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|
| 52 |
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|
| 53 |
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|
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|
| 55 |
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|
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|
| 57 |
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| 58 |
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| 60 |
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| 61 |
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| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/HotpotQAHardNegatives.json
ADDED
|
@@ -0,0 +1,158 @@
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|
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|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
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| 20 |
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| 21 |
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| 23 |
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| 24 |
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| 26 |
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| 27 |
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|
| 28 |
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| 29 |
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| 30 |
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|
| 31 |
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| 32 |
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|
| 33 |
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|
| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 42 |
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| 60 |
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|
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|
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|
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
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|
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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"nauc_mrr_at_1000_diff1": 0.649016,
|
| 148 |
+
"main_score": 0.71302,
|
| 149 |
+
"hf_subset": "default",
|
| 150 |
+
"languages": [
|
| 151 |
+
"eng-Latn"
|
| 152 |
+
]
|
| 153 |
+
}
|
| 154 |
+
]
|
| 155 |
+
},
|
| 156 |
+
"evaluation_time": 1072.72376871109,
|
| 157 |
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"kg_co2_emissions": null
|
| 158 |
+
}
|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/ImdbClassification.json
ADDED
|
@@ -0,0 +1,95 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "3d86128a09e091d6018b6d26cad27f2739fc2db7",
|
| 3 |
+
"task_name": "ImdbClassification",
|
| 4 |
+
"mteb_version": "1.38.54",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"accuracy": 0.96714,
|
| 9 |
+
"f1": 0.967139,
|
| 10 |
+
"f1_weighted": 0.967139,
|
| 11 |
+
"ap": 0.951243,
|
| 12 |
+
"ap_weighted": 0.951243,
|
| 13 |
+
"scores_per_experiment": [
|
| 14 |
+
{
|
| 15 |
+
"accuracy": 0.9674,
|
| 16 |
+
"f1": 0.967399,
|
| 17 |
+
"f1_weighted": 0.967399,
|
| 18 |
+
"ap": 0.954906,
|
| 19 |
+
"ap_weighted": 0.954906
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"accuracy": 0.96704,
|
| 23 |
+
"f1": 0.967038,
|
| 24 |
+
"f1_weighted": 0.967038,
|
| 25 |
+
"ap": 0.955013,
|
| 26 |
+
"ap_weighted": 0.955013
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"accuracy": 0.96656,
|
| 30 |
+
"f1": 0.966558,
|
| 31 |
+
"f1_weighted": 0.966558,
|
| 32 |
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"ap": 0.94753,
|
| 33 |
+
"ap_weighted": 0.94753
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"accuracy": 0.96772,
|
| 37 |
+
"f1": 0.96772,
|
| 38 |
+
"f1_weighted": 0.96772,
|
| 39 |
+
"ap": 0.95292,
|
| 40 |
+
"ap_weighted": 0.95292
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"accuracy": 0.96792,
|
| 44 |
+
"f1": 0.96792,
|
| 45 |
+
"f1_weighted": 0.96792,
|
| 46 |
+
"ap": 0.953225,
|
| 47 |
+
"ap_weighted": 0.953225
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"accuracy": 0.96772,
|
| 51 |
+
"f1": 0.96772,
|
| 52 |
+
"f1_weighted": 0.96772,
|
| 53 |
+
"ap": 0.953907,
|
| 54 |
+
"ap_weighted": 0.953907
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"accuracy": 0.9666,
|
| 58 |
+
"f1": 0.966599,
|
| 59 |
+
"f1_weighted": 0.966599,
|
| 60 |
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"ap": 0.948519,
|
| 61 |
+
"ap_weighted": 0.948519
|
| 62 |
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},
|
| 63 |
+
{
|
| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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|
| 77 |
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| 78 |
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|
| 79 |
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|
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| 82 |
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| 83 |
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|
| 84 |
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| 85 |
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| 86 |
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|
| 87 |
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| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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| 95 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/InappropriatenessClassification.json
ADDED
|
@@ -0,0 +1,95 @@
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| 1 |
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{
|
| 2 |
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"dataset_revision": "601651fdc45ef243751676e62dd7a19f491c0285",
|
| 3 |
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|
| 4 |
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| 5 |
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| 6 |
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| 14 |
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| 15 |
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| 16 |
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| 20 |
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| 21 |
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| 22 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 36 |
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| 38 |
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| 39 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 48 |
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| 49 |
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| 50 |
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| 53 |
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| 56 |
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| 58 |
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| 60 |
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| 63 |
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| 64 |
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| 66 |
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| 67 |
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| 68 |
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|
| 69 |
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|
| 70 |
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| 71 |
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| 75 |
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|
| 76 |
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|
| 77 |
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| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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"main_score": 0.86123,
|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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"evaluation_time": 12.443005323410034,
|
| 94 |
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|
| 95 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/KinopoiskClassification.json
ADDED
|
@@ -0,0 +1,73 @@
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|
| 1 |
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{
|
| 2 |
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"dataset_revision": "5911f26666ac11af46cb9c6849d0dc80a378af24",
|
| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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| 7 |
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| 9 |
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| 12 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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|
| 35 |
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| 36 |
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| 37 |
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| 38 |
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|
| 39 |
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| 40 |
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| 42 |
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| 52 |
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| 54 |
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|
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|
| 65 |
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| 66 |
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|
| 67 |
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|
| 68 |
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| 69 |
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| 70 |
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| 71 |
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|
| 72 |
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| 73 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MIRACLReranking.json
ADDED
|
@@ -0,0 +1,130 @@
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|
| 1 |
+
{
|
| 2 |
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"dataset_revision": "6d1962c527217f8927fca80f890f14f36b2802af",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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|
| 21 |
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| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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|
| 27 |
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|
| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MIRACLRetrieval.json
ADDED
|
@@ -0,0 +1,158 @@
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|
| 130 |
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|
| 131 |
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|
| 132 |
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| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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| 157 |
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| 158 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MTOPDomainClassification.json
ADDED
|
@@ -0,0 +1,137 @@
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| 1 |
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{
|
| 2 |
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"dataset_revision": "d80d48c1eb48d3562165c59d59d0034df9fff0bf",
|
| 3 |
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| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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| 21 |
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| 23 |
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| 27 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 36 |
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| 37 |
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| 41 |
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| 42 |
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| 61 |
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| 62 |
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| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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"test": [
|
| 71 |
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{
|
| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
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| 85 |
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| 86 |
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| 91 |
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| 106 |
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| 116 |
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|
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|
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| 126 |
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|
| 129 |
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| 130 |
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|
| 131 |
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| 132 |
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|
| 133 |
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| 134 |
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|
| 135 |
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|
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MassiveIntentClassification.json
ADDED
|
@@ -0,0 +1,261 @@
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|
| 1 |
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{
|
| 2 |
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"dataset_revision": "4672e20407010da34463acc759c162ca9734bca6",
|
| 3 |
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"task_name": "MassiveIntentClassification",
|
| 4 |
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"mteb_version": "1.38.57",
|
| 5 |
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"scores": {
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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{
|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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{
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| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
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|
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| 46 |
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|
| 47 |
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|
| 48 |
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results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MassiveScenarioClassification.json
ADDED
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@@ -0,0 +1,261 @@
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results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MedrxivClusteringP2P.v2.json
ADDED
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@@ -0,0 +1,34 @@
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results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MedrxivClusteringS2S.v2.json
ADDED
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@@ -0,0 +1,34 @@
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| 4 |
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results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/MindSmallReranking.json
ADDED
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@@ -0,0 +1,26 @@
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{
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| 3 |
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| 5 |
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results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RUParaPhraserSTS.json
ADDED
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@@ -0,0 +1,26 @@
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| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 19 |
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| 20 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RiaNewsRetrieval.json
ADDED
|
@@ -0,0 +1,158 @@
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 21 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 30 |
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|
| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 103 |
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| 114 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
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|
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|
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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| 134 |
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| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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"languages": [
|
| 151 |
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|
| 152 |
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|
| 153 |
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}
|
| 154 |
+
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|
| 155 |
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|
| 156 |
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|
| 157 |
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| 158 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuBQReranking.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "2e96b8f098fa4b0950fc58eacadeb31c0d0c7fa2",
|
| 3 |
+
"task_name": "RuBQReranking",
|
| 4 |
+
"mteb_version": "1.38.57",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"map": 0.805069,
|
| 9 |
+
"mrr": 0.853418,
|
| 10 |
+
"nAUC_map_max": 0.250821,
|
| 11 |
+
"nAUC_map_std": 0.108367,
|
| 12 |
+
"nAUC_map_diff1": 0.437434,
|
| 13 |
+
"nAUC_mrr_max": 0.382287,
|
| 14 |
+
"nAUC_mrr_std": 0.200768,
|
| 15 |
+
"nAUC_mrr_diff1": 0.539157,
|
| 16 |
+
"main_score": 0.805069,
|
| 17 |
+
"hf_subset": "default",
|
| 18 |
+
"languages": [
|
| 19 |
+
"rus-Cyrl"
|
| 20 |
+
]
|
| 21 |
+
}
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
+
"evaluation_time": 279.6446485519409,
|
| 25 |
+
"kg_co2_emissions": null
|
| 26 |
+
}
|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuBQRetrieval.json
ADDED
|
@@ -0,0 +1,158 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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"dataset_revision": "e19b6ffa60b3bc248e0b41f4cc37c26a55c2a67b",
|
| 3 |
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|
| 4 |
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|
| 5 |
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"scores": {
|
| 6 |
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|
| 7 |
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{
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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"map_at_100": 0.746,
|
| 21 |
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"map_at_1000": 0.74607,
|
| 22 |
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| 23 |
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|
| 24 |
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| 25 |
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| 26 |
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| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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| 32 |
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|
| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 39 |
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| 50 |
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| 54 |
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| 56 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 67 |
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|
| 69 |
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|
| 70 |
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| 71 |
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| 72 |
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| 80 |
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| 82 |
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| 83 |
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| 86 |
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| 88 |
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| 89 |
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|
| 90 |
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| 92 |
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| 93 |
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| 94 |
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|
| 95 |
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|
| 96 |
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| 97 |
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| 100 |
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| 101 |
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|
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|
| 103 |
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|
| 104 |
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|
| 105 |
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| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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| 117 |
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| 118 |
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| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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"languages": [
|
| 151 |
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"rus-Cyrl"
|
| 152 |
+
]
|
| 153 |
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}
|
| 154 |
+
]
|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuReviewsClassification.json
ADDED
|
@@ -0,0 +1,73 @@
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|
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|
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|
|
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|
|
|
|
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|
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|
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|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "f6d2c31f4dc6b88f468552750bfec05b4b41b05a",
|
| 3 |
+
"task_name": "RuReviewsClassification",
|
| 4 |
+
"mteb_version": "1.38.57",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
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{
|
| 8 |
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"accuracy": 0.762891,
|
| 9 |
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"f1": 0.76229,
|
| 10 |
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"f1_weighted": 0.762302,
|
| 11 |
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"scores_per_experiment": [
|
| 12 |
+
{
|
| 13 |
+
"accuracy": 0.775879,
|
| 14 |
+
"f1": 0.777665,
|
| 15 |
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|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
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"accuracy": 0.760254,
|
| 19 |
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|
| 20 |
+
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|
| 21 |
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},
|
| 22 |
+
{
|
| 23 |
+
"accuracy": 0.748047,
|
| 24 |
+
"f1": 0.745747,
|
| 25 |
+
"f1_weighted": 0.745761
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"accuracy": 0.758789,
|
| 29 |
+
"f1": 0.753942,
|
| 30 |
+
"f1_weighted": 0.753945
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"accuracy": 0.768555,
|
| 34 |
+
"f1": 0.770784,
|
| 35 |
+
"f1_weighted": 0.770797
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"accuracy": 0.753418,
|
| 39 |
+
"f1": 0.753748,
|
| 40 |
+
"f1_weighted": 0.753764
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"accuracy": 0.773926,
|
| 44 |
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"f1": 0.775141,
|
| 45 |
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"f1_weighted": 0.775148
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
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"accuracy": 0.768066,
|
| 49 |
+
"f1": 0.771913,
|
| 50 |
+
"f1_weighted": 0.771928
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"accuracy": 0.759766,
|
| 54 |
+
"f1": 0.75247,
|
| 55 |
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"f1_weighted": 0.752465
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"accuracy": 0.762207,
|
| 59 |
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"f1": 0.761355,
|
| 60 |
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"f1_weighted": 0.761389
|
| 61 |
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}
|
| 62 |
+
],
|
| 63 |
+
"main_score": 0.762891,
|
| 64 |
+
"hf_subset": "default",
|
| 65 |
+
"languages": [
|
| 66 |
+
"rus-Cyrl"
|
| 67 |
+
]
|
| 68 |
+
}
|
| 69 |
+
]
|
| 70 |
+
},
|
| 71 |
+
"evaluation_time": 15.764366626739502,
|
| 72 |
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"kg_co2_emissions": null
|
| 73 |
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}
|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuSTSBenchmarkSTS.json
ADDED
|
@@ -0,0 +1,43 @@
|
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|
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|
|
|
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|
|
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|
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|
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|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "7cf24f325c6da6195df55bef3d86b5e0616f3018",
|
| 3 |
+
"task_name": "RuSTSBenchmarkSTS",
|
| 4 |
+
"mteb_version": "1.38.57",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"pearson": 0.84156,
|
| 9 |
+
"spearman": 0.836191,
|
| 10 |
+
"cosine_pearson": 0.84156,
|
| 11 |
+
"cosine_spearman": 0.836191,
|
| 12 |
+
"manhattan_pearson": 0.823399,
|
| 13 |
+
"manhattan_spearman": 0.831354,
|
| 14 |
+
"euclidean_pearson": 0.825468,
|
| 15 |
+
"euclidean_spearman": 0.833349,
|
| 16 |
+
"main_score": 0.836191,
|
| 17 |
+
"hf_subset": "default",
|
| 18 |
+
"languages": [
|
| 19 |
+
"rus-Cyrl"
|
| 20 |
+
]
|
| 21 |
+
}
|
| 22 |
+
],
|
| 23 |
+
"validation": [
|
| 24 |
+
{
|
| 25 |
+
"pearson": 0.872761,
|
| 26 |
+
"spearman": 0.872736,
|
| 27 |
+
"cosine_pearson": 0.872761,
|
| 28 |
+
"cosine_spearman": 0.872736,
|
| 29 |
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"manhattan_pearson": 0.852738,
|
| 30 |
+
"manhattan_spearman": 0.868297,
|
| 31 |
+
"euclidean_pearson": 0.854332,
|
| 32 |
+
"euclidean_spearman": 0.869693,
|
| 33 |
+
"main_score": 0.872736,
|
| 34 |
+
"hf_subset": "default",
|
| 35 |
+
"languages": [
|
| 36 |
+
"rus-Cyrl"
|
| 37 |
+
]
|
| 38 |
+
}
|
| 39 |
+
]
|
| 40 |
+
},
|
| 41 |
+
"evaluation_time": 13.169244050979614,
|
| 42 |
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"kg_co2_emissions": null
|
| 43 |
+
}
|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuSciBenchGRNTIClassification.json
ADDED
|
@@ -0,0 +1,73 @@
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|
| 1 |
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| 2 |
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| 3 |
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results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuSciBenchGRNTIClusteringP2P.json
ADDED
|
@@ -0,0 +1,34 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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"task_name": "RuSciBenchGRNTIClusteringP2P",
|
| 4 |
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|
| 5 |
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| 6 |
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| 9 |
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| 10 |
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results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuSciBenchOECDClassification.json
ADDED
|
@@ -0,0 +1,73 @@
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|
| 1 |
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{
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| 3 |
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| 4 |
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|
| 5 |
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| 6 |
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| 24 |
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| 26 |
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| 30 |
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| 32 |
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| 33 |
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| 51 |
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| 52 |
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| 53 |
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| 67 |
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| 69 |
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| 70 |
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results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/RuSciBenchOECDClusteringP2P.json
ADDED
|
@@ -0,0 +1,34 @@
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|
|
| 1 |
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{
|
| 2 |
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"dataset_revision": "26c88e99dcaba32bb45d0e1bfc21902337f6d471",
|
| 3 |
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"task_name": "RuSciBenchOECDClusteringP2P",
|
| 4 |
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"mteb_version": "1.38.57",
|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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| 11 |
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| 12 |
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| 26 |
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| 27 |
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|
| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 34 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/SCIDOCS.json
ADDED
|
@@ -0,0 +1,158 @@
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|
| 1 |
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{
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|
| 30 |
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| 143 |
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|
| 146 |
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| 147 |
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| 148 |
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|
| 150 |
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| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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| 156 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/SICK-R.json
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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|
| 10 |
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| 11 |
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| 12 |
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| 15 |
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| 16 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STS12.json
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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|
| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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|
| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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|
| 16 |
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| 17 |
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| 18 |
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| 19 |
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|
| 20 |
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]
|
| 21 |
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}
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STS13.json
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
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{
|
| 2 |
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| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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{
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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]
|
| 21 |
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}
|
| 22 |
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|
| 23 |
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| 24 |
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|
| 25 |
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| 26 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STS14.json
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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"scores": {
|
| 6 |
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|
| 7 |
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{
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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]
|
| 21 |
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}
|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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| 26 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STS15.json
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
+
}
|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STS17.json
ADDED
|
@@ -0,0 +1,138 @@
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| 1 |
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{
|
| 2 |
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"dataset_revision": "faeb762787bd10488a50c8b5be4a3b82e411949c",
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| 3 |
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|
| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 18 |
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|
| 19 |
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| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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| 38 |
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| 39 |
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|
| 40 |
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| 41 |
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| 45 |
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| 47 |
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| 49 |
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| 50 |
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| 51 |
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|
| 52 |
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| 53 |
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|
| 54 |
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{
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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{
|
| 71 |
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|
| 72 |
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|
| 73 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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| 87 |
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| 88 |
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| 89 |
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| 96 |
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| 97 |
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|
| 98 |
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| 99 |
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|
| 100 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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| 117 |
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| 118 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 129 |
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|
| 130 |
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| 131 |
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|
| 132 |
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| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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| 138 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STS22.json
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
+
{
|
| 2 |
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"dataset_revision": "de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3",
|
| 3 |
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"task_name": "STS22",
|
| 4 |
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"mteb_version": "1.38.57",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
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{
|
| 8 |
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|
| 9 |
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"spearman": 0.653029,
|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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"euclidean_pearson": 0.604087,
|
| 15 |
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"euclidean_spearman": 0.636427,
|
| 16 |
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|
| 17 |
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"hf_subset": "ru",
|
| 18 |
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"languages": [
|
| 19 |
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"rus-Cyrl"
|
| 20 |
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]
|
| 21 |
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}
|
| 22 |
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]
|
| 23 |
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},
|
| 24 |
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"evaluation_time": 16.25291347503662,
|
| 25 |
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|
| 26 |
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|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STS22.v2.json
ADDED
|
@@ -0,0 +1,90 @@
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|
| 1 |
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{
|
| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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|
| 19 |
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| 20 |
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|
| 21 |
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|
| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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{
|
| 39 |
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|
| 40 |
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|
| 41 |
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| 42 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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{
|
| 55 |
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|
| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 62 |
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| 63 |
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| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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{
|
| 71 |
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|
| 72 |
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"spearman": 0.730539,
|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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"main_score": 0.730539,
|
| 80 |
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"hf_subset": "zh-en",
|
| 81 |
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|
| 82 |
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"cmn-Hans",
|
| 83 |
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"eng-Latn"
|
| 84 |
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]
|
| 85 |
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}
|
| 86 |
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]
|
| 87 |
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},
|
| 88 |
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"evaluation_time": 85.90044093132019,
|
| 89 |
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|
| 90 |
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}
|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/STSBenchmark.json
ADDED
|
@@ -0,0 +1,26 @@
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|
|
|
|
|
|
|
|
|
|
|
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| 1 |
+
{
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| 2 |
+
"dataset_revision": "b0fddb56ed78048fa8b90373c8a3cfc37b684831",
|
| 3 |
+
"task_name": "STSBenchmark",
|
| 4 |
+
"mteb_version": "1.38.54",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"pearson": 0.866535,
|
| 9 |
+
"spearman": 0.871684,
|
| 10 |
+
"cosine_pearson": 0.866535,
|
| 11 |
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"cosine_spearman": 0.871684,
|
| 12 |
+
"manhattan_pearson": 0.867797,
|
| 13 |
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"manhattan_spearman": 0.870973,
|
| 14 |
+
"euclidean_pearson": 0.868802,
|
| 15 |
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"euclidean_spearman": 0.871684,
|
| 16 |
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"main_score": 0.871684,
|
| 17 |
+
"hf_subset": "default",
|
| 18 |
+
"languages": [
|
| 19 |
+
"eng-Latn"
|
| 20 |
+
]
|
| 21 |
+
}
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
+
"evaluation_time": 12.40483808517456,
|
| 25 |
+
"kg_co2_emissions": null
|
| 26 |
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}
|
results/ai-sage__Giga-Embeddings-instruct/0ad5b29bfecd806cecc9d66b927d828a736594dc/SensitiveTopicsClassification.json
ADDED
|
@@ -0,0 +1,73 @@
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|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "416b34a802308eac30e4192afc0ff99bb8dcc7f2",
|
| 3 |
+
"task_name": "SensitiveTopicsClassification",
|
| 4 |
+
"mteb_version": "1.38.57",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"accuracy": 0.443359,
|
| 9 |
+
"f1": 0.602443,
|
| 10 |
+
"lrap": 0.703086,
|
| 11 |
+
"scores_per_experiment": [
|
| 12 |
+
{
|
| 13 |
+
"accuracy": 0.461426,
|
| 14 |
+
"f1": 0.615468,
|
| 15 |
+
"lrap": 0.701565
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"accuracy": 0.445312,
|
| 19 |
+
"f1": 0.607365,
|
| 20 |
+
"lrap": 0.711012
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"accuracy": 0.434082,
|
| 24 |
+
"f1": 0.605378,
|
| 25 |
+
"lrap": 0.705661
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"accuracy": 0.451172,
|
| 29 |
+
"f1": 0.610448,
|
| 30 |
+
"lrap": 0.702284
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"accuracy": 0.438477,
|
| 34 |
+
"f1": 0.599552,
|
| 35 |
+
"lrap": 0.705973
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"accuracy": 0.433105,
|
| 39 |
+
"f1": 0.600459,
|
| 40 |
+
"lrap": 0.692803
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"accuracy": 0.449219,
|
| 44 |
+
"f1": 0.608942,
|
| 45 |
+
"lrap": 0.702386
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"accuracy": 0.443848,
|
| 49 |
+
"f1": 0.59296,
|
| 50 |
+
"lrap": 0.702813
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"accuracy": 0.450684,
|
| 54 |
+
"f1": 0.591335,
|
| 55 |
+
"lrap": 0.696737
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"accuracy": 0.42627,
|
| 59 |
+
"f1": 0.592525,
|
| 60 |
+
"lrap": 0.709622
|
| 61 |
+
}
|
| 62 |
+
],
|
| 63 |
+
"main_score": 0.443359,
|
| 64 |
+
"hf_subset": "default",
|
| 65 |
+
"languages": [
|
| 66 |
+
"rus-Cyrl"
|
| 67 |
+
]
|
| 68 |
+
}
|
| 69 |
+
]
|
| 70 |
+
},
|
| 71 |
+
"evaluation_time": 43.64556360244751,
|
| 72 |
+
"kg_co2_emissions": null
|
| 73 |
+
}
|