Update README.md
Browse files
README.md
CHANGED
@@ -117,53 +117,925 @@ model-index:
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value: 59.744
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- type: recall_at_5
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value: 70.626
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- task:
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type: Reranking
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dataset:
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-
type: mteb/askubuntudupquestions-reranking
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-
name: MTEB AskUbuntuDupQuestions
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config: default
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split: test
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-
revision:
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metrics:
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-
- type:
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-
value:
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-
- type:
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-
value:
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- task:
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-
type:
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dataset:
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-
type:
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-
name: MTEB
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config: default
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split: test
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-
revision:
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metrics:
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-
- type:
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-
value:
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-
- type:
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value:
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- type:
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value:
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- type:
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value:
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- type:
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value:
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value:
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- task:
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-
type:
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dataset:
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-
type:
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-
name: MTEB
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config: default
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split: test
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-
revision:
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metrics:
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-
- type:
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value:
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- type:
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value:
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- task:
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type: Classification
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dataset:
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@@ -244,6 +1116,63 @@ model-index:
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value: 77.95897780766644
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- type: f1
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value: 77.80380046125542
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- task:
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type: STS
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dataset:
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value: 86.2546330637872
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- type: manhattan_spearman
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value: 86.46309860938591
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- task:
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type: PairClassification
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dataset:
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@@ -471,7 +1413,7 @@ model-index:
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- type: euclidean_precision
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value: 94.04388714733543
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- type: euclidean_recall
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-
value: 90
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- type: manhattan_accuracy
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value: 99.84158415841584
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- type: manhattan_ap
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value: 96.25445889914926
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- type: max_f1
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value: 92.03805708562844
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- task:
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type: Classification
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dataset:
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@@ -516,6 +1493,17 @@ model-index:
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value: 60.01980758347483
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- type: f1
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value: 60.35679678249753
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- task:
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type: PairClassification
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dataset:
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value: 59.744
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- type: recall_at_5
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value: 70.626
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+
- task:
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type: Clustering
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+
dataset:
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type: mteb/arxiv-clustering-p2p
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name: MTEB ArxivClusteringP2P
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config: default
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+
split: test
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+
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
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+
metrics:
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+
- type: v_measure
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+
value: 46.91874634333147
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+
- task:
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+
type: Clustering
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+
dataset:
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type: mteb/arxiv-clustering-s2s
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name: MTEB ArxivClusteringS2S
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+
config: default
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+
split: test
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+
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
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+
metrics:
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+
- type: v_measure
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+
value: 39.1201020016146
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- task:
|
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type: Reranking
|
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dataset:
|
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+
type: mteb/askubuntudupquestions-reranking
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+
name: MTEB AskUbuntuDupQuestions
|
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+
config: default
|
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+
split: test
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+
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
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+
metrics:
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+
- type: map
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value: 62.40334669601722
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+
- type: mrr
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+
value: 75.33175042870333
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+
- task:
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+
type: STS
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+
dataset:
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+
type: mteb/biosses-sts
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name: MTEB BIOSSES
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+
config: default
|
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+
split: test
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+
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
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164 |
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165 |
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value: 88.00433892980047
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166 |
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176 |
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|
177 |
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type: Classification
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178 |
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dataset:
|
179 |
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type: mteb/banking77
|
180 |
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name: MTEB Banking77Classification
|
181 |
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config: default
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182 |
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split: test
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183 |
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revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
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metrics:
|
185 |
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- type: accuracy
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186 |
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value: 85.1038961038961
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187 |
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- type: f1
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188 |
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value: 85.06851570045757
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- task:
|
190 |
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type: Clustering
|
191 |
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dataset:
|
192 |
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type: mteb/biorxiv-clustering-p2p
|
193 |
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name: MTEB BiorxivClusteringP2P
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194 |
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config: default
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195 |
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split: test
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196 |
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revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
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metrics:
|
198 |
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- type: v_measure
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199 |
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value: 37.42637694389153
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200 |
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- task:
|
201 |
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type: Clustering
|
202 |
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dataset:
|
203 |
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type: mteb/biorxiv-clustering-s2s
|
204 |
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name: MTEB BiorxivClusteringS2S
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205 |
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config: default
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206 |
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split: test
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207 |
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revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
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208 |
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metrics:
|
209 |
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- type: v_measure
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210 |
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value: 33.89440321125906
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211 |
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- task:
|
212 |
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type: Retrieval
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dataset:
|
214 |
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type: BeIR/cqadupstack
|
215 |
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name: MTEB CQADupstackAndroidRetrieval
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216 |
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config: default
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217 |
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split: test
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218 |
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revision: None
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219 |
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metrics:
|
220 |
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221 |
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value: 28.111000000000004
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222 |
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value: 34.335
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258 |
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value: 8.784
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value: 1.4460000000000002
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value: 0.193
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value: 19.361
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266 |
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value: 14.249
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value: 28.111000000000004
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value: 58.372
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value: 81.631
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value: 42.863
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278 |
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- type: recall_at_5
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value: 50.924
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280 |
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- task:
|
281 |
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type: Retrieval
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282 |
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dataset:
|
283 |
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type: BeIR/cqadupstack
|
284 |
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name: MTEB CQADupstackEnglishRetrieval
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285 |
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config: default
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286 |
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split: test
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287 |
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revision: None
|
288 |
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metrics:
|
289 |
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- type: map_at_1
|
290 |
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value: 28.437
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291 |
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- type: map_at_10
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292 |
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value: 37.942
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293 |
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value: 39.108
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value: 39.242
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297 |
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value: 35.419
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299 |
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300 |
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value: 36.825
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301 |
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302 |
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value: 35.35
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303 |
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304 |
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value: 43.855
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305 |
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306 |
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value: 44.543
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307 |
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308 |
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value: 44.588
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309 |
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310 |
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value: 41.826
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311 |
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312 |
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value: 42.937
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313 |
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314 |
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value: 35.35
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315 |
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|
316 |
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value: 43.32
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317 |
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|
318 |
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value: 47.769
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319 |
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320 |
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value: 49.979
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321 |
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322 |
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value: 39.709
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323 |
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324 |
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value: 41.316
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325 |
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326 |
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value: 35.35
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327 |
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|
328 |
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value: 7.994
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329 |
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- type: precision_at_100
|
330 |
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value: 1.323
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331 |
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332 |
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value: 0.182
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333 |
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|
334 |
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value: 18.96
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335 |
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- type: precision_at_5
|
336 |
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value: 13.236
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337 |
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- type: recall_at_1
|
338 |
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value: 28.437
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339 |
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- type: recall_at_10
|
340 |
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value: 52.531000000000006
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341 |
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- type: recall_at_100
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342 |
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value: 71.79299999999999
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343 |
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- type: recall_at_1000
|
344 |
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value: 85.675
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345 |
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- type: recall_at_3
|
346 |
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value: 41.605
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347 |
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- type: recall_at_5
|
348 |
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value: 46.32
|
349 |
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- task:
|
350 |
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type: Retrieval
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351 |
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dataset:
|
352 |
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type: BeIR/cqadupstack
|
353 |
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name: MTEB CQADupstackGamingRetrieval
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354 |
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config: default
|
355 |
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split: test
|
356 |
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revision: None
|
357 |
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metrics:
|
358 |
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- type: map_at_1
|
359 |
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value: 37.364999999999995
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360 |
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- type: map_at_10
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361 |
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value: 49.324
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362 |
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363 |
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value: 50.458999999999996
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364 |
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365 |
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value: 50.512
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366 |
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367 |
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value: 45.96
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368 |
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|
369 |
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value: 47.934
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370 |
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371 |
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value: 43.009
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372 |
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373 |
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value: 52.946000000000005
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374 |
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375 |
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value: 53.74100000000001
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377 |
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value: 53.76800000000001
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379 |
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value: 50.554
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380 |
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381 |
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value: 51.964
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382 |
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383 |
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value: 43.009
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384 |
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385 |
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value: 55.143
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386 |
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387 |
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value: 59.653999999999996
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388 |
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389 |
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value: 60.805
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390 |
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391 |
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value: 49.605
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392 |
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393 |
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value: 52.437
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394 |
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395 |
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value: 43.009
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396 |
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397 |
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value: 8.984
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398 |
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399 |
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value: 1.209
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400 |
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401 |
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value: 0.135
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402 |
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|
403 |
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value: 22.09
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404 |
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- type: precision_at_5
|
405 |
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value: 15.423
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406 |
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- type: recall_at_1
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407 |
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value: 37.364999999999995
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408 |
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- type: recall_at_10
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409 |
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value: 68.657
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410 |
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- type: recall_at_100
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411 |
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value: 88.155
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412 |
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- type: recall_at_1000
|
413 |
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value: 96.48400000000001
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414 |
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|
415 |
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value: 54.186
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416 |
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- type: recall_at_5
|
417 |
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value: 60.848
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418 |
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- task:
|
419 |
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type: Retrieval
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420 |
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dataset:
|
421 |
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type: BeIR/cqadupstack
|
422 |
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name: MTEB CQADupstackGisRetrieval
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423 |
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config: default
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424 |
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split: test
|
425 |
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revision: None
|
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metrics:
|
427 |
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- type: map_at_1
|
428 |
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value: 23.827
|
429 |
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|
430 |
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value: 31.721
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431 |
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432 |
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value: 32.812999999999995
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434 |
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value: 32.89
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435 |
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value: 29.238999999999997
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437 |
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438 |
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440 |
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value: 25.650000000000002
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441 |
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442 |
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value: 33.642
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443 |
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|
444 |
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value: 34.595
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445 |
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446 |
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448 |
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value: 31.205
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449 |
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450 |
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451 |
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452 |
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453 |
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|
454 |
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455 |
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456 |
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457 |
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458 |
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459 |
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461 |
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462 |
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value: 33.701
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463 |
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464 |
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value: 25.650000000000002
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465 |
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|
466 |
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value: 5.582
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467 |
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|
468 |
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value: 0.872
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469 |
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|
470 |
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value: 0.108
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471 |
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|
472 |
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value: 13.107
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473 |
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- type: precision_at_5
|
474 |
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value: 9.198
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475 |
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476 |
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value: 23.827
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477 |
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- type: recall_at_10
|
478 |
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value: 48.9
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479 |
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|
480 |
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value: 73.917
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481 |
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- type: recall_at_1000
|
482 |
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value: 88.787
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483 |
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|
484 |
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value: 35.498000000000005
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485 |
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- type: recall_at_5
|
486 |
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value: 40.929
|
487 |
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- task:
|
488 |
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type: Retrieval
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489 |
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dataset:
|
490 |
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type: BeIR/cqadupstack
|
491 |
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name: MTEB CQADupstackMathematicaRetrieval
|
492 |
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config: default
|
493 |
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split: test
|
494 |
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revision: None
|
495 |
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metrics:
|
496 |
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- type: map_at_1
|
497 |
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value: 15.47
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498 |
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|
499 |
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value: 22.679
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500 |
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|
501 |
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value: 23.823
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502 |
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|
503 |
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504 |
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|
505 |
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506 |
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|
507 |
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508 |
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509 |
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value: 18.781
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510 |
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511 |
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512 |
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513 |
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514 |
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515 |
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517 |
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518 |
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519 |
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521 |
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522 |
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523 |
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524 |
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|
525 |
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526 |
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527 |
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529 |
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530 |
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|
531 |
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532 |
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533 |
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534 |
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|
535 |
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536 |
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537 |
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538 |
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539 |
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540 |
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|
541 |
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542 |
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|
543 |
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544 |
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|
545 |
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546 |
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|
547 |
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|
549 |
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550 |
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551 |
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552 |
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|
553 |
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554 |
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- type: recall_at_5
|
555 |
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value: 31.196
|
556 |
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- task:
|
557 |
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type: Retrieval
|
558 |
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dataset:
|
559 |
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type: BeIR/cqadupstack
|
560 |
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name: MTEB CQADupstackPhysicsRetrieval
|
561 |
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config: default
|
562 |
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split: test
|
563 |
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revision: None
|
564 |
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metrics:
|
565 |
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- type: map_at_1
|
566 |
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value: 26.285999999999998
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567 |
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|
568 |
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569 |
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570 |
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571 |
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572 |
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573 |
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|
574 |
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575 |
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|
576 |
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577 |
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|
578 |
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579 |
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|
580 |
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581 |
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|
582 |
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583 |
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|
584 |
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value: 42.047000000000004
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585 |
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- type: mrr_at_3
|
586 |
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value: 38.466
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587 |
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- type: mrr_at_5
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588 |
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value: 39.766
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589 |
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- type: ndcg_at_1
|
590 |
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value: 32.05
|
591 |
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- type: ndcg_at_10
|
592 |
+
value: 41.516999999999996
|
593 |
+
- type: ndcg_at_100
|
594 |
+
value: 47.083999999999996
|
595 |
+
- type: ndcg_at_1000
|
596 |
+
value: 49.309
|
597 |
+
- type: ndcg_at_3
|
598 |
+
value: 36.254999999999995
|
599 |
+
- type: ndcg_at_5
|
600 |
+
value: 38.346999999999994
|
601 |
+
- type: precision_at_1
|
602 |
+
value: 32.05
|
603 |
+
- type: precision_at_10
|
604 |
+
value: 7.536
|
605 |
+
- type: precision_at_100
|
606 |
+
value: 1.202
|
607 |
+
- type: precision_at_1000
|
608 |
+
value: 0.158
|
609 |
+
- type: precision_at_3
|
610 |
+
value: 17.004
|
611 |
+
- type: precision_at_5
|
612 |
+
value: 11.973
|
613 |
+
- type: recall_at_1
|
614 |
+
value: 26.285999999999998
|
615 |
+
- type: recall_at_10
|
616 |
+
value: 53.667
|
617 |
+
- type: recall_at_100
|
618 |
+
value: 76.97
|
619 |
+
- type: recall_at_1000
|
620 |
+
value: 91.691
|
621 |
+
- type: recall_at_3
|
622 |
+
value: 38.571
|
623 |
+
- type: recall_at_5
|
624 |
+
value: 44.131
|
625 |
+
- task:
|
626 |
+
type: Retrieval
|
627 |
+
dataset:
|
628 |
+
type: BeIR/cqadupstack
|
629 |
+
name: MTEB CQADupstackProgrammersRetrieval
|
630 |
+
config: default
|
631 |
+
split: test
|
632 |
+
revision: None
|
633 |
+
metrics:
|
634 |
+
- type: map_at_1
|
635 |
+
value: 22.595000000000002
|
636 |
+
- type: map_at_10
|
637 |
+
value: 31.352000000000004
|
638 |
+
- type: map_at_100
|
639 |
+
value: 32.652
|
640 |
+
- type: map_at_1000
|
641 |
+
value: 32.774
|
642 |
+
- type: map_at_3
|
643 |
+
value: 28.238000000000003
|
644 |
+
- type: map_at_5
|
645 |
+
value: 30.178
|
646 |
+
- type: mrr_at_1
|
647 |
+
value: 27.626
|
648 |
+
- type: mrr_at_10
|
649 |
+
value: 36.351
|
650 |
+
- type: mrr_at_100
|
651 |
+
value: 37.297000000000004
|
652 |
+
- type: mrr_at_1000
|
653 |
+
value: 37.362
|
654 |
+
- type: mrr_at_3
|
655 |
+
value: 33.885
|
656 |
+
- type: mrr_at_5
|
657 |
+
value: 35.358000000000004
|
658 |
+
- type: ndcg_at_1
|
659 |
+
value: 27.626
|
660 |
+
- type: ndcg_at_10
|
661 |
+
value: 36.795
|
662 |
+
- type: ndcg_at_100
|
663 |
+
value: 42.808
|
664 |
+
- type: ndcg_at_1000
|
665 |
+
value: 45.417
|
666 |
+
- type: ndcg_at_3
|
667 |
+
value: 31.744
|
668 |
+
- type: ndcg_at_5
|
669 |
+
value: 34.407
|
670 |
+
- type: precision_at_1
|
671 |
+
value: 27.626
|
672 |
+
- type: precision_at_10
|
673 |
+
value: 6.781
|
674 |
+
- type: precision_at_100
|
675 |
+
value: 1.159
|
676 |
+
- type: precision_at_1000
|
677 |
+
value: 0.155
|
678 |
+
- type: precision_at_3
|
679 |
+
value: 15.221000000000002
|
680 |
+
- type: precision_at_5
|
681 |
+
value: 11.279
|
682 |
+
- type: recall_at_1
|
683 |
+
value: 22.595000000000002
|
684 |
+
- type: recall_at_10
|
685 |
+
value: 48.126000000000005
|
686 |
+
- type: recall_at_100
|
687 |
+
value: 74.24300000000001
|
688 |
+
- type: recall_at_1000
|
689 |
+
value: 92.276
|
690 |
+
- type: recall_at_3
|
691 |
+
value: 34.346
|
692 |
+
- type: recall_at_5
|
693 |
+
value: 41.065000000000005
|
694 |
+
- task:
|
695 |
+
type: Retrieval
|
696 |
+
dataset:
|
697 |
+
type: BeIR/cqadupstack
|
698 |
+
name: MTEB CQADupstackStatsRetrieval
|
699 |
+
config: default
|
700 |
+
split: test
|
701 |
+
revision: None
|
702 |
+
metrics:
|
703 |
+
- type: map_at_1
|
704 |
+
value: 22.237000000000002
|
705 |
+
- type: map_at_10
|
706 |
+
value: 28.626
|
707 |
+
- type: map_at_100
|
708 |
+
value: 29.494999999999997
|
709 |
+
- type: map_at_1000
|
710 |
+
value: 29.587999999999997
|
711 |
+
- type: map_at_3
|
712 |
+
value: 26.747
|
713 |
+
- type: map_at_5
|
714 |
+
value: 27.903
|
715 |
+
- type: mrr_at_1
|
716 |
+
value: 24.847
|
717 |
+
- type: mrr_at_10
|
718 |
+
value: 31.091
|
719 |
+
- type: mrr_at_100
|
720 |
+
value: 31.91
|
721 |
+
- type: mrr_at_1000
|
722 |
+
value: 31.977
|
723 |
+
- type: mrr_at_3
|
724 |
+
value: 29.218
|
725 |
+
- type: mrr_at_5
|
726 |
+
value: 30.391000000000002
|
727 |
+
- type: ndcg_at_1
|
728 |
+
value: 24.847
|
729 |
+
- type: ndcg_at_10
|
730 |
+
value: 32.452999999999996
|
731 |
+
- type: ndcg_at_100
|
732 |
+
value: 37.009
|
733 |
+
- type: ndcg_at_1000
|
734 |
+
value: 39.425
|
735 |
+
- type: ndcg_at_3
|
736 |
+
value: 28.848000000000003
|
737 |
+
- type: ndcg_at_5
|
738 |
+
value: 30.752000000000002
|
739 |
+
- type: precision_at_1
|
740 |
+
value: 24.847
|
741 |
+
- type: precision_at_10
|
742 |
+
value: 4.968999999999999
|
743 |
+
- type: precision_at_100
|
744 |
+
value: 0.8009999999999999
|
745 |
+
- type: precision_at_1000
|
746 |
+
value: 0.107
|
747 |
+
- type: precision_at_3
|
748 |
+
value: 12.321
|
749 |
+
- type: precision_at_5
|
750 |
+
value: 8.62
|
751 |
+
- type: recall_at_1
|
752 |
+
value: 22.237000000000002
|
753 |
+
- type: recall_at_10
|
754 |
+
value: 41.942
|
755 |
+
- type: recall_at_100
|
756 |
+
value: 62.907000000000004
|
757 |
+
- type: recall_at_1000
|
758 |
+
value: 81.035
|
759 |
+
- type: recall_at_3
|
760 |
+
value: 32.05
|
761 |
+
- type: recall_at_5
|
762 |
+
value: 36.695
|
763 |
+
- task:
|
764 |
+
type: Retrieval
|
765 |
+
dataset:
|
766 |
+
type: BeIR/cqadupstack
|
767 |
+
name: MTEB CQADupstackTexRetrieval
|
768 |
config: default
|
769 |
split: test
|
770 |
+
revision: None
|
771 |
metrics:
|
772 |
+
- type: map_at_1
|
773 |
+
value: 14.835
|
774 |
+
- type: map_at_10
|
775 |
+
value: 21.124000000000002
|
776 |
+
- type: map_at_100
|
777 |
+
value: 22.133
|
778 |
+
- type: map_at_1000
|
779 |
+
value: 22.258
|
780 |
+
- type: map_at_3
|
781 |
+
value: 19.076999999999998
|
782 |
+
- type: map_at_5
|
783 |
+
value: 20.18
|
784 |
+
- type: mrr_at_1
|
785 |
+
value: 17.791
|
786 |
+
- type: mrr_at_10
|
787 |
+
value: 24.438
|
788 |
+
- type: mrr_at_100
|
789 |
+
value: 25.332
|
790 |
+
- type: mrr_at_1000
|
791 |
+
value: 25.417
|
792 |
+
- type: mrr_at_3
|
793 |
+
value: 22.425
|
794 |
+
- type: mrr_at_5
|
795 |
+
value: 23.524
|
796 |
+
- type: ndcg_at_1
|
797 |
+
value: 17.791
|
798 |
+
- type: ndcg_at_10
|
799 |
+
value: 25.27
|
800 |
+
- type: ndcg_at_100
|
801 |
+
value: 30.362000000000002
|
802 |
+
- type: ndcg_at_1000
|
803 |
+
value: 33.494
|
804 |
+
- type: ndcg_at_3
|
805 |
+
value: 21.474
|
806 |
+
- type: ndcg_at_5
|
807 |
+
value: 23.189999999999998
|
808 |
+
- type: precision_at_1
|
809 |
+
value: 17.791
|
810 |
+
- type: precision_at_10
|
811 |
+
value: 4.58
|
812 |
+
- type: precision_at_100
|
813 |
+
value: 0.839
|
814 |
+
- type: precision_at_1000
|
815 |
+
value: 0.128
|
816 |
+
- type: precision_at_3
|
817 |
+
value: 10.071
|
818 |
+
- type: precision_at_5
|
819 |
+
value: 7.337000000000001
|
820 |
+
- type: recall_at_1
|
821 |
+
value: 14.835
|
822 |
+
- type: recall_at_10
|
823 |
+
value: 34.534
|
824 |
+
- type: recall_at_100
|
825 |
+
value: 57.812
|
826 |
+
- type: recall_at_1000
|
827 |
+
value: 80.467
|
828 |
+
- type: recall_at_3
|
829 |
+
value: 23.938000000000002
|
830 |
+
- type: recall_at_5
|
831 |
+
value: 28.269
|
832 |
- task:
|
833 |
+
type: Retrieval
|
834 |
dataset:
|
835 |
+
type: BeIR/cqadupstack
|
836 |
+
name: MTEB CQADupstackUnixRetrieval
|
837 |
config: default
|
838 |
split: test
|
839 |
+
revision: None
|
840 |
metrics:
|
841 |
+
- type: map_at_1
|
842 |
+
value: 23.400000000000002
|
843 |
+
- type: map_at_10
|
844 |
+
value: 31.55
|
845 |
+
- type: map_at_100
|
846 |
+
value: 32.72
|
847 |
+
- type: map_at_1000
|
848 |
+
value: 32.830999999999996
|
849 |
+
- type: map_at_3
|
850 |
+
value: 28.942
|
851 |
+
- type: map_at_5
|
852 |
+
value: 30.403000000000002
|
853 |
+
- type: mrr_at_1
|
854 |
+
value: 27.705000000000002
|
855 |
+
- type: mrr_at_10
|
856 |
+
value: 35.778
|
857 |
+
- type: mrr_at_100
|
858 |
+
value: 36.705
|
859 |
+
- type: mrr_at_1000
|
860 |
+
value: 36.773
|
861 |
+
- type: mrr_at_3
|
862 |
+
value: 33.458
|
863 |
+
- type: mrr_at_5
|
864 |
+
value: 34.778
|
865 |
+
- type: ndcg_at_1
|
866 |
+
value: 27.705000000000002
|
867 |
+
- type: ndcg_at_10
|
868 |
+
value: 36.541000000000004
|
869 |
+
- type: ndcg_at_100
|
870 |
+
value: 42.016999999999996
|
871 |
+
- type: ndcg_at_1000
|
872 |
+
value: 44.571
|
873 |
+
- type: ndcg_at_3
|
874 |
+
value: 31.845000000000002
|
875 |
+
- type: ndcg_at_5
|
876 |
+
value: 34.056
|
877 |
+
- type: precision_at_1
|
878 |
+
value: 27.705000000000002
|
879 |
+
- type: precision_at_10
|
880 |
+
value: 6.166
|
881 |
+
- type: precision_at_100
|
882 |
+
value: 0.993
|
883 |
+
- type: precision_at_1000
|
884 |
+
value: 0.132
|
885 |
+
- type: precision_at_3
|
886 |
+
value: 14.302999999999999
|
887 |
+
- type: precision_at_5
|
888 |
+
value: 10.187
|
889 |
+
- type: recall_at_1
|
890 |
+
value: 23.400000000000002
|
891 |
+
- type: recall_at_10
|
892 |
+
value: 47.61
|
893 |
+
- type: recall_at_100
|
894 |
+
value: 71.69200000000001
|
895 |
+
- type: recall_at_1000
|
896 |
+
value: 89.652
|
897 |
+
- type: recall_at_3
|
898 |
+
value: 35.026
|
899 |
+
- type: recall_at_5
|
900 |
+
value: 40.48
|
901 |
- task:
|
902 |
+
type: Retrieval
|
903 |
dataset:
|
904 |
+
type: BeIR/cqadupstack
|
905 |
+
name: MTEB CQADupstackWebmastersRetrieval
|
906 |
config: default
|
907 |
split: test
|
908 |
+
revision: None
|
909 |
metrics:
|
910 |
+
- type: map_at_1
|
911 |
+
value: 21.409
|
912 |
+
- type: map_at_10
|
913 |
+
value: 29.642000000000003
|
914 |
+
- type: map_at_100
|
915 |
+
value: 31.213
|
916 |
+
- type: map_at_1000
|
917 |
+
value: 31.418000000000003
|
918 |
+
- type: map_at_3
|
919 |
+
value: 26.811
|
920 |
+
- type: map_at_5
|
921 |
+
value: 28.433999999999997
|
922 |
+
- type: mrr_at_1
|
923 |
+
value: 25.494
|
924 |
+
- type: mrr_at_10
|
925 |
+
value: 33.735
|
926 |
+
- type: mrr_at_100
|
927 |
+
value: 34.791
|
928 |
+
- type: mrr_at_1000
|
929 |
+
value: 34.848
|
930 |
+
- type: mrr_at_3
|
931 |
+
value: 31.225
|
932 |
+
- type: mrr_at_5
|
933 |
+
value: 32.688
|
934 |
+
- type: ndcg_at_1
|
935 |
+
value: 25.494
|
936 |
+
- type: ndcg_at_10
|
937 |
+
value: 35.038000000000004
|
938 |
+
- type: ndcg_at_100
|
939 |
+
value: 41.499
|
940 |
+
- type: ndcg_at_1000
|
941 |
+
value: 44.183
|
942 |
+
- type: ndcg_at_3
|
943 |
+
value: 30.305
|
944 |
+
- type: ndcg_at_5
|
945 |
+
value: 32.607
|
946 |
+
- type: precision_at_1
|
947 |
+
value: 25.494
|
948 |
+
- type: precision_at_10
|
949 |
+
value: 6.739000000000001
|
950 |
+
- type: precision_at_100
|
951 |
+
value: 1.439
|
952 |
+
- type: precision_at_1000
|
953 |
+
value: 0.233
|
954 |
+
- type: precision_at_3
|
955 |
+
value: 14.163
|
956 |
+
- type: precision_at_5
|
957 |
+
value: 10.474
|
958 |
+
- type: recall_at_1
|
959 |
+
value: 21.409
|
960 |
+
- type: recall_at_10
|
961 |
+
value: 46.033
|
962 |
+
- type: recall_at_100
|
963 |
+
value: 74.932
|
964 |
+
- type: recall_at_1000
|
965 |
+
value: 92.35600000000001
|
966 |
+
- type: recall_at_3
|
967 |
+
value: 32.858
|
968 |
+
- type: recall_at_5
|
969 |
+
value: 38.675
|
970 |
+
- task:
|
971 |
+
type: Retrieval
|
972 |
+
dataset:
|
973 |
+
type: BeIR/cqadupstack
|
974 |
+
name: MTEB CQADupstackWordpressRetrieval
|
975 |
+
config: default
|
976 |
+
split: test
|
977 |
+
revision: None
|
978 |
+
metrics:
|
979 |
+
- type: map_at_1
|
980 |
+
value: 18.145
|
981 |
+
- type: map_at_10
|
982 |
+
value: 24.712
|
983 |
+
- type: map_at_100
|
984 |
+
value: 25.813000000000002
|
985 |
+
- type: map_at_1000
|
986 |
+
value: 25.935000000000002
|
987 |
+
- type: map_at_3
|
988 |
+
value: 22.33
|
989 |
+
- type: map_at_5
|
990 |
+
value: 23.524
|
991 |
+
- type: mrr_at_1
|
992 |
+
value: 19.224
|
993 |
+
- type: mrr_at_10
|
994 |
+
value: 26.194
|
995 |
+
- type: mrr_at_100
|
996 |
+
value: 27.208
|
997 |
+
- type: mrr_at_1000
|
998 |
+
value: 27.3
|
999 |
+
- type: mrr_at_3
|
1000 |
+
value: 23.906
|
1001 |
+
- type: mrr_at_5
|
1002 |
+
value: 24.988
|
1003 |
+
- type: ndcg_at_1
|
1004 |
+
value: 19.224
|
1005 |
+
- type: ndcg_at_10
|
1006 |
+
value: 29.015
|
1007 |
+
- type: ndcg_at_100
|
1008 |
+
value: 34.224
|
1009 |
+
- type: ndcg_at_1000
|
1010 |
+
value: 37.235
|
1011 |
+
- type: ndcg_at_3
|
1012 |
+
value: 24.22
|
1013 |
+
- type: ndcg_at_5
|
1014 |
+
value: 26.176
|
1015 |
+
- type: precision_at_1
|
1016 |
+
value: 19.224
|
1017 |
+
- type: precision_at_10
|
1018 |
+
value: 4.713
|
1019 |
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- type: precision_at_100
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1020 |
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value: 0.787
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1021 |
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- type: precision_at_1000
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1022 |
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value: 0.11499999999999999
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1023 |
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- type: precision_at_3
|
1024 |
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value: 10.290000000000001
|
1025 |
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- type: precision_at_5
|
1026 |
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value: 7.32
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1027 |
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- type: recall_at_1
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1028 |
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value: 18.145
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1029 |
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- type: recall_at_10
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1030 |
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value: 40.875
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1031 |
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- type: recall_at_100
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1032 |
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value: 64.371
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1033 |
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- type: recall_at_1000
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1034 |
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value: 86.67399999999999
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1035 |
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- type: recall_at_3
|
1036 |
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value: 27.717000000000002
|
1037 |
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- type: recall_at_5
|
1038 |
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value: 32.381
|
1039 |
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|
1040 |
type: Classification
|
1041 |
dataset:
|
|
|
1116 |
value: 77.95897780766644
|
1117 |
- type: f1
|
1118 |
value: 77.80380046125542
|
1119 |
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- task:
|
1120 |
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type: Clustering
|
1121 |
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dataset:
|
1122 |
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type: mteb/medrxiv-clustering-p2p
|
1123 |
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name: MTEB MedrxivClusteringP2P
|
1124 |
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config: default
|
1125 |
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split: test
|
1126 |
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revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
|
1127 |
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metrics:
|
1128 |
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- type: v_measure
|
1129 |
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value: 31.897956840478948
|
1130 |
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- task:
|
1131 |
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type: Clustering
|
1132 |
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dataset:
|
1133 |
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type: mteb/medrxiv-clustering-s2s
|
1134 |
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name: MTEB MedrxivClusteringS2S
|
1135 |
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config: default
|
1136 |
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split: test
|
1137 |
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revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
|
1138 |
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metrics:
|
1139 |
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- type: v_measure
|
1140 |
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value: 30.71493744677591
|
1141 |
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- task:
|
1142 |
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type: Reranking
|
1143 |
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dataset:
|
1144 |
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type: mteb/mind_small
|
1145 |
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name: MTEB MindSmallReranking
|
1146 |
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config: default
|
1147 |
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split: test
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1148 |
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revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
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1149 |
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metrics:
|
1150 |
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- type: map
|
1151 |
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value: 31.279419910393734
|
1152 |
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- type: mrr
|
1153 |
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value: 32.41989483774563
|
1154 |
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- task:
|
1155 |
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type: Clustering
|
1156 |
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dataset:
|
1157 |
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type: mteb/reddit-clustering
|
1158 |
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name: MTEB RedditClustering
|
1159 |
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config: default
|
1160 |
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split: test
|
1161 |
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revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
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1162 |
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metrics:
|
1163 |
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- type: v_measure
|
1164 |
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value: 50.49612915002382
|
1165 |
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- task:
|
1166 |
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type: Clustering
|
1167 |
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dataset:
|
1168 |
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type: mteb/reddit-clustering-p2p
|
1169 |
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name: MTEB RedditClusteringP2P
|
1170 |
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config: default
|
1171 |
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split: test
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1172 |
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revision: 282350215ef01743dc01b456c7f5241fa8937f16
|
1173 |
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metrics:
|
1174 |
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- type: v_measure
|
1175 |
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value: 60.29912718965653
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1176 |
- task:
|
1177 |
type: STS
|
1178 |
dataset:
|
|
|
1362 |
value: 86.2546330637872
|
1363 |
- type: manhattan_spearman
|
1364 |
value: 86.46309860938591
|
1365 |
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- task:
|
1366 |
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type: Reranking
|
1367 |
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dataset:
|
1368 |
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type: mteb/scidocs-reranking
|
1369 |
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name: MTEB SciDocsRR
|
1370 |
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config: default
|
1371 |
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split: test
|
1372 |
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revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
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1373 |
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metrics:
|
1374 |
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- type: map
|
1375 |
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value: 85.009977767778
|
1376 |
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- type: mrr
|
1377 |
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value: 95.59795143128476
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1378 |
- task:
|
1379 |
type: PairClassification
|
1380 |
dataset:
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|
|
1413 |
- type: euclidean_precision
|
1414 |
value: 94.04388714733543
|
1415 |
- type: euclidean_recall
|
1416 |
+
value: 90.0
|
1417 |
- type: manhattan_accuracy
|
1418 |
value: 99.84158415841584
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1419 |
- type: manhattan_ap
|
|
|
1430 |
value: 96.25445889914926
|
1431 |
- type: max_f1
|
1432 |
value: 92.03805708562844
|
1433 |
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- task:
|
1434 |
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type: Clustering
|
1435 |
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dataset:
|
1436 |
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type: mteb/stackexchange-clustering
|
1437 |
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name: MTEB StackExchangeClustering
|
1438 |
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config: default
|
1439 |
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split: test
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1440 |
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revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
|
1441 |
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metrics:
|
1442 |
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- type: v_measure
|
1443 |
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value: 59.26454683321409
|
1444 |
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- task:
|
1445 |
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type: Clustering
|
1446 |
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dataset:
|
1447 |
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type: mteb/stackexchange-clustering-p2p
|
1448 |
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name: MTEB StackExchangeClusteringP2P
|
1449 |
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config: default
|
1450 |
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split: test
|
1451 |
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revision: 815ca46b2622cec33ccafc3735d572c266efdb44
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1452 |
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metrics:
|
1453 |
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- type: v_measure
|
1454 |
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value: 33.75520575713765
|
1455 |
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- task:
|
1456 |
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type: Reranking
|
1457 |
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dataset:
|
1458 |
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type: mteb/stackoverflowdupquestions-reranking
|
1459 |
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name: MTEB StackOverflowDupQuestions
|
1460 |
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config: default
|
1461 |
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split: test
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1462 |
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revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
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1463 |
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metrics:
|
1464 |
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- type: map
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1465 |
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value: 52.74607778008495
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1466 |
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- type: mrr
|
1467 |
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value: 53.55101699770818
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1468 |
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|
1469 |
type: Classification
|
1470 |
dataset:
|
|
|
1493 |
value: 60.01980758347483
|
1494 |
- type: f1
|
1495 |
value: 60.35679678249753
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1496 |
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- task:
|
1497 |
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type: Clustering
|
1498 |
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dataset:
|
1499 |
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type: mteb/twentynewsgroups-clustering
|
1500 |
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name: MTEB TwentyNewsgroupsClustering
|
1501 |
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config: default
|
1502 |
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split: test
|
1503 |
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revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
|
1504 |
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metrics:
|
1505 |
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- type: v_measure
|
1506 |
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value: 45.09419243325077
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1507 |
- task:
|
1508 |
type: PairClassification
|
1509 |
dataset:
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