Sentence Similarity
sentence-transformers
PyTorch
Transformers
English
t5
text-embedding
embeddings
information-retrieval
beir
text-classification
language-model
text-clustering
text-semantic-similarity
text-evaluation
prompt-retrieval
text-reranking
feature-extraction
English
Sentence Similarity
natural_questions
ms_marco
fever
hotpot_qa
mteb
Eval Results
Commit
•
47a2cb1
1
Parent(s):
2400f9e
Update README.md
Browse files
README.md
CHANGED
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@@ -23,9 +23,2505 @@ tags:
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- ms_marco
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- fever
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- hotpot_qa
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language: en
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inference: false
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license: apache-2.0
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| 29 |
---
|
| 30 |
|
| 31 |
# hkunlp/instructor-xl
|
|
|
|
| 23 |
- ms_marco
|
| 24 |
- fever
|
| 25 |
- hotpot_qa
|
| 26 |
+
- mteb
|
| 27 |
language: en
|
| 28 |
inference: false
|
| 29 |
license: apache-2.0
|
| 30 |
+
model-index:
|
| 31 |
+
- name: final_xl_results
|
| 32 |
+
results:
|
| 33 |
+
- task:
|
| 34 |
+
type: Classification
|
| 35 |
+
dataset:
|
| 36 |
+
type: mteb/amazon_counterfactual
|
| 37 |
+
name: MTEB AmazonCounterfactualClassification (en)
|
| 38 |
+
config: en
|
| 39 |
+
split: test
|
| 40 |
+
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
|
| 41 |
+
metrics:
|
| 42 |
+
- type: accuracy
|
| 43 |
+
value: 85.08955223880596
|
| 44 |
+
- type: ap
|
| 45 |
+
value: 52.66066378722476
|
| 46 |
+
- type: f1
|
| 47 |
+
value: 79.63340218960269
|
| 48 |
+
- task:
|
| 49 |
+
type: Classification
|
| 50 |
+
dataset:
|
| 51 |
+
type: mteb/amazon_polarity
|
| 52 |
+
name: MTEB AmazonPolarityClassification
|
| 53 |
+
config: default
|
| 54 |
+
split: test
|
| 55 |
+
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
|
| 56 |
+
metrics:
|
| 57 |
+
- type: accuracy
|
| 58 |
+
value: 86.542
|
| 59 |
+
- type: ap
|
| 60 |
+
value: 81.92695193008987
|
| 61 |
+
- type: f1
|
| 62 |
+
value: 86.51466132573681
|
| 63 |
+
- task:
|
| 64 |
+
type: Classification
|
| 65 |
+
dataset:
|
| 66 |
+
type: mteb/amazon_reviews_multi
|
| 67 |
+
name: MTEB AmazonReviewsClassification (en)
|
| 68 |
+
config: en
|
| 69 |
+
split: test
|
| 70 |
+
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
|
| 71 |
+
metrics:
|
| 72 |
+
- type: accuracy
|
| 73 |
+
value: 42.964
|
| 74 |
+
- type: f1
|
| 75 |
+
value: 41.43146249774862
|
| 76 |
+
- task:
|
| 77 |
+
type: Retrieval
|
| 78 |
+
dataset:
|
| 79 |
+
type: arguana
|
| 80 |
+
name: MTEB ArguAna
|
| 81 |
+
config: default
|
| 82 |
+
split: test
|
| 83 |
+
revision: None
|
| 84 |
+
metrics:
|
| 85 |
+
- type: map_at_1
|
| 86 |
+
value: 29.872
|
| 87 |
+
- type: map_at_10
|
| 88 |
+
value: 46.342
|
| 89 |
+
- type: map_at_100
|
| 90 |
+
value: 47.152
|
| 91 |
+
- type: map_at_1000
|
| 92 |
+
value: 47.154
|
| 93 |
+
- type: map_at_3
|
| 94 |
+
value: 41.216
|
| 95 |
+
- type: map_at_5
|
| 96 |
+
value: 44.035999999999994
|
| 97 |
+
- type: mrr_at_1
|
| 98 |
+
value: 30.939
|
| 99 |
+
- type: mrr_at_10
|
| 100 |
+
value: 46.756
|
| 101 |
+
- type: mrr_at_100
|
| 102 |
+
value: 47.573
|
| 103 |
+
- type: mrr_at_1000
|
| 104 |
+
value: 47.575
|
| 105 |
+
- type: mrr_at_3
|
| 106 |
+
value: 41.548
|
| 107 |
+
- type: mrr_at_5
|
| 108 |
+
value: 44.425
|
| 109 |
+
- type: ndcg_at_1
|
| 110 |
+
value: 29.872
|
| 111 |
+
- type: ndcg_at_10
|
| 112 |
+
value: 55.65
|
| 113 |
+
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|
| 114 |
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value: 58.88099999999999
|
| 115 |
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|
| 116 |
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value: 58.951
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| 117 |
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| 118 |
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value: 45.0
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| 119 |
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| 120 |
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value: 50.09
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| 122 |
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value: 29.872
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| 123 |
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| 124 |
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value: 8.549
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| 125 |
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| 126 |
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value: 0.991
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| 127 |
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| 128 |
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value: 0.1
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value: 18.658
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| 131 |
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| 132 |
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value: 13.669999999999998
|
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|
| 134 |
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value: 29.872
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| 135 |
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|
| 136 |
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value: 85.491
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| 137 |
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|
| 138 |
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value: 99.075
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| 139 |
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|
| 140 |
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value: 99.644
|
| 141 |
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|
| 142 |
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value: 55.974000000000004
|
| 143 |
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|
| 144 |
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value: 68.35
|
| 145 |
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|
| 146 |
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type: Clustering
|
| 147 |
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dataset:
|
| 148 |
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type: mteb/arxiv-clustering-p2p
|
| 149 |
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name: MTEB ArxivClusteringP2P
|
| 150 |
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config: default
|
| 151 |
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split: test
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| 152 |
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revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
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|
| 154 |
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- type: v_measure
|
| 155 |
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value: 42.452729850641276
|
| 156 |
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- task:
|
| 157 |
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type: Clustering
|
| 158 |
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dataset:
|
| 159 |
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type: mteb/arxiv-clustering-s2s
|
| 160 |
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name: MTEB ArxivClusteringS2S
|
| 161 |
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config: default
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| 162 |
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split: test
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| 163 |
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revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
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metrics:
|
| 165 |
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- type: v_measure
|
| 166 |
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value: 32.21141846480423
|
| 167 |
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- task:
|
| 168 |
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type: Reranking
|
| 169 |
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dataset:
|
| 170 |
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type: mteb/askubuntudupquestions-reranking
|
| 171 |
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name: MTEB AskUbuntuDupQuestions
|
| 172 |
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config: default
|
| 173 |
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split: test
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| 174 |
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revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
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|
| 176 |
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- type: map
|
| 177 |
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value: 65.34710928952622
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value: 77.61124301983028
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|
| 181 |
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type: STS
|
| 182 |
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dataset:
|
| 183 |
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type: mteb/biosses-sts
|
| 184 |
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name: MTEB BIOSSES
|
| 185 |
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config: default
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| 186 |
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split: test
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| 187 |
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revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
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| 188 |
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metrics:
|
| 189 |
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- type: cos_sim_spearman
|
| 190 |
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value: 84.15312230525639
|
| 191 |
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- task:
|
| 192 |
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type: Classification
|
| 193 |
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dataset:
|
| 194 |
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type: mteb/banking77
|
| 195 |
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name: MTEB Banking77Classification
|
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config: default
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split: test
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| 198 |
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revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
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|
| 200 |
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- type: accuracy
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| 201 |
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value: 82.66233766233766
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| 202 |
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- type: f1
|
| 203 |
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value: 82.04175284777669
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| 204 |
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- task:
|
| 205 |
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type: Clustering
|
| 206 |
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dataset:
|
| 207 |
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type: mteb/biorxiv-clustering-p2p
|
| 208 |
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name: MTEB BiorxivClusteringP2P
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| 209 |
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config: default
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| 210 |
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split: test
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| 211 |
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revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
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metrics:
|
| 213 |
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- type: v_measure
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| 214 |
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value: 37.36697339826455
|
| 215 |
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- task:
|
| 216 |
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type: Clustering
|
| 217 |
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dataset:
|
| 218 |
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type: mteb/biorxiv-clustering-s2s
|
| 219 |
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name: MTEB BiorxivClusteringS2S
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| 220 |
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config: default
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| 221 |
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split: test
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| 222 |
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revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
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|
| 224 |
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- type: v_measure
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| 225 |
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value: 30.551241447593092
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| 226 |
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- task:
|
| 227 |
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type: Retrieval
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| 228 |
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dataset:
|
| 229 |
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type: BeIR/cqadupstack
|
| 230 |
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name: MTEB CQADupstackAndroidRetrieval
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| 231 |
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config: default
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| 232 |
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split: test
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| 233 |
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revision: None
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| 234 |
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metrics:
|
| 235 |
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- type: map_at_1
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| 236 |
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value: 36.797000000000004
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value: 48.46
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value: 49.968
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value: 50.080000000000005
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value: 44.71
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value: 46.592
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value: 45.494
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value: 54.747
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| 252 |
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value: 55.43599999999999
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value: 55.464999999999996
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value: 52.361000000000004
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value: 53.727000000000004
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value: 45.494
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| 262 |
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value: 54.989
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| 264 |
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value: 60.096000000000004
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value: 61.58
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value: 49.977
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value: 51.964999999999996
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value: 45.494
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| 274 |
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value: 10.558
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value: 1.6049999999999998
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value: 0.203
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value: 23.796
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| 282 |
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value: 16.881
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| 284 |
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value: 36.797000000000004
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| 286 |
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value: 66.83
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| 288 |
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value: 88.34100000000001
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value: 97.202
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| 292 |
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value: 51.961999999999996
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| 293 |
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- type: recall_at_5
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| 294 |
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value: 57.940000000000005
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| 295 |
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- task:
|
| 296 |
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type: Retrieval
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| 297 |
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dataset:
|
| 298 |
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type: BeIR/cqadupstack
|
| 299 |
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name: MTEB CQADupstackEnglishRetrieval
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| 300 |
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config: default
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| 301 |
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split: test
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| 302 |
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revision: None
|
| 303 |
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metrics:
|
| 304 |
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- type: map_at_1
|
| 305 |
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value: 32.597
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| 306 |
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| 307 |
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value: 43.424
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| 308 |
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| 309 |
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value: 44.78
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| 310 |
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| 311 |
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value: 44.913
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| 313 |
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value: 40.315
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| 315 |
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value: 41.987
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| 317 |
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value: 40.382
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| 318 |
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| 319 |
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value: 49.219
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| 320 |
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| 321 |
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value: 49.895
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| 322 |
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| 323 |
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value: 49.936
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| 325 |
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value: 46.996
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| 327 |
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value: 48.231
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| 329 |
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value: 40.382
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| 331 |
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value: 49.318
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| 333 |
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value: 53.839999999999996
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value: 55.82899999999999
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value: 44.914
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value: 46.798
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value: 40.382
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value: 9.274000000000001
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value: 1.497
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value: 0.198
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value: 21.592
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| 351 |
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value: 15.159
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| 353 |
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value: 32.597
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value: 59.882000000000005
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value: 78.446
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value: 90.88000000000001
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value: 46.9
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- type: recall_at_5
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| 363 |
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value: 52.222
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| 364 |
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- task:
|
| 365 |
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type: Retrieval
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| 366 |
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dataset:
|
| 367 |
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type: BeIR/cqadupstack
|
| 368 |
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name: MTEB CQADupstackGamingRetrieval
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| 369 |
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config: default
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| 370 |
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split: test
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| 371 |
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revision: None
|
| 372 |
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metrics:
|
| 373 |
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- type: map_at_1
|
| 374 |
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value: 43.8
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| 375 |
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value: 57.293000000000006
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value: 58.321
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value: 58.361
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value: 53.839999999999996
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value: 55.838
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value: 49.592000000000006
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value: 60.643
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value: 61.23499999999999
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value: 61.251999999999995
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value: 58.265
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value: 59.717
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value: 49.592000000000006
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value: 63.364
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value: 67.167
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value: 67.867
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value: 57.912
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value: 60.697
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value: 49.592000000000006
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value: 10.088
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value: 1.2930000000000001
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value: 0.13899999999999998
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value: 25.789
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value: 17.541999999999998
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value: 43.8
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value: 77.635
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value: 93.748
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- type: recall_at_1000
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value: 98.468
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| 430 |
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value: 63.223
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| 431 |
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- type: recall_at_5
|
| 432 |
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value: 70.122
|
| 433 |
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- task:
|
| 434 |
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type: Retrieval
|
| 435 |
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dataset:
|
| 436 |
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type: BeIR/cqadupstack
|
| 437 |
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name: MTEB CQADupstackGisRetrieval
|
| 438 |
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config: default
|
| 439 |
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split: test
|
| 440 |
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revision: None
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| 441 |
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metrics:
|
| 442 |
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- type: map_at_1
|
| 443 |
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value: 27.721
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| 444 |
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|
| 445 |
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value: 35.626999999999995
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value: 36.719
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value: 36.8
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| 451 |
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value: 32.781
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value: 34.333999999999996
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value: 29.604999999999997
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| 457 |
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value: 37.564
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| 458 |
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| 459 |
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value: 38.505
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| 461 |
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value: 38.565
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| 463 |
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value: 34.727000000000004
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|
| 465 |
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value: 36.207
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value: 29.604999999999997
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| 469 |
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value: 40.575
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| 471 |
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value: 45.613
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value: 47.676
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value: 34.811
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| 477 |
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value: 37.491
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value: 29.604999999999997
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| 481 |
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value: 6.1690000000000005
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value: 0.906
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value: 0.11199999999999999
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value: 14.237
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value: 10.056
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|
| 491 |
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value: 27.721
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| 493 |
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value: 54.041
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value: 76.62299999999999
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value: 92.134
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| 499 |
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value: 38.582
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| 500 |
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- type: recall_at_5
|
| 501 |
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value: 44.989000000000004
|
| 502 |
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- task:
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| 503 |
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type: Retrieval
|
| 504 |
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dataset:
|
| 505 |
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type: BeIR/cqadupstack
|
| 506 |
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name: MTEB CQADupstackMathematicaRetrieval
|
| 507 |
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config: default
|
| 508 |
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split: test
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| 509 |
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revision: None
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| 510 |
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metrics:
|
| 511 |
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- type: map_at_1
|
| 512 |
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value: 16.553
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value: 25.384
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value: 26.655
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value: 26.778000000000002
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- type: map_at_3
|
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value: 22.733
|
| 521 |
+
- type: map_at_5
|
| 522 |
+
value: 24.119
|
| 523 |
+
- type: mrr_at_1
|
| 524 |
+
value: 20.149
|
| 525 |
+
- type: mrr_at_10
|
| 526 |
+
value: 29.705
|
| 527 |
+
- type: mrr_at_100
|
| 528 |
+
value: 30.672
|
| 529 |
+
- type: mrr_at_1000
|
| 530 |
+
value: 30.737
|
| 531 |
+
- type: mrr_at_3
|
| 532 |
+
value: 27.032
|
| 533 |
+
- type: mrr_at_5
|
| 534 |
+
value: 28.369
|
| 535 |
+
- type: ndcg_at_1
|
| 536 |
+
value: 20.149
|
| 537 |
+
- type: ndcg_at_10
|
| 538 |
+
value: 30.843999999999998
|
| 539 |
+
- type: ndcg_at_100
|
| 540 |
+
value: 36.716
|
| 541 |
+
- type: ndcg_at_1000
|
| 542 |
+
value: 39.495000000000005
|
| 543 |
+
- type: ndcg_at_3
|
| 544 |
+
value: 25.918999999999997
|
| 545 |
+
- type: ndcg_at_5
|
| 546 |
+
value: 27.992
|
| 547 |
+
- type: precision_at_1
|
| 548 |
+
value: 20.149
|
| 549 |
+
- type: precision_at_10
|
| 550 |
+
value: 5.858
|
| 551 |
+
- type: precision_at_100
|
| 552 |
+
value: 1.009
|
| 553 |
+
- type: precision_at_1000
|
| 554 |
+
value: 0.13799999999999998
|
| 555 |
+
- type: precision_at_3
|
| 556 |
+
value: 12.645000000000001
|
| 557 |
+
- type: precision_at_5
|
| 558 |
+
value: 9.179
|
| 559 |
+
- type: recall_at_1
|
| 560 |
+
value: 16.553
|
| 561 |
+
- type: recall_at_10
|
| 562 |
+
value: 43.136
|
| 563 |
+
- type: recall_at_100
|
| 564 |
+
value: 68.562
|
| 565 |
+
- type: recall_at_1000
|
| 566 |
+
value: 88.208
|
| 567 |
+
- type: recall_at_3
|
| 568 |
+
value: 29.493000000000002
|
| 569 |
+
- type: recall_at_5
|
| 570 |
+
value: 34.751
|
| 571 |
+
- task:
|
| 572 |
+
type: Retrieval
|
| 573 |
+
dataset:
|
| 574 |
+
type: BeIR/cqadupstack
|
| 575 |
+
name: MTEB CQADupstackPhysicsRetrieval
|
| 576 |
+
config: default
|
| 577 |
+
split: test
|
| 578 |
+
revision: None
|
| 579 |
+
metrics:
|
| 580 |
+
- type: map_at_1
|
| 581 |
+
value: 28.000999999999998
|
| 582 |
+
- type: map_at_10
|
| 583 |
+
value: 39.004
|
| 584 |
+
- type: map_at_100
|
| 585 |
+
value: 40.461999999999996
|
| 586 |
+
- type: map_at_1000
|
| 587 |
+
value: 40.566
|
| 588 |
+
- type: map_at_3
|
| 589 |
+
value: 35.805
|
| 590 |
+
- type: map_at_5
|
| 591 |
+
value: 37.672
|
| 592 |
+
- type: mrr_at_1
|
| 593 |
+
value: 33.782000000000004
|
| 594 |
+
- type: mrr_at_10
|
| 595 |
+
value: 44.702
|
| 596 |
+
- type: mrr_at_100
|
| 597 |
+
value: 45.528
|
| 598 |
+
- type: mrr_at_1000
|
| 599 |
+
value: 45.576
|
| 600 |
+
- type: mrr_at_3
|
| 601 |
+
value: 42.14
|
| 602 |
+
- type: mrr_at_5
|
| 603 |
+
value: 43.651
|
| 604 |
+
- type: ndcg_at_1
|
| 605 |
+
value: 33.782000000000004
|
| 606 |
+
- type: ndcg_at_10
|
| 607 |
+
value: 45.275999999999996
|
| 608 |
+
- type: ndcg_at_100
|
| 609 |
+
value: 50.888
|
| 610 |
+
- type: ndcg_at_1000
|
| 611 |
+
value: 52.879
|
| 612 |
+
- type: ndcg_at_3
|
| 613 |
+
value: 40.191
|
| 614 |
+
- type: ndcg_at_5
|
| 615 |
+
value: 42.731
|
| 616 |
+
- type: precision_at_1
|
| 617 |
+
value: 33.782000000000004
|
| 618 |
+
- type: precision_at_10
|
| 619 |
+
value: 8.200000000000001
|
| 620 |
+
- type: precision_at_100
|
| 621 |
+
value: 1.287
|
| 622 |
+
- type: precision_at_1000
|
| 623 |
+
value: 0.16199999999999998
|
| 624 |
+
- type: precision_at_3
|
| 625 |
+
value: 19.185
|
| 626 |
+
- type: precision_at_5
|
| 627 |
+
value: 13.667000000000002
|
| 628 |
+
- type: recall_at_1
|
| 629 |
+
value: 28.000999999999998
|
| 630 |
+
- type: recall_at_10
|
| 631 |
+
value: 58.131
|
| 632 |
+
- type: recall_at_100
|
| 633 |
+
value: 80.869
|
| 634 |
+
- type: recall_at_1000
|
| 635 |
+
value: 93.931
|
| 636 |
+
- type: recall_at_3
|
| 637 |
+
value: 44.161
|
| 638 |
+
- type: recall_at_5
|
| 639 |
+
value: 50.592000000000006
|
| 640 |
+
- task:
|
| 641 |
+
type: Retrieval
|
| 642 |
+
dataset:
|
| 643 |
+
type: BeIR/cqadupstack
|
| 644 |
+
name: MTEB CQADupstackProgrammersRetrieval
|
| 645 |
+
config: default
|
| 646 |
+
split: test
|
| 647 |
+
revision: None
|
| 648 |
+
metrics:
|
| 649 |
+
- type: map_at_1
|
| 650 |
+
value: 28.047
|
| 651 |
+
- type: map_at_10
|
| 652 |
+
value: 38.596000000000004
|
| 653 |
+
- type: map_at_100
|
| 654 |
+
value: 40.116
|
| 655 |
+
- type: map_at_1000
|
| 656 |
+
value: 40.232
|
| 657 |
+
- type: map_at_3
|
| 658 |
+
value: 35.205
|
| 659 |
+
- type: map_at_5
|
| 660 |
+
value: 37.076
|
| 661 |
+
- type: mrr_at_1
|
| 662 |
+
value: 34.932
|
| 663 |
+
- type: mrr_at_10
|
| 664 |
+
value: 44.496
|
| 665 |
+
- type: mrr_at_100
|
| 666 |
+
value: 45.47
|
| 667 |
+
- type: mrr_at_1000
|
| 668 |
+
value: 45.519999999999996
|
| 669 |
+
- type: mrr_at_3
|
| 670 |
+
value: 41.743
|
| 671 |
+
- type: mrr_at_5
|
| 672 |
+
value: 43.352000000000004
|
| 673 |
+
- type: ndcg_at_1
|
| 674 |
+
value: 34.932
|
| 675 |
+
- type: ndcg_at_10
|
| 676 |
+
value: 44.901
|
| 677 |
+
- type: ndcg_at_100
|
| 678 |
+
value: 50.788999999999994
|
| 679 |
+
- type: ndcg_at_1000
|
| 680 |
+
value: 52.867
|
| 681 |
+
- type: ndcg_at_3
|
| 682 |
+
value: 39.449
|
| 683 |
+
- type: ndcg_at_5
|
| 684 |
+
value: 41.929
|
| 685 |
+
- type: precision_at_1
|
| 686 |
+
value: 34.932
|
| 687 |
+
- type: precision_at_10
|
| 688 |
+
value: 8.311
|
| 689 |
+
- type: precision_at_100
|
| 690 |
+
value: 1.3050000000000002
|
| 691 |
+
- type: precision_at_1000
|
| 692 |
+
value: 0.166
|
| 693 |
+
- type: precision_at_3
|
| 694 |
+
value: 18.836
|
| 695 |
+
- type: precision_at_5
|
| 696 |
+
value: 13.447000000000001
|
| 697 |
+
- type: recall_at_1
|
| 698 |
+
value: 28.047
|
| 699 |
+
- type: recall_at_10
|
| 700 |
+
value: 57.717
|
| 701 |
+
- type: recall_at_100
|
| 702 |
+
value: 82.182
|
| 703 |
+
- type: recall_at_1000
|
| 704 |
+
value: 95.82000000000001
|
| 705 |
+
- type: recall_at_3
|
| 706 |
+
value: 42.448
|
| 707 |
+
- type: recall_at_5
|
| 708 |
+
value: 49.071
|
| 709 |
+
- task:
|
| 710 |
+
type: Retrieval
|
| 711 |
+
dataset:
|
| 712 |
+
type: BeIR/cqadupstack
|
| 713 |
+
name: MTEB CQADupstackRetrieval
|
| 714 |
+
config: default
|
| 715 |
+
split: test
|
| 716 |
+
revision: None
|
| 717 |
+
metrics:
|
| 718 |
+
- type: map_at_1
|
| 719 |
+
value: 27.861250000000005
|
| 720 |
+
- type: map_at_10
|
| 721 |
+
value: 37.529583333333335
|
| 722 |
+
- type: map_at_100
|
| 723 |
+
value: 38.7915
|
| 724 |
+
- type: map_at_1000
|
| 725 |
+
value: 38.90558333333335
|
| 726 |
+
- type: map_at_3
|
| 727 |
+
value: 34.57333333333333
|
| 728 |
+
- type: map_at_5
|
| 729 |
+
value: 36.187166666666656
|
| 730 |
+
- type: mrr_at_1
|
| 731 |
+
value: 32.88291666666666
|
| 732 |
+
- type: mrr_at_10
|
| 733 |
+
value: 41.79750000000001
|
| 734 |
+
- type: mrr_at_100
|
| 735 |
+
value: 42.63183333333333
|
| 736 |
+
- type: mrr_at_1000
|
| 737 |
+
value: 42.68483333333333
|
| 738 |
+
- type: mrr_at_3
|
| 739 |
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value: 39.313750000000006
|
| 740 |
+
- type: mrr_at_5
|
| 741 |
+
value: 40.70483333333333
|
| 742 |
+
- type: ndcg_at_1
|
| 743 |
+
value: 32.88291666666666
|
| 744 |
+
- type: ndcg_at_10
|
| 745 |
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value: 43.09408333333333
|
| 746 |
+
- type: ndcg_at_100
|
| 747 |
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value: 48.22158333333333
|
| 748 |
+
- type: ndcg_at_1000
|
| 749 |
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value: 50.358000000000004
|
| 750 |
+
- type: ndcg_at_3
|
| 751 |
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value: 38.129583333333336
|
| 752 |
+
- type: ndcg_at_5
|
| 753 |
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value: 40.39266666666666
|
| 754 |
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- type: precision_at_1
|
| 755 |
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value: 32.88291666666666
|
| 756 |
+
- type: precision_at_10
|
| 757 |
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value: 7.5584999999999996
|
| 758 |
+
- type: precision_at_100
|
| 759 |
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value: 1.1903333333333332
|
| 760 |
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- type: precision_at_1000
|
| 761 |
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value: 0.15658333333333332
|
| 762 |
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- type: precision_at_3
|
| 763 |
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value: 17.495916666666666
|
| 764 |
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- type: precision_at_5
|
| 765 |
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value: 12.373833333333332
|
| 766 |
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- type: recall_at_1
|
| 767 |
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value: 27.861250000000005
|
| 768 |
+
- type: recall_at_10
|
| 769 |
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value: 55.215916666666665
|
| 770 |
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- type: recall_at_100
|
| 771 |
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value: 77.392
|
| 772 |
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- type: recall_at_1000
|
| 773 |
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value: 92.04908333333334
|
| 774 |
+
- type: recall_at_3
|
| 775 |
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value: 41.37475
|
| 776 |
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- type: recall_at_5
|
| 777 |
+
value: 47.22908333333333
|
| 778 |
+
- task:
|
| 779 |
+
type: Retrieval
|
| 780 |
+
dataset:
|
| 781 |
+
type: BeIR/cqadupstack
|
| 782 |
+
name: MTEB CQADupstackStatsRetrieval
|
| 783 |
+
config: default
|
| 784 |
+
split: test
|
| 785 |
+
revision: None
|
| 786 |
+
metrics:
|
| 787 |
+
- type: map_at_1
|
| 788 |
+
value: 25.064999999999998
|
| 789 |
+
- type: map_at_10
|
| 790 |
+
value: 31.635999999999996
|
| 791 |
+
- type: map_at_100
|
| 792 |
+
value: 32.596000000000004
|
| 793 |
+
- type: map_at_1000
|
| 794 |
+
value: 32.695
|
| 795 |
+
- type: map_at_3
|
| 796 |
+
value: 29.612
|
| 797 |
+
- type: map_at_5
|
| 798 |
+
value: 30.768
|
| 799 |
+
- type: mrr_at_1
|
| 800 |
+
value: 28.528
|
| 801 |
+
- type: mrr_at_10
|
| 802 |
+
value: 34.717
|
| 803 |
+
- type: mrr_at_100
|
| 804 |
+
value: 35.558
|
| 805 |
+
- type: mrr_at_1000
|
| 806 |
+
value: 35.626000000000005
|
| 807 |
+
- type: mrr_at_3
|
| 808 |
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value: 32.745000000000005
|
| 809 |
+
- type: mrr_at_5
|
| 810 |
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value: 33.819
|
| 811 |
+
- type: ndcg_at_1
|
| 812 |
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value: 28.528
|
| 813 |
+
- type: ndcg_at_10
|
| 814 |
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value: 35.647
|
| 815 |
+
- type: ndcg_at_100
|
| 816 |
+
value: 40.207
|
| 817 |
+
- type: ndcg_at_1000
|
| 818 |
+
value: 42.695
|
| 819 |
+
- type: ndcg_at_3
|
| 820 |
+
value: 31.878
|
| 821 |
+
- type: ndcg_at_5
|
| 822 |
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value: 33.634
|
| 823 |
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- type: precision_at_1
|
| 824 |
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value: 28.528
|
| 825 |
+
- type: precision_at_10
|
| 826 |
+
value: 5.46
|
| 827 |
+
- type: precision_at_100
|
| 828 |
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value: 0.84
|
| 829 |
+
- type: precision_at_1000
|
| 830 |
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value: 0.11399999999999999
|
| 831 |
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- type: precision_at_3
|
| 832 |
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value: 13.547999999999998
|
| 833 |
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- type: precision_at_5
|
| 834 |
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value: 9.325
|
| 835 |
+
- type: recall_at_1
|
| 836 |
+
value: 25.064999999999998
|
| 837 |
+
- type: recall_at_10
|
| 838 |
+
value: 45.096000000000004
|
| 839 |
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- type: recall_at_100
|
| 840 |
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value: 65.658
|
| 841 |
+
- type: recall_at_1000
|
| 842 |
+
value: 84.128
|
| 843 |
+
- type: recall_at_3
|
| 844 |
+
value: 34.337
|
| 845 |
+
- type: recall_at_5
|
| 846 |
+
value: 38.849000000000004
|
| 847 |
+
- task:
|
| 848 |
+
type: Retrieval
|
| 849 |
+
dataset:
|
| 850 |
+
type: BeIR/cqadupstack
|
| 851 |
+
name: MTEB CQADupstackTexRetrieval
|
| 852 |
+
config: default
|
| 853 |
+
split: test
|
| 854 |
+
revision: None
|
| 855 |
+
metrics:
|
| 856 |
+
- type: map_at_1
|
| 857 |
+
value: 17.276
|
| 858 |
+
- type: map_at_10
|
| 859 |
+
value: 24.535
|
| 860 |
+
- type: map_at_100
|
| 861 |
+
value: 25.655
|
| 862 |
+
- type: map_at_1000
|
| 863 |
+
value: 25.782
|
| 864 |
+
- type: map_at_3
|
| 865 |
+
value: 22.228
|
| 866 |
+
- type: map_at_5
|
| 867 |
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value: 23.612
|
| 868 |
+
- type: mrr_at_1
|
| 869 |
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value: 21.266
|
| 870 |
+
- type: mrr_at_10
|
| 871 |
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value: 28.474
|
| 872 |
+
- type: mrr_at_100
|
| 873 |
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value: 29.398000000000003
|
| 874 |
+
- type: mrr_at_1000
|
| 875 |
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value: 29.482000000000003
|
| 876 |
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- type: mrr_at_3
|
| 877 |
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value: 26.245
|
| 878 |
+
- type: mrr_at_5
|
| 879 |
+
value: 27.624
|
| 880 |
+
- type: ndcg_at_1
|
| 881 |
+
value: 21.266
|
| 882 |
+
- type: ndcg_at_10
|
| 883 |
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value: 29.087000000000003
|
| 884 |
+
- type: ndcg_at_100
|
| 885 |
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value: 34.374
|
| 886 |
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- type: ndcg_at_1000
|
| 887 |
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value: 37.433
|
| 888 |
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- type: ndcg_at_3
|
| 889 |
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value: 25.040000000000003
|
| 890 |
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- type: ndcg_at_5
|
| 891 |
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value: 27.116
|
| 892 |
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- type: precision_at_1
|
| 893 |
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value: 21.266
|
| 894 |
+
- type: precision_at_10
|
| 895 |
+
value: 5.258
|
| 896 |
+
- type: precision_at_100
|
| 897 |
+
value: 0.9299999999999999
|
| 898 |
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- type: precision_at_1000
|
| 899 |
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value: 0.13699999999999998
|
| 900 |
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- type: precision_at_3
|
| 901 |
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value: 11.849
|
| 902 |
+
- type: precision_at_5
|
| 903 |
+
value: 8.699
|
| 904 |
+
- type: recall_at_1
|
| 905 |
+
value: 17.276
|
| 906 |
+
- type: recall_at_10
|
| 907 |
+
value: 38.928000000000004
|
| 908 |
+
- type: recall_at_100
|
| 909 |
+
value: 62.529
|
| 910 |
+
- type: recall_at_1000
|
| 911 |
+
value: 84.44800000000001
|
| 912 |
+
- type: recall_at_3
|
| 913 |
+
value: 27.554000000000002
|
| 914 |
+
- type: recall_at_5
|
| 915 |
+
value: 32.915
|
| 916 |
+
- task:
|
| 917 |
+
type: Retrieval
|
| 918 |
+
dataset:
|
| 919 |
+
type: BeIR/cqadupstack
|
| 920 |
+
name: MTEB CQADupstackUnixRetrieval
|
| 921 |
+
config: default
|
| 922 |
+
split: test
|
| 923 |
+
revision: None
|
| 924 |
+
metrics:
|
| 925 |
+
- type: map_at_1
|
| 926 |
+
value: 27.297
|
| 927 |
+
- type: map_at_10
|
| 928 |
+
value: 36.957
|
| 929 |
+
- type: map_at_100
|
| 930 |
+
value: 38.252
|
| 931 |
+
- type: map_at_1000
|
| 932 |
+
value: 38.356
|
| 933 |
+
- type: map_at_3
|
| 934 |
+
value: 34.121
|
| 935 |
+
- type: map_at_5
|
| 936 |
+
value: 35.782000000000004
|
| 937 |
+
- type: mrr_at_1
|
| 938 |
+
value: 32.275999999999996
|
| 939 |
+
- type: mrr_at_10
|
| 940 |
+
value: 41.198
|
| 941 |
+
- type: mrr_at_100
|
| 942 |
+
value: 42.131
|
| 943 |
+
- type: mrr_at_1000
|
| 944 |
+
value: 42.186
|
| 945 |
+
- type: mrr_at_3
|
| 946 |
+
value: 38.557
|
| 947 |
+
- type: mrr_at_5
|
| 948 |
+
value: 40.12
|
| 949 |
+
- type: ndcg_at_1
|
| 950 |
+
value: 32.275999999999996
|
| 951 |
+
- type: ndcg_at_10
|
| 952 |
+
value: 42.516
|
| 953 |
+
- type: ndcg_at_100
|
| 954 |
+
value: 48.15
|
| 955 |
+
- type: ndcg_at_1000
|
| 956 |
+
value: 50.344
|
| 957 |
+
- type: ndcg_at_3
|
| 958 |
+
value: 37.423
|
| 959 |
+
- type: ndcg_at_5
|
| 960 |
+
value: 39.919
|
| 961 |
+
- type: precision_at_1
|
| 962 |
+
value: 32.275999999999996
|
| 963 |
+
- type: precision_at_10
|
| 964 |
+
value: 7.155
|
| 965 |
+
- type: precision_at_100
|
| 966 |
+
value: 1.123
|
| 967 |
+
- type: precision_at_1000
|
| 968 |
+
value: 0.14200000000000002
|
| 969 |
+
- type: precision_at_3
|
| 970 |
+
value: 17.163999999999998
|
| 971 |
+
- type: precision_at_5
|
| 972 |
+
value: 12.127
|
| 973 |
+
- type: recall_at_1
|
| 974 |
+
value: 27.297
|
| 975 |
+
- type: recall_at_10
|
| 976 |
+
value: 55.238
|
| 977 |
+
- type: recall_at_100
|
| 978 |
+
value: 79.2
|
| 979 |
+
- type: recall_at_1000
|
| 980 |
+
value: 94.258
|
| 981 |
+
- type: recall_at_3
|
| 982 |
+
value: 41.327000000000005
|
| 983 |
+
- type: recall_at_5
|
| 984 |
+
value: 47.588
|
| 985 |
+
- task:
|
| 986 |
+
type: Retrieval
|
| 987 |
+
dataset:
|
| 988 |
+
type: BeIR/cqadupstack
|
| 989 |
+
name: MTEB CQADupstackWebmastersRetrieval
|
| 990 |
+
config: default
|
| 991 |
+
split: test
|
| 992 |
+
revision: None
|
| 993 |
+
metrics:
|
| 994 |
+
- type: map_at_1
|
| 995 |
+
value: 29.142000000000003
|
| 996 |
+
- type: map_at_10
|
| 997 |
+
value: 38.769
|
| 998 |
+
- type: map_at_100
|
| 999 |
+
value: 40.292
|
| 1000 |
+
- type: map_at_1000
|
| 1001 |
+
value: 40.510000000000005
|
| 1002 |
+
- type: map_at_3
|
| 1003 |
+
value: 35.39
|
| 1004 |
+
- type: map_at_5
|
| 1005 |
+
value: 37.009
|
| 1006 |
+
- type: mrr_at_1
|
| 1007 |
+
value: 34.19
|
| 1008 |
+
- type: mrr_at_10
|
| 1009 |
+
value: 43.418
|
| 1010 |
+
- type: mrr_at_100
|
| 1011 |
+
value: 44.132
|
| 1012 |
+
- type: mrr_at_1000
|
| 1013 |
+
value: 44.175
|
| 1014 |
+
- type: mrr_at_3
|
| 1015 |
+
value: 40.547
|
| 1016 |
+
- type: mrr_at_5
|
| 1017 |
+
value: 42.088
|
| 1018 |
+
- type: ndcg_at_1
|
| 1019 |
+
value: 34.19
|
| 1020 |
+
- type: ndcg_at_10
|
| 1021 |
+
value: 45.14
|
| 1022 |
+
- type: ndcg_at_100
|
| 1023 |
+
value: 50.364
|
| 1024 |
+
- type: ndcg_at_1000
|
| 1025 |
+
value: 52.481
|
| 1026 |
+
- type: ndcg_at_3
|
| 1027 |
+
value: 39.466
|
| 1028 |
+
- type: ndcg_at_5
|
| 1029 |
+
value: 41.772
|
| 1030 |
+
- type: precision_at_1
|
| 1031 |
+
value: 34.19
|
| 1032 |
+
- type: precision_at_10
|
| 1033 |
+
value: 8.715
|
| 1034 |
+
- type: precision_at_100
|
| 1035 |
+
value: 1.6150000000000002
|
| 1036 |
+
- type: precision_at_1000
|
| 1037 |
+
value: 0.247
|
| 1038 |
+
- type: precision_at_3
|
| 1039 |
+
value: 18.248
|
| 1040 |
+
- type: precision_at_5
|
| 1041 |
+
value: 13.161999999999999
|
| 1042 |
+
- type: recall_at_1
|
| 1043 |
+
value: 29.142000000000003
|
| 1044 |
+
- type: recall_at_10
|
| 1045 |
+
value: 57.577999999999996
|
| 1046 |
+
- type: recall_at_100
|
| 1047 |
+
value: 81.428
|
| 1048 |
+
- type: recall_at_1000
|
| 1049 |
+
value: 94.017
|
| 1050 |
+
- type: recall_at_3
|
| 1051 |
+
value: 41.402
|
| 1052 |
+
- type: recall_at_5
|
| 1053 |
+
value: 47.695
|
| 1054 |
+
- task:
|
| 1055 |
+
type: Retrieval
|
| 1056 |
+
dataset:
|
| 1057 |
+
type: BeIR/cqadupstack
|
| 1058 |
+
name: MTEB CQADupstackWordpressRetrieval
|
| 1059 |
+
config: default
|
| 1060 |
+
split: test
|
| 1061 |
+
revision: None
|
| 1062 |
+
metrics:
|
| 1063 |
+
- type: map_at_1
|
| 1064 |
+
value: 22.039
|
| 1065 |
+
- type: map_at_10
|
| 1066 |
+
value: 30.669999999999998
|
| 1067 |
+
- type: map_at_100
|
| 1068 |
+
value: 31.682
|
| 1069 |
+
- type: map_at_1000
|
| 1070 |
+
value: 31.794
|
| 1071 |
+
- type: map_at_3
|
| 1072 |
+
value: 28.139999999999997
|
| 1073 |
+
- type: map_at_5
|
| 1074 |
+
value: 29.457
|
| 1075 |
+
- type: mrr_at_1
|
| 1076 |
+
value: 24.399
|
| 1077 |
+
- type: mrr_at_10
|
| 1078 |
+
value: 32.687
|
| 1079 |
+
- type: mrr_at_100
|
| 1080 |
+
value: 33.622
|
| 1081 |
+
- type: mrr_at_1000
|
| 1082 |
+
value: 33.698
|
| 1083 |
+
- type: mrr_at_3
|
| 1084 |
+
value: 30.407
|
| 1085 |
+
- type: mrr_at_5
|
| 1086 |
+
value: 31.552999999999997
|
| 1087 |
+
- type: ndcg_at_1
|
| 1088 |
+
value: 24.399
|
| 1089 |
+
- type: ndcg_at_10
|
| 1090 |
+
value: 35.472
|
| 1091 |
+
- type: ndcg_at_100
|
| 1092 |
+
value: 40.455000000000005
|
| 1093 |
+
- type: ndcg_at_1000
|
| 1094 |
+
value: 43.15
|
| 1095 |
+
- type: ndcg_at_3
|
| 1096 |
+
value: 30.575000000000003
|
| 1097 |
+
- type: ndcg_at_5
|
| 1098 |
+
value: 32.668
|
| 1099 |
+
- type: precision_at_1
|
| 1100 |
+
value: 24.399
|
| 1101 |
+
- type: precision_at_10
|
| 1102 |
+
value: 5.656
|
| 1103 |
+
- type: precision_at_100
|
| 1104 |
+
value: 0.874
|
| 1105 |
+
- type: precision_at_1000
|
| 1106 |
+
value: 0.121
|
| 1107 |
+
- type: precision_at_3
|
| 1108 |
+
value: 13.062000000000001
|
| 1109 |
+
- type: precision_at_5
|
| 1110 |
+
value: 9.242
|
| 1111 |
+
- type: recall_at_1
|
| 1112 |
+
value: 22.039
|
| 1113 |
+
- type: recall_at_10
|
| 1114 |
+
value: 48.379
|
| 1115 |
+
- type: recall_at_100
|
| 1116 |
+
value: 71.11800000000001
|
| 1117 |
+
- type: recall_at_1000
|
| 1118 |
+
value: 91.095
|
| 1119 |
+
- type: recall_at_3
|
| 1120 |
+
value: 35.108
|
| 1121 |
+
- type: recall_at_5
|
| 1122 |
+
value: 40.015
|
| 1123 |
+
- task:
|
| 1124 |
+
type: Retrieval
|
| 1125 |
+
dataset:
|
| 1126 |
+
type: climate-fever
|
| 1127 |
+
name: MTEB ClimateFEVER
|
| 1128 |
+
config: default
|
| 1129 |
+
split: test
|
| 1130 |
+
revision: None
|
| 1131 |
+
metrics:
|
| 1132 |
+
- type: map_at_1
|
| 1133 |
+
value: 10.144
|
| 1134 |
+
- type: map_at_10
|
| 1135 |
+
value: 18.238
|
| 1136 |
+
- type: map_at_100
|
| 1137 |
+
value: 20.143
|
| 1138 |
+
- type: map_at_1000
|
| 1139 |
+
value: 20.346
|
| 1140 |
+
- type: map_at_3
|
| 1141 |
+
value: 14.809
|
| 1142 |
+
- type: map_at_5
|
| 1143 |
+
value: 16.567999999999998
|
| 1144 |
+
- type: mrr_at_1
|
| 1145 |
+
value: 22.671
|
| 1146 |
+
- type: mrr_at_10
|
| 1147 |
+
value: 34.906
|
| 1148 |
+
- type: mrr_at_100
|
| 1149 |
+
value: 35.858000000000004
|
| 1150 |
+
- type: mrr_at_1000
|
| 1151 |
+
value: 35.898
|
| 1152 |
+
- type: mrr_at_3
|
| 1153 |
+
value: 31.238
|
| 1154 |
+
- type: mrr_at_5
|
| 1155 |
+
value: 33.342
|
| 1156 |
+
- type: ndcg_at_1
|
| 1157 |
+
value: 22.671
|
| 1158 |
+
- type: ndcg_at_10
|
| 1159 |
+
value: 26.540000000000003
|
| 1160 |
+
- type: ndcg_at_100
|
| 1161 |
+
value: 34.138000000000005
|
| 1162 |
+
- type: ndcg_at_1000
|
| 1163 |
+
value: 37.72
|
| 1164 |
+
- type: ndcg_at_3
|
| 1165 |
+
value: 20.766000000000002
|
| 1166 |
+
- type: ndcg_at_5
|
| 1167 |
+
value: 22.927
|
| 1168 |
+
- type: precision_at_1
|
| 1169 |
+
value: 22.671
|
| 1170 |
+
- type: precision_at_10
|
| 1171 |
+
value: 8.619
|
| 1172 |
+
- type: precision_at_100
|
| 1173 |
+
value: 1.678
|
| 1174 |
+
- type: precision_at_1000
|
| 1175 |
+
value: 0.23500000000000001
|
| 1176 |
+
- type: precision_at_3
|
| 1177 |
+
value: 15.592
|
| 1178 |
+
- type: precision_at_5
|
| 1179 |
+
value: 12.43
|
| 1180 |
+
- type: recall_at_1
|
| 1181 |
+
value: 10.144
|
| 1182 |
+
- type: recall_at_10
|
| 1183 |
+
value: 33.46
|
| 1184 |
+
- type: recall_at_100
|
| 1185 |
+
value: 59.758
|
| 1186 |
+
- type: recall_at_1000
|
| 1187 |
+
value: 79.704
|
| 1188 |
+
- type: recall_at_3
|
| 1189 |
+
value: 19.604
|
| 1190 |
+
- type: recall_at_5
|
| 1191 |
+
value: 25.367
|
| 1192 |
+
- task:
|
| 1193 |
+
type: Retrieval
|
| 1194 |
+
dataset:
|
| 1195 |
+
type: dbpedia-entity
|
| 1196 |
+
name: MTEB DBPedia
|
| 1197 |
+
config: default
|
| 1198 |
+
split: test
|
| 1199 |
+
revision: None
|
| 1200 |
+
metrics:
|
| 1201 |
+
- type: map_at_1
|
| 1202 |
+
value: 8.654
|
| 1203 |
+
- type: map_at_10
|
| 1204 |
+
value: 18.506
|
| 1205 |
+
- type: map_at_100
|
| 1206 |
+
value: 26.412999999999997
|
| 1207 |
+
- type: map_at_1000
|
| 1208 |
+
value: 28.13
|
| 1209 |
+
- type: map_at_3
|
| 1210 |
+
value: 13.379
|
| 1211 |
+
- type: map_at_5
|
| 1212 |
+
value: 15.529000000000002
|
| 1213 |
+
- type: mrr_at_1
|
| 1214 |
+
value: 66.0
|
| 1215 |
+
- type: mrr_at_10
|
| 1216 |
+
value: 74.13
|
| 1217 |
+
- type: mrr_at_100
|
| 1218 |
+
value: 74.48700000000001
|
| 1219 |
+
- type: mrr_at_1000
|
| 1220 |
+
value: 74.49799999999999
|
| 1221 |
+
- type: mrr_at_3
|
| 1222 |
+
value: 72.75
|
| 1223 |
+
- type: mrr_at_5
|
| 1224 |
+
value: 73.762
|
| 1225 |
+
- type: ndcg_at_1
|
| 1226 |
+
value: 54.50000000000001
|
| 1227 |
+
- type: ndcg_at_10
|
| 1228 |
+
value: 40.236
|
| 1229 |
+
- type: ndcg_at_100
|
| 1230 |
+
value: 44.690999999999995
|
| 1231 |
+
- type: ndcg_at_1000
|
| 1232 |
+
value: 52.195
|
| 1233 |
+
- type: ndcg_at_3
|
| 1234 |
+
value: 45.632
|
| 1235 |
+
- type: ndcg_at_5
|
| 1236 |
+
value: 42.952
|
| 1237 |
+
- type: precision_at_1
|
| 1238 |
+
value: 66.0
|
| 1239 |
+
- type: precision_at_10
|
| 1240 |
+
value: 31.724999999999998
|
| 1241 |
+
- type: precision_at_100
|
| 1242 |
+
value: 10.299999999999999
|
| 1243 |
+
- type: precision_at_1000
|
| 1244 |
+
value: 2.194
|
| 1245 |
+
- type: precision_at_3
|
| 1246 |
+
value: 48.75
|
| 1247 |
+
- type: precision_at_5
|
| 1248 |
+
value: 41.6
|
| 1249 |
+
- type: recall_at_1
|
| 1250 |
+
value: 8.654
|
| 1251 |
+
- type: recall_at_10
|
| 1252 |
+
value: 23.74
|
| 1253 |
+
- type: recall_at_100
|
| 1254 |
+
value: 50.346999999999994
|
| 1255 |
+
- type: recall_at_1000
|
| 1256 |
+
value: 74.376
|
| 1257 |
+
- type: recall_at_3
|
| 1258 |
+
value: 14.636
|
| 1259 |
+
- type: recall_at_5
|
| 1260 |
+
value: 18.009
|
| 1261 |
+
- task:
|
| 1262 |
+
type: Classification
|
| 1263 |
+
dataset:
|
| 1264 |
+
type: mteb/emotion
|
| 1265 |
+
name: MTEB EmotionClassification
|
| 1266 |
+
config: default
|
| 1267 |
+
split: test
|
| 1268 |
+
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
|
| 1269 |
+
metrics:
|
| 1270 |
+
- type: accuracy
|
| 1271 |
+
value: 53.245
|
| 1272 |
+
- type: f1
|
| 1273 |
+
value: 48.74520523753552
|
| 1274 |
+
- task:
|
| 1275 |
+
type: Retrieval
|
| 1276 |
+
dataset:
|
| 1277 |
+
type: fever
|
| 1278 |
+
name: MTEB FEVER
|
| 1279 |
+
config: default
|
| 1280 |
+
split: test
|
| 1281 |
+
revision: None
|
| 1282 |
+
metrics:
|
| 1283 |
+
- type: map_at_1
|
| 1284 |
+
value: 51.729
|
| 1285 |
+
- type: map_at_10
|
| 1286 |
+
value: 63.904
|
| 1287 |
+
- type: map_at_100
|
| 1288 |
+
value: 64.363
|
| 1289 |
+
- type: map_at_1000
|
| 1290 |
+
value: 64.38199999999999
|
| 1291 |
+
- type: map_at_3
|
| 1292 |
+
value: 61.393
|
| 1293 |
+
- type: map_at_5
|
| 1294 |
+
value: 63.02100000000001
|
| 1295 |
+
- type: mrr_at_1
|
| 1296 |
+
value: 55.686
|
| 1297 |
+
- type: mrr_at_10
|
| 1298 |
+
value: 67.804
|
| 1299 |
+
- type: mrr_at_100
|
| 1300 |
+
value: 68.15299999999999
|
| 1301 |
+
- type: mrr_at_1000
|
| 1302 |
+
value: 68.161
|
| 1303 |
+
- type: mrr_at_3
|
| 1304 |
+
value: 65.494
|
| 1305 |
+
- type: mrr_at_5
|
| 1306 |
+
value: 67.01599999999999
|
| 1307 |
+
- type: ndcg_at_1
|
| 1308 |
+
value: 55.686
|
| 1309 |
+
- type: ndcg_at_10
|
| 1310 |
+
value: 70.025
|
| 1311 |
+
- type: ndcg_at_100
|
| 1312 |
+
value: 72.011
|
| 1313 |
+
- type: ndcg_at_1000
|
| 1314 |
+
value: 72.443
|
| 1315 |
+
- type: ndcg_at_3
|
| 1316 |
+
value: 65.32900000000001
|
| 1317 |
+
- type: ndcg_at_5
|
| 1318 |
+
value: 68.05600000000001
|
| 1319 |
+
- type: precision_at_1
|
| 1320 |
+
value: 55.686
|
| 1321 |
+
- type: precision_at_10
|
| 1322 |
+
value: 9.358
|
| 1323 |
+
- type: precision_at_100
|
| 1324 |
+
value: 1.05
|
| 1325 |
+
- type: precision_at_1000
|
| 1326 |
+
value: 0.11
|
| 1327 |
+
- type: precision_at_3
|
| 1328 |
+
value: 26.318
|
| 1329 |
+
- type: precision_at_5
|
| 1330 |
+
value: 17.321
|
| 1331 |
+
- type: recall_at_1
|
| 1332 |
+
value: 51.729
|
| 1333 |
+
- type: recall_at_10
|
| 1334 |
+
value: 85.04
|
| 1335 |
+
- type: recall_at_100
|
| 1336 |
+
value: 93.777
|
| 1337 |
+
- type: recall_at_1000
|
| 1338 |
+
value: 96.824
|
| 1339 |
+
- type: recall_at_3
|
| 1340 |
+
value: 72.521
|
| 1341 |
+
- type: recall_at_5
|
| 1342 |
+
value: 79.148
|
| 1343 |
+
- task:
|
| 1344 |
+
type: Retrieval
|
| 1345 |
+
dataset:
|
| 1346 |
+
type: fiqa
|
| 1347 |
+
name: MTEB FiQA2018
|
| 1348 |
+
config: default
|
| 1349 |
+
split: test
|
| 1350 |
+
revision: None
|
| 1351 |
+
metrics:
|
| 1352 |
+
- type: map_at_1
|
| 1353 |
+
value: 23.765
|
| 1354 |
+
- type: map_at_10
|
| 1355 |
+
value: 39.114
|
| 1356 |
+
- type: map_at_100
|
| 1357 |
+
value: 40.987
|
| 1358 |
+
- type: map_at_1000
|
| 1359 |
+
value: 41.155
|
| 1360 |
+
- type: map_at_3
|
| 1361 |
+
value: 34.028000000000006
|
| 1362 |
+
- type: map_at_5
|
| 1363 |
+
value: 36.925000000000004
|
| 1364 |
+
- type: mrr_at_1
|
| 1365 |
+
value: 46.451
|
| 1366 |
+
- type: mrr_at_10
|
| 1367 |
+
value: 54.711
|
| 1368 |
+
- type: mrr_at_100
|
| 1369 |
+
value: 55.509
|
| 1370 |
+
- type: mrr_at_1000
|
| 1371 |
+
value: 55.535000000000004
|
| 1372 |
+
- type: mrr_at_3
|
| 1373 |
+
value: 52.649
|
| 1374 |
+
- type: mrr_at_5
|
| 1375 |
+
value: 53.729000000000006
|
| 1376 |
+
- type: ndcg_at_1
|
| 1377 |
+
value: 46.451
|
| 1378 |
+
- type: ndcg_at_10
|
| 1379 |
+
value: 46.955999999999996
|
| 1380 |
+
- type: ndcg_at_100
|
| 1381 |
+
value: 53.686
|
| 1382 |
+
- type: ndcg_at_1000
|
| 1383 |
+
value: 56.230000000000004
|
| 1384 |
+
- type: ndcg_at_3
|
| 1385 |
+
value: 43.374
|
| 1386 |
+
- type: ndcg_at_5
|
| 1387 |
+
value: 44.372
|
| 1388 |
+
- type: precision_at_1
|
| 1389 |
+
value: 46.451
|
| 1390 |
+
- type: precision_at_10
|
| 1391 |
+
value: 13.256
|
| 1392 |
+
- type: precision_at_100
|
| 1393 |
+
value: 2.019
|
| 1394 |
+
- type: precision_at_1000
|
| 1395 |
+
value: 0.247
|
| 1396 |
+
- type: precision_at_3
|
| 1397 |
+
value: 29.115000000000002
|
| 1398 |
+
- type: precision_at_5
|
| 1399 |
+
value: 21.389
|
| 1400 |
+
- type: recall_at_1
|
| 1401 |
+
value: 23.765
|
| 1402 |
+
- type: recall_at_10
|
| 1403 |
+
value: 53.452999999999996
|
| 1404 |
+
- type: recall_at_100
|
| 1405 |
+
value: 78.828
|
| 1406 |
+
- type: recall_at_1000
|
| 1407 |
+
value: 93.938
|
| 1408 |
+
- type: recall_at_3
|
| 1409 |
+
value: 39.023
|
| 1410 |
+
- type: recall_at_5
|
| 1411 |
+
value: 45.18
|
| 1412 |
+
- task:
|
| 1413 |
+
type: Retrieval
|
| 1414 |
+
dataset:
|
| 1415 |
+
type: hotpotqa
|
| 1416 |
+
name: MTEB HotpotQA
|
| 1417 |
+
config: default
|
| 1418 |
+
split: test
|
| 1419 |
+
revision: None
|
| 1420 |
+
metrics:
|
| 1421 |
+
- type: map_at_1
|
| 1422 |
+
value: 31.918000000000003
|
| 1423 |
+
- type: map_at_10
|
| 1424 |
+
value: 46.741
|
| 1425 |
+
- type: map_at_100
|
| 1426 |
+
value: 47.762
|
| 1427 |
+
- type: map_at_1000
|
| 1428 |
+
value: 47.849000000000004
|
| 1429 |
+
- type: map_at_3
|
| 1430 |
+
value: 43.578
|
| 1431 |
+
- type: map_at_5
|
| 1432 |
+
value: 45.395
|
| 1433 |
+
- type: mrr_at_1
|
| 1434 |
+
value: 63.834999999999994
|
| 1435 |
+
- type: mrr_at_10
|
| 1436 |
+
value: 71.312
|
| 1437 |
+
- type: mrr_at_100
|
| 1438 |
+
value: 71.695
|
| 1439 |
+
- type: mrr_at_1000
|
| 1440 |
+
value: 71.714
|
| 1441 |
+
- type: mrr_at_3
|
| 1442 |
+
value: 69.82000000000001
|
| 1443 |
+
- type: mrr_at_5
|
| 1444 |
+
value: 70.726
|
| 1445 |
+
- type: ndcg_at_1
|
| 1446 |
+
value: 63.834999999999994
|
| 1447 |
+
- type: ndcg_at_10
|
| 1448 |
+
value: 55.879999999999995
|
| 1449 |
+
- type: ndcg_at_100
|
| 1450 |
+
value: 59.723000000000006
|
| 1451 |
+
- type: ndcg_at_1000
|
| 1452 |
+
value: 61.49400000000001
|
| 1453 |
+
- type: ndcg_at_3
|
| 1454 |
+
value: 50.964
|
| 1455 |
+
- type: ndcg_at_5
|
| 1456 |
+
value: 53.47
|
| 1457 |
+
- type: precision_at_1
|
| 1458 |
+
value: 63.834999999999994
|
| 1459 |
+
- type: precision_at_10
|
| 1460 |
+
value: 11.845
|
| 1461 |
+
- type: precision_at_100
|
| 1462 |
+
value: 1.4869999999999999
|
| 1463 |
+
- type: precision_at_1000
|
| 1464 |
+
value: 0.172
|
| 1465 |
+
- type: precision_at_3
|
| 1466 |
+
value: 32.158
|
| 1467 |
+
- type: precision_at_5
|
| 1468 |
+
value: 21.278
|
| 1469 |
+
- type: recall_at_1
|
| 1470 |
+
value: 31.918000000000003
|
| 1471 |
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- type: recall_at_10
|
| 1472 |
+
value: 59.223000000000006
|
| 1473 |
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- type: recall_at_100
|
| 1474 |
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value: 74.328
|
| 1475 |
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- type: recall_at_1000
|
| 1476 |
+
value: 86.05000000000001
|
| 1477 |
+
- type: recall_at_3
|
| 1478 |
+
value: 48.238
|
| 1479 |
+
- type: recall_at_5
|
| 1480 |
+
value: 53.193999999999996
|
| 1481 |
+
- task:
|
| 1482 |
+
type: Classification
|
| 1483 |
+
dataset:
|
| 1484 |
+
type: mteb/imdb
|
| 1485 |
+
name: MTEB ImdbClassification
|
| 1486 |
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config: default
|
| 1487 |
+
split: test
|
| 1488 |
+
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
|
| 1489 |
+
metrics:
|
| 1490 |
+
- type: accuracy
|
| 1491 |
+
value: 79.7896
|
| 1492 |
+
- type: ap
|
| 1493 |
+
value: 73.65166029460288
|
| 1494 |
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- type: f1
|
| 1495 |
+
value: 79.71794693711813
|
| 1496 |
+
- task:
|
| 1497 |
+
type: Retrieval
|
| 1498 |
+
dataset:
|
| 1499 |
+
type: msmarco
|
| 1500 |
+
name: MTEB MSMARCO
|
| 1501 |
+
config: default
|
| 1502 |
+
split: dev
|
| 1503 |
+
revision: None
|
| 1504 |
+
metrics:
|
| 1505 |
+
- type: map_at_1
|
| 1506 |
+
value: 22.239
|
| 1507 |
+
- type: map_at_10
|
| 1508 |
+
value: 34.542
|
| 1509 |
+
- type: map_at_100
|
| 1510 |
+
value: 35.717999999999996
|
| 1511 |
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- type: map_at_1000
|
| 1512 |
+
value: 35.764
|
| 1513 |
+
- type: map_at_3
|
| 1514 |
+
value: 30.432
|
| 1515 |
+
- type: map_at_5
|
| 1516 |
+
value: 32.81
|
| 1517 |
+
- type: mrr_at_1
|
| 1518 |
+
value: 22.908
|
| 1519 |
+
- type: mrr_at_10
|
| 1520 |
+
value: 35.127
|
| 1521 |
+
- type: mrr_at_100
|
| 1522 |
+
value: 36.238
|
| 1523 |
+
- type: mrr_at_1000
|
| 1524 |
+
value: 36.278
|
| 1525 |
+
- type: mrr_at_3
|
| 1526 |
+
value: 31.076999999999998
|
| 1527 |
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- type: mrr_at_5
|
| 1528 |
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value: 33.419
|
| 1529 |
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- type: ndcg_at_1
|
| 1530 |
+
value: 22.908
|
| 1531 |
+
- type: ndcg_at_10
|
| 1532 |
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value: 41.607
|
| 1533 |
+
- type: ndcg_at_100
|
| 1534 |
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value: 47.28
|
| 1535 |
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- type: ndcg_at_1000
|
| 1536 |
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value: 48.414
|
| 1537 |
+
- type: ndcg_at_3
|
| 1538 |
+
value: 33.253
|
| 1539 |
+
- type: ndcg_at_5
|
| 1540 |
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value: 37.486000000000004
|
| 1541 |
+
- type: precision_at_1
|
| 1542 |
+
value: 22.908
|
| 1543 |
+
- type: precision_at_10
|
| 1544 |
+
value: 6.645
|
| 1545 |
+
- type: precision_at_100
|
| 1546 |
+
value: 0.9490000000000001
|
| 1547 |
+
- type: precision_at_1000
|
| 1548 |
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value: 0.105
|
| 1549 |
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- type: precision_at_3
|
| 1550 |
+
value: 14.130999999999998
|
| 1551 |
+
- type: precision_at_5
|
| 1552 |
+
value: 10.616
|
| 1553 |
+
- type: recall_at_1
|
| 1554 |
+
value: 22.239
|
| 1555 |
+
- type: recall_at_10
|
| 1556 |
+
value: 63.42
|
| 1557 |
+
- type: recall_at_100
|
| 1558 |
+
value: 89.696
|
| 1559 |
+
- type: recall_at_1000
|
| 1560 |
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value: 98.351
|
| 1561 |
+
- type: recall_at_3
|
| 1562 |
+
value: 40.77
|
| 1563 |
+
- type: recall_at_5
|
| 1564 |
+
value: 50.93
|
| 1565 |
+
- task:
|
| 1566 |
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type: Classification
|
| 1567 |
+
dataset:
|
| 1568 |
+
type: mteb/mtop_domain
|
| 1569 |
+
name: MTEB MTOPDomainClassification (en)
|
| 1570 |
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config: en
|
| 1571 |
+
split: test
|
| 1572 |
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revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
|
| 1573 |
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metrics:
|
| 1574 |
+
- type: accuracy
|
| 1575 |
+
value: 95.06839945280439
|
| 1576 |
+
- type: f1
|
| 1577 |
+
value: 94.74276398224072
|
| 1578 |
+
- task:
|
| 1579 |
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type: Classification
|
| 1580 |
+
dataset:
|
| 1581 |
+
type: mteb/mtop_intent
|
| 1582 |
+
name: MTEB MTOPIntentClassification (en)
|
| 1583 |
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config: en
|
| 1584 |
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split: test
|
| 1585 |
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revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
|
| 1586 |
+
metrics:
|
| 1587 |
+
- type: accuracy
|
| 1588 |
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value: 72.25718194254446
|
| 1589 |
+
- type: f1
|
| 1590 |
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value: 53.91164489161391
|
| 1591 |
+
- task:
|
| 1592 |
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type: Classification
|
| 1593 |
+
dataset:
|
| 1594 |
+
type: mteb/amazon_massive_intent
|
| 1595 |
+
name: MTEB MassiveIntentClassification (en)
|
| 1596 |
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config: en
|
| 1597 |
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split: test
|
| 1598 |
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revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
|
| 1599 |
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metrics:
|
| 1600 |
+
- type: accuracy
|
| 1601 |
+
value: 71.47948890383323
|
| 1602 |
+
- type: f1
|
| 1603 |
+
value: 69.98520247230257
|
| 1604 |
+
- task:
|
| 1605 |
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type: Classification
|
| 1606 |
+
dataset:
|
| 1607 |
+
type: mteb/amazon_massive_scenario
|
| 1608 |
+
name: MTEB MassiveScenarioClassification (en)
|
| 1609 |
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config: en
|
| 1610 |
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split: test
|
| 1611 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 1612 |
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metrics:
|
| 1613 |
+
- type: accuracy
|
| 1614 |
+
value: 76.46603900470748
|
| 1615 |
+
- type: f1
|
| 1616 |
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value: 76.44111526065399
|
| 1617 |
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- task:
|
| 1618 |
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type: Clustering
|
| 1619 |
+
dataset:
|
| 1620 |
+
type: mteb/medrxiv-clustering-p2p
|
| 1621 |
+
name: MTEB MedrxivClusteringP2P
|
| 1622 |
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config: default
|
| 1623 |
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split: test
|
| 1624 |
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revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
|
| 1625 |
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metrics:
|
| 1626 |
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- type: v_measure
|
| 1627 |
+
value: 33.19106070798198
|
| 1628 |
+
- task:
|
| 1629 |
+
type: Clustering
|
| 1630 |
+
dataset:
|
| 1631 |
+
type: mteb/medrxiv-clustering-s2s
|
| 1632 |
+
name: MTEB MedrxivClusteringS2S
|
| 1633 |
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config: default
|
| 1634 |
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split: test
|
| 1635 |
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revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
|
| 1636 |
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metrics:
|
| 1637 |
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- type: v_measure
|
| 1638 |
+
value: 30.78772205248094
|
| 1639 |
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- task:
|
| 1640 |
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type: Reranking
|
| 1641 |
+
dataset:
|
| 1642 |
+
type: mteb/mind_small
|
| 1643 |
+
name: MTEB MindSmallReranking
|
| 1644 |
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config: default
|
| 1645 |
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split: test
|
| 1646 |
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revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
|
| 1647 |
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metrics:
|
| 1648 |
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- type: map
|
| 1649 |
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value: 31.811231631488507
|
| 1650 |
+
- type: mrr
|
| 1651 |
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value: 32.98200485378021
|
| 1652 |
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- task:
|
| 1653 |
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type: Retrieval
|
| 1654 |
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dataset:
|
| 1655 |
+
type: nfcorpus
|
| 1656 |
+
name: MTEB NFCorpus
|
| 1657 |
+
config: default
|
| 1658 |
+
split: test
|
| 1659 |
+
revision: None
|
| 1660 |
+
metrics:
|
| 1661 |
+
- type: map_at_1
|
| 1662 |
+
value: 6.9
|
| 1663 |
+
- type: map_at_10
|
| 1664 |
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value: 13.703000000000001
|
| 1665 |
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- type: map_at_100
|
| 1666 |
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value: 17.251
|
| 1667 |
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- type: map_at_1000
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| 1668 |
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value: 18.795
|
| 1669 |
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- type: map_at_3
|
| 1670 |
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value: 10.366999999999999
|
| 1671 |
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- type: map_at_5
|
| 1672 |
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value: 11.675
|
| 1673 |
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- type: mrr_at_1
|
| 1674 |
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value: 47.059
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- type: mrr_at_10
|
| 1676 |
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value: 55.816
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| 1677 |
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- type: mrr_at_100
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| 1678 |
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value: 56.434
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| 1679 |
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- type: mrr_at_1000
|
| 1680 |
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value: 56.467
|
| 1681 |
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- type: mrr_at_3
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| 1682 |
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value: 53.973000000000006
|
| 1683 |
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- type: mrr_at_5
|
| 1684 |
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value: 55.257999999999996
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| 1685 |
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- type: ndcg_at_1
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| 1686 |
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value: 44.737
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| 1687 |
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- type: ndcg_at_10
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| 1688 |
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value: 35.997
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| 1689 |
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- type: ndcg_at_100
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| 1690 |
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value: 33.487
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| 1691 |
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- type: ndcg_at_1000
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| 1692 |
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value: 41.897
|
| 1693 |
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- type: ndcg_at_3
|
| 1694 |
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value: 41.18
|
| 1695 |
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- type: ndcg_at_5
|
| 1696 |
+
value: 38.721
|
| 1697 |
+
- type: precision_at_1
|
| 1698 |
+
value: 46.129999999999995
|
| 1699 |
+
- type: precision_at_10
|
| 1700 |
+
value: 26.533
|
| 1701 |
+
- type: precision_at_100
|
| 1702 |
+
value: 8.706
|
| 1703 |
+
- type: precision_at_1000
|
| 1704 |
+
value: 2.16
|
| 1705 |
+
- type: precision_at_3
|
| 1706 |
+
value: 38.493
|
| 1707 |
+
- type: precision_at_5
|
| 1708 |
+
value: 33.189
|
| 1709 |
+
- type: recall_at_1
|
| 1710 |
+
value: 6.9
|
| 1711 |
+
- type: recall_at_10
|
| 1712 |
+
value: 17.488999999999997
|
| 1713 |
+
- type: recall_at_100
|
| 1714 |
+
value: 34.583000000000006
|
| 1715 |
+
- type: recall_at_1000
|
| 1716 |
+
value: 64.942
|
| 1717 |
+
- type: recall_at_3
|
| 1718 |
+
value: 11.494
|
| 1719 |
+
- type: recall_at_5
|
| 1720 |
+
value: 13.496
|
| 1721 |
+
- task:
|
| 1722 |
+
type: Retrieval
|
| 1723 |
+
dataset:
|
| 1724 |
+
type: nq
|
| 1725 |
+
name: MTEB NQ
|
| 1726 |
+
config: default
|
| 1727 |
+
split: test
|
| 1728 |
+
revision: None
|
| 1729 |
+
metrics:
|
| 1730 |
+
- type: map_at_1
|
| 1731 |
+
value: 33.028999999999996
|
| 1732 |
+
- type: map_at_10
|
| 1733 |
+
value: 49.307
|
| 1734 |
+
- type: map_at_100
|
| 1735 |
+
value: 50.205
|
| 1736 |
+
- type: map_at_1000
|
| 1737 |
+
value: 50.23
|
| 1738 |
+
- type: map_at_3
|
| 1739 |
+
value: 44.782
|
| 1740 |
+
- type: map_at_5
|
| 1741 |
+
value: 47.599999999999994
|
| 1742 |
+
- type: mrr_at_1
|
| 1743 |
+
value: 37.108999999999995
|
| 1744 |
+
- type: mrr_at_10
|
| 1745 |
+
value: 51.742999999999995
|
| 1746 |
+
- type: mrr_at_100
|
| 1747 |
+
value: 52.405
|
| 1748 |
+
- type: mrr_at_1000
|
| 1749 |
+
value: 52.422000000000004
|
| 1750 |
+
- type: mrr_at_3
|
| 1751 |
+
value: 48.087999999999994
|
| 1752 |
+
- type: mrr_at_5
|
| 1753 |
+
value: 50.414
|
| 1754 |
+
- type: ndcg_at_1
|
| 1755 |
+
value: 37.08
|
| 1756 |
+
- type: ndcg_at_10
|
| 1757 |
+
value: 57.236
|
| 1758 |
+
- type: ndcg_at_100
|
| 1759 |
+
value: 60.931999999999995
|
| 1760 |
+
- type: ndcg_at_1000
|
| 1761 |
+
value: 61.522
|
| 1762 |
+
- type: ndcg_at_3
|
| 1763 |
+
value: 48.93
|
| 1764 |
+
- type: ndcg_at_5
|
| 1765 |
+
value: 53.561
|
| 1766 |
+
- type: precision_at_1
|
| 1767 |
+
value: 37.08
|
| 1768 |
+
- type: precision_at_10
|
| 1769 |
+
value: 9.386
|
| 1770 |
+
- type: precision_at_100
|
| 1771 |
+
value: 1.1480000000000001
|
| 1772 |
+
- type: precision_at_1000
|
| 1773 |
+
value: 0.12
|
| 1774 |
+
- type: precision_at_3
|
| 1775 |
+
value: 22.258
|
| 1776 |
+
- type: precision_at_5
|
| 1777 |
+
value: 16.025
|
| 1778 |
+
- type: recall_at_1
|
| 1779 |
+
value: 33.028999999999996
|
| 1780 |
+
- type: recall_at_10
|
| 1781 |
+
value: 78.805
|
| 1782 |
+
- type: recall_at_100
|
| 1783 |
+
value: 94.643
|
| 1784 |
+
- type: recall_at_1000
|
| 1785 |
+
value: 99.039
|
| 1786 |
+
- type: recall_at_3
|
| 1787 |
+
value: 57.602
|
| 1788 |
+
- type: recall_at_5
|
| 1789 |
+
value: 68.253
|
| 1790 |
+
- task:
|
| 1791 |
+
type: Retrieval
|
| 1792 |
+
dataset:
|
| 1793 |
+
type: quora
|
| 1794 |
+
name: MTEB QuoraRetrieval
|
| 1795 |
+
config: default
|
| 1796 |
+
split: test
|
| 1797 |
+
revision: None
|
| 1798 |
+
metrics:
|
| 1799 |
+
- type: map_at_1
|
| 1800 |
+
value: 71.122
|
| 1801 |
+
- type: map_at_10
|
| 1802 |
+
value: 85.237
|
| 1803 |
+
- type: map_at_100
|
| 1804 |
+
value: 85.872
|
| 1805 |
+
- type: map_at_1000
|
| 1806 |
+
value: 85.885
|
| 1807 |
+
- type: map_at_3
|
| 1808 |
+
value: 82.27499999999999
|
| 1809 |
+
- type: map_at_5
|
| 1810 |
+
value: 84.13199999999999
|
| 1811 |
+
- type: mrr_at_1
|
| 1812 |
+
value: 81.73
|
| 1813 |
+
- type: mrr_at_10
|
| 1814 |
+
value: 87.834
|
| 1815 |
+
- type: mrr_at_100
|
| 1816 |
+
value: 87.92
|
| 1817 |
+
- type: mrr_at_1000
|
| 1818 |
+
value: 87.921
|
| 1819 |
+
- type: mrr_at_3
|
| 1820 |
+
value: 86.878
|
| 1821 |
+
- type: mrr_at_5
|
| 1822 |
+
value: 87.512
|
| 1823 |
+
- type: ndcg_at_1
|
| 1824 |
+
value: 81.73
|
| 1825 |
+
- type: ndcg_at_10
|
| 1826 |
+
value: 88.85499999999999
|
| 1827 |
+
- type: ndcg_at_100
|
| 1828 |
+
value: 89.992
|
| 1829 |
+
- type: ndcg_at_1000
|
| 1830 |
+
value: 90.07
|
| 1831 |
+
- type: ndcg_at_3
|
| 1832 |
+
value: 85.997
|
| 1833 |
+
- type: ndcg_at_5
|
| 1834 |
+
value: 87.55199999999999
|
| 1835 |
+
- type: precision_at_1
|
| 1836 |
+
value: 81.73
|
| 1837 |
+
- type: precision_at_10
|
| 1838 |
+
value: 13.491
|
| 1839 |
+
- type: precision_at_100
|
| 1840 |
+
value: 1.536
|
| 1841 |
+
- type: precision_at_1000
|
| 1842 |
+
value: 0.157
|
| 1843 |
+
- type: precision_at_3
|
| 1844 |
+
value: 37.623
|
| 1845 |
+
- type: precision_at_5
|
| 1846 |
+
value: 24.742
|
| 1847 |
+
- type: recall_at_1
|
| 1848 |
+
value: 71.122
|
| 1849 |
+
- type: recall_at_10
|
| 1850 |
+
value: 95.935
|
| 1851 |
+
- type: recall_at_100
|
| 1852 |
+
value: 99.657
|
| 1853 |
+
- type: recall_at_1000
|
| 1854 |
+
value: 99.996
|
| 1855 |
+
- type: recall_at_3
|
| 1856 |
+
value: 87.80799999999999
|
| 1857 |
+
- type: recall_at_5
|
| 1858 |
+
value: 92.161
|
| 1859 |
+
- task:
|
| 1860 |
+
type: Clustering
|
| 1861 |
+
dataset:
|
| 1862 |
+
type: mteb/reddit-clustering
|
| 1863 |
+
name: MTEB RedditClustering
|
| 1864 |
+
config: default
|
| 1865 |
+
split: test
|
| 1866 |
+
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
|
| 1867 |
+
metrics:
|
| 1868 |
+
- type: v_measure
|
| 1869 |
+
value: 63.490029238193756
|
| 1870 |
+
- task:
|
| 1871 |
+
type: Clustering
|
| 1872 |
+
dataset:
|
| 1873 |
+
type: mteb/reddit-clustering-p2p
|
| 1874 |
+
name: MTEB RedditClusteringP2P
|
| 1875 |
+
config: default
|
| 1876 |
+
split: test
|
| 1877 |
+
revision: 282350215ef01743dc01b456c7f5241fa8937f16
|
| 1878 |
+
metrics:
|
| 1879 |
+
- type: v_measure
|
| 1880 |
+
value: 65.13153408508836
|
| 1881 |
+
- task:
|
| 1882 |
+
type: Retrieval
|
| 1883 |
+
dataset:
|
| 1884 |
+
type: scidocs
|
| 1885 |
+
name: MTEB SCIDOCS
|
| 1886 |
+
config: default
|
| 1887 |
+
split: test
|
| 1888 |
+
revision: None
|
| 1889 |
+
metrics:
|
| 1890 |
+
- type: map_at_1
|
| 1891 |
+
value: 4.202999999999999
|
| 1892 |
+
- type: map_at_10
|
| 1893 |
+
value: 10.174
|
| 1894 |
+
- type: map_at_100
|
| 1895 |
+
value: 12.138
|
| 1896 |
+
- type: map_at_1000
|
| 1897 |
+
value: 12.418
|
| 1898 |
+
- type: map_at_3
|
| 1899 |
+
value: 7.379
|
| 1900 |
+
- type: map_at_5
|
| 1901 |
+
value: 8.727
|
| 1902 |
+
- type: mrr_at_1
|
| 1903 |
+
value: 20.7
|
| 1904 |
+
- type: mrr_at_10
|
| 1905 |
+
value: 30.389
|
| 1906 |
+
- type: mrr_at_100
|
| 1907 |
+
value: 31.566
|
| 1908 |
+
- type: mrr_at_1000
|
| 1909 |
+
value: 31.637999999999998
|
| 1910 |
+
- type: mrr_at_3
|
| 1911 |
+
value: 27.133000000000003
|
| 1912 |
+
- type: mrr_at_5
|
| 1913 |
+
value: 29.078
|
| 1914 |
+
- type: ndcg_at_1
|
| 1915 |
+
value: 20.7
|
| 1916 |
+
- type: ndcg_at_10
|
| 1917 |
+
value: 17.355999999999998
|
| 1918 |
+
- type: ndcg_at_100
|
| 1919 |
+
value: 25.151
|
| 1920 |
+
- type: ndcg_at_1000
|
| 1921 |
+
value: 30.37
|
| 1922 |
+
- type: ndcg_at_3
|
| 1923 |
+
value: 16.528000000000002
|
| 1924 |
+
- type: ndcg_at_5
|
| 1925 |
+
value: 14.396999999999998
|
| 1926 |
+
- type: precision_at_1
|
| 1927 |
+
value: 20.7
|
| 1928 |
+
- type: precision_at_10
|
| 1929 |
+
value: 8.98
|
| 1930 |
+
- type: precision_at_100
|
| 1931 |
+
value: 2.015
|
| 1932 |
+
- type: precision_at_1000
|
| 1933 |
+
value: 0.327
|
| 1934 |
+
- type: precision_at_3
|
| 1935 |
+
value: 15.367
|
| 1936 |
+
- type: precision_at_5
|
| 1937 |
+
value: 12.559999999999999
|
| 1938 |
+
- type: recall_at_1
|
| 1939 |
+
value: 4.202999999999999
|
| 1940 |
+
- type: recall_at_10
|
| 1941 |
+
value: 18.197
|
| 1942 |
+
- type: recall_at_100
|
| 1943 |
+
value: 40.903
|
| 1944 |
+
- type: recall_at_1000
|
| 1945 |
+
value: 66.427
|
| 1946 |
+
- type: recall_at_3
|
| 1947 |
+
value: 9.362
|
| 1948 |
+
- type: recall_at_5
|
| 1949 |
+
value: 12.747
|
| 1950 |
+
- task:
|
| 1951 |
+
type: STS
|
| 1952 |
+
dataset:
|
| 1953 |
+
type: mteb/sickr-sts
|
| 1954 |
+
name: MTEB SICK-R
|
| 1955 |
+
config: default
|
| 1956 |
+
split: test
|
| 1957 |
+
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
|
| 1958 |
+
metrics:
|
| 1959 |
+
- type: cos_sim_spearman
|
| 1960 |
+
value: 81.69890989765257
|
| 1961 |
+
- task:
|
| 1962 |
+
type: STS
|
| 1963 |
+
dataset:
|
| 1964 |
+
type: mteb/sts12-sts
|
| 1965 |
+
name: MTEB STS12
|
| 1966 |
+
config: default
|
| 1967 |
+
split: test
|
| 1968 |
+
revision: a0d554a64d88156834ff5ae9920b964011b16384
|
| 1969 |
+
metrics:
|
| 1970 |
+
- type: cos_sim_spearman
|
| 1971 |
+
value: 75.31953790551489
|
| 1972 |
+
- task:
|
| 1973 |
+
type: STS
|
| 1974 |
+
dataset:
|
| 1975 |
+
type: mteb/sts13-sts
|
| 1976 |
+
name: MTEB STS13
|
| 1977 |
+
config: default
|
| 1978 |
+
split: test
|
| 1979 |
+
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
|
| 1980 |
+
metrics:
|
| 1981 |
+
- type: cos_sim_spearman
|
| 1982 |
+
value: 87.44050861280759
|
| 1983 |
+
- task:
|
| 1984 |
+
type: STS
|
| 1985 |
+
dataset:
|
| 1986 |
+
type: mteb/sts14-sts
|
| 1987 |
+
name: MTEB STS14
|
| 1988 |
+
config: default
|
| 1989 |
+
split: test
|
| 1990 |
+
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
|
| 1991 |
+
metrics:
|
| 1992 |
+
- type: cos_sim_spearman
|
| 1993 |
+
value: 81.86922869270393
|
| 1994 |
+
- task:
|
| 1995 |
+
type: STS
|
| 1996 |
+
dataset:
|
| 1997 |
+
type: mteb/sts15-sts
|
| 1998 |
+
name: MTEB STS15
|
| 1999 |
+
config: default
|
| 2000 |
+
split: test
|
| 2001 |
+
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
|
| 2002 |
+
metrics:
|
| 2003 |
+
- type: cos_sim_spearman
|
| 2004 |
+
value: 88.9399170304284
|
| 2005 |
+
- task:
|
| 2006 |
+
type: STS
|
| 2007 |
+
dataset:
|
| 2008 |
+
type: mteb/sts16-sts
|
| 2009 |
+
name: MTEB STS16
|
| 2010 |
+
config: default
|
| 2011 |
+
split: test
|
| 2012 |
+
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
|
| 2013 |
+
metrics:
|
| 2014 |
+
- type: cos_sim_spearman
|
| 2015 |
+
value: 85.38015314088582
|
| 2016 |
+
- task:
|
| 2017 |
+
type: STS
|
| 2018 |
+
dataset:
|
| 2019 |
+
type: mteb/sts17-crosslingual-sts
|
| 2020 |
+
name: MTEB STS17 (en-en)
|
| 2021 |
+
config: en-en
|
| 2022 |
+
split: test
|
| 2023 |
+
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
| 2024 |
+
metrics:
|
| 2025 |
+
- type: cos_sim_spearman
|
| 2026 |
+
value: 90.53653527788835
|
| 2027 |
+
- task:
|
| 2028 |
+
type: STS
|
| 2029 |
+
dataset:
|
| 2030 |
+
type: mteb/sts22-crosslingual-sts
|
| 2031 |
+
name: MTEB STS22 (en)
|
| 2032 |
+
config: en
|
| 2033 |
+
split: test
|
| 2034 |
+
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
|
| 2035 |
+
metrics:
|
| 2036 |
+
- type: cos_sim_spearman
|
| 2037 |
+
value: 68.64526474250209
|
| 2038 |
+
- task:
|
| 2039 |
+
type: STS
|
| 2040 |
+
dataset:
|
| 2041 |
+
type: mteb/stsbenchmark-sts
|
| 2042 |
+
name: MTEB STSBenchmark
|
| 2043 |
+
config: default
|
| 2044 |
+
split: test
|
| 2045 |
+
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
|
| 2046 |
+
metrics:
|
| 2047 |
+
- type: cos_sim_spearman
|
| 2048 |
+
value: 86.56156983963042
|
| 2049 |
+
- task:
|
| 2050 |
+
type: Reranking
|
| 2051 |
+
dataset:
|
| 2052 |
+
type: mteb/scidocs-reranking
|
| 2053 |
+
name: MTEB SciDocsRR
|
| 2054 |
+
config: default
|
| 2055 |
+
split: test
|
| 2056 |
+
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
|
| 2057 |
+
metrics:
|
| 2058 |
+
- type: map
|
| 2059 |
+
value: 79.48610254648003
|
| 2060 |
+
- type: mrr
|
| 2061 |
+
value: 94.02481505422682
|
| 2062 |
+
- task:
|
| 2063 |
+
type: Retrieval
|
| 2064 |
+
dataset:
|
| 2065 |
+
type: scifact
|
| 2066 |
+
name: MTEB SciFact
|
| 2067 |
+
config: default
|
| 2068 |
+
split: test
|
| 2069 |
+
revision: None
|
| 2070 |
+
metrics:
|
| 2071 |
+
- type: map_at_1
|
| 2072 |
+
value: 48.983
|
| 2073 |
+
- type: map_at_10
|
| 2074 |
+
value: 59.077999999999996
|
| 2075 |
+
- type: map_at_100
|
| 2076 |
+
value: 59.536
|
| 2077 |
+
- type: map_at_1000
|
| 2078 |
+
value: 59.575
|
| 2079 |
+
- type: map_at_3
|
| 2080 |
+
value: 55.691
|
| 2081 |
+
- type: map_at_5
|
| 2082 |
+
value: 57.410000000000004
|
| 2083 |
+
- type: mrr_at_1
|
| 2084 |
+
value: 51.666999999999994
|
| 2085 |
+
- type: mrr_at_10
|
| 2086 |
+
value: 60.427
|
| 2087 |
+
- type: mrr_at_100
|
| 2088 |
+
value: 60.763
|
| 2089 |
+
- type: mrr_at_1000
|
| 2090 |
+
value: 60.79900000000001
|
| 2091 |
+
- type: mrr_at_3
|
| 2092 |
+
value: 57.556
|
| 2093 |
+
- type: mrr_at_5
|
| 2094 |
+
value: 59.089000000000006
|
| 2095 |
+
- type: ndcg_at_1
|
| 2096 |
+
value: 51.666999999999994
|
| 2097 |
+
- type: ndcg_at_10
|
| 2098 |
+
value: 64.559
|
| 2099 |
+
- type: ndcg_at_100
|
| 2100 |
+
value: 66.58
|
| 2101 |
+
- type: ndcg_at_1000
|
| 2102 |
+
value: 67.64
|
| 2103 |
+
- type: ndcg_at_3
|
| 2104 |
+
value: 58.287
|
| 2105 |
+
- type: ndcg_at_5
|
| 2106 |
+
value: 61.001000000000005
|
| 2107 |
+
- type: precision_at_1
|
| 2108 |
+
value: 51.666999999999994
|
| 2109 |
+
- type: precision_at_10
|
| 2110 |
+
value: 9.067
|
| 2111 |
+
- type: precision_at_100
|
| 2112 |
+
value: 1.0170000000000001
|
| 2113 |
+
- type: precision_at_1000
|
| 2114 |
+
value: 0.11100000000000002
|
| 2115 |
+
- type: precision_at_3
|
| 2116 |
+
value: 23.0
|
| 2117 |
+
- type: precision_at_5
|
| 2118 |
+
value: 15.6
|
| 2119 |
+
- type: recall_at_1
|
| 2120 |
+
value: 48.983
|
| 2121 |
+
- type: recall_at_10
|
| 2122 |
+
value: 80.289
|
| 2123 |
+
- type: recall_at_100
|
| 2124 |
+
value: 89.43299999999999
|
| 2125 |
+
- type: recall_at_1000
|
| 2126 |
+
value: 97.667
|
| 2127 |
+
- type: recall_at_3
|
| 2128 |
+
value: 62.978
|
| 2129 |
+
- type: recall_at_5
|
| 2130 |
+
value: 69.872
|
| 2131 |
+
- task:
|
| 2132 |
+
type: PairClassification
|
| 2133 |
+
dataset:
|
| 2134 |
+
type: mteb/sprintduplicatequestions-pairclassification
|
| 2135 |
+
name: MTEB SprintDuplicateQuestions
|
| 2136 |
+
config: default
|
| 2137 |
+
split: test
|
| 2138 |
+
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
|
| 2139 |
+
metrics:
|
| 2140 |
+
- type: cos_sim_accuracy
|
| 2141 |
+
value: 99.79009900990098
|
| 2142 |
+
- type: cos_sim_ap
|
| 2143 |
+
value: 94.94115052608419
|
| 2144 |
+
- type: cos_sim_f1
|
| 2145 |
+
value: 89.1260162601626
|
| 2146 |
+
- type: cos_sim_precision
|
| 2147 |
+
value: 90.599173553719
|
| 2148 |
+
- type: cos_sim_recall
|
| 2149 |
+
value: 87.7
|
| 2150 |
+
- type: dot_accuracy
|
| 2151 |
+
value: 99.79009900990098
|
| 2152 |
+
- type: dot_ap
|
| 2153 |
+
value: 94.94115052608419
|
| 2154 |
+
- type: dot_f1
|
| 2155 |
+
value: 89.1260162601626
|
| 2156 |
+
- type: dot_precision
|
| 2157 |
+
value: 90.599173553719
|
| 2158 |
+
- type: dot_recall
|
| 2159 |
+
value: 87.7
|
| 2160 |
+
- type: euclidean_accuracy
|
| 2161 |
+
value: 99.79009900990098
|
| 2162 |
+
- type: euclidean_ap
|
| 2163 |
+
value: 94.94115052608419
|
| 2164 |
+
- type: euclidean_f1
|
| 2165 |
+
value: 89.1260162601626
|
| 2166 |
+
- type: euclidean_precision
|
| 2167 |
+
value: 90.599173553719
|
| 2168 |
+
- type: euclidean_recall
|
| 2169 |
+
value: 87.7
|
| 2170 |
+
- type: manhattan_accuracy
|
| 2171 |
+
value: 99.7940594059406
|
| 2172 |
+
- type: manhattan_ap
|
| 2173 |
+
value: 94.95271414642431
|
| 2174 |
+
- type: manhattan_f1
|
| 2175 |
+
value: 89.24508790072387
|
| 2176 |
+
- type: manhattan_precision
|
| 2177 |
+
value: 92.3982869379015
|
| 2178 |
+
- type: manhattan_recall
|
| 2179 |
+
value: 86.3
|
| 2180 |
+
- type: max_accuracy
|
| 2181 |
+
value: 99.7940594059406
|
| 2182 |
+
- type: max_ap
|
| 2183 |
+
value: 94.95271414642431
|
| 2184 |
+
- type: max_f1
|
| 2185 |
+
value: 89.24508790072387
|
| 2186 |
+
- task:
|
| 2187 |
+
type: Clustering
|
| 2188 |
+
dataset:
|
| 2189 |
+
type: mteb/stackexchange-clustering
|
| 2190 |
+
name: MTEB StackExchangeClustering
|
| 2191 |
+
config: default
|
| 2192 |
+
split: test
|
| 2193 |
+
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
|
| 2194 |
+
metrics:
|
| 2195 |
+
- type: v_measure
|
| 2196 |
+
value: 68.43866571935851
|
| 2197 |
+
- task:
|
| 2198 |
+
type: Clustering
|
| 2199 |
+
dataset:
|
| 2200 |
+
type: mteb/stackexchange-clustering-p2p
|
| 2201 |
+
name: MTEB StackExchangeClusteringP2P
|
| 2202 |
+
config: default
|
| 2203 |
+
split: test
|
| 2204 |
+
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
|
| 2205 |
+
metrics:
|
| 2206 |
+
- type: v_measure
|
| 2207 |
+
value: 35.16579026551532
|
| 2208 |
+
- task:
|
| 2209 |
+
type: Reranking
|
| 2210 |
+
dataset:
|
| 2211 |
+
type: mteb/stackoverflowdupquestions-reranking
|
| 2212 |
+
name: MTEB StackOverflowDupQuestions
|
| 2213 |
+
config: default
|
| 2214 |
+
split: test
|
| 2215 |
+
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
|
| 2216 |
+
metrics:
|
| 2217 |
+
- type: map
|
| 2218 |
+
value: 52.518952473513934
|
| 2219 |
+
- type: mrr
|
| 2220 |
+
value: 53.292457134368895
|
| 2221 |
+
- task:
|
| 2222 |
+
type: Summarization
|
| 2223 |
+
dataset:
|
| 2224 |
+
type: mteb/summeval
|
| 2225 |
+
name: MTEB SummEval
|
| 2226 |
+
config: default
|
| 2227 |
+
split: test
|
| 2228 |
+
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
|
| 2229 |
+
metrics:
|
| 2230 |
+
- type: cos_sim_pearson
|
| 2231 |
+
value: 31.12529588316604
|
| 2232 |
+
- type: cos_sim_spearman
|
| 2233 |
+
value: 32.31662126895294
|
| 2234 |
+
- type: dot_pearson
|
| 2235 |
+
value: 31.125303796647056
|
| 2236 |
+
- type: dot_spearman
|
| 2237 |
+
value: 32.31662126895294
|
| 2238 |
+
- task:
|
| 2239 |
+
type: Retrieval
|
| 2240 |
+
dataset:
|
| 2241 |
+
type: trec-covid
|
| 2242 |
+
name: MTEB TRECCOVID
|
| 2243 |
+
config: default
|
| 2244 |
+
split: test
|
| 2245 |
+
revision: None
|
| 2246 |
+
metrics:
|
| 2247 |
+
- type: map_at_1
|
| 2248 |
+
value: 0.219
|
| 2249 |
+
- type: map_at_10
|
| 2250 |
+
value: 1.7469999999999999
|
| 2251 |
+
- type: map_at_100
|
| 2252 |
+
value: 10.177999999999999
|
| 2253 |
+
- type: map_at_1000
|
| 2254 |
+
value: 26.108999999999998
|
| 2255 |
+
- type: map_at_3
|
| 2256 |
+
value: 0.64
|
| 2257 |
+
- type: map_at_5
|
| 2258 |
+
value: 0.968
|
| 2259 |
+
- type: mrr_at_1
|
| 2260 |
+
value: 82.0
|
| 2261 |
+
- type: mrr_at_10
|
| 2262 |
+
value: 89.067
|
| 2263 |
+
- type: mrr_at_100
|
| 2264 |
+
value: 89.067
|
| 2265 |
+
- type: mrr_at_1000
|
| 2266 |
+
value: 89.067
|
| 2267 |
+
- type: mrr_at_3
|
| 2268 |
+
value: 88.333
|
| 2269 |
+
- type: mrr_at_5
|
| 2270 |
+
value: 88.73299999999999
|
| 2271 |
+
- type: ndcg_at_1
|
| 2272 |
+
value: 78.0
|
| 2273 |
+
- type: ndcg_at_10
|
| 2274 |
+
value: 71.398
|
| 2275 |
+
- type: ndcg_at_100
|
| 2276 |
+
value: 55.574999999999996
|
| 2277 |
+
- type: ndcg_at_1000
|
| 2278 |
+
value: 51.771
|
| 2279 |
+
- type: ndcg_at_3
|
| 2280 |
+
value: 77.765
|
| 2281 |
+
- type: ndcg_at_5
|
| 2282 |
+
value: 73.614
|
| 2283 |
+
- type: precision_at_1
|
| 2284 |
+
value: 82.0
|
| 2285 |
+
- type: precision_at_10
|
| 2286 |
+
value: 75.4
|
| 2287 |
+
- type: precision_at_100
|
| 2288 |
+
value: 58.040000000000006
|
| 2289 |
+
- type: precision_at_1000
|
| 2290 |
+
value: 23.516000000000002
|
| 2291 |
+
- type: precision_at_3
|
| 2292 |
+
value: 84.0
|
| 2293 |
+
- type: precision_at_5
|
| 2294 |
+
value: 78.4
|
| 2295 |
+
- type: recall_at_1
|
| 2296 |
+
value: 0.219
|
| 2297 |
+
- type: recall_at_10
|
| 2298 |
+
value: 1.958
|
| 2299 |
+
- type: recall_at_100
|
| 2300 |
+
value: 13.797999999999998
|
| 2301 |
+
- type: recall_at_1000
|
| 2302 |
+
value: 49.881
|
| 2303 |
+
- type: recall_at_3
|
| 2304 |
+
value: 0.672
|
| 2305 |
+
- type: recall_at_5
|
| 2306 |
+
value: 1.0370000000000001
|
| 2307 |
+
- task:
|
| 2308 |
+
type: Retrieval
|
| 2309 |
+
dataset:
|
| 2310 |
+
type: webis-touche2020
|
| 2311 |
+
name: MTEB Touche2020
|
| 2312 |
+
config: default
|
| 2313 |
+
split: test
|
| 2314 |
+
revision: None
|
| 2315 |
+
metrics:
|
| 2316 |
+
- type: map_at_1
|
| 2317 |
+
value: 1.8610000000000002
|
| 2318 |
+
- type: map_at_10
|
| 2319 |
+
value: 8.705
|
| 2320 |
+
- type: map_at_100
|
| 2321 |
+
value: 15.164
|
| 2322 |
+
- type: map_at_1000
|
| 2323 |
+
value: 16.78
|
| 2324 |
+
- type: map_at_3
|
| 2325 |
+
value: 4.346
|
| 2326 |
+
- type: map_at_5
|
| 2327 |
+
value: 6.151
|
| 2328 |
+
- type: mrr_at_1
|
| 2329 |
+
value: 22.448999999999998
|
| 2330 |
+
- type: mrr_at_10
|
| 2331 |
+
value: 41.556
|
| 2332 |
+
- type: mrr_at_100
|
| 2333 |
+
value: 42.484
|
| 2334 |
+
- type: mrr_at_1000
|
| 2335 |
+
value: 42.494
|
| 2336 |
+
- type: mrr_at_3
|
| 2337 |
+
value: 37.755
|
| 2338 |
+
- type: mrr_at_5
|
| 2339 |
+
value: 40.102
|
| 2340 |
+
- type: ndcg_at_1
|
| 2341 |
+
value: 21.429000000000002
|
| 2342 |
+
- type: ndcg_at_10
|
| 2343 |
+
value: 23.439
|
| 2344 |
+
- type: ndcg_at_100
|
| 2345 |
+
value: 36.948
|
| 2346 |
+
- type: ndcg_at_1000
|
| 2347 |
+
value: 48.408
|
| 2348 |
+
- type: ndcg_at_3
|
| 2349 |
+
value: 22.261
|
| 2350 |
+
- type: ndcg_at_5
|
| 2351 |
+
value: 23.085
|
| 2352 |
+
- type: precision_at_1
|
| 2353 |
+
value: 22.448999999999998
|
| 2354 |
+
- type: precision_at_10
|
| 2355 |
+
value: 21.633
|
| 2356 |
+
- type: precision_at_100
|
| 2357 |
+
value: 8.02
|
| 2358 |
+
- type: precision_at_1000
|
| 2359 |
+
value: 1.5939999999999999
|
| 2360 |
+
- type: precision_at_3
|
| 2361 |
+
value: 23.810000000000002
|
| 2362 |
+
- type: precision_at_5
|
| 2363 |
+
value: 24.490000000000002
|
| 2364 |
+
- type: recall_at_1
|
| 2365 |
+
value: 1.8610000000000002
|
| 2366 |
+
- type: recall_at_10
|
| 2367 |
+
value: 15.876000000000001
|
| 2368 |
+
- type: recall_at_100
|
| 2369 |
+
value: 50.300999999999995
|
| 2370 |
+
- type: recall_at_1000
|
| 2371 |
+
value: 86.098
|
| 2372 |
+
- type: recall_at_3
|
| 2373 |
+
value: 5.892
|
| 2374 |
+
- type: recall_at_5
|
| 2375 |
+
value: 9.443
|
| 2376 |
+
- task:
|
| 2377 |
+
type: Classification
|
| 2378 |
+
dataset:
|
| 2379 |
+
type: mteb/toxic_conversations_50k
|
| 2380 |
+
name: MTEB ToxicConversationsClassification
|
| 2381 |
+
config: default
|
| 2382 |
+
split: test
|
| 2383 |
+
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
|
| 2384 |
+
metrics:
|
| 2385 |
+
- type: accuracy
|
| 2386 |
+
value: 70.3264
|
| 2387 |
+
- type: ap
|
| 2388 |
+
value: 13.249577616243794
|
| 2389 |
+
- type: f1
|
| 2390 |
+
value: 53.621518367695685
|
| 2391 |
+
- task:
|
| 2392 |
+
type: Classification
|
| 2393 |
+
dataset:
|
| 2394 |
+
type: mteb/tweet_sentiment_extraction
|
| 2395 |
+
name: MTEB TweetSentimentExtractionClassification
|
| 2396 |
+
config: default
|
| 2397 |
+
split: test
|
| 2398 |
+
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
|
| 2399 |
+
metrics:
|
| 2400 |
+
- type: accuracy
|
| 2401 |
+
value: 61.57611771363894
|
| 2402 |
+
- type: f1
|
| 2403 |
+
value: 61.79797478568639
|
| 2404 |
+
- task:
|
| 2405 |
+
type: Clustering
|
| 2406 |
+
dataset:
|
| 2407 |
+
type: mteb/twentynewsgroups-clustering
|
| 2408 |
+
name: MTEB TwentyNewsgroupsClustering
|
| 2409 |
+
config: default
|
| 2410 |
+
split: test
|
| 2411 |
+
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
|
| 2412 |
+
metrics:
|
| 2413 |
+
- type: v_measure
|
| 2414 |
+
value: 53.38315344479284
|
| 2415 |
+
- task:
|
| 2416 |
+
type: PairClassification
|
| 2417 |
+
dataset:
|
| 2418 |
+
type: mteb/twittersemeval2015-pairclassification
|
| 2419 |
+
name: MTEB TwitterSemEval2015
|
| 2420 |
+
config: default
|
| 2421 |
+
split: test
|
| 2422 |
+
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
| 2423 |
+
metrics:
|
| 2424 |
+
- type: cos_sim_accuracy
|
| 2425 |
+
value: 87.55438993860642
|
| 2426 |
+
- type: cos_sim_ap
|
| 2427 |
+
value: 77.98702600017738
|
| 2428 |
+
- type: cos_sim_f1
|
| 2429 |
+
value: 71.94971653931476
|
| 2430 |
+
- type: cos_sim_precision
|
| 2431 |
+
value: 67.50693802035153
|
| 2432 |
+
- type: cos_sim_recall
|
| 2433 |
+
value: 77.01846965699208
|
| 2434 |
+
- type: dot_accuracy
|
| 2435 |
+
value: 87.55438993860642
|
| 2436 |
+
- type: dot_ap
|
| 2437 |
+
value: 77.98702925907986
|
| 2438 |
+
- type: dot_f1
|
| 2439 |
+
value: 71.94971653931476
|
| 2440 |
+
- type: dot_precision
|
| 2441 |
+
value: 67.50693802035153
|
| 2442 |
+
- type: dot_recall
|
| 2443 |
+
value: 77.01846965699208
|
| 2444 |
+
- type: euclidean_accuracy
|
| 2445 |
+
value: 87.55438993860642
|
| 2446 |
+
- type: euclidean_ap
|
| 2447 |
+
value: 77.98702951957925
|
| 2448 |
+
- type: euclidean_f1
|
| 2449 |
+
value: 71.94971653931476
|
| 2450 |
+
- type: euclidean_precision
|
| 2451 |
+
value: 67.50693802035153
|
| 2452 |
+
- type: euclidean_recall
|
| 2453 |
+
value: 77.01846965699208
|
| 2454 |
+
- type: manhattan_accuracy
|
| 2455 |
+
value: 87.54246885617214
|
| 2456 |
+
- type: manhattan_ap
|
| 2457 |
+
value: 77.95531413902947
|
| 2458 |
+
- type: manhattan_f1
|
| 2459 |
+
value: 71.93605683836589
|
| 2460 |
+
- type: manhattan_precision
|
| 2461 |
+
value: 69.28152492668622
|
| 2462 |
+
- type: manhattan_recall
|
| 2463 |
+
value: 74.80211081794195
|
| 2464 |
+
- type: max_accuracy
|
| 2465 |
+
value: 87.55438993860642
|
| 2466 |
+
- type: max_ap
|
| 2467 |
+
value: 77.98702951957925
|
| 2468 |
+
- type: max_f1
|
| 2469 |
+
value: 71.94971653931476
|
| 2470 |
+
- task:
|
| 2471 |
+
type: PairClassification
|
| 2472 |
+
dataset:
|
| 2473 |
+
type: mteb/twitterurlcorpus-pairclassification
|
| 2474 |
+
name: MTEB TwitterURLCorpus
|
| 2475 |
+
config: default
|
| 2476 |
+
split: test
|
| 2477 |
+
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
| 2478 |
+
metrics:
|
| 2479 |
+
- type: cos_sim_accuracy
|
| 2480 |
+
value: 89.47296930182016
|
| 2481 |
+
- type: cos_sim_ap
|
| 2482 |
+
value: 86.92853616302108
|
| 2483 |
+
- type: cos_sim_f1
|
| 2484 |
+
value: 79.35138351681047
|
| 2485 |
+
- type: cos_sim_precision
|
| 2486 |
+
value: 76.74820143884892
|
| 2487 |
+
- type: cos_sim_recall
|
| 2488 |
+
value: 82.13735756082538
|
| 2489 |
+
- type: dot_accuracy
|
| 2490 |
+
value: 89.47296930182016
|
| 2491 |
+
- type: dot_ap
|
| 2492 |
+
value: 86.92854339601595
|
| 2493 |
+
- type: dot_f1
|
| 2494 |
+
value: 79.35138351681047
|
| 2495 |
+
- type: dot_precision
|
| 2496 |
+
value: 76.74820143884892
|
| 2497 |
+
- type: dot_recall
|
| 2498 |
+
value: 82.13735756082538
|
| 2499 |
+
- type: euclidean_accuracy
|
| 2500 |
+
value: 89.47296930182016
|
| 2501 |
+
- type: euclidean_ap
|
| 2502 |
+
value: 86.92854191061649
|
| 2503 |
+
- type: euclidean_f1
|
| 2504 |
+
value: 79.35138351681047
|
| 2505 |
+
- type: euclidean_precision
|
| 2506 |
+
value: 76.74820143884892
|
| 2507 |
+
- type: euclidean_recall
|
| 2508 |
+
value: 82.13735756082538
|
| 2509 |
+
- type: manhattan_accuracy
|
| 2510 |
+
value: 89.47685023479644
|
| 2511 |
+
- type: manhattan_ap
|
| 2512 |
+
value: 86.90063722679578
|
| 2513 |
+
- type: manhattan_f1
|
| 2514 |
+
value: 79.30753865502702
|
| 2515 |
+
- type: manhattan_precision
|
| 2516 |
+
value: 76.32066068631639
|
| 2517 |
+
- type: manhattan_recall
|
| 2518 |
+
value: 82.53772713273791
|
| 2519 |
+
- type: max_accuracy
|
| 2520 |
+
value: 89.47685023479644
|
| 2521 |
+
- type: max_ap
|
| 2522 |
+
value: 86.92854339601595
|
| 2523 |
+
- type: max_f1
|
| 2524 |
+
value: 79.35138351681047
|
| 2525 |
---
|
| 2526 |
|
| 2527 |
# hkunlp/instructor-xl
|