Commit
·
5484c62
1
Parent(s):
cad11e0
Update README.md
Browse files
README.md
CHANGED
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@@ -23,11 +23,11 @@ model-index:
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revision: e8379541af4e31359cca9fbcf4b00f2671dba205
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metrics:
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- type: accuracy
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-
value: 66.
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- type: ap
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-
value: 28.
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- type: f1
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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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@@ -38,11 +38,11 @@ model-index:
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revision: e2d317d38cd51312af73b3d32a06d1a08b442046
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metrics:
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| 40 |
- type: accuracy
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| 41 |
-
value:
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| 42 |
- type: ap
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-
value:
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| 44 |
- type: f1
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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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@@ -53,1066 +53,1066 @@ model-index:
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revision: 1399c76144fd37290681b995c656ef9b2e06e26d
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metrics:
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| 55 |
- type: accuracy
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| 56 |
-
value:
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| 57 |
- type: f1
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| 58 |
-
value: 29.
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| 59 |
- task:
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type: Retrieval
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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: None
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metrics:
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| 68 |
- type: map_at_1
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| 69 |
-
value:
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| 70 |
- type: map_at_10
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| 71 |
-
value:
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| 72 |
- type: map_at_100
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| 73 |
-
value:
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| 74 |
- type: map_at_1000
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| 75 |
-
value:
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- type: map_at_3
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| 77 |
-
value:
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- type: map_at_5
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-
value:
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- type: mrr_at_1
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-
value:
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- type: mrr_at_10
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-
value:
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- type: mrr_at_100
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-
value:
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- type: mrr_at_1000
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-
value:
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- type: mrr_at_3
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-
value:
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- type: mrr_at_5
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-
value:
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- type: ndcg_at_1
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| 93 |
-
value:
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- type: ndcg_at_10
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| 95 |
-
value:
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| 96 |
- type: ndcg_at_100
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| 97 |
-
value:
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- type: ndcg_at_1000
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-
value:
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- type: ndcg_at_3
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| 101 |
-
value:
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| 102 |
- type: ndcg_at_5
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| 103 |
-
value:
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| 104 |
- type: precision_at_1
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| 105 |
-
value:
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| 106 |
- type: precision_at_10
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| 107 |
-
value:
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| 108 |
- type: precision_at_100
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| 109 |
-
value:
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- type: precision_at_1000
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| 111 |
-
value: 0.
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| 112 |
- type: precision_at_3
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| 113 |
-
value:
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| 114 |
- type: precision_at_5
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| 115 |
-
value:
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| 116 |
- type: recall_at_1
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| 117 |
-
value:
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| 118 |
- type: recall_at_10
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| 119 |
-
value:
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| 120 |
- type: recall_at_100
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| 121 |
-
value:
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- type: recall_at_1000
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-
value:
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- type: recall_at_3
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-
value:
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- type: recall_at_5
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value:
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- task:
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type: Retrieval
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dataset:
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type: BeIR/cqadupstack
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-
name: MTEB
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config: default
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split: test
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revision: None
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| 136 |
metrics:
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| 137 |
- type: map_at_1
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| 138 |
-
value:
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| 139 |
- type: map_at_10
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| 140 |
-
value:
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- type: map_at_100
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-
value:
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- type: map_at_1000
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-
value:
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- type: map_at_3
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-
value:
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- type: map_at_5
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-
value:
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- type: mrr_at_1
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-
value:
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- type: mrr_at_10
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-
value: 45.
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| 153 |
- type: mrr_at_100
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-
value:
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- type: mrr_at_1000
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| 156 |
-
value:
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- type: mrr_at_3
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-
value: 42.
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| 159 |
- type: mrr_at_5
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| 160 |
-
value: 44.
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| 161 |
- type: ndcg_at_1
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| 162 |
-
value:
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| 163 |
- type: ndcg_at_10
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-
value:
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- type: ndcg_at_100
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-
value:
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- type: ndcg_at_1000
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-
value:
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- type: ndcg_at_3
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| 170 |
-
value:
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- type: ndcg_at_5
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-
value:
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| 173 |
- type: precision_at_1
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| 174 |
-
value:
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| 175 |
- type: precision_at_10
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| 176 |
-
value: 8.
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| 177 |
- type: precision_at_100
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| 178 |
-
value: 1.
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| 179 |
- type: precision_at_1000
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| 180 |
-
value: 0.
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| 181 |
- type: precision_at_3
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| 182 |
-
value: 19.
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| 183 |
- type: precision_at_5
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| 184 |
-
value: 13.
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| 185 |
- type: recall_at_1
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| 186 |
-
value:
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| 187 |
- type: recall_at_10
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| 188 |
-
value:
|
| 189 |
- type: recall_at_100
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| 190 |
-
value:
|
| 191 |
- type: recall_at_1000
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| 192 |
-
value:
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| 193 |
- type: recall_at_3
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| 194 |
-
value:
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| 195 |
- type: recall_at_5
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| 196 |
-
value:
|
| 197 |
- task:
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| 198 |
type: Retrieval
|
| 199 |
dataset:
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| 200 |
type: BeIR/cqadupstack
|
| 201 |
-
name: MTEB
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| 202 |
config: default
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| 203 |
split: test
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| 204 |
revision: None
|
| 205 |
metrics:
|
| 206 |
- type: map_at_1
|
| 207 |
-
value:
|
| 208 |
- type: map_at_10
|
| 209 |
-
value:
|
| 210 |
- type: map_at_100
|
| 211 |
-
value:
|
| 212 |
- type: map_at_1000
|
| 213 |
-
value:
|
| 214 |
- type: map_at_3
|
| 215 |
-
value:
|
| 216 |
- type: map_at_5
|
| 217 |
-
value:
|
| 218 |
- type: mrr_at_1
|
| 219 |
-
value:
|
| 220 |
- type: mrr_at_10
|
| 221 |
-
value:
|
| 222 |
- type: mrr_at_100
|
| 223 |
-
value:
|
| 224 |
- type: mrr_at_1000
|
| 225 |
-
value:
|
| 226 |
- type: mrr_at_3
|
| 227 |
-
value:
|
| 228 |
- type: mrr_at_5
|
| 229 |
-
value:
|
| 230 |
- type: ndcg_at_1
|
| 231 |
-
value:
|
| 232 |
- type: ndcg_at_10
|
| 233 |
-
value:
|
| 234 |
- type: ndcg_at_100
|
| 235 |
-
value:
|
| 236 |
- type: ndcg_at_1000
|
| 237 |
-
value:
|
| 238 |
- type: ndcg_at_3
|
| 239 |
-
value:
|
| 240 |
- type: ndcg_at_5
|
| 241 |
-
value:
|
| 242 |
- type: precision_at_1
|
| 243 |
-
value:
|
| 244 |
- type: precision_at_10
|
| 245 |
-
value:
|
| 246 |
- type: precision_at_100
|
| 247 |
-
value: 1.
|
| 248 |
- type: precision_at_1000
|
| 249 |
-
value: 0.
|
| 250 |
- type: precision_at_3
|
| 251 |
-
value:
|
| 252 |
- type: precision_at_5
|
| 253 |
-
value:
|
| 254 |
- type: recall_at_1
|
| 255 |
-
value:
|
| 256 |
- type: recall_at_10
|
| 257 |
-
value:
|
| 258 |
- type: recall_at_100
|
| 259 |
-
value:
|
| 260 |
- type: recall_at_1000
|
| 261 |
-
value:
|
| 262 |
- type: recall_at_3
|
| 263 |
-
value:
|
| 264 |
- type: recall_at_5
|
| 265 |
-
value:
|
| 266 |
- task:
|
| 267 |
type: Retrieval
|
| 268 |
dataset:
|
| 269 |
type: BeIR/cqadupstack
|
| 270 |
-
name: MTEB
|
| 271 |
config: default
|
| 272 |
split: test
|
| 273 |
revision: None
|
| 274 |
metrics:
|
| 275 |
- type: map_at_1
|
| 276 |
-
value:
|
| 277 |
- type: map_at_10
|
| 278 |
-
value:
|
| 279 |
- type: map_at_100
|
| 280 |
-
value:
|
| 281 |
- type: map_at_1000
|
| 282 |
-
value:
|
| 283 |
- type: map_at_3
|
| 284 |
-
value:
|
| 285 |
- type: map_at_5
|
| 286 |
-
value:
|
| 287 |
- type: mrr_at_1
|
| 288 |
-
value:
|
| 289 |
- type: mrr_at_10
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| 290 |
-
value:
|
| 291 |
- type: mrr_at_100
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| 292 |
-
value:
|
| 293 |
- type: mrr_at_1000
|
| 294 |
-
value:
|
| 295 |
- type: mrr_at_3
|
| 296 |
-
value:
|
| 297 |
- type: mrr_at_5
|
| 298 |
-
value:
|
| 299 |
- type: ndcg_at_1
|
| 300 |
-
value:
|
| 301 |
- type: ndcg_at_10
|
| 302 |
-
value:
|
| 303 |
- type: ndcg_at_100
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| 304 |
-
value:
|
| 305 |
- type: ndcg_at_1000
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| 306 |
-
value:
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| 307 |
- type: ndcg_at_3
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| 308 |
-
value:
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| 309 |
- type: ndcg_at_5
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| 310 |
-
value:
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| 311 |
- type: precision_at_1
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| 312 |
-
value:
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| 313 |
- type: precision_at_10
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| 314 |
-
value:
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| 315 |
- type: precision_at_100
|
| 316 |
-
value:
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| 317 |
- type: precision_at_1000
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| 318 |
-
value: 0.
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| 319 |
- type: precision_at_3
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| 320 |
-
value:
|
| 321 |
- type: precision_at_5
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| 322 |
-
value:
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| 323 |
- type: recall_at_1
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| 324 |
-
value:
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| 325 |
- type: recall_at_10
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| 326 |
-
value:
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| 327 |
- type: recall_at_100
|
| 328 |
-
value:
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| 329 |
- type: recall_at_1000
|
| 330 |
-
value:
|
| 331 |
- type: recall_at_3
|
| 332 |
-
value:
|
| 333 |
- type: recall_at_5
|
| 334 |
-
value:
|
| 335 |
- task:
|
| 336 |
type: Retrieval
|
| 337 |
dataset:
|
| 338 |
type: BeIR/cqadupstack
|
| 339 |
-
name: MTEB
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| 340 |
config: default
|
| 341 |
split: test
|
| 342 |
revision: None
|
| 343 |
metrics:
|
| 344 |
- type: map_at_1
|
| 345 |
-
value:
|
| 346 |
- type: map_at_10
|
| 347 |
-
value:
|
| 348 |
- type: map_at_100
|
| 349 |
-
value:
|
| 350 |
- type: map_at_1000
|
| 351 |
-
value:
|
| 352 |
- type: map_at_3
|
| 353 |
-
value:
|
| 354 |
- type: map_at_5
|
| 355 |
-
value:
|
| 356 |
- type: mrr_at_1
|
| 357 |
-
value:
|
| 358 |
- type: mrr_at_10
|
| 359 |
-
value:
|
| 360 |
- type: mrr_at_100
|
| 361 |
-
value:
|
| 362 |
- type: mrr_at_1000
|
| 363 |
-
value:
|
| 364 |
- type: mrr_at_3
|
| 365 |
-
value:
|
| 366 |
- type: mrr_at_5
|
| 367 |
-
value:
|
| 368 |
- type: ndcg_at_1
|
| 369 |
-
value:
|
| 370 |
- type: ndcg_at_10
|
| 371 |
-
value:
|
| 372 |
- type: ndcg_at_100
|
| 373 |
-
value:
|
| 374 |
- type: ndcg_at_1000
|
| 375 |
-
value:
|
| 376 |
- type: ndcg_at_3
|
| 377 |
-
value:
|
| 378 |
- type: ndcg_at_5
|
| 379 |
-
value:
|
| 380 |
- type: precision_at_1
|
| 381 |
-
value:
|
| 382 |
- type: precision_at_10
|
| 383 |
-
value: 5.
|
| 384 |
- type: precision_at_100
|
| 385 |
-
value: 0.
|
| 386 |
- type: precision_at_1000
|
| 387 |
-
value: 0.
|
| 388 |
- type: precision_at_3
|
| 389 |
-
value:
|
| 390 |
- type: precision_at_5
|
| 391 |
-
value:
|
| 392 |
- type: recall_at_1
|
| 393 |
-
value:
|
| 394 |
- type: recall_at_10
|
| 395 |
-
value:
|
| 396 |
- type: recall_at_100
|
| 397 |
-
value:
|
| 398 |
- type: recall_at_1000
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| 399 |
-
value:
|
| 400 |
- type: recall_at_3
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| 401 |
-
value:
|
| 402 |
- type: recall_at_5
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| 403 |
-
value:
|
| 404 |
- task:
|
| 405 |
type: Retrieval
|
| 406 |
dataset:
|
| 407 |
type: BeIR/cqadupstack
|
| 408 |
-
name: MTEB
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| 409 |
config: default
|
| 410 |
split: test
|
| 411 |
revision: None
|
| 412 |
metrics:
|
| 413 |
- type: map_at_1
|
| 414 |
-
value:
|
| 415 |
- type: map_at_10
|
| 416 |
-
value:
|
| 417 |
- type: map_at_100
|
| 418 |
-
value:
|
| 419 |
- type: map_at_1000
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| 420 |
-
value:
|
| 421 |
- type: map_at_3
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| 422 |
-
value:
|
| 423 |
- type: map_at_5
|
| 424 |
-
value:
|
| 425 |
- type: mrr_at_1
|
| 426 |
-
value:
|
| 427 |
- type: mrr_at_10
|
| 428 |
-
value:
|
| 429 |
- type: mrr_at_100
|
| 430 |
-
value:
|
| 431 |
- type: mrr_at_1000
|
| 432 |
-
value:
|
| 433 |
- type: mrr_at_3
|
| 434 |
-
value:
|
| 435 |
- type: mrr_at_5
|
| 436 |
-
value:
|
| 437 |
- type: ndcg_at_1
|
| 438 |
-
value:
|
| 439 |
- type: ndcg_at_10
|
| 440 |
-
value:
|
| 441 |
- type: ndcg_at_100
|
| 442 |
-
value:
|
| 443 |
- type: ndcg_at_1000
|
| 444 |
-
value:
|
| 445 |
- type: ndcg_at_3
|
| 446 |
-
value:
|
| 447 |
- type: ndcg_at_5
|
| 448 |
-
value:
|
| 449 |
- type: precision_at_1
|
| 450 |
-
value:
|
| 451 |
- type: precision_at_10
|
| 452 |
-
value:
|
| 453 |
- type: precision_at_100
|
| 454 |
-
value:
|
| 455 |
- type: precision_at_1000
|
| 456 |
-
value: 0.
|
| 457 |
- type: precision_at_3
|
| 458 |
-
value:
|
| 459 |
- type: precision_at_5
|
| 460 |
-
value:
|
| 461 |
- type: recall_at_1
|
| 462 |
-
value:
|
| 463 |
- type: recall_at_10
|
| 464 |
-
value:
|
| 465 |
- type: recall_at_100
|
| 466 |
-
value:
|
| 467 |
- type: recall_at_1000
|
| 468 |
-
value:
|
| 469 |
- type: recall_at_3
|
| 470 |
-
value:
|
| 471 |
- type: recall_at_5
|
| 472 |
-
value:
|
| 473 |
- task:
|
| 474 |
type: Retrieval
|
| 475 |
dataset:
|
| 476 |
type: BeIR/cqadupstack
|
| 477 |
-
name: MTEB
|
| 478 |
config: default
|
| 479 |
split: test
|
| 480 |
revision: None
|
| 481 |
metrics:
|
| 482 |
- type: map_at_1
|
| 483 |
-
value:
|
| 484 |
- type: map_at_10
|
| 485 |
-
value:
|
| 486 |
- type: map_at_100
|
| 487 |
-
value:
|
| 488 |
- type: map_at_1000
|
| 489 |
-
value:
|
| 490 |
- type: map_at_3
|
| 491 |
-
value:
|
| 492 |
- type: map_at_5
|
| 493 |
-
value:
|
| 494 |
- type: mrr_at_1
|
| 495 |
-
value:
|
| 496 |
- type: mrr_at_10
|
| 497 |
-
value:
|
| 498 |
- type: mrr_at_100
|
| 499 |
-
value:
|
| 500 |
- type: mrr_at_1000
|
| 501 |
-
value:
|
| 502 |
- type: mrr_at_3
|
| 503 |
-
value:
|
| 504 |
- type: mrr_at_5
|
| 505 |
-
value:
|
| 506 |
- type: ndcg_at_1
|
| 507 |
-
value:
|
| 508 |
- type: ndcg_at_10
|
| 509 |
-
value:
|
| 510 |
- type: ndcg_at_100
|
| 511 |
-
value:
|
| 512 |
- type: ndcg_at_1000
|
| 513 |
-
value:
|
| 514 |
- type: ndcg_at_3
|
| 515 |
-
value:
|
| 516 |
- type: ndcg_at_5
|
| 517 |
-
value:
|
| 518 |
- type: precision_at_1
|
| 519 |
-
value:
|
| 520 |
- type: precision_at_10
|
| 521 |
-
value: 7.
|
| 522 |
- type: precision_at_100
|
| 523 |
-
value: 1.
|
| 524 |
- type: precision_at_1000
|
| 525 |
-
value: 0.
|
| 526 |
- type: precision_at_3
|
| 527 |
-
value:
|
| 528 |
- type: precision_at_5
|
| 529 |
-
value: 11.
|
| 530 |
- type: recall_at_1
|
| 531 |
-
value:
|
| 532 |
- type: recall_at_10
|
| 533 |
-
value: 51.
|
| 534 |
- type: recall_at_100
|
| 535 |
-
value: 74.
|
| 536 |
- type: recall_at_1000
|
| 537 |
-
value:
|
| 538 |
- type: recall_at_3
|
| 539 |
-
value:
|
| 540 |
- type: recall_at_5
|
| 541 |
-
value: 43.
|
| 542 |
- task:
|
| 543 |
type: Retrieval
|
| 544 |
dataset:
|
| 545 |
type: BeIR/cqadupstack
|
| 546 |
-
name: MTEB
|
| 547 |
config: default
|
| 548 |
split: test
|
| 549 |
revision: None
|
| 550 |
metrics:
|
| 551 |
- type: map_at_1
|
| 552 |
-
value:
|
| 553 |
- type: map_at_10
|
| 554 |
-
value:
|
| 555 |
- type: map_at_100
|
| 556 |
-
value:
|
| 557 |
- type: map_at_1000
|
| 558 |
-
value:
|
| 559 |
- type: map_at_3
|
| 560 |
-
value:
|
| 561 |
- type: map_at_5
|
| 562 |
-
value:
|
| 563 |
- type: mrr_at_1
|
| 564 |
-
value:
|
| 565 |
- type: mrr_at_10
|
| 566 |
-
value:
|
| 567 |
- type: mrr_at_100
|
| 568 |
-
value:
|
| 569 |
- type: mrr_at_1000
|
| 570 |
-
value:
|
| 571 |
- type: mrr_at_3
|
| 572 |
-
value:
|
| 573 |
- type: mrr_at_5
|
| 574 |
-
value:
|
| 575 |
- type: ndcg_at_1
|
| 576 |
-
value:
|
| 577 |
- type: ndcg_at_10
|
| 578 |
-
value:
|
| 579 |
- type: ndcg_at_100
|
| 580 |
-
value:
|
| 581 |
- type: ndcg_at_1000
|
| 582 |
-
value:
|
| 583 |
- type: ndcg_at_3
|
| 584 |
-
value:
|
| 585 |
- type: ndcg_at_5
|
| 586 |
-
value:
|
| 587 |
- type: precision_at_1
|
| 588 |
-
value:
|
| 589 |
- type: precision_at_10
|
| 590 |
-
value:
|
| 591 |
- type: precision_at_100
|
| 592 |
-
value: 1.
|
| 593 |
- type: precision_at_1000
|
| 594 |
-
value: 0.
|
| 595 |
- type: precision_at_3
|
| 596 |
-
value:
|
| 597 |
- type: precision_at_5
|
| 598 |
-
value:
|
| 599 |
- type: recall_at_1
|
| 600 |
-
value:
|
| 601 |
- type: recall_at_10
|
| 602 |
-
value:
|
| 603 |
- type: recall_at_100
|
| 604 |
-
value:
|
| 605 |
- type: recall_at_1000
|
| 606 |
-
value: 90.
|
| 607 |
- type: recall_at_3
|
| 608 |
-
value:
|
| 609 |
- type: recall_at_5
|
| 610 |
-
value:
|
| 611 |
- task:
|
| 612 |
type: Retrieval
|
| 613 |
dataset:
|
| 614 |
type: BeIR/cqadupstack
|
| 615 |
-
name: MTEB
|
| 616 |
config: default
|
| 617 |
split: test
|
| 618 |
revision: None
|
| 619 |
metrics:
|
| 620 |
- type: map_at_1
|
| 621 |
-
value:
|
| 622 |
- type: map_at_10
|
| 623 |
-
value:
|
| 624 |
- type: map_at_100
|
| 625 |
-
value:
|
| 626 |
- type: map_at_1000
|
| 627 |
-
value:
|
| 628 |
- type: map_at_3
|
| 629 |
-
value:
|
| 630 |
- type: map_at_5
|
| 631 |
-
value:
|
| 632 |
- type: mrr_at_1
|
| 633 |
-
value:
|
| 634 |
- type: mrr_at_10
|
| 635 |
-
value:
|
| 636 |
- type: mrr_at_100
|
| 637 |
-
value:
|
| 638 |
- type: mrr_at_1000
|
| 639 |
-
value:
|
| 640 |
- type: mrr_at_3
|
| 641 |
-
value:
|
| 642 |
- type: mrr_at_5
|
| 643 |
-
value:
|
| 644 |
- type: ndcg_at_1
|
| 645 |
-
value:
|
| 646 |
- type: ndcg_at_10
|
| 647 |
-
value:
|
| 648 |
- type: ndcg_at_100
|
| 649 |
-
value:
|
| 650 |
- type: ndcg_at_1000
|
| 651 |
-
value:
|
| 652 |
- type: ndcg_at_3
|
| 653 |
-
value:
|
| 654 |
- type: ndcg_at_5
|
| 655 |
-
value:
|
| 656 |
- type: precision_at_1
|
| 657 |
-
value:
|
| 658 |
- type: precision_at_10
|
| 659 |
-
value:
|
| 660 |
- type: precision_at_100
|
| 661 |
-
value:
|
| 662 |
- type: precision_at_1000
|
| 663 |
-
value: 0.
|
| 664 |
- type: precision_at_3
|
| 665 |
-
value:
|
| 666 |
- type: precision_at_5
|
| 667 |
-
value:
|
| 668 |
- type: recall_at_1
|
| 669 |
-
value:
|
| 670 |
- type: recall_at_10
|
| 671 |
-
value:
|
| 672 |
- type: recall_at_100
|
| 673 |
-
value:
|
| 674 |
- type: recall_at_1000
|
| 675 |
-
value:
|
| 676 |
- type: recall_at_3
|
| 677 |
-
value:
|
| 678 |
- type: recall_at_5
|
| 679 |
-
value:
|
| 680 |
- task:
|
| 681 |
type: Retrieval
|
| 682 |
dataset:
|
| 683 |
type: BeIR/cqadupstack
|
| 684 |
-
name: MTEB
|
| 685 |
config: default
|
| 686 |
split: test
|
| 687 |
revision: None
|
| 688 |
metrics:
|
| 689 |
- type: map_at_1
|
| 690 |
-
value:
|
| 691 |
- type: map_at_10
|
| 692 |
-
value:
|
| 693 |
- type: map_at_100
|
| 694 |
-
value:
|
| 695 |
- type: map_at_1000
|
| 696 |
-
value:
|
| 697 |
- type: map_at_3
|
| 698 |
-
value:
|
| 699 |
- type: map_at_5
|
| 700 |
-
value:
|
| 701 |
- type: mrr_at_1
|
| 702 |
-
value:
|
| 703 |
- type: mrr_at_10
|
| 704 |
-
value:
|
| 705 |
- type: mrr_at_100
|
| 706 |
-
value:
|
| 707 |
- type: mrr_at_1000
|
| 708 |
-
value:
|
| 709 |
- type: mrr_at_3
|
| 710 |
-
value:
|
| 711 |
- type: mrr_at_5
|
| 712 |
-
value:
|
| 713 |
- type: ndcg_at_1
|
| 714 |
-
value:
|
| 715 |
- type: ndcg_at_10
|
| 716 |
-
value:
|
| 717 |
- type: ndcg_at_100
|
| 718 |
-
value:
|
| 719 |
- type: ndcg_at_1000
|
| 720 |
-
value:
|
| 721 |
- type: ndcg_at_3
|
| 722 |
-
value:
|
| 723 |
- type: ndcg_at_5
|
| 724 |
-
value:
|
| 725 |
- type: precision_at_1
|
| 726 |
-
value:
|
| 727 |
- type: precision_at_10
|
| 728 |
-
value:
|
| 729 |
- type: precision_at_100
|
| 730 |
-
value: 0.
|
| 731 |
- type: precision_at_1000
|
| 732 |
-
value: 0.
|
| 733 |
- type: precision_at_3
|
| 734 |
-
value: 11.
|
| 735 |
- type: precision_at_5
|
| 736 |
-
value: 8.
|
| 737 |
- type: recall_at_1
|
| 738 |
-
value:
|
| 739 |
- type: recall_at_10
|
| 740 |
-
value:
|
| 741 |
- type: recall_at_100
|
| 742 |
-
value:
|
| 743 |
- type: recall_at_1000
|
| 744 |
-
value:
|
| 745 |
- type: recall_at_3
|
| 746 |
-
value:
|
| 747 |
- type: recall_at_5
|
| 748 |
-
value:
|
| 749 |
- task:
|
| 750 |
type: Retrieval
|
| 751 |
dataset:
|
| 752 |
type: BeIR/cqadupstack
|
| 753 |
-
name: MTEB
|
| 754 |
config: default
|
| 755 |
split: test
|
| 756 |
revision: None
|
| 757 |
metrics:
|
| 758 |
- type: map_at_1
|
| 759 |
-
value:
|
| 760 |
- type: map_at_10
|
| 761 |
-
value:
|
| 762 |
- type: map_at_100
|
| 763 |
-
value:
|
| 764 |
- type: map_at_1000
|
| 765 |
-
value:
|
| 766 |
- type: map_at_3
|
| 767 |
-
value:
|
| 768 |
- type: map_at_5
|
| 769 |
-
value:
|
| 770 |
- type: mrr_at_1
|
| 771 |
-
value:
|
| 772 |
- type: mrr_at_10
|
| 773 |
-
value:
|
| 774 |
- type: mrr_at_100
|
| 775 |
-
value:
|
| 776 |
- type: mrr_at_1000
|
| 777 |
-
value:
|
| 778 |
- type: mrr_at_3
|
| 779 |
-
value:
|
| 780 |
- type: mrr_at_5
|
| 781 |
-
value:
|
| 782 |
- type: ndcg_at_1
|
| 783 |
-
value:
|
| 784 |
- type: ndcg_at_10
|
| 785 |
-
value:
|
| 786 |
- type: ndcg_at_100
|
| 787 |
-
value:
|
| 788 |
- type: ndcg_at_1000
|
| 789 |
-
value:
|
| 790 |
- type: ndcg_at_3
|
| 791 |
-
value:
|
| 792 |
- type: ndcg_at_5
|
| 793 |
-
value:
|
| 794 |
- type: precision_at_1
|
| 795 |
-
value:
|
| 796 |
- type: precision_at_10
|
| 797 |
-
value:
|
| 798 |
- type: precision_at_100
|
| 799 |
-
value:
|
| 800 |
- type: precision_at_1000
|
| 801 |
-
value: 0.
|
| 802 |
- type: precision_at_3
|
| 803 |
-
value:
|
| 804 |
- type: precision_at_5
|
| 805 |
-
value:
|
| 806 |
- type: recall_at_1
|
| 807 |
-
value:
|
| 808 |
- type: recall_at_10
|
| 809 |
-
value:
|
| 810 |
- type: recall_at_100
|
| 811 |
-
value:
|
| 812 |
- type: recall_at_1000
|
| 813 |
-
value:
|
| 814 |
- type: recall_at_3
|
| 815 |
-
value:
|
| 816 |
- type: recall_at_5
|
| 817 |
-
value:
|
| 818 |
- task:
|
| 819 |
type: Retrieval
|
| 820 |
dataset:
|
| 821 |
type: BeIR/cqadupstack
|
| 822 |
-
name: MTEB
|
| 823 |
config: default
|
| 824 |
split: test
|
| 825 |
revision: None
|
| 826 |
metrics:
|
| 827 |
- type: map_at_1
|
| 828 |
-
value:
|
| 829 |
- type: map_at_10
|
| 830 |
-
value:
|
| 831 |
- type: map_at_100
|
| 832 |
-
value:
|
| 833 |
- type: map_at_1000
|
| 834 |
-
value:
|
| 835 |
- type: map_at_3
|
| 836 |
-
value:
|
| 837 |
- type: map_at_5
|
| 838 |
-
value:
|
| 839 |
- type: mrr_at_1
|
| 840 |
-
value:
|
| 841 |
- type: mrr_at_10
|
| 842 |
-
value:
|
| 843 |
- type: mrr_at_100
|
| 844 |
-
value:
|
| 845 |
- type: mrr_at_1000
|
| 846 |
-
value:
|
| 847 |
- type: mrr_at_3
|
| 848 |
-
value:
|
| 849 |
- type: mrr_at_5
|
| 850 |
-
value:
|
| 851 |
- type: ndcg_at_1
|
| 852 |
-
value:
|
| 853 |
- type: ndcg_at_10
|
| 854 |
-
value:
|
| 855 |
- type: ndcg_at_100
|
| 856 |
-
value:
|
| 857 |
- type: ndcg_at_1000
|
| 858 |
-
value:
|
| 859 |
- type: ndcg_at_3
|
| 860 |
-
value:
|
| 861 |
- type: ndcg_at_5
|
| 862 |
-
value:
|
| 863 |
- type: precision_at_1
|
| 864 |
-
value:
|
| 865 |
- type: precision_at_10
|
| 866 |
-
value:
|
| 867 |
- type: precision_at_100
|
| 868 |
-
value: 1.
|
| 869 |
- type: precision_at_1000
|
| 870 |
-
value: 0.
|
| 871 |
- type: precision_at_3
|
| 872 |
-
value:
|
| 873 |
- type: precision_at_5
|
| 874 |
-
value:
|
| 875 |
- type: recall_at_1
|
| 876 |
-
value:
|
| 877 |
- type: recall_at_10
|
| 878 |
-
value:
|
| 879 |
- type: recall_at_100
|
| 880 |
-
value:
|
| 881 |
- type: recall_at_1000
|
| 882 |
-
value:
|
| 883 |
- type: recall_at_3
|
| 884 |
-
value:
|
| 885 |
- type: recall_at_5
|
| 886 |
-
value:
|
| 887 |
- task:
|
| 888 |
type: Retrieval
|
| 889 |
dataset:
|
| 890 |
type: BeIR/cqadupstack
|
| 891 |
-
name: MTEB
|
| 892 |
config: default
|
| 893 |
split: test
|
| 894 |
revision: None
|
| 895 |
metrics:
|
| 896 |
- type: map_at_1
|
| 897 |
-
value:
|
| 898 |
- type: map_at_10
|
| 899 |
-
value:
|
| 900 |
- type: map_at_100
|
| 901 |
-
value:
|
| 902 |
- type: map_at_1000
|
| 903 |
-
value:
|
| 904 |
- type: map_at_3
|
| 905 |
-
value:
|
| 906 |
- type: map_at_5
|
| 907 |
-
value:
|
| 908 |
- type: mrr_at_1
|
| 909 |
-
value:
|
| 910 |
- type: mrr_at_10
|
| 911 |
-
value:
|
| 912 |
- type: mrr_at_100
|
| 913 |
-
value:
|
| 914 |
- type: mrr_at_1000
|
| 915 |
-
value:
|
| 916 |
- type: mrr_at_3
|
| 917 |
-
value:
|
| 918 |
- type: mrr_at_5
|
| 919 |
-
value:
|
| 920 |
- type: ndcg_at_1
|
| 921 |
-
value:
|
| 922 |
- type: ndcg_at_10
|
| 923 |
-
value:
|
| 924 |
- type: ndcg_at_100
|
| 925 |
-
value:
|
| 926 |
- type: ndcg_at_1000
|
| 927 |
-
value:
|
| 928 |
- type: ndcg_at_3
|
| 929 |
-
value:
|
| 930 |
- type: ndcg_at_5
|
| 931 |
-
value:
|
| 932 |
- type: precision_at_1
|
| 933 |
-
value:
|
| 934 |
- type: precision_at_10
|
| 935 |
-
value:
|
| 936 |
- type: precision_at_100
|
| 937 |
-
value:
|
| 938 |
- type: precision_at_1000
|
| 939 |
-
value: 0.
|
| 940 |
- type: precision_at_3
|
| 941 |
-
value:
|
| 942 |
- type: precision_at_5
|
| 943 |
-
value:
|
| 944 |
- type: recall_at_1
|
| 945 |
-
value:
|
| 946 |
- type: recall_at_10
|
| 947 |
-
value:
|
| 948 |
- type: recall_at_100
|
| 949 |
-
value:
|
| 950 |
- type: recall_at_1000
|
| 951 |
-
value:
|
| 952 |
- type: recall_at_3
|
| 953 |
-
value:
|
| 954 |
- type: recall_at_5
|
| 955 |
-
value:
|
| 956 |
- task:
|
| 957 |
type: Retrieval
|
| 958 |
dataset:
|
| 959 |
-
type:
|
| 960 |
-
name: MTEB
|
| 961 |
config: default
|
| 962 |
split: test
|
| 963 |
revision: None
|
| 964 |
metrics:
|
| 965 |
- type: map_at_1
|
| 966 |
-
value:
|
| 967 |
- type: map_at_10
|
| 968 |
-
value:
|
| 969 |
- type: map_at_100
|
| 970 |
-
value:
|
| 971 |
- type: map_at_1000
|
| 972 |
-
value:
|
| 973 |
- type: map_at_3
|
| 974 |
-
value:
|
| 975 |
- type: map_at_5
|
| 976 |
-
value:
|
| 977 |
- type: mrr_at_1
|
| 978 |
-
value:
|
| 979 |
- type: mrr_at_10
|
| 980 |
-
value:
|
| 981 |
- type: mrr_at_100
|
| 982 |
-
value:
|
| 983 |
- type: mrr_at_1000
|
| 984 |
-
value:
|
| 985 |
- type: mrr_at_3
|
| 986 |
-
value:
|
| 987 |
- type: mrr_at_5
|
| 988 |
-
value:
|
| 989 |
- type: ndcg_at_1
|
| 990 |
-
value:
|
| 991 |
- type: ndcg_at_10
|
| 992 |
-
value:
|
| 993 |
- type: ndcg_at_100
|
| 994 |
-
value:
|
| 995 |
- type: ndcg_at_1000
|
| 996 |
-
value:
|
| 997 |
- type: ndcg_at_3
|
| 998 |
-
value:
|
| 999 |
- type: ndcg_at_5
|
| 1000 |
-
value:
|
| 1001 |
- type: precision_at_1
|
| 1002 |
-
value:
|
| 1003 |
- type: precision_at_10
|
| 1004 |
-
value:
|
| 1005 |
- type: precision_at_100
|
| 1006 |
-
value: 0.
|
| 1007 |
- type: precision_at_1000
|
| 1008 |
-
value: 0.
|
| 1009 |
- type: precision_at_3
|
| 1010 |
-
value:
|
| 1011 |
- type: precision_at_5
|
| 1012 |
-
value:
|
| 1013 |
- type: recall_at_1
|
| 1014 |
-
value:
|
| 1015 |
- type: recall_at_10
|
| 1016 |
-
value:
|
| 1017 |
- type: recall_at_100
|
| 1018 |
-
value:
|
| 1019 |
- type: recall_at_1000
|
| 1020 |
-
value:
|
| 1021 |
- type: recall_at_3
|
| 1022 |
-
value:
|
| 1023 |
- type: recall_at_5
|
| 1024 |
-
value:
|
| 1025 |
-
- task:
|
| 1026 |
-
type: Clustering
|
| 1027 |
-
dataset:
|
| 1028 |
-
type: mteb/arxiv-clustering-p2p
|
| 1029 |
-
name: MTEB ArxivClusteringP2P
|
| 1030 |
-
config: default
|
| 1031 |
-
split: test
|
| 1032 |
-
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
|
| 1033 |
-
metrics:
|
| 1034 |
-
- type: v_measure
|
| 1035 |
-
value: 39.2179862062943
|
| 1036 |
-
- task:
|
| 1037 |
-
type: Clustering
|
| 1038 |
-
dataset:
|
| 1039 |
-
type: mteb/arxiv-clustering-s2s
|
| 1040 |
-
name: MTEB ArxivClusteringS2S
|
| 1041 |
-
config: default
|
| 1042 |
-
split: test
|
| 1043 |
-
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
|
| 1044 |
-
metrics:
|
| 1045 |
-
- type: v_measure
|
| 1046 |
-
value: 29.87826673088078
|
| 1047 |
-
- task:
|
| 1048 |
-
type: Reranking
|
| 1049 |
-
dataset:
|
| 1050 |
-
type: mteb/askubuntudupquestions-reranking
|
| 1051 |
-
name: MTEB AskUbuntuDupQuestions
|
| 1052 |
-
config: default
|
| 1053 |
-
split: test
|
| 1054 |
-
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
|
| 1055 |
-
metrics:
|
| 1056 |
-
- type: map
|
| 1057 |
-
value: 62.72401299412015
|
| 1058 |
-
- type: mrr
|
| 1059 |
-
value: 75.45167743921206
|
| 1060 |
-
- task:
|
| 1061 |
-
type: STS
|
| 1062 |
-
dataset:
|
| 1063 |
-
type: mteb/biosses-sts
|
| 1064 |
-
name: MTEB BIOSSES
|
| 1065 |
-
config: default
|
| 1066 |
-
split: test
|
| 1067 |
-
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
|
| 1068 |
-
metrics:
|
| 1069 |
-
- type: cos_sim_pearson
|
| 1070 |
-
value: 85.96510928112639
|
| 1071 |
-
- type: cos_sim_spearman
|
| 1072 |
-
value: 82.64224450538681
|
| 1073 |
-
- type: euclidean_pearson
|
| 1074 |
-
value: 52.03458755006108
|
| 1075 |
-
- type: euclidean_spearman
|
| 1076 |
-
value: 52.83192670285616
|
| 1077 |
-
- type: manhattan_pearson
|
| 1078 |
-
value: 52.14561955040935
|
| 1079 |
-
- type: manhattan_spearman
|
| 1080 |
-
value: 52.9584356095438
|
| 1081 |
-
- task:
|
| 1082 |
-
type: Classification
|
| 1083 |
-
dataset:
|
| 1084 |
-
type: mteb/banking77
|
| 1085 |
-
name: MTEB Banking77Classification
|
| 1086 |
-
config: default
|
| 1087 |
-
split: test
|
| 1088 |
-
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
|
| 1089 |
-
metrics:
|
| 1090 |
-
- type: accuracy
|
| 1091 |
-
value: 84.11363636363636
|
| 1092 |
-
- type: f1
|
| 1093 |
-
value: 84.01098114920124
|
| 1094 |
-
- task:
|
| 1095 |
-
type: Clustering
|
| 1096 |
-
dataset:
|
| 1097 |
-
type: mteb/biorxiv-clustering-p2p
|
| 1098 |
-
name: MTEB BiorxivClusteringP2P
|
| 1099 |
-
config: default
|
| 1100 |
-
split: test
|
| 1101 |
-
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
|
| 1102 |
-
metrics:
|
| 1103 |
-
- type: v_measure
|
| 1104 |
-
value: 32.991971466919026
|
| 1105 |
-
- task:
|
| 1106 |
-
type: Clustering
|
| 1107 |
-
dataset:
|
| 1108 |
-
type: mteb/biorxiv-clustering-s2s
|
| 1109 |
-
name: MTEB BiorxivClusteringS2S
|
| 1110 |
-
config: default
|
| 1111 |
-
split: test
|
| 1112 |
-
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
|
| 1113 |
-
metrics:
|
| 1114 |
-
- type: v_measure
|
| 1115 |
-
value: 26.48807922559519
|
| 1116 |
- task:
|
| 1117 |
type: Retrieval
|
| 1118 |
dataset:
|
|
@@ -1123,65 +1123,65 @@ model-index:
|
|
| 1123 |
revision: None
|
| 1124 |
metrics:
|
| 1125 |
- type: map_at_1
|
| 1126 |
-
value:
|
| 1127 |
- type: map_at_10
|
| 1128 |
-
value: 14.
|
| 1129 |
- type: map_at_100
|
| 1130 |
-
value:
|
| 1131 |
- type: map_at_1000
|
| 1132 |
-
value:
|
| 1133 |
- type: map_at_3
|
| 1134 |
-
value:
|
| 1135 |
- type: map_at_5
|
| 1136 |
-
value:
|
| 1137 |
- type: mrr_at_1
|
| 1138 |
-
value:
|
| 1139 |
- type: mrr_at_10
|
| 1140 |
-
value:
|
| 1141 |
- type: mrr_at_100
|
| 1142 |
-
value:
|
| 1143 |
- type: mrr_at_1000
|
| 1144 |
-
value:
|
| 1145 |
- type: mrr_at_3
|
| 1146 |
-
value:
|
| 1147 |
- type: mrr_at_5
|
| 1148 |
-
value:
|
| 1149 |
- type: ndcg_at_1
|
| 1150 |
-
value:
|
| 1151 |
- type: ndcg_at_10
|
| 1152 |
-
value:
|
| 1153 |
- type: ndcg_at_100
|
| 1154 |
-
value:
|
| 1155 |
- type: ndcg_at_1000
|
| 1156 |
-
value: 30.
|
| 1157 |
- type: ndcg_at_3
|
| 1158 |
-
value:
|
| 1159 |
- type: ndcg_at_5
|
| 1160 |
-
value: 18.
|
| 1161 |
- type: precision_at_1
|
| 1162 |
-
value:
|
| 1163 |
- type: precision_at_10
|
| 1164 |
-
value: 6.
|
| 1165 |
- type: precision_at_100
|
| 1166 |
-
value: 1.
|
| 1167 |
- type: precision_at_1000
|
| 1168 |
-
value: 0.
|
| 1169 |
- type: precision_at_3
|
| 1170 |
-
value: 12.
|
| 1171 |
- type: precision_at_5
|
| 1172 |
-
value: 9.
|
| 1173 |
- type: recall_at_1
|
| 1174 |
-
value:
|
| 1175 |
- type: recall_at_10
|
| 1176 |
-
value: 26.
|
| 1177 |
- type: recall_at_100
|
| 1178 |
-
value: 47.
|
| 1179 |
- type: recall_at_1000
|
| 1180 |
-
value:
|
| 1181 |
- type: recall_at_3
|
| 1182 |
-
value: 16.
|
| 1183 |
- type: recall_at_5
|
| 1184 |
-
value:
|
| 1185 |
- task:
|
| 1186 |
type: Retrieval
|
| 1187 |
dataset:
|
|
@@ -1192,65 +1192,65 @@ model-index:
|
|
| 1192 |
revision: None
|
| 1193 |
metrics:
|
| 1194 |
- type: map_at_1
|
| 1195 |
-
value: 7.
|
| 1196 |
- type: map_at_10
|
| 1197 |
-
value:
|
| 1198 |
- type: map_at_100
|
| 1199 |
-
value:
|
| 1200 |
- type: map_at_1000
|
| 1201 |
-
value:
|
| 1202 |
- type: map_at_3
|
| 1203 |
-
value:
|
| 1204 |
- type: map_at_5
|
| 1205 |
-
value:
|
| 1206 |
- type: mrr_at_1
|
| 1207 |
-
value:
|
| 1208 |
- type: mrr_at_10
|
| 1209 |
-
value:
|
| 1210 |
- type: mrr_at_100
|
| 1211 |
-
value:
|
| 1212 |
- type: mrr_at_1000
|
| 1213 |
-
value:
|
| 1214 |
- type: mrr_at_3
|
| 1215 |
-
value:
|
| 1216 |
- type: mrr_at_5
|
| 1217 |
-
value:
|
| 1218 |
- type: ndcg_at_1
|
| 1219 |
-
value:
|
| 1220 |
- type: ndcg_at_10
|
| 1221 |
-
value:
|
| 1222 |
- type: ndcg_at_100
|
| 1223 |
-
value:
|
| 1224 |
- type: ndcg_at_1000
|
| 1225 |
-
value:
|
| 1226 |
- type: ndcg_at_3
|
| 1227 |
-
value:
|
| 1228 |
- type: ndcg_at_5
|
| 1229 |
-
value:
|
| 1230 |
- type: precision_at_1
|
| 1231 |
-
value:
|
| 1232 |
- type: precision_at_10
|
| 1233 |
-
value:
|
| 1234 |
- type: precision_at_100
|
| 1235 |
-
value: 7.
|
| 1236 |
- type: precision_at_1000
|
| 1237 |
-
value: 1.
|
| 1238 |
- type: precision_at_3
|
| 1239 |
-
value:
|
| 1240 |
- type: precision_at_5
|
| 1241 |
-
value:
|
| 1242 |
- type: recall_at_1
|
| 1243 |
-
value: 7.
|
| 1244 |
- type: recall_at_10
|
| 1245 |
-
value: 19.
|
| 1246 |
- type: recall_at_100
|
| 1247 |
-
value: 40.
|
| 1248 |
- type: recall_at_1000
|
| 1249 |
-
value:
|
| 1250 |
- type: recall_at_3
|
| 1251 |
-
value: 12.
|
| 1252 |
- type: recall_at_5
|
| 1253 |
-
value: 15.
|
| 1254 |
- task:
|
| 1255 |
type: Classification
|
| 1256 |
dataset:
|
|
@@ -1261,9 +1261,9 @@ model-index:
|
|
| 1261 |
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
|
| 1262 |
metrics:
|
| 1263 |
- type: accuracy
|
| 1264 |
-
value:
|
| 1265 |
- type: f1
|
| 1266 |
-
value:
|
| 1267 |
- task:
|
| 1268 |
type: Retrieval
|
| 1269 |
dataset:
|
|
@@ -1274,65 +1274,65 @@ model-index:
|
|
| 1274 |
revision: None
|
| 1275 |
metrics:
|
| 1276 |
- type: map_at_1
|
| 1277 |
-
value:
|
| 1278 |
- type: map_at_10
|
| 1279 |
-
value:
|
| 1280 |
- type: map_at_100
|
| 1281 |
-
value:
|
| 1282 |
- type: map_at_1000
|
| 1283 |
-
value:
|
| 1284 |
- type: map_at_3
|
| 1285 |
-
value:
|
| 1286 |
- type: map_at_5
|
| 1287 |
-
value:
|
| 1288 |
- type: mrr_at_1
|
| 1289 |
-
value:
|
| 1290 |
- type: mrr_at_10
|
| 1291 |
-
value:
|
| 1292 |
- type: mrr_at_100
|
| 1293 |
-
value:
|
| 1294 |
- type: mrr_at_1000
|
| 1295 |
-
value:
|
| 1296 |
- type: mrr_at_3
|
| 1297 |
-
value:
|
| 1298 |
- type: mrr_at_5
|
| 1299 |
-
value:
|
| 1300 |
- type: ndcg_at_1
|
| 1301 |
-
value:
|
| 1302 |
- type: ndcg_at_10
|
| 1303 |
-
value:
|
| 1304 |
- type: ndcg_at_100
|
| 1305 |
-
value:
|
| 1306 |
- type: ndcg_at_1000
|
| 1307 |
-
value:
|
| 1308 |
- type: ndcg_at_3
|
| 1309 |
-
value:
|
| 1310 |
- type: ndcg_at_5
|
| 1311 |
-
value:
|
| 1312 |
- type: precision_at_1
|
| 1313 |
-
value:
|
| 1314 |
- type: precision_at_10
|
| 1315 |
-
value: 9.
|
| 1316 |
- type: precision_at_100
|
| 1317 |
-
value: 1.
|
| 1318 |
- type: precision_at_1000
|
| 1319 |
value: 0.107
|
| 1320 |
- type: precision_at_3
|
| 1321 |
-
value:
|
| 1322 |
- type: precision_at_5
|
| 1323 |
-
value:
|
| 1324 |
- type: recall_at_1
|
| 1325 |
-
value:
|
| 1326 |
- type: recall_at_10
|
| 1327 |
-
value:
|
| 1328 |
- type: recall_at_100
|
| 1329 |
-
value:
|
| 1330 |
- type: recall_at_1000
|
| 1331 |
-
value: 95.
|
| 1332 |
- type: recall_at_3
|
| 1333 |
-
value:
|
| 1334 |
- type: recall_at_5
|
| 1335 |
-
value:
|
| 1336 |
- task:
|
| 1337 |
type: Retrieval
|
| 1338 |
dataset:
|
|
@@ -1343,65 +1343,65 @@ model-index:
|
|
| 1343 |
revision: None
|
| 1344 |
metrics:
|
| 1345 |
- type: map_at_1
|
| 1346 |
-
value: 16.
|
| 1347 |
- type: map_at_10
|
| 1348 |
-
value:
|
| 1349 |
- type: map_at_100
|
| 1350 |
-
value:
|
| 1351 |
- type: map_at_1000
|
| 1352 |
-
value:
|
| 1353 |
- type: map_at_3
|
| 1354 |
-
value: 23.
|
| 1355 |
- type: map_at_5
|
| 1356 |
-
value:
|
| 1357 |
- type: mrr_at_1
|
| 1358 |
-
value: 33.
|
| 1359 |
- type: mrr_at_10
|
| 1360 |
-
value:
|
| 1361 |
- type: mrr_at_100
|
| 1362 |
-
value:
|
| 1363 |
- type: mrr_at_1000
|
| 1364 |
-
value:
|
| 1365 |
- type: mrr_at_3
|
| 1366 |
-
value:
|
| 1367 |
- type: mrr_at_5
|
| 1368 |
-
value:
|
| 1369 |
- type: ndcg_at_1
|
| 1370 |
-
value: 33.
|
| 1371 |
- type: ndcg_at_10
|
| 1372 |
-
value:
|
| 1373 |
- type: ndcg_at_100
|
| 1374 |
-
value:
|
| 1375 |
- type: ndcg_at_1000
|
| 1376 |
-
value:
|
| 1377 |
- type: ndcg_at_3
|
| 1378 |
-
value:
|
| 1379 |
- type: ndcg_at_5
|
| 1380 |
-
value:
|
| 1381 |
- type: precision_at_1
|
| 1382 |
-
value: 33.
|
| 1383 |
- type: precision_at_10
|
| 1384 |
-
value:
|
| 1385 |
- type: precision_at_100
|
| 1386 |
-
value: 1.
|
| 1387 |
- type: precision_at_1000
|
| 1388 |
-
value: 0.
|
| 1389 |
- type: precision_at_3
|
| 1390 |
-
value:
|
| 1391 |
- type: precision_at_5
|
| 1392 |
-
value:
|
| 1393 |
- type: recall_at_1
|
| 1394 |
-
value: 16.
|
| 1395 |
- type: recall_at_10
|
| 1396 |
-
value:
|
| 1397 |
- type: recall_at_100
|
| 1398 |
-
value:
|
| 1399 |
- type: recall_at_1000
|
| 1400 |
-
value:
|
| 1401 |
- type: recall_at_3
|
| 1402 |
-
value:
|
| 1403 |
- type: recall_at_5
|
| 1404 |
-
value:
|
| 1405 |
- task:
|
| 1406 |
type: Retrieval
|
| 1407 |
dataset:
|
|
@@ -1412,65 +1412,65 @@ model-index:
|
|
| 1412 |
revision: None
|
| 1413 |
metrics:
|
| 1414 |
- type: map_at_1
|
| 1415 |
-
value:
|
| 1416 |
- type: map_at_10
|
| 1417 |
-
value:
|
| 1418 |
- type: map_at_100
|
| 1419 |
-
value:
|
| 1420 |
- type: map_at_1000
|
| 1421 |
-
value:
|
| 1422 |
- type: map_at_3
|
| 1423 |
-
value:
|
| 1424 |
- type: map_at_5
|
| 1425 |
-
value:
|
| 1426 |
- type: mrr_at_1
|
| 1427 |
-
value:
|
| 1428 |
- type: mrr_at_10
|
| 1429 |
-
value:
|
| 1430 |
- type: mrr_at_100
|
| 1431 |
-
value:
|
| 1432 |
- type: mrr_at_1000
|
| 1433 |
-
value:
|
| 1434 |
- type: mrr_at_3
|
| 1435 |
-
value:
|
| 1436 |
- type: mrr_at_5
|
| 1437 |
-
value:
|
| 1438 |
- type: ndcg_at_1
|
| 1439 |
-
value:
|
| 1440 |
- type: ndcg_at_10
|
| 1441 |
-
value:
|
| 1442 |
- type: ndcg_at_100
|
| 1443 |
-
value:
|
| 1444 |
- type: ndcg_at_1000
|
| 1445 |
-
value:
|
| 1446 |
- type: ndcg_at_3
|
| 1447 |
-
value:
|
| 1448 |
- type: ndcg_at_5
|
| 1449 |
-
value:
|
| 1450 |
- type: precision_at_1
|
| 1451 |
-
value:
|
| 1452 |
- type: precision_at_10
|
| 1453 |
-
value: 10.
|
| 1454 |
- type: precision_at_100
|
| 1455 |
-
value: 1.
|
| 1456 |
- type: precision_at_1000
|
| 1457 |
-
value: 0.
|
| 1458 |
- type: precision_at_3
|
| 1459 |
-
value:
|
| 1460 |
- type: precision_at_5
|
| 1461 |
-
value:
|
| 1462 |
- type: recall_at_1
|
| 1463 |
-
value:
|
| 1464 |
- type: recall_at_10
|
| 1465 |
-
value:
|
| 1466 |
- type: recall_at_100
|
| 1467 |
-
value: 65.
|
| 1468 |
- type: recall_at_1000
|
| 1469 |
-
value:
|
| 1470 |
- type: recall_at_3
|
| 1471 |
-
value:
|
| 1472 |
- type: recall_at_5
|
| 1473 |
-
value:
|
| 1474 |
- task:
|
| 1475 |
type: Classification
|
| 1476 |
dataset:
|
|
@@ -1481,11 +1481,11 @@ model-index:
|
|
| 1481 |
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
|
| 1482 |
metrics:
|
| 1483 |
- type: accuracy
|
| 1484 |
-
value:
|
| 1485 |
- type: ap
|
| 1486 |
-
value:
|
| 1487 |
- type: f1
|
| 1488 |
-
value:
|
| 1489 |
- task:
|
| 1490 |
type: Retrieval
|
| 1491 |
dataset:
|
|
@@ -1496,65 +1496,65 @@ model-index:
|
|
| 1496 |
revision: None
|
| 1497 |
metrics:
|
| 1498 |
- type: map_at_1
|
| 1499 |
-
value:
|
| 1500 |
- type: map_at_10
|
| 1501 |
-
value:
|
| 1502 |
- type: map_at_100
|
| 1503 |
-
value:
|
| 1504 |
- type: map_at_1000
|
| 1505 |
-
value:
|
| 1506 |
- type: map_at_3
|
| 1507 |
-
value:
|
| 1508 |
- type: map_at_5
|
| 1509 |
-
value:
|
| 1510 |
- type: mrr_at_1
|
| 1511 |
-
value:
|
| 1512 |
- type: mrr_at_10
|
| 1513 |
-
value:
|
| 1514 |
- type: mrr_at_100
|
| 1515 |
-
value:
|
| 1516 |
- type: mrr_at_1000
|
| 1517 |
-
value:
|
| 1518 |
- type: mrr_at_3
|
| 1519 |
-
value:
|
| 1520 |
- type: mrr_at_5
|
| 1521 |
-
value:
|
| 1522 |
- type: ndcg_at_1
|
| 1523 |
-
value:
|
| 1524 |
- type: ndcg_at_10
|
| 1525 |
-
value:
|
| 1526 |
- type: ndcg_at_100
|
| 1527 |
-
value:
|
| 1528 |
- type: ndcg_at_1000
|
| 1529 |
-
value:
|
| 1530 |
- type: ndcg_at_3
|
| 1531 |
-
value:
|
| 1532 |
- type: ndcg_at_5
|
| 1533 |
-
value:
|
| 1534 |
- type: precision_at_1
|
| 1535 |
-
value:
|
| 1536 |
- type: precision_at_10
|
| 1537 |
-
value:
|
| 1538 |
- type: precision_at_100
|
| 1539 |
-
value: 0.
|
| 1540 |
- type: precision_at_1000
|
| 1541 |
value: 0.10300000000000001
|
| 1542 |
- type: precision_at_3
|
| 1543 |
-
value:
|
| 1544 |
- type: precision_at_5
|
| 1545 |
-
value:
|
| 1546 |
- type: recall_at_1
|
| 1547 |
-
value:
|
| 1548 |
- type: recall_at_10
|
| 1549 |
-
value:
|
| 1550 |
- type: recall_at_100
|
| 1551 |
-
value:
|
| 1552 |
- type: recall_at_1000
|
| 1553 |
-
value:
|
| 1554 |
- type: recall_at_3
|
| 1555 |
-
value:
|
| 1556 |
- type: recall_at_5
|
| 1557 |
-
value:
|
| 1558 |
- task:
|
| 1559 |
type: Classification
|
| 1560 |
dataset:
|
|
@@ -1565,9 +1565,9 @@ model-index:
|
|
| 1565 |
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
|
| 1566 |
metrics:
|
| 1567 |
- type: accuracy
|
| 1568 |
-
value: 91.
|
| 1569 |
- type: f1
|
| 1570 |
-
value: 91.
|
| 1571 |
- task:
|
| 1572 |
type: Classification
|
| 1573 |
dataset:
|
|
@@ -1578,9 +1578,9 @@ model-index:
|
|
| 1578 |
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
|
| 1579 |
metrics:
|
| 1580 |
- type: accuracy
|
| 1581 |
-
value:
|
| 1582 |
- type: f1
|
| 1583 |
-
value:
|
| 1584 |
- task:
|
| 1585 |
type: Classification
|
| 1586 |
dataset:
|
|
@@ -1591,9 +1591,9 @@ model-index:
|
|
| 1591 |
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
|
| 1592 |
metrics:
|
| 1593 |
- type: accuracy
|
| 1594 |
-
value: 71.
|
| 1595 |
- type: f1
|
| 1596 |
-
value: 68.
|
| 1597 |
- task:
|
| 1598 |
type: Classification
|
| 1599 |
dataset:
|
|
@@ -1604,9 +1604,9 @@ model-index:
|
|
| 1604 |
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 1605 |
metrics:
|
| 1606 |
- type: accuracy
|
| 1607 |
-
value:
|
| 1608 |
- type: f1
|
| 1609 |
-
value: 76.
|
| 1610 |
- task:
|
| 1611 |
type: Clustering
|
| 1612 |
dataset:
|
|
@@ -1617,7 +1617,7 @@ model-index:
|
|
| 1617 |
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
|
| 1618 |
metrics:
|
| 1619 |
- type: v_measure
|
| 1620 |
-
value:
|
| 1621 |
- task:
|
| 1622 |
type: Clustering
|
| 1623 |
dataset:
|
|
@@ -1628,7 +1628,7 @@ model-index:
|
|
| 1628 |
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
|
| 1629 |
metrics:
|
| 1630 |
- type: v_measure
|
| 1631 |
-
value: 25.
|
| 1632 |
- task:
|
| 1633 |
type: Reranking
|
| 1634 |
dataset:
|
|
@@ -1639,9 +1639,9 @@ model-index:
|
|
| 1639 |
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
|
| 1640 |
metrics:
|
| 1641 |
- type: map
|
| 1642 |
-
value: 31.
|
| 1643 |
- type: mrr
|
| 1644 |
-
value:
|
| 1645 |
- task:
|
| 1646 |
type: Retrieval
|
| 1647 |
dataset:
|
|
@@ -1652,65 +1652,65 @@ model-index:
|
|
| 1652 |
revision: None
|
| 1653 |
metrics:
|
| 1654 |
- type: map_at_1
|
| 1655 |
-
value: 4.
|
| 1656 |
- type: map_at_10
|
| 1657 |
-
value: 10.
|
| 1658 |
- type: map_at_100
|
| 1659 |
-
value:
|
| 1660 |
- type: map_at_1000
|
| 1661 |
-
value: 14.
|
| 1662 |
- type: map_at_3
|
| 1663 |
-
value: 7.
|
| 1664 |
- type: map_at_5
|
| 1665 |
-
value:
|
| 1666 |
- type: mrr_at_1
|
| 1667 |
-
value:
|
| 1668 |
- type: mrr_at_10
|
| 1669 |
-
value:
|
| 1670 |
- type: mrr_at_100
|
| 1671 |
-
value:
|
| 1672 |
- type: mrr_at_1000
|
| 1673 |
-
value:
|
| 1674 |
- type: mrr_at_3
|
| 1675 |
-
value:
|
| 1676 |
- type: mrr_at_5
|
| 1677 |
-
value:
|
| 1678 |
- type: ndcg_at_1
|
| 1679 |
-
value:
|
| 1680 |
- type: ndcg_at_10
|
| 1681 |
-
value:
|
| 1682 |
- type: ndcg_at_100
|
| 1683 |
-
value: 27.
|
| 1684 |
- type: ndcg_at_1000
|
| 1685 |
-
value: 36.
|
| 1686 |
- type: ndcg_at_3
|
| 1687 |
-
value:
|
| 1688 |
- type: ndcg_at_5
|
| 1689 |
-
value:
|
| 1690 |
- type: precision_at_1
|
| 1691 |
-
value:
|
| 1692 |
- type: precision_at_10
|
| 1693 |
-
value: 22.
|
| 1694 |
- type: precision_at_100
|
| 1695 |
-
value: 7.
|
| 1696 |
- type: precision_at_1000
|
| 1697 |
-
value: 1.
|
| 1698 |
- type: precision_at_3
|
| 1699 |
-
value:
|
| 1700 |
- type: precision_at_5
|
| 1701 |
-
value:
|
| 1702 |
- type: recall_at_1
|
| 1703 |
-
value: 4.
|
| 1704 |
- type: recall_at_10
|
| 1705 |
-
value: 14.
|
| 1706 |
- type: recall_at_100
|
| 1707 |
-
value: 28.
|
| 1708 |
- type: recall_at_1000
|
| 1709 |
-
value:
|
| 1710 |
- type: recall_at_3
|
| 1711 |
-
value: 8.
|
| 1712 |
- type: recall_at_5
|
| 1713 |
-
value: 11.
|
| 1714 |
- task:
|
| 1715 |
type: Retrieval
|
| 1716 |
dataset:
|
|
@@ -1721,65 +1721,65 @@ model-index:
|
|
| 1721 |
revision: None
|
| 1722 |
metrics:
|
| 1723 |
- type: map_at_1
|
| 1724 |
-
value:
|
| 1725 |
- type: map_at_10
|
| 1726 |
-
value:
|
| 1727 |
- type: map_at_100
|
| 1728 |
-
value:
|
| 1729 |
- type: map_at_1000
|
| 1730 |
-
value:
|
| 1731 |
- type: map_at_3
|
| 1732 |
-
value:
|
| 1733 |
- type: map_at_5
|
| 1734 |
-
value:
|
| 1735 |
- type: mrr_at_1
|
| 1736 |
-
value:
|
| 1737 |
- type: mrr_at_10
|
| 1738 |
-
value:
|
| 1739 |
- type: mrr_at_100
|
| 1740 |
-
value:
|
| 1741 |
- type: mrr_at_1000
|
| 1742 |
-
value:
|
| 1743 |
- type: mrr_at_3
|
| 1744 |
-
value:
|
| 1745 |
- type: mrr_at_5
|
| 1746 |
-
value:
|
| 1747 |
- type: ndcg_at_1
|
| 1748 |
-
value:
|
| 1749 |
- type: ndcg_at_10
|
| 1750 |
-
value:
|
| 1751 |
- type: ndcg_at_100
|
| 1752 |
-
value:
|
| 1753 |
- type: ndcg_at_1000
|
| 1754 |
-
value:
|
| 1755 |
- type: ndcg_at_3
|
| 1756 |
-
value:
|
| 1757 |
- type: ndcg_at_5
|
| 1758 |
-
value:
|
| 1759 |
- type: precision_at_1
|
| 1760 |
-
value:
|
| 1761 |
- type: precision_at_10
|
| 1762 |
-
value:
|
| 1763 |
- type: precision_at_100
|
| 1764 |
-
value: 1.
|
| 1765 |
- type: precision_at_1000
|
| 1766 |
value: 0.117
|
| 1767 |
- type: precision_at_3
|
| 1768 |
-
value:
|
| 1769 |
- type: precision_at_5
|
| 1770 |
-
value:
|
| 1771 |
- type: recall_at_1
|
| 1772 |
-
value:
|
| 1773 |
- type: recall_at_10
|
| 1774 |
-
value:
|
| 1775 |
- type: recall_at_100
|
| 1776 |
-
value:
|
| 1777 |
- type: recall_at_1000
|
| 1778 |
-
value: 96.
|
| 1779 |
- type: recall_at_3
|
| 1780 |
-
value:
|
| 1781 |
- type: recall_at_5
|
| 1782 |
-
value:
|
| 1783 |
- task:
|
| 1784 |
type: Retrieval
|
| 1785 |
dataset:
|
|
@@ -1790,65 +1790,65 @@ model-index:
|
|
| 1790 |
revision: None
|
| 1791 |
metrics:
|
| 1792 |
- type: map_at_1
|
| 1793 |
-
value: 69.
|
| 1794 |
- type: map_at_10
|
| 1795 |
-
value: 83.
|
| 1796 |
- type: map_at_100
|
| 1797 |
-
value:
|
| 1798 |
- type: map_at_1000
|
| 1799 |
-
value:
|
| 1800 |
- type: map_at_3
|
| 1801 |
-
value: 80.
|
| 1802 |
- type: map_at_5
|
| 1803 |
-
value: 82.
|
| 1804 |
- type: mrr_at_1
|
| 1805 |
-
value:
|
| 1806 |
- type: mrr_at_10
|
| 1807 |
-
value: 86.
|
| 1808 |
- type: mrr_at_100
|
| 1809 |
-
value: 86.
|
| 1810 |
- type: mrr_at_1000
|
| 1811 |
-
value: 86.
|
| 1812 |
- type: mrr_at_3
|
| 1813 |
-
value: 85.
|
| 1814 |
- type: mrr_at_5
|
| 1815 |
-
value:
|
| 1816 |
- type: ndcg_at_1
|
| 1817 |
-
value:
|
| 1818 |
- type: ndcg_at_10
|
| 1819 |
-
value: 87.
|
| 1820 |
- type: ndcg_at_100
|
| 1821 |
-
value: 88.
|
| 1822 |
- type: ndcg_at_1000
|
| 1823 |
-
value:
|
| 1824 |
- type: ndcg_at_3
|
| 1825 |
-
value: 84.
|
| 1826 |
- type: ndcg_at_5
|
| 1827 |
-
value:
|
| 1828 |
- type: precision_at_1
|
| 1829 |
-
value:
|
| 1830 |
- type: precision_at_10
|
| 1831 |
-
value: 13.
|
| 1832 |
- type: precision_at_100
|
| 1833 |
-
value: 1.
|
| 1834 |
- type: precision_at_1000
|
| 1835 |
value: 0.157
|
| 1836 |
- type: precision_at_3
|
| 1837 |
-
value: 36.
|
| 1838 |
- type: precision_at_5
|
| 1839 |
-
value: 24.
|
| 1840 |
- type: recall_at_1
|
| 1841 |
-
value: 69.
|
| 1842 |
- type: recall_at_10
|
| 1843 |
-
value: 94.
|
| 1844 |
- type: recall_at_100
|
| 1845 |
-
value: 99.
|
| 1846 |
- type: recall_at_1000
|
| 1847 |
-
value: 99.
|
| 1848 |
- type: recall_at_3
|
| 1849 |
-
value: 86.
|
| 1850 |
- type: recall_at_5
|
| 1851 |
-
value:
|
| 1852 |
- task:
|
| 1853 |
type: Clustering
|
| 1854 |
dataset:
|
|
@@ -1859,7 +1859,7 @@ model-index:
|
|
| 1859 |
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
|
| 1860 |
metrics:
|
| 1861 |
- type: v_measure
|
| 1862 |
-
value:
|
| 1863 |
- task:
|
| 1864 |
type: Clustering
|
| 1865 |
dataset:
|
|
@@ -1870,7 +1870,7 @@ model-index:
|
|
| 1870 |
revision: 282350215ef01743dc01b456c7f5241fa8937f16
|
| 1871 |
metrics:
|
| 1872 |
- type: v_measure
|
| 1873 |
-
value:
|
| 1874 |
- task:
|
| 1875 |
type: Retrieval
|
| 1876 |
dataset:
|
|
@@ -1881,65 +1881,65 @@ model-index:
|
|
| 1881 |
revision: None
|
| 1882 |
metrics:
|
| 1883 |
- type: map_at_1
|
| 1884 |
-
value: 4.
|
| 1885 |
- type: map_at_10
|
| 1886 |
-
value: 10.
|
| 1887 |
- type: map_at_100
|
| 1888 |
-
value: 12.
|
| 1889 |
- type: map_at_1000
|
| 1890 |
-
value: 12.
|
| 1891 |
- type: map_at_3
|
| 1892 |
-
value: 7.
|
| 1893 |
- type: map_at_5
|
| 1894 |
-
value:
|
| 1895 |
- type: mrr_at_1
|
| 1896 |
-
value:
|
| 1897 |
- type: mrr_at_10
|
| 1898 |
-
value: 30.
|
| 1899 |
- type: mrr_at_100
|
| 1900 |
-
value: 31.
|
| 1901 |
- type: mrr_at_1000
|
| 1902 |
-
value: 31.
|
| 1903 |
- type: mrr_at_3
|
| 1904 |
-
value:
|
| 1905 |
- type: mrr_at_5
|
| 1906 |
-
value:
|
| 1907 |
- type: ndcg_at_1
|
| 1908 |
-
value:
|
| 1909 |
- type: ndcg_at_10
|
| 1910 |
-
value: 17.
|
| 1911 |
- type: ndcg_at_100
|
| 1912 |
-
value: 25.
|
| 1913 |
- type: ndcg_at_1000
|
| 1914 |
-
value: 30.
|
| 1915 |
- type: ndcg_at_3
|
| 1916 |
-
value: 16.
|
| 1917 |
- type: ndcg_at_5
|
| 1918 |
-
value: 14.
|
| 1919 |
- type: precision_at_1
|
| 1920 |
-
value:
|
| 1921 |
- type: precision_at_10
|
| 1922 |
-
value: 9.
|
| 1923 |
- type: precision_at_100
|
| 1924 |
-
value:
|
| 1925 |
- type: precision_at_1000
|
| 1926 |
-
value: 0.
|
| 1927 |
- type: precision_at_3
|
| 1928 |
-
value: 15.
|
| 1929 |
- type: precision_at_5
|
| 1930 |
-
value: 12.
|
| 1931 |
- type: recall_at_1
|
| 1932 |
-
value: 4.
|
| 1933 |
- type: recall_at_10
|
| 1934 |
-
value: 18.
|
| 1935 |
- type: recall_at_100
|
| 1936 |
-
value: 40.
|
| 1937 |
- type: recall_at_1000
|
| 1938 |
-
value:
|
| 1939 |
- type: recall_at_3
|
| 1940 |
-
value: 9.
|
| 1941 |
- type: recall_at_5
|
| 1942 |
-
value:
|
| 1943 |
- task:
|
| 1944 |
type: STS
|
| 1945 |
dataset:
|
|
@@ -1950,17 +1950,17 @@ model-index:
|
|
| 1950 |
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
|
| 1951 |
metrics:
|
| 1952 |
- type: cos_sim_pearson
|
| 1953 |
-
value:
|
| 1954 |
- type: cos_sim_spearman
|
| 1955 |
-
value:
|
| 1956 |
- type: euclidean_pearson
|
| 1957 |
-
value:
|
| 1958 |
- type: euclidean_spearman
|
| 1959 |
-
value:
|
| 1960 |
- type: manhattan_pearson
|
| 1961 |
-
value:
|
| 1962 |
- type: manhattan_spearman
|
| 1963 |
-
value:
|
| 1964 |
- task:
|
| 1965 |
type: STS
|
| 1966 |
dataset:
|
|
@@ -1971,17 +1971,17 @@ model-index:
|
|
| 1971 |
revision: a0d554a64d88156834ff5ae9920b964011b16384
|
| 1972 |
metrics:
|
| 1973 |
- type: cos_sim_pearson
|
| 1974 |
-
value:
|
| 1975 |
- type: cos_sim_spearman
|
| 1976 |
-
value:
|
| 1977 |
- type: euclidean_pearson
|
| 1978 |
-
value:
|
| 1979 |
- type: euclidean_spearman
|
| 1980 |
-
value:
|
| 1981 |
- type: manhattan_pearson
|
| 1982 |
-
value:
|
| 1983 |
- type: manhattan_spearman
|
| 1984 |
-
value:
|
| 1985 |
- task:
|
| 1986 |
type: STS
|
| 1987 |
dataset:
|
|
@@ -1992,17 +1992,17 @@ model-index:
|
|
| 1992 |
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
|
| 1993 |
metrics:
|
| 1994 |
- type: cos_sim_pearson
|
| 1995 |
-
value:
|
| 1996 |
- type: cos_sim_spearman
|
| 1997 |
-
value:
|
| 1998 |
- type: euclidean_pearson
|
| 1999 |
-
value:
|
| 2000 |
- type: euclidean_spearman
|
| 2001 |
-
value:
|
| 2002 |
- type: manhattan_pearson
|
| 2003 |
-
value:
|
| 2004 |
- type: manhattan_spearman
|
| 2005 |
-
value:
|
| 2006 |
- task:
|
| 2007 |
type: STS
|
| 2008 |
dataset:
|
|
@@ -2013,17 +2013,17 @@ model-index:
|
|
| 2013 |
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
|
| 2014 |
metrics:
|
| 2015 |
- type: cos_sim_pearson
|
| 2016 |
-
value:
|
| 2017 |
- type: cos_sim_spearman
|
| 2018 |
-
value:
|
| 2019 |
- type: euclidean_pearson
|
| 2020 |
-
value:
|
| 2021 |
- type: euclidean_spearman
|
| 2022 |
-
value:
|
| 2023 |
- type: manhattan_pearson
|
| 2024 |
-
value:
|
| 2025 |
- type: manhattan_spearman
|
| 2026 |
-
value:
|
| 2027 |
- task:
|
| 2028 |
type: STS
|
| 2029 |
dataset:
|
|
@@ -2034,17 +2034,17 @@ model-index:
|
|
| 2034 |
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
|
| 2035 |
metrics:
|
| 2036 |
- type: cos_sim_pearson
|
| 2037 |
-
value:
|
| 2038 |
- type: cos_sim_spearman
|
| 2039 |
-
value: 85.
|
| 2040 |
- type: euclidean_pearson
|
| 2041 |
-
value:
|
| 2042 |
- type: euclidean_spearman
|
| 2043 |
-
value:
|
| 2044 |
- type: manhattan_pearson
|
| 2045 |
-
value:
|
| 2046 |
- type: manhattan_spearman
|
| 2047 |
-
value:
|
| 2048 |
- task:
|
| 2049 |
type: STS
|
| 2050 |
dataset:
|
|
@@ -2055,17 +2055,17 @@ model-index:
|
|
| 2055 |
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
|
| 2056 |
metrics:
|
| 2057 |
- type: cos_sim_pearson
|
| 2058 |
-
value:
|
| 2059 |
- type: cos_sim_spearman
|
| 2060 |
-
value:
|
| 2061 |
- type: euclidean_pearson
|
| 2062 |
-
value:
|
| 2063 |
- type: euclidean_spearman
|
| 2064 |
-
value:
|
| 2065 |
- type: manhattan_pearson
|
| 2066 |
-
value:
|
| 2067 |
- type: manhattan_spearman
|
| 2068 |
-
value:
|
| 2069 |
- task:
|
| 2070 |
type: STS
|
| 2071 |
dataset:
|
|
@@ -2076,17 +2076,17 @@ model-index:
|
|
| 2076 |
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
| 2077 |
metrics:
|
| 2078 |
- type: cos_sim_pearson
|
| 2079 |
-
value:
|
| 2080 |
- type: cos_sim_spearman
|
| 2081 |
-
value:
|
| 2082 |
- type: euclidean_pearson
|
| 2083 |
-
value:
|
| 2084 |
- type: euclidean_spearman
|
| 2085 |
-
value:
|
| 2086 |
- type: manhattan_pearson
|
| 2087 |
-
value:
|
| 2088 |
- type: manhattan_spearman
|
| 2089 |
-
value:
|
| 2090 |
- task:
|
| 2091 |
type: STS
|
| 2092 |
dataset:
|
|
@@ -2097,17 +2097,17 @@ model-index:
|
|
| 2097 |
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
|
| 2098 |
metrics:
|
| 2099 |
- type: cos_sim_pearson
|
| 2100 |
-
value:
|
| 2101 |
- type: cos_sim_spearman
|
| 2102 |
-
value: 66.
|
| 2103 |
- type: euclidean_pearson
|
| 2104 |
-
value:
|
| 2105 |
- type: euclidean_spearman
|
| 2106 |
-
value: 60.
|
| 2107 |
- type: manhattan_pearson
|
| 2108 |
-
value:
|
| 2109 |
- type: manhattan_spearman
|
| 2110 |
-
value:
|
| 2111 |
- task:
|
| 2112 |
type: STS
|
| 2113 |
dataset:
|
|
@@ -2118,17 +2118,17 @@ model-index:
|
|
| 2118 |
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
|
| 2119 |
metrics:
|
| 2120 |
- type: cos_sim_pearson
|
| 2121 |
-
value:
|
| 2122 |
- type: cos_sim_spearman
|
| 2123 |
-
value:
|
| 2124 |
- type: euclidean_pearson
|
| 2125 |
-
value: 72.
|
| 2126 |
- type: euclidean_spearman
|
| 2127 |
-
value:
|
| 2128 |
- type: manhattan_pearson
|
| 2129 |
-
value: 72.
|
| 2130 |
- type: manhattan_spearman
|
| 2131 |
-
value:
|
| 2132 |
- task:
|
| 2133 |
type: Reranking
|
| 2134 |
dataset:
|
|
@@ -2139,9 +2139,9 @@ model-index:
|
|
| 2139 |
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
|
| 2140 |
metrics:
|
| 2141 |
- type: map
|
| 2142 |
-
value: 79.
|
| 2143 |
- type: mrr
|
| 2144 |
-
value: 93.
|
| 2145 |
- task:
|
| 2146 |
type: Retrieval
|
| 2147 |
dataset:
|
|
@@ -2152,65 +2152,65 @@ model-index:
|
|
| 2152 |
revision: None
|
| 2153 |
metrics:
|
| 2154 |
- type: map_at_1
|
| 2155 |
-
value:
|
| 2156 |
- type: map_at_10
|
| 2157 |
-
value:
|
| 2158 |
- type: map_at_100
|
| 2159 |
-
value:
|
| 2160 |
- type: map_at_1000
|
| 2161 |
-
value:
|
| 2162 |
- type: map_at_3
|
| 2163 |
-
value:
|
| 2164 |
- type: map_at_5
|
| 2165 |
-
value:
|
| 2166 |
- type: mrr_at_1
|
| 2167 |
-
value:
|
| 2168 |
- type: mrr_at_10
|
| 2169 |
-
value:
|
| 2170 |
- type: mrr_at_100
|
| 2171 |
-
value:
|
| 2172 |
- type: mrr_at_1000
|
| 2173 |
-
value:
|
| 2174 |
- type: mrr_at_3
|
| 2175 |
-
value:
|
| 2176 |
- type: mrr_at_5
|
| 2177 |
-
value:
|
| 2178 |
- type: ndcg_at_1
|
| 2179 |
-
value:
|
| 2180 |
- type: ndcg_at_10
|
| 2181 |
-
value:
|
| 2182 |
- type: ndcg_at_100
|
| 2183 |
-
value:
|
| 2184 |
- type: ndcg_at_1000
|
| 2185 |
-
value: 63.
|
| 2186 |
- type: ndcg_at_3
|
| 2187 |
-
value:
|
| 2188 |
- type: ndcg_at_5
|
| 2189 |
-
value:
|
| 2190 |
- type: precision_at_1
|
| 2191 |
-
value:
|
| 2192 |
- type: precision_at_10
|
| 2193 |
-
value: 8.
|
| 2194 |
- type: precision_at_100
|
| 2195 |
-
value: 0.
|
| 2196 |
- type: precision_at_1000
|
| 2197 |
value: 0.11
|
| 2198 |
- type: precision_at_3
|
| 2199 |
-
value: 21.
|
| 2200 |
- type: precision_at_5
|
| 2201 |
-
value: 14.
|
| 2202 |
- type: recall_at_1
|
| 2203 |
-
value:
|
| 2204 |
- type: recall_at_10
|
| 2205 |
-
value: 71.
|
| 2206 |
- type: recall_at_100
|
| 2207 |
-
value:
|
| 2208 |
- type: recall_at_1000
|
| 2209 |
value: 97.5
|
| 2210 |
- type: recall_at_3
|
| 2211 |
-
value:
|
| 2212 |
- type: recall_at_5
|
| 2213 |
-
value:
|
| 2214 |
- task:
|
| 2215 |
type: PairClassification
|
| 2216 |
dataset:
|
|
@@ -2221,51 +2221,51 @@ model-index:
|
|
| 2221 |
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
|
| 2222 |
metrics:
|
| 2223 |
- type: cos_sim_accuracy
|
| 2224 |
-
value: 99.
|
| 2225 |
- type: cos_sim_ap
|
| 2226 |
-
value:
|
| 2227 |
- type: cos_sim_f1
|
| 2228 |
-
value:
|
| 2229 |
- type: cos_sim_precision
|
| 2230 |
-
value:
|
| 2231 |
- type: cos_sim_recall
|
| 2232 |
-
value:
|
| 2233 |
- type: dot_accuracy
|
| 2234 |
-
value: 99.
|
| 2235 |
- type: dot_ap
|
| 2236 |
-
value:
|
| 2237 |
- type: dot_f1
|
| 2238 |
-
value:
|
| 2239 |
- type: dot_precision
|
| 2240 |
-
value:
|
| 2241 |
- type: dot_recall
|
| 2242 |
-
value:
|
| 2243 |
- type: euclidean_accuracy
|
| 2244 |
-
value: 99.
|
| 2245 |
- type: euclidean_ap
|
| 2246 |
-
value:
|
| 2247 |
- type: euclidean_f1
|
| 2248 |
-
value:
|
| 2249 |
- type: euclidean_precision
|
| 2250 |
-
value:
|
| 2251 |
- type: euclidean_recall
|
| 2252 |
-
value:
|
| 2253 |
- type: manhattan_accuracy
|
| 2254 |
-
value: 99.
|
| 2255 |
- type: manhattan_ap
|
| 2256 |
-
value:
|
| 2257 |
- type: manhattan_f1
|
| 2258 |
-
value:
|
| 2259 |
- type: manhattan_precision
|
| 2260 |
-
value:
|
| 2261 |
- type: manhattan_recall
|
| 2262 |
-
value:
|
| 2263 |
- type: max_accuracy
|
| 2264 |
-
value: 99.
|
| 2265 |
- type: max_ap
|
| 2266 |
-
value:
|
| 2267 |
- type: max_f1
|
| 2268 |
-
value:
|
| 2269 |
- task:
|
| 2270 |
type: Clustering
|
| 2271 |
dataset:
|
|
@@ -2276,7 +2276,7 @@ model-index:
|
|
| 2276 |
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
|
| 2277 |
metrics:
|
| 2278 |
- type: v_measure
|
| 2279 |
-
value:
|
| 2280 |
- task:
|
| 2281 |
type: Clustering
|
| 2282 |
dataset:
|
|
@@ -2287,7 +2287,7 @@ model-index:
|
|
| 2287 |
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
|
| 2288 |
metrics:
|
| 2289 |
- type: v_measure
|
| 2290 |
-
value: 31.
|
| 2291 |
- task:
|
| 2292 |
type: Reranking
|
| 2293 |
dataset:
|
|
@@ -2298,9 +2298,9 @@ model-index:
|
|
| 2298 |
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
|
| 2299 |
metrics:
|
| 2300 |
- type: map
|
| 2301 |
-
value: 50.
|
| 2302 |
- type: mrr
|
| 2303 |
-
value:
|
| 2304 |
- task:
|
| 2305 |
type: Summarization
|
| 2306 |
dataset:
|
|
@@ -2311,13 +2311,13 @@ model-index:
|
|
| 2311 |
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
|
| 2312 |
metrics:
|
| 2313 |
- type: cos_sim_pearson
|
| 2314 |
-
value:
|
| 2315 |
- type: cos_sim_spearman
|
| 2316 |
-
value: 30.
|
| 2317 |
- type: dot_pearson
|
| 2318 |
-
value:
|
| 2319 |
- type: dot_spearman
|
| 2320 |
-
value:
|
| 2321 |
- task:
|
| 2322 |
type: Retrieval
|
| 2323 |
dataset:
|
|
@@ -2328,65 +2328,65 @@ model-index:
|
|
| 2328 |
revision: None
|
| 2329 |
metrics:
|
| 2330 |
- type: map_at_1
|
| 2331 |
-
value: 0.
|
| 2332 |
- type: map_at_10
|
| 2333 |
-
value: 1.
|
| 2334 |
- type: map_at_100
|
| 2335 |
-
value:
|
| 2336 |
- type: map_at_1000
|
| 2337 |
-
value:
|
| 2338 |
- type: map_at_3
|
| 2339 |
-
value: 0.
|
| 2340 |
- type: map_at_5
|
| 2341 |
-
value: 0.
|
| 2342 |
- type: mrr_at_1
|
| 2343 |
-
value:
|
| 2344 |
- type: mrr_at_10
|
| 2345 |
-
value:
|
| 2346 |
- type: mrr_at_100
|
| 2347 |
-
value:
|
| 2348 |
- type: mrr_at_1000
|
| 2349 |
-
value:
|
| 2350 |
- type: mrr_at_3
|
| 2351 |
-
value:
|
| 2352 |
- type: mrr_at_5
|
| 2353 |
-
value:
|
| 2354 |
- type: ndcg_at_1
|
| 2355 |
-
value:
|
| 2356 |
- type: ndcg_at_10
|
| 2357 |
-
value:
|
| 2358 |
- type: ndcg_at_100
|
| 2359 |
-
value:
|
| 2360 |
- type: ndcg_at_1000
|
| 2361 |
-
value:
|
| 2362 |
- type: ndcg_at_3
|
| 2363 |
-
value:
|
| 2364 |
- type: ndcg_at_5
|
| 2365 |
-
value:
|
| 2366 |
- type: precision_at_1
|
| 2367 |
-
value:
|
| 2368 |
- type: precision_at_10
|
| 2369 |
-
value:
|
| 2370 |
- type: precision_at_100
|
| 2371 |
-
value:
|
| 2372 |
- type: precision_at_1000
|
| 2373 |
-
value:
|
| 2374 |
- type: precision_at_3
|
| 2375 |
-
value:
|
| 2376 |
- type: precision_at_5
|
| 2377 |
-
value:
|
| 2378 |
- type: recall_at_1
|
| 2379 |
-
value: 0.
|
| 2380 |
- type: recall_at_10
|
| 2381 |
-
value: 1.
|
| 2382 |
- type: recall_at_100
|
| 2383 |
-
value:
|
| 2384 |
- type: recall_at_1000
|
| 2385 |
-
value:
|
| 2386 |
- type: recall_at_3
|
| 2387 |
-
value: 0.
|
| 2388 |
- type: recall_at_5
|
| 2389 |
-
value: 0.
|
| 2390 |
- task:
|
| 2391 |
type: Retrieval
|
| 2392 |
dataset:
|
|
@@ -2397,65 +2397,65 @@ model-index:
|
|
| 2397 |
revision: None
|
| 2398 |
metrics:
|
| 2399 |
- type: map_at_1
|
| 2400 |
-
value: 1.
|
| 2401 |
- type: map_at_10
|
| 2402 |
-
value: 7.
|
| 2403 |
- type: map_at_100
|
| 2404 |
-
value:
|
| 2405 |
- type: map_at_1000
|
| 2406 |
-
value:
|
| 2407 |
- type: map_at_3
|
| 2408 |
-
value: 3.
|
| 2409 |
- type: map_at_5
|
| 2410 |
-
value: 4.
|
| 2411 |
- type: mrr_at_1
|
| 2412 |
-
value:
|
| 2413 |
- type: mrr_at_10
|
| 2414 |
-
value:
|
| 2415 |
- type: mrr_at_100
|
| 2416 |
-
value:
|
| 2417 |
- type: mrr_at_1000
|
| 2418 |
-
value:
|
| 2419 |
- type: mrr_at_3
|
| 2420 |
-
value:
|
| 2421 |
- type: mrr_at_5
|
| 2422 |
-
value:
|
| 2423 |
- type: ndcg_at_1
|
| 2424 |
-
value:
|
| 2425 |
- type: ndcg_at_10
|
| 2426 |
-
value: 18.
|
| 2427 |
- type: ndcg_at_100
|
| 2428 |
-
value:
|
| 2429 |
- type: ndcg_at_1000
|
| 2430 |
-
value:
|
| 2431 |
- type: ndcg_at_3
|
| 2432 |
-
value: 18.
|
| 2433 |
- type: ndcg_at_5
|
| 2434 |
-
value:
|
| 2435 |
- type: precision_at_1
|
| 2436 |
-
value:
|
| 2437 |
- type: precision_at_10
|
| 2438 |
-
value: 17.
|
| 2439 |
- type: precision_at_100
|
| 2440 |
-
value: 6.
|
| 2441 |
- type: precision_at_1000
|
| 2442 |
-
value: 1.
|
| 2443 |
- type: precision_at_3
|
| 2444 |
value: 20.408
|
| 2445 |
- type: precision_at_5
|
| 2446 |
-
value:
|
| 2447 |
- type: recall_at_1
|
| 2448 |
-
value: 1.
|
| 2449 |
- type: recall_at_10
|
| 2450 |
-
value:
|
| 2451 |
- type: recall_at_100
|
| 2452 |
-
value:
|
| 2453 |
- type: recall_at_1000
|
| 2454 |
-
value:
|
| 2455 |
- type: recall_at_3
|
| 2456 |
-
value: 4.
|
| 2457 |
- type: recall_at_5
|
| 2458 |
-
value:
|
| 2459 |
- task:
|
| 2460 |
type: Classification
|
| 2461 |
dataset:
|
|
@@ -2466,11 +2466,11 @@ model-index:
|
|
| 2466 |
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
|
| 2467 |
metrics:
|
| 2468 |
- type: accuracy
|
| 2469 |
-
value:
|
| 2470 |
- type: ap
|
| 2471 |
-
value: 11.
|
| 2472 |
- type: f1
|
| 2473 |
-
value:
|
| 2474 |
- task:
|
| 2475 |
type: Classification
|
| 2476 |
dataset:
|
|
@@ -2481,9 +2481,9 @@ model-index:
|
|
| 2481 |
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
|
| 2482 |
metrics:
|
| 2483 |
- type: accuracy
|
| 2484 |
-
value: 56.
|
| 2485 |
- type: f1
|
| 2486 |
-
value: 56.
|
| 2487 |
- task:
|
| 2488 |
type: Clustering
|
| 2489 |
dataset:
|
|
@@ -2494,7 +2494,7 @@ model-index:
|
|
| 2494 |
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
|
| 2495 |
metrics:
|
| 2496 |
- type: v_measure
|
| 2497 |
-
value:
|
| 2498 |
- task:
|
| 2499 |
type: PairClassification
|
| 2500 |
dataset:
|
|
@@ -2505,51 +2505,51 @@ model-index:
|
|
| 2505 |
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
| 2506 |
metrics:
|
| 2507 |
- type: cos_sim_accuracy
|
| 2508 |
-
value: 84.
|
| 2509 |
- type: cos_sim_ap
|
| 2510 |
-
value: 68.
|
| 2511 |
- type: cos_sim_f1
|
| 2512 |
-
value: 64.
|
| 2513 |
- type: cos_sim_precision
|
| 2514 |
-
value: 61.
|
| 2515 |
- type: cos_sim_recall
|
| 2516 |
-
value: 67.
|
| 2517 |
- type: dot_accuracy
|
| 2518 |
-
value: 77.
|
| 2519 |
- type: dot_ap
|
| 2520 |
-
value: 37.
|
| 2521 |
- type: dot_f1
|
| 2522 |
-
value: 43.
|
| 2523 |
- type: dot_precision
|
| 2524 |
-
value:
|
| 2525 |
- type: dot_recall
|
| 2526 |
-
value:
|
| 2527 |
- type: euclidean_accuracy
|
| 2528 |
-
value: 82.
|
| 2529 |
- type: euclidean_ap
|
| 2530 |
-
value:
|
| 2531 |
- type: euclidean_f1
|
| 2532 |
-
value:
|
| 2533 |
- type: euclidean_precision
|
| 2534 |
-
value:
|
| 2535 |
- type: euclidean_recall
|
| 2536 |
-
value:
|
| 2537 |
- type: manhattan_accuracy
|
| 2538 |
-
value: 82.
|
| 2539 |
- type: manhattan_ap
|
| 2540 |
-
value:
|
| 2541 |
- type: manhattan_f1
|
| 2542 |
-
value:
|
| 2543 |
- type: manhattan_precision
|
| 2544 |
-
value:
|
| 2545 |
- type: manhattan_recall
|
| 2546 |
-
value:
|
| 2547 |
- type: max_accuracy
|
| 2548 |
-
value: 84.
|
| 2549 |
- type: max_ap
|
| 2550 |
-
value: 68.
|
| 2551 |
- type: max_f1
|
| 2552 |
-
value: 64.
|
| 2553 |
- task:
|
| 2554 |
type: PairClassification
|
| 2555 |
dataset:
|
|
@@ -2560,51 +2560,51 @@ model-index:
|
|
| 2560 |
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
| 2561 |
metrics:
|
| 2562 |
- type: cos_sim_accuracy
|
| 2563 |
-
value: 88.
|
| 2564 |
- type: cos_sim_ap
|
| 2565 |
-
value:
|
| 2566 |
- type: cos_sim_f1
|
| 2567 |
-
value:
|
| 2568 |
- type: cos_sim_precision
|
| 2569 |
-
value:
|
| 2570 |
- type: cos_sim_recall
|
| 2571 |
-
value:
|
| 2572 |
- type: dot_accuracy
|
| 2573 |
-
value:
|
| 2574 |
- type: dot_ap
|
| 2575 |
-
value:
|
| 2576 |
- type: dot_f1
|
| 2577 |
-
value:
|
| 2578 |
- type: dot_precision
|
| 2579 |
-
value:
|
| 2580 |
- type: dot_recall
|
| 2581 |
-
value:
|
| 2582 |
- type: euclidean_accuracy
|
| 2583 |
-
value:
|
| 2584 |
- type: euclidean_ap
|
| 2585 |
-
value: 70.
|
| 2586 |
- type: euclidean_f1
|
| 2587 |
-
value: 62.
|
| 2588 |
- type: euclidean_precision
|
| 2589 |
-
value:
|
| 2590 |
- type: euclidean_recall
|
| 2591 |
-
value:
|
| 2592 |
- type: manhattan_accuracy
|
| 2593 |
-
value:
|
| 2594 |
- type: manhattan_ap
|
| 2595 |
-
value: 70.
|
| 2596 |
- type: manhattan_f1
|
| 2597 |
-
value: 62.
|
| 2598 |
- type: manhattan_precision
|
| 2599 |
-
value:
|
| 2600 |
- type: manhattan_recall
|
| 2601 |
-
value:
|
| 2602 |
- type: max_accuracy
|
| 2603 |
-
value: 88.
|
| 2604 |
- type: max_ap
|
| 2605 |
-
value:
|
| 2606 |
- type: max_f1
|
| 2607 |
-
value:
|
| 2608 |
---
|
| 2609 |
---
|
| 2610 |
|
|
@@ -2665,9 +2665,9 @@ We compared the model against `all-minilm-l6-v2`/`all-mpnet-base-v2` from sbert
|
|
| 2665 |
|all-minilm-l6-v2|0.724|0.806|0.756|0.854|0.79 |0.876|0.473 |0.876|0.645 |
|
| 2666 |
|all-mpnet-base-v2|0.726|0.835|**0.78** |0.857|0.8 |**0.906**|0.513 |0.875|0.656 |
|
| 2667 |
|ada-embedding-002|0.698|0.833|0.761|0.861|**0.86** |0.903|**0.685** |0.876|**0.726** |
|
| 2668 |
-
|jina-embedding-t-en-v1|0.
|
| 2669 |
-
|jina-embedding-s-en-v1
|
| 2670 |
-
|jina-embedding-b-en-v1
|
| 2671 |
|jina-embedding-l-en-v1|0.739|**0.844**|0.778|**0.863**|0.821|0.896|0.566 |**0.882**|0.608 |
|
| 2672 |
|
| 2673 |
## Usage
|
|
@@ -2719,11 +2719,11 @@ If you find Jina Embeddings useful in your research, please cite the following p
|
|
| 2719 |
|
| 2720 |
``` latex
|
| 2721 |
@misc{günther2023jina,
|
| 2722 |
-
title={Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models},
|
| 2723 |
author={Michael Günther and Louis Milliken and Jonathan Geuter and Georgios Mastrapas and Bo Wang and Han Xiao},
|
| 2724 |
year={2023},
|
| 2725 |
eprint={2307.11224},
|
| 2726 |
archivePrefix={arXiv},
|
| 2727 |
primaryClass={cs.CL}
|
| 2728 |
}
|
| 2729 |
-
```
|
|
|
|
| 23 |
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
|
| 24 |
metrics:
|
| 25 |
- type: accuracy
|
| 26 |
+
value: 66.73134328358208
|
| 27 |
- type: ap
|
| 28 |
+
value: 28.30575908745204
|
| 29 |
- type: f1
|
| 30 |
+
value: 60.02420130946191
|
| 31 |
- task:
|
| 32 |
type: Classification
|
| 33 |
dataset:
|
|
|
|
| 38 |
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
|
| 39 |
metrics:
|
| 40 |
- type: accuracy
|
| 41 |
+
value: 67.6068
|
| 42 |
- type: ap
|
| 43 |
+
value: 63.5899352938589
|
| 44 |
- type: f1
|
| 45 |
+
value: 65.64285334357656
|
| 46 |
- task:
|
| 47 |
type: Classification
|
| 48 |
dataset:
|
|
|
|
| 53 |
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
|
| 54 |
metrics:
|
| 55 |
- type: accuracy
|
| 56 |
+
value: 31.178
|
| 57 |
- type: f1
|
| 58 |
+
value: 29.68460843733487
|
| 59 |
- task:
|
| 60 |
type: Retrieval
|
| 61 |
dataset:
|
| 62 |
+
type: arguana
|
| 63 |
+
name: MTEB ArguAna
|
| 64 |
config: default
|
| 65 |
split: test
|
| 66 |
revision: None
|
| 67 |
metrics:
|
| 68 |
- type: map_at_1
|
| 69 |
+
value: 24.964
|
| 70 |
- type: map_at_10
|
| 71 |
+
value: 40.217999999999996
|
| 72 |
- type: map_at_100
|
| 73 |
+
value: 41.263
|
| 74 |
- type: map_at_1000
|
| 75 |
+
value: 41.277
|
| 76 |
- type: map_at_3
|
| 77 |
+
value: 35.183
|
| 78 |
- type: map_at_5
|
| 79 |
+
value: 38.045
|
| 80 |
- type: mrr_at_1
|
| 81 |
+
value: 25.107000000000003
|
| 82 |
- type: mrr_at_10
|
| 83 |
+
value: 40.272999999999996
|
| 84 |
- type: mrr_at_100
|
| 85 |
+
value: 41.318
|
| 86 |
- type: mrr_at_1000
|
| 87 |
+
value: 41.333
|
| 88 |
- type: mrr_at_3
|
| 89 |
+
value: 35.242000000000004
|
| 90 |
- type: mrr_at_5
|
| 91 |
+
value: 38.101
|
| 92 |
- type: ndcg_at_1
|
| 93 |
+
value: 24.964
|
| 94 |
- type: ndcg_at_10
|
| 95 |
+
value: 49.006
|
| 96 |
- type: ndcg_at_100
|
| 97 |
+
value: 53.446000000000005
|
| 98 |
- type: ndcg_at_1000
|
| 99 |
+
value: 53.813
|
| 100 |
- type: ndcg_at_3
|
| 101 |
+
value: 38.598
|
| 102 |
- type: ndcg_at_5
|
| 103 |
+
value: 43.74
|
| 104 |
- type: precision_at_1
|
| 105 |
+
value: 24.964
|
| 106 |
- type: precision_at_10
|
| 107 |
+
value: 7.724
|
| 108 |
- type: precision_at_100
|
| 109 |
+
value: 0.966
|
| 110 |
- type: precision_at_1000
|
| 111 |
+
value: 0.099
|
| 112 |
- type: precision_at_3
|
| 113 |
+
value: 16.169
|
| 114 |
- type: precision_at_5
|
| 115 |
+
value: 12.191
|
| 116 |
- type: recall_at_1
|
| 117 |
+
value: 24.964
|
| 118 |
- type: recall_at_10
|
| 119 |
+
value: 77.24
|
| 120 |
- type: recall_at_100
|
| 121 |
+
value: 96.586
|
| 122 |
- type: recall_at_1000
|
| 123 |
+
value: 99.431
|
| 124 |
- type: recall_at_3
|
| 125 |
+
value: 48.506
|
| 126 |
- type: recall_at_5
|
| 127 |
+
value: 60.953
|
| 128 |
+
- task:
|
| 129 |
+
type: Clustering
|
| 130 |
+
dataset:
|
| 131 |
+
type: mteb/arxiv-clustering-p2p
|
| 132 |
+
name: MTEB ArxivClusteringP2P
|
| 133 |
+
config: default
|
| 134 |
+
split: test
|
| 135 |
+
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
|
| 136 |
+
metrics:
|
| 137 |
+
- type: v_measure
|
| 138 |
+
value: 39.25203906042786
|
| 139 |
+
- task:
|
| 140 |
+
type: Clustering
|
| 141 |
+
dataset:
|
| 142 |
+
type: mteb/arxiv-clustering-s2s
|
| 143 |
+
name: MTEB ArxivClusteringS2S
|
| 144 |
+
config: default
|
| 145 |
+
split: test
|
| 146 |
+
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
|
| 147 |
+
metrics:
|
| 148 |
+
- type: v_measure
|
| 149 |
+
value: 29.07648348376354
|
| 150 |
+
- task:
|
| 151 |
+
type: Reranking
|
| 152 |
+
dataset:
|
| 153 |
+
type: mteb/askubuntudupquestions-reranking
|
| 154 |
+
name: MTEB AskUbuntuDupQuestions
|
| 155 |
+
config: default
|
| 156 |
+
split: test
|
| 157 |
+
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
|
| 158 |
+
metrics:
|
| 159 |
+
- type: map
|
| 160 |
+
value: 62.4029266143623
|
| 161 |
+
- type: mrr
|
| 162 |
+
value: 75.45750340764191
|
| 163 |
+
- task:
|
| 164 |
+
type: STS
|
| 165 |
+
dataset:
|
| 166 |
+
type: mteb/biosses-sts
|
| 167 |
+
name: MTEB BIOSSES
|
| 168 |
+
config: default
|
| 169 |
+
split: test
|
| 170 |
+
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
|
| 171 |
+
metrics:
|
| 172 |
+
- type: cos_sim_pearson
|
| 173 |
+
value: 85.92280995704714
|
| 174 |
+
- type: cos_sim_spearman
|
| 175 |
+
value: 83.58082010833608
|
| 176 |
+
- type: euclidean_pearson
|
| 177 |
+
value: 48.64744162695948
|
| 178 |
+
- type: euclidean_spearman
|
| 179 |
+
value: 48.817377397301556
|
| 180 |
+
- type: manhattan_pearson
|
| 181 |
+
value: 48.87684776623195
|
| 182 |
+
- type: manhattan_spearman
|
| 183 |
+
value: 48.94268145725884
|
| 184 |
+
- task:
|
| 185 |
+
type: Classification
|
| 186 |
+
dataset:
|
| 187 |
+
type: mteb/banking77
|
| 188 |
+
name: MTEB Banking77Classification
|
| 189 |
+
config: default
|
| 190 |
+
split: test
|
| 191 |
+
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
|
| 192 |
+
metrics:
|
| 193 |
+
- type: accuracy
|
| 194 |
+
value: 84.05519480519482
|
| 195 |
+
- type: f1
|
| 196 |
+
value: 83.94978356890618
|
| 197 |
+
- task:
|
| 198 |
+
type: Clustering
|
| 199 |
+
dataset:
|
| 200 |
+
type: mteb/biorxiv-clustering-p2p
|
| 201 |
+
name: MTEB BiorxivClusteringP2P
|
| 202 |
+
config: default
|
| 203 |
+
split: test
|
| 204 |
+
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
|
| 205 |
+
metrics:
|
| 206 |
+
- type: v_measure
|
| 207 |
+
value: 32.2033276486685
|
| 208 |
+
- task:
|
| 209 |
+
type: Clustering
|
| 210 |
+
dataset:
|
| 211 |
+
type: mteb/biorxiv-clustering-s2s
|
| 212 |
+
name: MTEB BiorxivClusteringS2S
|
| 213 |
+
config: default
|
| 214 |
+
split: test
|
| 215 |
+
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
|
| 216 |
+
metrics:
|
| 217 |
+
- type: v_measure
|
| 218 |
+
value: 26.631954164406014
|
| 219 |
- task:
|
| 220 |
type: Retrieval
|
| 221 |
dataset:
|
| 222 |
type: BeIR/cqadupstack
|
| 223 |
+
name: MTEB CQADupstackAndroidRetrieval
|
| 224 |
config: default
|
| 225 |
split: test
|
| 226 |
revision: None
|
| 227 |
metrics:
|
| 228 |
- type: map_at_1
|
| 229 |
+
value: 29.625
|
| 230 |
- type: map_at_10
|
| 231 |
+
value: 40.037
|
| 232 |
- type: map_at_100
|
| 233 |
+
value: 41.52
|
| 234 |
- type: map_at_1000
|
| 235 |
+
value: 41.654
|
| 236 |
- type: map_at_3
|
| 237 |
+
value: 36.818
|
| 238 |
- type: map_at_5
|
| 239 |
+
value: 38.426
|
| 240 |
- type: mrr_at_1
|
| 241 |
+
value: 35.336
|
| 242 |
- type: mrr_at_10
|
| 243 |
+
value: 45.395
|
| 244 |
- type: mrr_at_100
|
| 245 |
+
value: 46.221000000000004
|
| 246 |
- type: mrr_at_1000
|
| 247 |
+
value: 46.264
|
| 248 |
- type: mrr_at_3
|
| 249 |
+
value: 42.823
|
| 250 |
- type: mrr_at_5
|
| 251 |
+
value: 44.204
|
| 252 |
- type: ndcg_at_1
|
| 253 |
+
value: 35.336
|
| 254 |
- type: ndcg_at_10
|
| 255 |
+
value: 46.326
|
| 256 |
- type: ndcg_at_100
|
| 257 |
+
value: 51.795
|
| 258 |
- type: ndcg_at_1000
|
| 259 |
+
value: 53.834
|
| 260 |
- type: ndcg_at_3
|
| 261 |
+
value: 41.299
|
| 262 |
- type: ndcg_at_5
|
| 263 |
+
value: 43.247
|
| 264 |
- type: precision_at_1
|
| 265 |
+
value: 35.336
|
| 266 |
- type: precision_at_10
|
| 267 |
+
value: 8.627
|
| 268 |
- type: precision_at_100
|
| 269 |
+
value: 1.428
|
| 270 |
- type: precision_at_1000
|
| 271 |
+
value: 0.197
|
| 272 |
- type: precision_at_3
|
| 273 |
+
value: 19.647000000000002
|
| 274 |
- type: precision_at_5
|
| 275 |
+
value: 13.733999999999998
|
| 276 |
- type: recall_at_1
|
| 277 |
+
value: 29.625
|
| 278 |
- type: recall_at_10
|
| 279 |
+
value: 59.165
|
| 280 |
- type: recall_at_100
|
| 281 |
+
value: 81.675
|
| 282 |
- type: recall_at_1000
|
| 283 |
+
value: 94.17
|
| 284 |
- type: recall_at_3
|
| 285 |
+
value: 44.485
|
| 286 |
- type: recall_at_5
|
| 287 |
+
value: 50.198
|
| 288 |
- task:
|
| 289 |
type: Retrieval
|
| 290 |
dataset:
|
| 291 |
type: BeIR/cqadupstack
|
| 292 |
+
name: MTEB CQADupstackEnglishRetrieval
|
| 293 |
config: default
|
| 294 |
split: test
|
| 295 |
revision: None
|
| 296 |
metrics:
|
| 297 |
- type: map_at_1
|
| 298 |
+
value: 26.687
|
| 299 |
- type: map_at_10
|
| 300 |
+
value: 36.062
|
| 301 |
- type: map_at_100
|
| 302 |
+
value: 37.263000000000005
|
| 303 |
- type: map_at_1000
|
| 304 |
+
value: 37.397999999999996
|
| 305 |
- type: map_at_3
|
| 306 |
+
value: 32.967
|
| 307 |
- type: map_at_5
|
| 308 |
+
value: 34.75
|
| 309 |
- type: mrr_at_1
|
| 310 |
+
value: 33.885
|
| 311 |
- type: mrr_at_10
|
| 312 |
+
value: 42.632999999999996
|
| 313 |
- type: mrr_at_100
|
| 314 |
+
value: 43.305
|
| 315 |
- type: mrr_at_1000
|
| 316 |
+
value: 43.354
|
| 317 |
- type: mrr_at_3
|
| 318 |
+
value: 39.958
|
| 319 |
- type: mrr_at_5
|
| 320 |
+
value: 41.63
|
| 321 |
- type: ndcg_at_1
|
| 322 |
+
value: 33.885
|
| 323 |
- type: ndcg_at_10
|
| 324 |
+
value: 42.001
|
| 325 |
- type: ndcg_at_100
|
| 326 |
+
value: 46.436
|
| 327 |
- type: ndcg_at_1000
|
| 328 |
+
value: 48.774
|
| 329 |
- type: ndcg_at_3
|
| 330 |
+
value: 37.183
|
| 331 |
- type: ndcg_at_5
|
| 332 |
+
value: 39.605000000000004
|
| 333 |
- type: precision_at_1
|
| 334 |
+
value: 33.885
|
| 335 |
- type: precision_at_10
|
| 336 |
+
value: 7.962
|
| 337 |
- type: precision_at_100
|
| 338 |
+
value: 1.283
|
| 339 |
- type: precision_at_1000
|
| 340 |
+
value: 0.18
|
| 341 |
- type: precision_at_3
|
| 342 |
+
value: 17.855999999999998
|
| 343 |
- type: precision_at_5
|
| 344 |
+
value: 13.083
|
| 345 |
- type: recall_at_1
|
| 346 |
+
value: 26.687
|
| 347 |
- type: recall_at_10
|
| 348 |
+
value: 52.75
|
| 349 |
- type: recall_at_100
|
| 350 |
+
value: 71.324
|
| 351 |
- type: recall_at_1000
|
| 352 |
+
value: 86.356
|
| 353 |
- type: recall_at_3
|
| 354 |
+
value: 38.83
|
| 355 |
- type: recall_at_5
|
| 356 |
+
value: 45.23
|
| 357 |
- task:
|
| 358 |
type: Retrieval
|
| 359 |
dataset:
|
| 360 |
type: BeIR/cqadupstack
|
| 361 |
+
name: MTEB CQADupstackGamingRetrieval
|
| 362 |
config: default
|
| 363 |
split: test
|
| 364 |
revision: None
|
| 365 |
metrics:
|
| 366 |
- type: map_at_1
|
| 367 |
+
value: 34.02
|
| 368 |
- type: map_at_10
|
| 369 |
+
value: 45.751999999999995
|
| 370 |
- type: map_at_100
|
| 371 |
+
value: 46.867
|
| 372 |
- type: map_at_1000
|
| 373 |
+
value: 46.93
|
| 374 |
- type: map_at_3
|
| 375 |
+
value: 42.409
|
| 376 |
- type: map_at_5
|
| 377 |
+
value: 44.464999999999996
|
| 378 |
- type: mrr_at_1
|
| 379 |
+
value: 38.307
|
| 380 |
- type: mrr_at_10
|
| 381 |
+
value: 48.718
|
| 382 |
- type: mrr_at_100
|
| 383 |
+
value: 49.509
|
| 384 |
- type: mrr_at_1000
|
| 385 |
+
value: 49.542
|
| 386 |
- type: mrr_at_3
|
| 387 |
+
value: 46.007999999999996
|
| 388 |
- type: mrr_at_5
|
| 389 |
+
value: 47.766999999999996
|
| 390 |
- type: ndcg_at_1
|
| 391 |
+
value: 38.307
|
| 392 |
- type: ndcg_at_10
|
| 393 |
+
value: 51.666999999999994
|
| 394 |
- type: ndcg_at_100
|
| 395 |
+
value: 56.242000000000004
|
| 396 |
- type: ndcg_at_1000
|
| 397 |
+
value: 57.477999999999994
|
| 398 |
- type: ndcg_at_3
|
| 399 |
+
value: 45.912
|
| 400 |
- type: ndcg_at_5
|
| 401 |
+
value: 49.106
|
| 402 |
- type: precision_at_1
|
| 403 |
+
value: 38.307
|
| 404 |
- type: precision_at_10
|
| 405 |
+
value: 8.476
|
| 406 |
- type: precision_at_100
|
| 407 |
+
value: 1.176
|
| 408 |
- type: precision_at_1000
|
| 409 |
+
value: 0.133
|
| 410 |
- type: precision_at_3
|
| 411 |
+
value: 20.522000000000002
|
| 412 |
- type: precision_at_5
|
| 413 |
+
value: 14.557999999999998
|
| 414 |
- type: recall_at_1
|
| 415 |
+
value: 34.02
|
| 416 |
- type: recall_at_10
|
| 417 |
+
value: 66.046
|
| 418 |
- type: recall_at_100
|
| 419 |
+
value: 85.817
|
| 420 |
- type: recall_at_1000
|
| 421 |
+
value: 94.453
|
| 422 |
- type: recall_at_3
|
| 423 |
+
value: 51.059
|
| 424 |
- type: recall_at_5
|
| 425 |
+
value: 58.667
|
| 426 |
- task:
|
| 427 |
type: Retrieval
|
| 428 |
dataset:
|
| 429 |
type: BeIR/cqadupstack
|
| 430 |
+
name: MTEB CQADupstackGisRetrieval
|
| 431 |
config: default
|
| 432 |
split: test
|
| 433 |
revision: None
|
| 434 |
metrics:
|
| 435 |
- type: map_at_1
|
| 436 |
+
value: 23.939
|
| 437 |
- type: map_at_10
|
| 438 |
+
value: 32.627
|
| 439 |
- type: map_at_100
|
| 440 |
+
value: 33.617999999999995
|
| 441 |
- type: map_at_1000
|
| 442 |
+
value: 33.701
|
| 443 |
- type: map_at_3
|
| 444 |
+
value: 30.11
|
| 445 |
- type: map_at_5
|
| 446 |
+
value: 31.380000000000003
|
| 447 |
- type: mrr_at_1
|
| 448 |
+
value: 25.989
|
| 449 |
- type: mrr_at_10
|
| 450 |
+
value: 34.655
|
| 451 |
- type: mrr_at_100
|
| 452 |
+
value: 35.502
|
| 453 |
- type: mrr_at_1000
|
| 454 |
+
value: 35.563
|
| 455 |
- type: mrr_at_3
|
| 456 |
+
value: 32.109
|
| 457 |
- type: mrr_at_5
|
| 458 |
+
value: 33.426
|
| 459 |
- type: ndcg_at_1
|
| 460 |
+
value: 25.989
|
| 461 |
- type: ndcg_at_10
|
| 462 |
+
value: 37.657000000000004
|
| 463 |
- type: ndcg_at_100
|
| 464 |
+
value: 42.467
|
| 465 |
- type: ndcg_at_1000
|
| 466 |
+
value: 44.677
|
| 467 |
- type: ndcg_at_3
|
| 468 |
+
value: 32.543
|
| 469 |
- type: ndcg_at_5
|
| 470 |
+
value: 34.74
|
| 471 |
- type: precision_at_1
|
| 472 |
+
value: 25.989
|
| 473 |
- type: precision_at_10
|
| 474 |
+
value: 5.876
|
| 475 |
- type: precision_at_100
|
| 476 |
+
value: 0.8710000000000001
|
| 477 |
- type: precision_at_1000
|
| 478 |
+
value: 0.11
|
| 479 |
- type: precision_at_3
|
| 480 |
+
value: 13.861
|
| 481 |
- type: precision_at_5
|
| 482 |
+
value: 9.626999999999999
|
| 483 |
- type: recall_at_1
|
| 484 |
+
value: 23.939
|
| 485 |
- type: recall_at_10
|
| 486 |
+
value: 51.28
|
| 487 |
- type: recall_at_100
|
| 488 |
+
value: 73.428
|
| 489 |
- type: recall_at_1000
|
| 490 |
+
value: 90.309
|
| 491 |
- type: recall_at_3
|
| 492 |
+
value: 37.245
|
| 493 |
- type: recall_at_5
|
| 494 |
+
value: 42.541000000000004
|
| 495 |
- task:
|
| 496 |
type: Retrieval
|
| 497 |
dataset:
|
| 498 |
type: BeIR/cqadupstack
|
| 499 |
+
name: MTEB CQADupstackMathematicaRetrieval
|
| 500 |
config: default
|
| 501 |
split: test
|
| 502 |
revision: None
|
| 503 |
metrics:
|
| 504 |
- type: map_at_1
|
| 505 |
+
value: 15.082
|
| 506 |
- type: map_at_10
|
| 507 |
+
value: 22.486
|
| 508 |
- type: map_at_100
|
| 509 |
+
value: 23.687
|
| 510 |
- type: map_at_1000
|
| 511 |
+
value: 23.807000000000002
|
| 512 |
- type: map_at_3
|
| 513 |
+
value: 20.076
|
| 514 |
- type: map_at_5
|
| 515 |
+
value: 21.362000000000002
|
| 516 |
- type: mrr_at_1
|
| 517 |
+
value: 18.532
|
| 518 |
- type: mrr_at_10
|
| 519 |
+
value: 26.605
|
| 520 |
- type: mrr_at_100
|
| 521 |
+
value: 27.628999999999998
|
| 522 |
- type: mrr_at_1000
|
| 523 |
+
value: 27.698
|
| 524 |
- type: mrr_at_3
|
| 525 |
+
value: 23.964
|
| 526 |
- type: mrr_at_5
|
| 527 |
+
value: 25.319000000000003
|
| 528 |
- type: ndcg_at_1
|
| 529 |
+
value: 18.532
|
| 530 |
- type: ndcg_at_10
|
| 531 |
+
value: 27.474999999999998
|
| 532 |
- type: ndcg_at_100
|
| 533 |
+
value: 33.357
|
| 534 |
- type: ndcg_at_1000
|
| 535 |
+
value: 36.361
|
| 536 |
- type: ndcg_at_3
|
| 537 |
+
value: 22.851
|
| 538 |
- type: ndcg_at_5
|
| 539 |
+
value: 24.87
|
| 540 |
- type: precision_at_1
|
| 541 |
+
value: 18.532
|
| 542 |
- type: precision_at_10
|
| 543 |
+
value: 5.210999999999999
|
| 544 |
- type: precision_at_100
|
| 545 |
+
value: 0.9329999999999999
|
| 546 |
- type: precision_at_1000
|
| 547 |
+
value: 0.134
|
| 548 |
- type: precision_at_3
|
| 549 |
+
value: 11.235000000000001
|
| 550 |
- type: precision_at_5
|
| 551 |
+
value: 8.134
|
| 552 |
- type: recall_at_1
|
| 553 |
+
value: 15.082
|
| 554 |
- type: recall_at_10
|
| 555 |
+
value: 38.759
|
| 556 |
- type: recall_at_100
|
| 557 |
+
value: 64.621
|
| 558 |
- type: recall_at_1000
|
| 559 |
+
value: 86.162
|
| 560 |
- type: recall_at_3
|
| 561 |
+
value: 26.055
|
| 562 |
- type: recall_at_5
|
| 563 |
+
value: 31.208999999999996
|
| 564 |
- task:
|
| 565 |
type: Retrieval
|
| 566 |
dataset:
|
| 567 |
type: BeIR/cqadupstack
|
| 568 |
+
name: MTEB CQADupstackPhysicsRetrieval
|
| 569 |
config: default
|
| 570 |
split: test
|
| 571 |
revision: None
|
| 572 |
metrics:
|
| 573 |
- type: map_at_1
|
| 574 |
+
value: 24.759999999999998
|
| 575 |
- type: map_at_10
|
| 576 |
+
value: 33.706
|
| 577 |
- type: map_at_100
|
| 578 |
+
value: 35.0
|
| 579 |
- type: map_at_1000
|
| 580 |
+
value: 35.134
|
| 581 |
- type: map_at_3
|
| 582 |
+
value: 30.789
|
| 583 |
- type: map_at_5
|
| 584 |
+
value: 32.427
|
| 585 |
- type: mrr_at_1
|
| 586 |
+
value: 29.548000000000002
|
| 587 |
- type: mrr_at_10
|
| 588 |
+
value: 38.521
|
| 589 |
- type: mrr_at_100
|
| 590 |
+
value: 39.432
|
| 591 |
- type: mrr_at_1000
|
| 592 |
+
value: 39.494
|
| 593 |
- type: mrr_at_3
|
| 594 |
+
value: 35.691
|
| 595 |
- type: mrr_at_5
|
| 596 |
+
value: 37.424
|
| 597 |
- type: ndcg_at_1
|
| 598 |
+
value: 29.548000000000002
|
| 599 |
- type: ndcg_at_10
|
| 600 |
+
value: 39.301
|
| 601 |
- type: ndcg_at_100
|
| 602 |
+
value: 44.907000000000004
|
| 603 |
- type: ndcg_at_1000
|
| 604 |
+
value: 47.494
|
| 605 |
- type: ndcg_at_3
|
| 606 |
+
value: 34.08
|
| 607 |
- type: ndcg_at_5
|
| 608 |
+
value: 36.649
|
| 609 |
- type: precision_at_1
|
| 610 |
+
value: 29.548000000000002
|
| 611 |
- type: precision_at_10
|
| 612 |
+
value: 7.084
|
| 613 |
- type: precision_at_100
|
| 614 |
+
value: 1.169
|
| 615 |
- type: precision_at_1000
|
| 616 |
+
value: 0.158
|
| 617 |
- type: precision_at_3
|
| 618 |
+
value: 15.881
|
| 619 |
- type: precision_at_5
|
| 620 |
+
value: 11.53
|
| 621 |
- type: recall_at_1
|
| 622 |
+
value: 24.759999999999998
|
| 623 |
- type: recall_at_10
|
| 624 |
+
value: 51.202000000000005
|
| 625 |
- type: recall_at_100
|
| 626 |
+
value: 74.542
|
| 627 |
- type: recall_at_1000
|
| 628 |
+
value: 91.669
|
| 629 |
- type: recall_at_3
|
| 630 |
+
value: 36.892
|
| 631 |
- type: recall_at_5
|
| 632 |
+
value: 43.333
|
| 633 |
- task:
|
| 634 |
type: Retrieval
|
| 635 |
dataset:
|
| 636 |
type: BeIR/cqadupstack
|
| 637 |
+
name: MTEB CQADupstackProgrammersRetrieval
|
| 638 |
config: default
|
| 639 |
split: test
|
| 640 |
revision: None
|
| 641 |
metrics:
|
| 642 |
- type: map_at_1
|
| 643 |
+
value: 23.247999999999998
|
| 644 |
- type: map_at_10
|
| 645 |
+
value: 31.878
|
| 646 |
- type: map_at_100
|
| 647 |
+
value: 33.135
|
| 648 |
- type: map_at_1000
|
| 649 |
+
value: 33.263999999999996
|
| 650 |
- type: map_at_3
|
| 651 |
+
value: 29.406
|
| 652 |
- type: map_at_5
|
| 653 |
+
value: 30.602
|
| 654 |
- type: mrr_at_1
|
| 655 |
+
value: 28.767
|
| 656 |
- type: mrr_at_10
|
| 657 |
+
value: 36.929
|
| 658 |
- type: mrr_at_100
|
| 659 |
+
value: 37.844
|
| 660 |
- type: mrr_at_1000
|
| 661 |
+
value: 37.913000000000004
|
| 662 |
- type: mrr_at_3
|
| 663 |
+
value: 34.589
|
| 664 |
- type: mrr_at_5
|
| 665 |
+
value: 35.908
|
| 666 |
- type: ndcg_at_1
|
| 667 |
+
value: 28.767
|
| 668 |
- type: ndcg_at_10
|
| 669 |
+
value: 37.172
|
| 670 |
- type: ndcg_at_100
|
| 671 |
+
value: 42.842
|
| 672 |
- type: ndcg_at_1000
|
| 673 |
+
value: 45.534
|
| 674 |
- type: ndcg_at_3
|
| 675 |
+
value: 32.981
|
| 676 |
- type: ndcg_at_5
|
| 677 |
+
value: 34.628
|
| 678 |
- type: precision_at_1
|
| 679 |
+
value: 28.767
|
| 680 |
- type: precision_at_10
|
| 681 |
+
value: 6.678000000000001
|
| 682 |
- type: precision_at_100
|
| 683 |
+
value: 1.1199999999999999
|
| 684 |
- type: precision_at_1000
|
| 685 |
+
value: 0.155
|
| 686 |
- type: precision_at_3
|
| 687 |
+
value: 15.715000000000002
|
| 688 |
- type: precision_at_5
|
| 689 |
+
value: 10.913
|
| 690 |
- type: recall_at_1
|
| 691 |
+
value: 23.247999999999998
|
| 692 |
- type: recall_at_10
|
| 693 |
+
value: 48.16
|
| 694 |
- type: recall_at_100
|
| 695 |
+
value: 72.753
|
| 696 |
- type: recall_at_1000
|
| 697 |
+
value: 90.8
|
| 698 |
- type: recall_at_3
|
| 699 |
+
value: 35.961999999999996
|
| 700 |
- type: recall_at_5
|
| 701 |
+
value: 40.504
|
| 702 |
- task:
|
| 703 |
type: Retrieval
|
| 704 |
dataset:
|
| 705 |
type: BeIR/cqadupstack
|
| 706 |
+
name: MTEB CQADupstackRetrieval
|
| 707 |
config: default
|
| 708 |
split: test
|
| 709 |
revision: None
|
| 710 |
metrics:
|
| 711 |
- type: map_at_1
|
| 712 |
+
value: 23.825583333333334
|
| 713 |
- type: map_at_10
|
| 714 |
+
value: 32.2845
|
| 715 |
- type: map_at_100
|
| 716 |
+
value: 33.48566666666667
|
| 717 |
- type: map_at_1000
|
| 718 |
+
value: 33.60833333333333
|
| 719 |
- type: map_at_3
|
| 720 |
+
value: 29.604916666666664
|
| 721 |
- type: map_at_5
|
| 722 |
+
value: 31.015333333333334
|
| 723 |
- type: mrr_at_1
|
| 724 |
+
value: 27.850916666666663
|
| 725 |
- type: mrr_at_10
|
| 726 |
+
value: 36.122416666666666
|
| 727 |
- type: mrr_at_100
|
| 728 |
+
value: 37.01275
|
| 729 |
- type: mrr_at_1000
|
| 730 |
+
value: 37.07566666666667
|
| 731 |
- type: mrr_at_3
|
| 732 |
+
value: 33.665749999999996
|
| 733 |
- type: mrr_at_5
|
| 734 |
+
value: 35.00916666666667
|
| 735 |
- type: ndcg_at_1
|
| 736 |
+
value: 27.850916666666663
|
| 737 |
- type: ndcg_at_10
|
| 738 |
+
value: 37.47625
|
| 739 |
- type: ndcg_at_100
|
| 740 |
+
value: 42.74433333333334
|
| 741 |
- type: ndcg_at_1000
|
| 742 |
+
value: 45.21991666666667
|
| 743 |
- type: ndcg_at_3
|
| 744 |
+
value: 32.70916666666667
|
| 745 |
- type: ndcg_at_5
|
| 746 |
+
value: 34.80658333333333
|
| 747 |
- type: precision_at_1
|
| 748 |
+
value: 27.850916666666663
|
| 749 |
- type: precision_at_10
|
| 750 |
+
value: 6.5761666666666665
|
| 751 |
- type: precision_at_100
|
| 752 |
+
value: 1.0879999999999999
|
| 753 |
- type: precision_at_1000
|
| 754 |
+
value: 0.15058333333333332
|
| 755 |
- type: precision_at_3
|
| 756 |
+
value: 14.933833333333336
|
| 757 |
- type: precision_at_5
|
| 758 |
+
value: 10.607249999999999
|
| 759 |
- type: recall_at_1
|
| 760 |
+
value: 23.825583333333334
|
| 761 |
- type: recall_at_10
|
| 762 |
+
value: 49.100500000000004
|
| 763 |
- type: recall_at_100
|
| 764 |
+
value: 72.21133333333334
|
| 765 |
- type: recall_at_1000
|
| 766 |
+
value: 89.34791666666666
|
| 767 |
- type: recall_at_3
|
| 768 |
+
value: 35.90525
|
| 769 |
- type: recall_at_5
|
| 770 |
+
value: 41.24583333333334
|
| 771 |
- task:
|
| 772 |
type: Retrieval
|
| 773 |
dataset:
|
| 774 |
type: BeIR/cqadupstack
|
| 775 |
+
name: MTEB CQADupstackStatsRetrieval
|
| 776 |
config: default
|
| 777 |
split: test
|
| 778 |
revision: None
|
| 779 |
metrics:
|
| 780 |
- type: map_at_1
|
| 781 |
+
value: 21.343
|
| 782 |
- type: map_at_10
|
| 783 |
+
value: 27.313
|
| 784 |
- type: map_at_100
|
| 785 |
+
value: 28.316999999999997
|
| 786 |
- type: map_at_1000
|
| 787 |
+
value: 28.406
|
| 788 |
- type: map_at_3
|
| 789 |
+
value: 25.06
|
| 790 |
- type: map_at_5
|
| 791 |
+
value: 26.409
|
| 792 |
- type: mrr_at_1
|
| 793 |
+
value: 23.313
|
| 794 |
- type: mrr_at_10
|
| 795 |
+
value: 29.467
|
| 796 |
- type: mrr_at_100
|
| 797 |
+
value: 30.348999999999997
|
| 798 |
- type: mrr_at_1000
|
| 799 |
+
value: 30.42
|
| 800 |
- type: mrr_at_3
|
| 801 |
+
value: 27.173000000000002
|
| 802 |
- type: mrr_at_5
|
| 803 |
+
value: 28.461
|
| 804 |
- type: ndcg_at_1
|
| 805 |
+
value: 23.313
|
| 806 |
- type: ndcg_at_10
|
| 807 |
+
value: 31.183
|
| 808 |
- type: ndcg_at_100
|
| 809 |
+
value: 36.252
|
| 810 |
- type: ndcg_at_1000
|
| 811 |
+
value: 38.582
|
| 812 |
- type: ndcg_at_3
|
| 813 |
+
value: 26.838
|
| 814 |
- type: ndcg_at_5
|
| 815 |
+
value: 29.042
|
| 816 |
- type: precision_at_1
|
| 817 |
+
value: 23.313
|
| 818 |
- type: precision_at_10
|
| 819 |
+
value: 4.9079999999999995
|
| 820 |
- type: precision_at_100
|
| 821 |
+
value: 0.808
|
| 822 |
- type: precision_at_1000
|
| 823 |
+
value: 0.109
|
| 824 |
- type: precision_at_3
|
| 825 |
+
value: 11.299
|
| 826 |
- type: precision_at_5
|
| 827 |
+
value: 8.097999999999999
|
| 828 |
- type: recall_at_1
|
| 829 |
+
value: 21.343
|
| 830 |
- type: recall_at_10
|
| 831 |
+
value: 41.047
|
| 832 |
- type: recall_at_100
|
| 833 |
+
value: 64.372
|
| 834 |
- type: recall_at_1000
|
| 835 |
+
value: 81.499
|
| 836 |
- type: recall_at_3
|
| 837 |
+
value: 29.337000000000003
|
| 838 |
- type: recall_at_5
|
| 839 |
+
value: 34.756
|
| 840 |
- task:
|
| 841 |
type: Retrieval
|
| 842 |
dataset:
|
| 843 |
type: BeIR/cqadupstack
|
| 844 |
+
name: MTEB CQADupstackTexRetrieval
|
| 845 |
config: default
|
| 846 |
split: test
|
| 847 |
revision: None
|
| 848 |
metrics:
|
| 849 |
- type: map_at_1
|
| 850 |
+
value: 16.595
|
| 851 |
- type: map_at_10
|
| 852 |
+
value: 23.433
|
| 853 |
- type: map_at_100
|
| 854 |
+
value: 24.578
|
| 855 |
- type: map_at_1000
|
| 856 |
+
value: 24.709999999999997
|
| 857 |
- type: map_at_3
|
| 858 |
+
value: 21.268
|
| 859 |
- type: map_at_5
|
| 860 |
+
value: 22.393
|
| 861 |
- type: mrr_at_1
|
| 862 |
+
value: 20.131
|
| 863 |
- type: mrr_at_10
|
| 864 |
+
value: 27.026
|
| 865 |
- type: mrr_at_100
|
| 866 |
+
value: 28.003
|
| 867 |
- type: mrr_at_1000
|
| 868 |
+
value: 28.083999999999996
|
| 869 |
- type: mrr_at_3
|
| 870 |
+
value: 24.966
|
| 871 |
- type: mrr_at_5
|
| 872 |
+
value: 26.064999999999998
|
| 873 |
- type: ndcg_at_1
|
| 874 |
+
value: 20.131
|
| 875 |
- type: ndcg_at_10
|
| 876 |
+
value: 27.846
|
| 877 |
- type: ndcg_at_100
|
| 878 |
+
value: 33.318999999999996
|
| 879 |
- type: ndcg_at_1000
|
| 880 |
+
value: 36.403
|
| 881 |
- type: ndcg_at_3
|
| 882 |
+
value: 23.883
|
| 883 |
- type: ndcg_at_5
|
| 884 |
+
value: 25.595000000000002
|
| 885 |
- type: precision_at_1
|
| 886 |
+
value: 20.131
|
| 887 |
- type: precision_at_10
|
| 888 |
+
value: 5.034000000000001
|
| 889 |
- type: precision_at_100
|
| 890 |
+
value: 0.9079999999999999
|
| 891 |
- type: precision_at_1000
|
| 892 |
+
value: 0.13699999999999998
|
| 893 |
- type: precision_at_3
|
| 894 |
+
value: 11.23
|
| 895 |
- type: precision_at_5
|
| 896 |
+
value: 8.032
|
| 897 |
- type: recall_at_1
|
| 898 |
+
value: 16.595
|
| 899 |
- type: recall_at_10
|
| 900 |
+
value: 37.576
|
| 901 |
- type: recall_at_100
|
| 902 |
+
value: 62.044
|
| 903 |
- type: recall_at_1000
|
| 904 |
+
value: 83.97
|
| 905 |
- type: recall_at_3
|
| 906 |
+
value: 26.631
|
| 907 |
- type: recall_at_5
|
| 908 |
+
value: 31.002000000000002
|
| 909 |
- task:
|
| 910 |
type: Retrieval
|
| 911 |
dataset:
|
| 912 |
type: BeIR/cqadupstack
|
| 913 |
+
name: MTEB CQADupstackUnixRetrieval
|
| 914 |
config: default
|
| 915 |
split: test
|
| 916 |
revision: None
|
| 917 |
metrics:
|
| 918 |
- type: map_at_1
|
| 919 |
+
value: 24.85
|
| 920 |
- type: map_at_10
|
| 921 |
+
value: 32.762
|
| 922 |
- type: map_at_100
|
| 923 |
+
value: 33.896
|
| 924 |
- type: map_at_1000
|
| 925 |
+
value: 34.006
|
| 926 |
- type: map_at_3
|
| 927 |
+
value: 29.965000000000003
|
| 928 |
- type: map_at_5
|
| 929 |
+
value: 31.485999999999997
|
| 930 |
- type: mrr_at_1
|
| 931 |
+
value: 28.731
|
| 932 |
- type: mrr_at_10
|
| 933 |
+
value: 36.504999999999995
|
| 934 |
- type: mrr_at_100
|
| 935 |
+
value: 37.364999999999995
|
| 936 |
- type: mrr_at_1000
|
| 937 |
+
value: 37.431
|
| 938 |
- type: mrr_at_3
|
| 939 |
+
value: 34.033
|
| 940 |
- type: mrr_at_5
|
| 941 |
+
value: 35.4
|
| 942 |
- type: ndcg_at_1
|
| 943 |
+
value: 28.731
|
| 944 |
- type: ndcg_at_10
|
| 945 |
+
value: 37.788
|
| 946 |
- type: ndcg_at_100
|
| 947 |
+
value: 43.1
|
| 948 |
- type: ndcg_at_1000
|
| 949 |
+
value: 45.623999999999995
|
| 950 |
- type: ndcg_at_3
|
| 951 |
+
value: 32.717
|
| 952 |
- type: ndcg_at_5
|
| 953 |
+
value: 35.024
|
| 954 |
- type: precision_at_1
|
| 955 |
+
value: 28.731
|
| 956 |
- type: precision_at_10
|
| 957 |
+
value: 6.371
|
| 958 |
- type: precision_at_100
|
| 959 |
+
value: 1.02
|
| 960 |
- type: precision_at_1000
|
| 961 |
+
value: 0.135
|
| 962 |
- type: precision_at_3
|
| 963 |
+
value: 14.521
|
| 964 |
- type: precision_at_5
|
| 965 |
+
value: 10.41
|
| 966 |
- type: recall_at_1
|
| 967 |
+
value: 24.85
|
| 968 |
- type: recall_at_10
|
| 969 |
+
value: 49.335
|
| 970 |
- type: recall_at_100
|
| 971 |
+
value: 72.792
|
| 972 |
- type: recall_at_1000
|
| 973 |
+
value: 90.525
|
| 974 |
- type: recall_at_3
|
| 975 |
+
value: 35.698
|
| 976 |
- type: recall_at_5
|
| 977 |
+
value: 41.385
|
| 978 |
- task:
|
| 979 |
type: Retrieval
|
| 980 |
dataset:
|
| 981 |
type: BeIR/cqadupstack
|
| 982 |
+
name: MTEB CQADupstackWebmastersRetrieval
|
| 983 |
config: default
|
| 984 |
split: test
|
| 985 |
revision: None
|
| 986 |
metrics:
|
| 987 |
- type: map_at_1
|
| 988 |
+
value: 23.016000000000002
|
| 989 |
- type: map_at_10
|
| 990 |
+
value: 32.126
|
| 991 |
- type: map_at_100
|
| 992 |
+
value: 33.786
|
| 993 |
- type: map_at_1000
|
| 994 |
+
value: 34.012
|
| 995 |
- type: map_at_3
|
| 996 |
+
value: 29.256
|
| 997 |
- type: map_at_5
|
| 998 |
+
value: 30.552
|
| 999 |
- type: mrr_at_1
|
| 1000 |
+
value: 27.272999999999996
|
| 1001 |
- type: mrr_at_10
|
| 1002 |
+
value: 35.967
|
| 1003 |
- type: mrr_at_100
|
| 1004 |
+
value: 37.082
|
| 1005 |
- type: mrr_at_1000
|
| 1006 |
+
value: 37.146
|
| 1007 |
- type: mrr_at_3
|
| 1008 |
+
value: 33.531
|
| 1009 |
- type: mrr_at_5
|
| 1010 |
+
value: 34.697
|
| 1011 |
- type: ndcg_at_1
|
| 1012 |
+
value: 27.272999999999996
|
| 1013 |
- type: ndcg_at_10
|
| 1014 |
+
value: 37.945
|
| 1015 |
- type: ndcg_at_100
|
| 1016 |
+
value: 43.928
|
| 1017 |
- type: ndcg_at_1000
|
| 1018 |
+
value: 46.772999999999996
|
| 1019 |
- type: ndcg_at_3
|
| 1020 |
+
value: 33.111000000000004
|
| 1021 |
- type: ndcg_at_5
|
| 1022 |
+
value: 34.794000000000004
|
| 1023 |
- type: precision_at_1
|
| 1024 |
+
value: 27.272999999999996
|
| 1025 |
- type: precision_at_10
|
| 1026 |
+
value: 7.53
|
| 1027 |
- type: precision_at_100
|
| 1028 |
+
value: 1.512
|
| 1029 |
- type: precision_at_1000
|
| 1030 |
+
value: 0.241
|
| 1031 |
- type: precision_at_3
|
| 1032 |
+
value: 15.547
|
| 1033 |
- type: precision_at_5
|
| 1034 |
+
value: 11.146
|
| 1035 |
- type: recall_at_1
|
| 1036 |
+
value: 23.016000000000002
|
| 1037 |
- type: recall_at_10
|
| 1038 |
+
value: 49.576
|
| 1039 |
- type: recall_at_100
|
| 1040 |
+
value: 75.74600000000001
|
| 1041 |
- type: recall_at_1000
|
| 1042 |
+
value: 94.069
|
| 1043 |
- type: recall_at_3
|
| 1044 |
+
value: 35.964
|
| 1045 |
- type: recall_at_5
|
| 1046 |
+
value: 40.455999999999996
|
| 1047 |
- task:
|
| 1048 |
type: Retrieval
|
| 1049 |
dataset:
|
| 1050 |
+
type: BeIR/cqadupstack
|
| 1051 |
+
name: MTEB CQADupstackWordpressRetrieval
|
| 1052 |
config: default
|
| 1053 |
split: test
|
| 1054 |
revision: None
|
| 1055 |
metrics:
|
| 1056 |
- type: map_at_1
|
| 1057 |
+
value: 22.742
|
| 1058 |
- type: map_at_10
|
| 1059 |
+
value: 29.232000000000003
|
| 1060 |
- type: map_at_100
|
| 1061 |
+
value: 30.160999999999998
|
| 1062 |
- type: map_at_1000
|
| 1063 |
+
value: 30.278
|
| 1064 |
- type: map_at_3
|
| 1065 |
+
value: 27.134999999999998
|
| 1066 |
- type: map_at_5
|
| 1067 |
+
value: 27.932000000000002
|
| 1068 |
- type: mrr_at_1
|
| 1069 |
+
value: 24.399
|
| 1070 |
- type: mrr_at_10
|
| 1071 |
+
value: 31.048
|
| 1072 |
- type: mrr_at_100
|
| 1073 |
+
value: 31.912000000000003
|
| 1074 |
- type: mrr_at_1000
|
| 1075 |
+
value: 31.999
|
| 1076 |
- type: mrr_at_3
|
| 1077 |
+
value: 29.144
|
| 1078 |
- type: mrr_at_5
|
| 1079 |
+
value: 29.809
|
| 1080 |
- type: ndcg_at_1
|
| 1081 |
+
value: 24.399
|
| 1082 |
- type: ndcg_at_10
|
| 1083 |
+
value: 33.354
|
| 1084 |
- type: ndcg_at_100
|
| 1085 |
+
value: 38.287
|
| 1086 |
- type: ndcg_at_1000
|
| 1087 |
+
value: 41.105000000000004
|
| 1088 |
- type: ndcg_at_3
|
| 1089 |
+
value: 29.112
|
| 1090 |
- type: ndcg_at_5
|
| 1091 |
+
value: 30.379
|
| 1092 |
- type: precision_at_1
|
| 1093 |
+
value: 24.399
|
| 1094 |
- type: precision_at_10
|
| 1095 |
+
value: 5.157
|
| 1096 |
- type: precision_at_100
|
| 1097 |
+
value: 0.828
|
| 1098 |
- type: precision_at_1000
|
| 1099 |
+
value: 0.11800000000000001
|
| 1100 |
- type: precision_at_3
|
| 1101 |
+
value: 11.892
|
| 1102 |
- type: precision_at_5
|
| 1103 |
+
value: 8.022
|
| 1104 |
- type: recall_at_1
|
| 1105 |
+
value: 22.742
|
| 1106 |
- type: recall_at_10
|
| 1107 |
+
value: 44.31
|
| 1108 |
- type: recall_at_100
|
| 1109 |
+
value: 67.422
|
| 1110 |
- type: recall_at_1000
|
| 1111 |
+
value: 88.193
|
| 1112 |
- type: recall_at_3
|
| 1113 |
+
value: 32.705
|
| 1114 |
- type: recall_at_5
|
| 1115 |
+
value: 35.669000000000004
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
| 1116 |
- task:
|
| 1117 |
type: Retrieval
|
| 1118 |
dataset:
|
|
|
|
| 1123 |
revision: None
|
| 1124 |
metrics:
|
| 1125 |
- type: map_at_1
|
| 1126 |
+
value: 9.067
|
| 1127 |
- type: map_at_10
|
| 1128 |
+
value: 14.821000000000002
|
| 1129 |
- type: map_at_100
|
| 1130 |
+
value: 16.195
|
| 1131 |
- type: map_at_1000
|
| 1132 |
+
value: 16.359
|
| 1133 |
- type: map_at_3
|
| 1134 |
+
value: 12.666
|
| 1135 |
- type: map_at_5
|
| 1136 |
+
value: 13.675999999999998
|
| 1137 |
- type: mrr_at_1
|
| 1138 |
+
value: 20.326
|
| 1139 |
- type: mrr_at_10
|
| 1140 |
+
value: 29.798000000000002
|
| 1141 |
- type: mrr_at_100
|
| 1142 |
+
value: 30.875000000000004
|
| 1143 |
- type: mrr_at_1000
|
| 1144 |
+
value: 30.928
|
| 1145 |
- type: mrr_at_3
|
| 1146 |
+
value: 26.678
|
| 1147 |
- type: mrr_at_5
|
| 1148 |
+
value: 28.433000000000003
|
| 1149 |
- type: ndcg_at_1
|
| 1150 |
+
value: 20.326
|
| 1151 |
- type: ndcg_at_10
|
| 1152 |
+
value: 21.477
|
| 1153 |
- type: ndcg_at_100
|
| 1154 |
+
value: 27.637
|
| 1155 |
- type: ndcg_at_1000
|
| 1156 |
+
value: 30.953000000000003
|
| 1157 |
- type: ndcg_at_3
|
| 1158 |
+
value: 17.456
|
| 1159 |
- type: ndcg_at_5
|
| 1160 |
+
value: 18.789
|
| 1161 |
- type: precision_at_1
|
| 1162 |
+
value: 20.326
|
| 1163 |
- type: precision_at_10
|
| 1164 |
+
value: 6.482
|
| 1165 |
- type: precision_at_100
|
| 1166 |
+
value: 1.302
|
| 1167 |
- type: precision_at_1000
|
| 1168 |
+
value: 0.191
|
| 1169 |
- type: precision_at_3
|
| 1170 |
+
value: 12.53
|
| 1171 |
- type: precision_at_5
|
| 1172 |
+
value: 9.603
|
| 1173 |
- type: recall_at_1
|
| 1174 |
+
value: 9.067
|
| 1175 |
- type: recall_at_10
|
| 1176 |
+
value: 26.246000000000002
|
| 1177 |
- type: recall_at_100
|
| 1178 |
+
value: 47.837
|
| 1179 |
- type: recall_at_1000
|
| 1180 |
+
value: 66.637
|
| 1181 |
- type: recall_at_3
|
| 1182 |
+
value: 16.468
|
| 1183 |
- type: recall_at_5
|
| 1184 |
+
value: 20.088
|
| 1185 |
- task:
|
| 1186 |
type: Retrieval
|
| 1187 |
dataset:
|
|
|
|
| 1192 |
revision: None
|
| 1193 |
metrics:
|
| 1194 |
- type: map_at_1
|
| 1195 |
+
value: 7.563000000000001
|
| 1196 |
- type: map_at_10
|
| 1197 |
+
value: 15.22
|
| 1198 |
- type: map_at_100
|
| 1199 |
+
value: 20.048
|
| 1200 |
- type: map_at_1000
|
| 1201 |
+
value: 21.17
|
| 1202 |
- type: map_at_3
|
| 1203 |
+
value: 11.627
|
| 1204 |
- type: map_at_5
|
| 1205 |
+
value: 13.239
|
| 1206 |
- type: mrr_at_1
|
| 1207 |
+
value: 56.25
|
| 1208 |
- type: mrr_at_10
|
| 1209 |
+
value: 64.846
|
| 1210 |
- type: mrr_at_100
|
| 1211 |
+
value: 65.405
|
| 1212 |
- type: mrr_at_1000
|
| 1213 |
+
value: 65.41799999999999
|
| 1214 |
- type: mrr_at_3
|
| 1215 |
+
value: 63.125
|
| 1216 |
- type: mrr_at_5
|
| 1217 |
+
value: 64.1
|
| 1218 |
- type: ndcg_at_1
|
| 1219 |
+
value: 45.0
|
| 1220 |
- type: ndcg_at_10
|
| 1221 |
+
value: 32.437
|
| 1222 |
- type: ndcg_at_100
|
| 1223 |
+
value: 35.483
|
| 1224 |
- type: ndcg_at_1000
|
| 1225 |
+
value: 42.186
|
| 1226 |
- type: ndcg_at_3
|
| 1227 |
+
value: 37.297000000000004
|
| 1228 |
- type: ndcg_at_5
|
| 1229 |
+
value: 34.697
|
| 1230 |
- type: precision_at_1
|
| 1231 |
+
value: 56.25
|
| 1232 |
- type: precision_at_10
|
| 1233 |
+
value: 25.15
|
| 1234 |
- type: precision_at_100
|
| 1235 |
+
value: 7.539999999999999
|
| 1236 |
- type: precision_at_1000
|
| 1237 |
+
value: 1.678
|
| 1238 |
- type: precision_at_3
|
| 1239 |
+
value: 40.666999999999994
|
| 1240 |
- type: precision_at_5
|
| 1241 |
+
value: 33.45
|
| 1242 |
- type: recall_at_1
|
| 1243 |
+
value: 7.563000000000001
|
| 1244 |
- type: recall_at_10
|
| 1245 |
+
value: 19.969
|
| 1246 |
- type: recall_at_100
|
| 1247 |
+
value: 40.113
|
| 1248 |
- type: recall_at_1000
|
| 1249 |
+
value: 61.72299999999999
|
| 1250 |
- type: recall_at_3
|
| 1251 |
+
value: 12.950999999999999
|
| 1252 |
- type: recall_at_5
|
| 1253 |
+
value: 15.690999999999999
|
| 1254 |
- task:
|
| 1255 |
type: Classification
|
| 1256 |
dataset:
|
|
|
|
| 1261 |
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
|
| 1262 |
metrics:
|
| 1263 |
- type: accuracy
|
| 1264 |
+
value: 44.675000000000004
|
| 1265 |
- type: f1
|
| 1266 |
+
value: 40.779372586075105
|
| 1267 |
- task:
|
| 1268 |
type: Retrieval
|
| 1269 |
dataset:
|
|
|
|
| 1274 |
revision: None
|
| 1275 |
metrics:
|
| 1276 |
- type: map_at_1
|
| 1277 |
+
value: 57.406
|
| 1278 |
- type: map_at_10
|
| 1279 |
+
value: 67.69500000000001
|
| 1280 |
- type: map_at_100
|
| 1281 |
+
value: 68.08
|
| 1282 |
- type: map_at_1000
|
| 1283 |
+
value: 68.095
|
| 1284 |
- type: map_at_3
|
| 1285 |
+
value: 65.688
|
| 1286 |
- type: map_at_5
|
| 1287 |
+
value: 66.93
|
| 1288 |
- type: mrr_at_1
|
| 1289 |
+
value: 61.941
|
| 1290 |
- type: mrr_at_10
|
| 1291 |
+
value: 72.513
|
| 1292 |
- type: mrr_at_100
|
| 1293 |
+
value: 72.83699999999999
|
| 1294 |
- type: mrr_at_1000
|
| 1295 |
+
value: 72.844
|
| 1296 |
- type: mrr_at_3
|
| 1297 |
+
value: 70.60499999999999
|
| 1298 |
- type: mrr_at_5
|
| 1299 |
+
value: 71.807
|
| 1300 |
- type: ndcg_at_1
|
| 1301 |
+
value: 61.941
|
| 1302 |
- type: ndcg_at_10
|
| 1303 |
+
value: 73.29
|
| 1304 |
- type: ndcg_at_100
|
| 1305 |
+
value: 74.96300000000001
|
| 1306 |
- type: ndcg_at_1000
|
| 1307 |
+
value: 75.28200000000001
|
| 1308 |
- type: ndcg_at_3
|
| 1309 |
+
value: 69.491
|
| 1310 |
- type: ndcg_at_5
|
| 1311 |
+
value: 71.573
|
| 1312 |
- type: precision_at_1
|
| 1313 |
+
value: 61.941
|
| 1314 |
- type: precision_at_10
|
| 1315 |
+
value: 9.388
|
| 1316 |
- type: precision_at_100
|
| 1317 |
+
value: 1.0290000000000001
|
| 1318 |
- type: precision_at_1000
|
| 1319 |
value: 0.107
|
| 1320 |
- type: precision_at_3
|
| 1321 |
+
value: 27.423
|
| 1322 |
- type: precision_at_5
|
| 1323 |
+
value: 17.627000000000002
|
| 1324 |
- type: recall_at_1
|
| 1325 |
+
value: 57.406
|
| 1326 |
- type: recall_at_10
|
| 1327 |
+
value: 85.975
|
| 1328 |
- type: recall_at_100
|
| 1329 |
+
value: 93.29899999999999
|
| 1330 |
- type: recall_at_1000
|
| 1331 |
+
value: 95.531
|
| 1332 |
- type: recall_at_3
|
| 1333 |
+
value: 75.624
|
| 1334 |
- type: recall_at_5
|
| 1335 |
+
value: 80.78999999999999
|
| 1336 |
- task:
|
| 1337 |
type: Retrieval
|
| 1338 |
dataset:
|
|
|
|
| 1343 |
revision: None
|
| 1344 |
metrics:
|
| 1345 |
- type: map_at_1
|
| 1346 |
+
value: 16.314999999999998
|
| 1347 |
- type: map_at_10
|
| 1348 |
+
value: 26.678
|
| 1349 |
- type: map_at_100
|
| 1350 |
+
value: 28.322000000000003
|
| 1351 |
- type: map_at_1000
|
| 1352 |
+
value: 28.519
|
| 1353 |
- type: map_at_3
|
| 1354 |
+
value: 23.105
|
| 1355 |
- type: map_at_5
|
| 1356 |
+
value: 24.808
|
| 1357 |
- type: mrr_at_1
|
| 1358 |
+
value: 33.333
|
| 1359 |
- type: mrr_at_10
|
| 1360 |
+
value: 41.453
|
| 1361 |
- type: mrr_at_100
|
| 1362 |
+
value: 42.339
|
| 1363 |
- type: mrr_at_1000
|
| 1364 |
+
value: 42.39
|
| 1365 |
- type: mrr_at_3
|
| 1366 |
+
value: 38.863
|
| 1367 |
- type: mrr_at_5
|
| 1368 |
+
value: 40.159
|
| 1369 |
- type: ndcg_at_1
|
| 1370 |
+
value: 33.333
|
| 1371 |
- type: ndcg_at_10
|
| 1372 |
+
value: 34.062
|
| 1373 |
- type: ndcg_at_100
|
| 1374 |
+
value: 40.595
|
| 1375 |
- type: ndcg_at_1000
|
| 1376 |
+
value: 44.124
|
| 1377 |
- type: ndcg_at_3
|
| 1378 |
+
value: 30.689
|
| 1379 |
- type: ndcg_at_5
|
| 1380 |
+
value: 31.255
|
| 1381 |
- type: precision_at_1
|
| 1382 |
+
value: 33.333
|
| 1383 |
- type: precision_at_10
|
| 1384 |
+
value: 9.722
|
| 1385 |
- type: precision_at_100
|
| 1386 |
+
value: 1.6480000000000001
|
| 1387 |
- type: precision_at_1000
|
| 1388 |
+
value: 0.22699999999999998
|
| 1389 |
- type: precision_at_3
|
| 1390 |
+
value: 20.936
|
| 1391 |
- type: precision_at_5
|
| 1392 |
+
value: 15.154
|
| 1393 |
- type: recall_at_1
|
| 1394 |
+
value: 16.314999999999998
|
| 1395 |
- type: recall_at_10
|
| 1396 |
+
value: 41.221000000000004
|
| 1397 |
- type: recall_at_100
|
| 1398 |
+
value: 65.857
|
| 1399 |
- type: recall_at_1000
|
| 1400 |
+
value: 87.327
|
| 1401 |
- type: recall_at_3
|
| 1402 |
+
value: 27.435
|
| 1403 |
- type: recall_at_5
|
| 1404 |
+
value: 32.242
|
| 1405 |
- task:
|
| 1406 |
type: Retrieval
|
| 1407 |
dataset:
|
|
|
|
| 1412 |
revision: None
|
| 1413 |
metrics:
|
| 1414 |
- type: map_at_1
|
| 1415 |
+
value: 31.978
|
| 1416 |
- type: map_at_10
|
| 1417 |
+
value: 43.784
|
| 1418 |
- type: map_at_100
|
| 1419 |
+
value: 44.547
|
| 1420 |
- type: map_at_1000
|
| 1421 |
+
value: 44.614
|
| 1422 |
- type: map_at_3
|
| 1423 |
+
value: 41.317
|
| 1424 |
- type: map_at_5
|
| 1425 |
+
value: 42.812
|
| 1426 |
- type: mrr_at_1
|
| 1427 |
+
value: 63.956999999999994
|
| 1428 |
- type: mrr_at_10
|
| 1429 |
+
value: 70.502
|
| 1430 |
- type: mrr_at_100
|
| 1431 |
+
value: 70.845
|
| 1432 |
- type: mrr_at_1000
|
| 1433 |
+
value: 70.865
|
| 1434 |
- type: mrr_at_3
|
| 1435 |
+
value: 69.192
|
| 1436 |
- type: mrr_at_5
|
| 1437 |
+
value: 69.994
|
| 1438 |
- type: ndcg_at_1
|
| 1439 |
+
value: 63.956999999999994
|
| 1440 |
- type: ndcg_at_10
|
| 1441 |
+
value: 52.782
|
| 1442 |
- type: ndcg_at_100
|
| 1443 |
+
value: 55.78999999999999
|
| 1444 |
- type: ndcg_at_1000
|
| 1445 |
+
value: 57.289
|
| 1446 |
- type: ndcg_at_3
|
| 1447 |
+
value: 48.864000000000004
|
| 1448 |
- type: ndcg_at_5
|
| 1449 |
+
value: 50.964
|
| 1450 |
- type: precision_at_1
|
| 1451 |
+
value: 63.956999999999994
|
| 1452 |
- type: precision_at_10
|
| 1453 |
+
value: 10.809000000000001
|
| 1454 |
- type: precision_at_100
|
| 1455 |
+
value: 1.319
|
| 1456 |
- type: precision_at_1000
|
| 1457 |
+
value: 0.152
|
| 1458 |
- type: precision_at_3
|
| 1459 |
+
value: 30.2
|
| 1460 |
- type: precision_at_5
|
| 1461 |
+
value: 19.787
|
| 1462 |
- type: recall_at_1
|
| 1463 |
+
value: 31.978
|
| 1464 |
- type: recall_at_10
|
| 1465 |
+
value: 54.045
|
| 1466 |
- type: recall_at_100
|
| 1467 |
+
value: 65.928
|
| 1468 |
- type: recall_at_1000
|
| 1469 |
+
value: 75.976
|
| 1470 |
- type: recall_at_3
|
| 1471 |
+
value: 45.300000000000004
|
| 1472 |
- type: recall_at_5
|
| 1473 |
+
value: 49.467
|
| 1474 |
- task:
|
| 1475 |
type: Classification
|
| 1476 |
dataset:
|
|
|
|
| 1481 |
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
|
| 1482 |
metrics:
|
| 1483 |
- type: accuracy
|
| 1484 |
+
value: 63.8708
|
| 1485 |
- type: ap
|
| 1486 |
+
value: 59.02002684158838
|
| 1487 |
- type: f1
|
| 1488 |
+
value: 63.650055896985315
|
| 1489 |
- task:
|
| 1490 |
type: Retrieval
|
| 1491 |
dataset:
|
|
|
|
| 1496 |
revision: None
|
| 1497 |
metrics:
|
| 1498 |
- type: map_at_1
|
| 1499 |
+
value: 19.834
|
| 1500 |
- type: map_at_10
|
| 1501 |
+
value: 31.317
|
| 1502 |
- type: map_at_100
|
| 1503 |
+
value: 32.576
|
| 1504 |
- type: map_at_1000
|
| 1505 |
+
value: 32.631
|
| 1506 |
- type: map_at_3
|
| 1507 |
+
value: 27.728
|
| 1508 |
- type: map_at_5
|
| 1509 |
+
value: 29.720000000000002
|
| 1510 |
- type: mrr_at_1
|
| 1511 |
+
value: 20.43
|
| 1512 |
- type: mrr_at_10
|
| 1513 |
+
value: 31.868999999999996
|
| 1514 |
- type: mrr_at_100
|
| 1515 |
+
value: 33.074999999999996
|
| 1516 |
- type: mrr_at_1000
|
| 1517 |
+
value: 33.123999999999995
|
| 1518 |
- type: mrr_at_3
|
| 1519 |
+
value: 28.333000000000002
|
| 1520 |
- type: mrr_at_5
|
| 1521 |
+
value: 30.305
|
| 1522 |
- type: ndcg_at_1
|
| 1523 |
+
value: 20.43
|
| 1524 |
- type: ndcg_at_10
|
| 1525 |
+
value: 37.769000000000005
|
| 1526 |
- type: ndcg_at_100
|
| 1527 |
+
value: 43.924
|
| 1528 |
- type: ndcg_at_1000
|
| 1529 |
+
value: 45.323
|
| 1530 |
- type: ndcg_at_3
|
| 1531 |
+
value: 30.422
|
| 1532 |
- type: ndcg_at_5
|
| 1533 |
+
value: 33.98
|
| 1534 |
- type: precision_at_1
|
| 1535 |
+
value: 20.43
|
| 1536 |
- type: precision_at_10
|
| 1537 |
+
value: 6.027
|
| 1538 |
- type: precision_at_100
|
| 1539 |
+
value: 0.9119999999999999
|
| 1540 |
- type: precision_at_1000
|
| 1541 |
value: 0.10300000000000001
|
| 1542 |
- type: precision_at_3
|
| 1543 |
+
value: 12.985
|
| 1544 |
- type: precision_at_5
|
| 1545 |
+
value: 9.593
|
| 1546 |
- type: recall_at_1
|
| 1547 |
+
value: 19.834
|
| 1548 |
- type: recall_at_10
|
| 1549 |
+
value: 57.647000000000006
|
| 1550 |
- type: recall_at_100
|
| 1551 |
+
value: 86.276
|
| 1552 |
- type: recall_at_1000
|
| 1553 |
+
value: 97.065
|
| 1554 |
- type: recall_at_3
|
| 1555 |
+
value: 37.616
|
| 1556 |
- type: recall_at_5
|
| 1557 |
+
value: 46.171
|
| 1558 |
- task:
|
| 1559 |
type: Classification
|
| 1560 |
dataset:
|
|
|
|
| 1565 |
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
|
| 1566 |
metrics:
|
| 1567 |
- type: accuracy
|
| 1568 |
+
value: 91.52530779753762
|
| 1569 |
- type: f1
|
| 1570 |
+
value: 91.4004687820246
|
| 1571 |
- task:
|
| 1572 |
type: Classification
|
| 1573 |
dataset:
|
|
|
|
| 1578 |
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
|
| 1579 |
metrics:
|
| 1580 |
- type: accuracy
|
| 1581 |
+
value: 72.82717738258093
|
| 1582 |
- type: f1
|
| 1583 |
+
value: 56.791387113030346
|
| 1584 |
- task:
|
| 1585 |
type: Classification
|
| 1586 |
dataset:
|
|
|
|
| 1591 |
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
|
| 1592 |
metrics:
|
| 1593 |
- type: accuracy
|
| 1594 |
+
value: 71.09280430396772
|
| 1595 |
- type: f1
|
| 1596 |
+
value: 68.92843467363518
|
| 1597 |
- task:
|
| 1598 |
type: Classification
|
| 1599 |
dataset:
|
|
|
|
| 1604 |
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 1605 |
metrics:
|
| 1606 |
- type: accuracy
|
| 1607 |
+
value: 76.2542030934768
|
| 1608 |
- type: f1
|
| 1609 |
+
value: 76.22211319699834
|
| 1610 |
- task:
|
| 1611 |
type: Clustering
|
| 1612 |
dataset:
|
|
|
|
| 1617 |
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
|
| 1618 |
metrics:
|
| 1619 |
- type: v_measure
|
| 1620 |
+
value: 29.604407852989457
|
| 1621 |
- task:
|
| 1622 |
type: Clustering
|
| 1623 |
dataset:
|
|
|
|
| 1628 |
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
|
| 1629 |
metrics:
|
| 1630 |
- type: v_measure
|
| 1631 |
+
value: 25.011863718751183
|
| 1632 |
- task:
|
| 1633 |
type: Reranking
|
| 1634 |
dataset:
|
|
|
|
| 1639 |
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
|
| 1640 |
metrics:
|
| 1641 |
- type: map
|
| 1642 |
+
value: 31.55552172383111
|
| 1643 |
- type: mrr
|
| 1644 |
+
value: 32.65475731770242
|
| 1645 |
- task:
|
| 1646 |
type: Retrieval
|
| 1647 |
dataset:
|
|
|
|
| 1652 |
revision: None
|
| 1653 |
metrics:
|
| 1654 |
- type: map_at_1
|
| 1655 |
+
value: 4.968
|
| 1656 |
- type: map_at_10
|
| 1657 |
+
value: 10.703999999999999
|
| 1658 |
- type: map_at_100
|
| 1659 |
+
value: 13.316
|
| 1660 |
- type: map_at_1000
|
| 1661 |
+
value: 14.674000000000001
|
| 1662 |
- type: map_at_3
|
| 1663 |
+
value: 7.809000000000001
|
| 1664 |
- type: map_at_5
|
| 1665 |
+
value: 9.268
|
| 1666 |
- type: mrr_at_1
|
| 1667 |
+
value: 41.796
|
| 1668 |
- type: mrr_at_10
|
| 1669 |
+
value: 50.558
|
| 1670 |
- type: mrr_at_100
|
| 1671 |
+
value: 51.125
|
| 1672 |
- type: mrr_at_1000
|
| 1673 |
+
value: 51.184
|
| 1674 |
- type: mrr_at_3
|
| 1675 |
+
value: 48.349
|
| 1676 |
- type: mrr_at_5
|
| 1677 |
+
value: 49.572
|
| 1678 |
- type: ndcg_at_1
|
| 1679 |
+
value: 39.783
|
| 1680 |
- type: ndcg_at_10
|
| 1681 |
+
value: 30.375999999999998
|
| 1682 |
- type: ndcg_at_100
|
| 1683 |
+
value: 27.648
|
| 1684 |
- type: ndcg_at_1000
|
| 1685 |
+
value: 36.711
|
| 1686 |
- type: ndcg_at_3
|
| 1687 |
+
value: 35.053
|
| 1688 |
- type: ndcg_at_5
|
| 1689 |
+
value: 33.278999999999996
|
| 1690 |
- type: precision_at_1
|
| 1691 |
+
value: 41.796
|
| 1692 |
- type: precision_at_10
|
| 1693 |
+
value: 22.663
|
| 1694 |
- type: precision_at_100
|
| 1695 |
+
value: 7.210999999999999
|
| 1696 |
- type: precision_at_1000
|
| 1697 |
+
value: 1.984
|
| 1698 |
- type: precision_at_3
|
| 1699 |
+
value: 33.127
|
| 1700 |
- type: precision_at_5
|
| 1701 |
+
value: 29.102
|
| 1702 |
- type: recall_at_1
|
| 1703 |
+
value: 4.968
|
| 1704 |
- type: recall_at_10
|
| 1705 |
+
value: 14.469999999999999
|
| 1706 |
- type: recall_at_100
|
| 1707 |
+
value: 28.188000000000002
|
| 1708 |
- type: recall_at_1000
|
| 1709 |
+
value: 60.769
|
| 1710 |
- type: recall_at_3
|
| 1711 |
+
value: 8.737
|
| 1712 |
- type: recall_at_5
|
| 1713 |
+
value: 11.539000000000001
|
| 1714 |
- task:
|
| 1715 |
type: Retrieval
|
| 1716 |
dataset:
|
|
|
|
| 1721 |
revision: None
|
| 1722 |
metrics:
|
| 1723 |
- type: map_at_1
|
| 1724 |
+
value: 26.958
|
| 1725 |
- type: map_at_10
|
| 1726 |
+
value: 40.6
|
| 1727 |
- type: map_at_100
|
| 1728 |
+
value: 41.754000000000005
|
| 1729 |
- type: map_at_1000
|
| 1730 |
+
value: 41.792
|
| 1731 |
- type: map_at_3
|
| 1732 |
+
value: 36.521
|
| 1733 |
- type: map_at_5
|
| 1734 |
+
value: 38.866
|
| 1735 |
- type: mrr_at_1
|
| 1736 |
+
value: 30.330000000000002
|
| 1737 |
- type: mrr_at_10
|
| 1738 |
+
value: 43.013
|
| 1739 |
- type: mrr_at_100
|
| 1740 |
+
value: 43.89
|
| 1741 |
- type: mrr_at_1000
|
| 1742 |
+
value: 43.917
|
| 1743 |
- type: mrr_at_3
|
| 1744 |
+
value: 39.489000000000004
|
| 1745 |
- type: mrr_at_5
|
| 1746 |
+
value: 41.504999999999995
|
| 1747 |
- type: ndcg_at_1
|
| 1748 |
+
value: 30.330000000000002
|
| 1749 |
- type: ndcg_at_10
|
| 1750 |
+
value: 47.878
|
| 1751 |
- type: ndcg_at_100
|
| 1752 |
+
value: 52.761
|
| 1753 |
- type: ndcg_at_1000
|
| 1754 |
+
value: 53.69500000000001
|
| 1755 |
- type: ndcg_at_3
|
| 1756 |
+
value: 40.061
|
| 1757 |
- type: ndcg_at_5
|
| 1758 |
+
value: 43.980000000000004
|
| 1759 |
- type: precision_at_1
|
| 1760 |
+
value: 30.330000000000002
|
| 1761 |
- type: precision_at_10
|
| 1762 |
+
value: 8.048
|
| 1763 |
- type: precision_at_100
|
| 1764 |
+
value: 1.076
|
| 1765 |
- type: precision_at_1000
|
| 1766 |
value: 0.117
|
| 1767 |
- type: precision_at_3
|
| 1768 |
+
value: 18.299000000000003
|
| 1769 |
- type: precision_at_5
|
| 1770 |
+
value: 13.25
|
| 1771 |
- type: recall_at_1
|
| 1772 |
+
value: 26.958
|
| 1773 |
- type: recall_at_10
|
| 1774 |
+
value: 67.72399999999999
|
| 1775 |
- type: recall_at_100
|
| 1776 |
+
value: 89.02600000000001
|
| 1777 |
- type: recall_at_1000
|
| 1778 |
+
value: 96.029
|
| 1779 |
- type: recall_at_3
|
| 1780 |
+
value: 47.332
|
| 1781 |
- type: recall_at_5
|
| 1782 |
+
value: 56.36600000000001
|
| 1783 |
- task:
|
| 1784 |
type: Retrieval
|
| 1785 |
dataset:
|
|
|
|
| 1790 |
revision: None
|
| 1791 |
metrics:
|
| 1792 |
- type: map_at_1
|
| 1793 |
+
value: 69.926
|
| 1794 |
- type: map_at_10
|
| 1795 |
+
value: 83.797
|
| 1796 |
- type: map_at_100
|
| 1797 |
+
value: 84.42699999999999
|
| 1798 |
- type: map_at_1000
|
| 1799 |
+
value: 84.446
|
| 1800 |
- type: map_at_3
|
| 1801 |
+
value: 80.78
|
| 1802 |
- type: map_at_5
|
| 1803 |
+
value: 82.669
|
| 1804 |
- type: mrr_at_1
|
| 1805 |
+
value: 80.44
|
| 1806 |
- type: mrr_at_10
|
| 1807 |
+
value: 86.79
|
| 1808 |
- type: mrr_at_100
|
| 1809 |
+
value: 86.90299999999999
|
| 1810 |
- type: mrr_at_1000
|
| 1811 |
+
value: 86.904
|
| 1812 |
- type: mrr_at_3
|
| 1813 |
+
value: 85.753
|
| 1814 |
- type: mrr_at_5
|
| 1815 |
+
value: 86.478
|
| 1816 |
- type: ndcg_at_1
|
| 1817 |
+
value: 80.44
|
| 1818 |
- type: ndcg_at_10
|
| 1819 |
+
value: 87.634
|
| 1820 |
- type: ndcg_at_100
|
| 1821 |
+
value: 88.9
|
| 1822 |
- type: ndcg_at_1000
|
| 1823 |
+
value: 89.03
|
| 1824 |
- type: ndcg_at_3
|
| 1825 |
+
value: 84.622
|
| 1826 |
- type: ndcg_at_5
|
| 1827 |
+
value: 86.29
|
| 1828 |
- type: precision_at_1
|
| 1829 |
+
value: 80.44
|
| 1830 |
- type: precision_at_10
|
| 1831 |
+
value: 13.305
|
| 1832 |
- type: precision_at_100
|
| 1833 |
+
value: 1.524
|
| 1834 |
- type: precision_at_1000
|
| 1835 |
value: 0.157
|
| 1836 |
- type: precision_at_3
|
| 1837 |
+
value: 36.957
|
| 1838 |
- type: precision_at_5
|
| 1839 |
+
value: 24.328
|
| 1840 |
- type: recall_at_1
|
| 1841 |
+
value: 69.926
|
| 1842 |
- type: recall_at_10
|
| 1843 |
+
value: 94.99300000000001
|
| 1844 |
- type: recall_at_100
|
| 1845 |
+
value: 99.345
|
| 1846 |
- type: recall_at_1000
|
| 1847 |
+
value: 99.97
|
| 1848 |
- type: recall_at_3
|
| 1849 |
+
value: 86.465
|
| 1850 |
- type: recall_at_5
|
| 1851 |
+
value: 91.121
|
| 1852 |
- task:
|
| 1853 |
type: Clustering
|
| 1854 |
dataset:
|
|
|
|
| 1859 |
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
|
| 1860 |
metrics:
|
| 1861 |
- type: v_measure
|
| 1862 |
+
value: 42.850644235471144
|
| 1863 |
- task:
|
| 1864 |
type: Clustering
|
| 1865 |
dataset:
|
|
|
|
| 1870 |
revision: 282350215ef01743dc01b456c7f5241fa8937f16
|
| 1871 |
metrics:
|
| 1872 |
- type: v_measure
|
| 1873 |
+
value: 52.547875398320734
|
| 1874 |
- task:
|
| 1875 |
type: Retrieval
|
| 1876 |
dataset:
|
|
|
|
| 1881 |
revision: None
|
| 1882 |
metrics:
|
| 1883 |
- type: map_at_1
|
| 1884 |
+
value: 4.328
|
| 1885 |
- type: map_at_10
|
| 1886 |
+
value: 10.479
|
| 1887 |
- type: map_at_100
|
| 1888 |
+
value: 12.25
|
| 1889 |
- type: map_at_1000
|
| 1890 |
+
value: 12.522
|
| 1891 |
- type: map_at_3
|
| 1892 |
+
value: 7.548000000000001
|
| 1893 |
- type: map_at_5
|
| 1894 |
+
value: 9.039
|
| 1895 |
- type: mrr_at_1
|
| 1896 |
+
value: 21.3
|
| 1897 |
- type: mrr_at_10
|
| 1898 |
+
value: 30.678
|
| 1899 |
- type: mrr_at_100
|
| 1900 |
+
value: 31.77
|
| 1901 |
- type: mrr_at_1000
|
| 1902 |
+
value: 31.831
|
| 1903 |
- type: mrr_at_3
|
| 1904 |
+
value: 27.500000000000004
|
| 1905 |
- type: mrr_at_5
|
| 1906 |
+
value: 29.375
|
| 1907 |
- type: ndcg_at_1
|
| 1908 |
+
value: 21.3
|
| 1909 |
- type: ndcg_at_10
|
| 1910 |
+
value: 17.626
|
| 1911 |
- type: ndcg_at_100
|
| 1912 |
+
value: 25.03
|
| 1913 |
- type: ndcg_at_1000
|
| 1914 |
+
value: 30.055
|
| 1915 |
- type: ndcg_at_3
|
| 1916 |
+
value: 16.744999999999997
|
| 1917 |
- type: ndcg_at_5
|
| 1918 |
+
value: 14.729999999999999
|
| 1919 |
- type: precision_at_1
|
| 1920 |
+
value: 21.3
|
| 1921 |
- type: precision_at_10
|
| 1922 |
+
value: 9.09
|
| 1923 |
- type: precision_at_100
|
| 1924 |
+
value: 1.989
|
| 1925 |
- type: precision_at_1000
|
| 1926 |
+
value: 0.32
|
| 1927 |
- type: precision_at_3
|
| 1928 |
+
value: 15.467
|
| 1929 |
- type: precision_at_5
|
| 1930 |
+
value: 12.879999999999999
|
| 1931 |
- type: recall_at_1
|
| 1932 |
+
value: 4.328
|
| 1933 |
- type: recall_at_10
|
| 1934 |
+
value: 18.412
|
| 1935 |
- type: recall_at_100
|
| 1936 |
+
value: 40.363
|
| 1937 |
- type: recall_at_1000
|
| 1938 |
+
value: 64.997
|
| 1939 |
- type: recall_at_3
|
| 1940 |
+
value: 9.408
|
| 1941 |
- type: recall_at_5
|
| 1942 |
+
value: 13.048000000000002
|
| 1943 |
- task:
|
| 1944 |
type: STS
|
| 1945 |
dataset:
|
|
|
|
| 1950 |
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
|
| 1951 |
metrics:
|
| 1952 |
- type: cos_sim_pearson
|
| 1953 |
+
value: 84.1338589503896
|
| 1954 |
- type: cos_sim_spearman
|
| 1955 |
+
value: 79.1378154534123
|
| 1956 |
- type: euclidean_pearson
|
| 1957 |
+
value: 73.17857462509251
|
| 1958 |
- type: euclidean_spearman
|
| 1959 |
+
value: 70.79268955610539
|
| 1960 |
- type: manhattan_pearson
|
| 1961 |
+
value: 72.8280251705823
|
| 1962 |
- type: manhattan_spearman
|
| 1963 |
+
value: 70.60323787229834
|
| 1964 |
- task:
|
| 1965 |
type: STS
|
| 1966 |
dataset:
|
|
|
|
| 1971 |
revision: a0d554a64d88156834ff5ae9920b964011b16384
|
| 1972 |
metrics:
|
| 1973 |
- type: cos_sim_pearson
|
| 1974 |
+
value: 84.21604641858598
|
| 1975 |
- type: cos_sim_spearman
|
| 1976 |
+
value: 75.06080146054282
|
| 1977 |
- type: euclidean_pearson
|
| 1978 |
+
value: 69.44429285856924
|
| 1979 |
- type: euclidean_spearman
|
| 1980 |
+
value: 58.240130690046456
|
| 1981 |
- type: manhattan_pearson
|
| 1982 |
+
value: 69.07597314234852
|
| 1983 |
- type: manhattan_spearman
|
| 1984 |
+
value: 58.08224335836159
|
| 1985 |
- task:
|
| 1986 |
type: STS
|
| 1987 |
dataset:
|
|
|
|
| 1992 |
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
|
| 1993 |
metrics:
|
| 1994 |
- type: cos_sim_pearson
|
| 1995 |
+
value: 80.2252849321165
|
| 1996 |
- type: cos_sim_spearman
|
| 1997 |
+
value: 80.85907200101076
|
| 1998 |
- type: euclidean_pearson
|
| 1999 |
+
value: 70.85619832878055
|
| 2000 |
- type: euclidean_spearman
|
| 2001 |
+
value: 71.59417341887324
|
| 2002 |
- type: manhattan_pearson
|
| 2003 |
+
value: 70.55842192345895
|
| 2004 |
- type: manhattan_spearman
|
| 2005 |
+
value: 71.30332994715893
|
| 2006 |
- task:
|
| 2007 |
type: STS
|
| 2008 |
dataset:
|
|
|
|
| 2013 |
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
|
| 2014 |
metrics:
|
| 2015 |
- type: cos_sim_pearson
|
| 2016 |
+
value: 80.50469360654135
|
| 2017 |
- type: cos_sim_spearman
|
| 2018 |
+
value: 76.12917164308409
|
| 2019 |
- type: euclidean_pearson
|
| 2020 |
+
value: 70.4070213910491
|
| 2021 |
- type: euclidean_spearman
|
| 2022 |
+
value: 66.97320451942113
|
| 2023 |
- type: manhattan_pearson
|
| 2024 |
+
value: 70.24834290119863
|
| 2025 |
- type: manhattan_spearman
|
| 2026 |
+
value: 66.9047074173091
|
| 2027 |
- task:
|
| 2028 |
type: STS
|
| 2029 |
dataset:
|
|
|
|
| 2034 |
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
|
| 2035 |
metrics:
|
| 2036 |
- type: cos_sim_pearson
|
| 2037 |
+
value: 84.70140350059746
|
| 2038 |
- type: cos_sim_spearman
|
| 2039 |
+
value: 85.55427877110485
|
| 2040 |
- type: euclidean_pearson
|
| 2041 |
+
value: 63.4780453371435
|
| 2042 |
- type: euclidean_spearman
|
| 2043 |
+
value: 64.65485395077273
|
| 2044 |
- type: manhattan_pearson
|
| 2045 |
+
value: 63.64869846572011
|
| 2046 |
- type: manhattan_spearman
|
| 2047 |
+
value: 64.87219311596813
|
| 2048 |
- task:
|
| 2049 |
type: STS
|
| 2050 |
dataset:
|
|
|
|
| 2055 |
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
|
| 2056 |
metrics:
|
| 2057 |
- type: cos_sim_pearson
|
| 2058 |
+
value: 79.4416477676503
|
| 2059 |
- type: cos_sim_spearman
|
| 2060 |
+
value: 81.2094925260351
|
| 2061 |
- type: euclidean_pearson
|
| 2062 |
+
value: 68.372257553367
|
| 2063 |
- type: euclidean_spearman
|
| 2064 |
+
value: 69.47792807911692
|
| 2065 |
- type: manhattan_pearson
|
| 2066 |
+
value: 68.17773583183664
|
| 2067 |
- type: manhattan_spearman
|
| 2068 |
+
value: 69.31505452732998
|
| 2069 |
- task:
|
| 2070 |
type: STS
|
| 2071 |
dataset:
|
|
|
|
| 2076 |
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
| 2077 |
metrics:
|
| 2078 |
- type: cos_sim_pearson
|
| 2079 |
+
value: 88.94688403351994
|
| 2080 |
- type: cos_sim_spearman
|
| 2081 |
+
value: 88.97626967707933
|
| 2082 |
- type: euclidean_pearson
|
| 2083 |
+
value: 74.09942728422159
|
| 2084 |
- type: euclidean_spearman
|
| 2085 |
+
value: 72.91022362666948
|
| 2086 |
- type: manhattan_pearson
|
| 2087 |
+
value: 74.11262432880199
|
| 2088 |
- type: manhattan_spearman
|
| 2089 |
+
value: 72.82115894578564
|
| 2090 |
- task:
|
| 2091 |
type: STS
|
| 2092 |
dataset:
|
|
|
|
| 2097 |
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
|
| 2098 |
metrics:
|
| 2099 |
- type: cos_sim_pearson
|
| 2100 |
+
value: 67.42605802805606
|
| 2101 |
- type: cos_sim_spearman
|
| 2102 |
+
value: 66.22330559222408
|
| 2103 |
- type: euclidean_pearson
|
| 2104 |
+
value: 50.15272876367891
|
| 2105 |
- type: euclidean_spearman
|
| 2106 |
+
value: 60.695400782452715
|
| 2107 |
- type: manhattan_pearson
|
| 2108 |
+
value: 50.17076569264417
|
| 2109 |
- type: manhattan_spearman
|
| 2110 |
+
value: 60.3761281869747
|
| 2111 |
- task:
|
| 2112 |
type: STS
|
| 2113 |
dataset:
|
|
|
|
| 2118 |
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
|
| 2119 |
metrics:
|
| 2120 |
- type: cos_sim_pearson
|
| 2121 |
+
value: 82.85939227596093
|
| 2122 |
- type: cos_sim_spearman
|
| 2123 |
+
value: 82.57071649593358
|
| 2124 |
- type: euclidean_pearson
|
| 2125 |
+
value: 72.18291316100125
|
| 2126 |
- type: euclidean_spearman
|
| 2127 |
+
value: 70.70702024402348
|
| 2128 |
- type: manhattan_pearson
|
| 2129 |
+
value: 72.36789718833687
|
| 2130 |
- type: manhattan_spearman
|
| 2131 |
+
value: 70.92789721402387
|
| 2132 |
- task:
|
| 2133 |
type: Reranking
|
| 2134 |
dataset:
|
|
|
|
| 2139 |
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
|
| 2140 |
metrics:
|
| 2141 |
- type: map
|
| 2142 |
+
value: 79.31107201598611
|
| 2143 |
- type: mrr
|
| 2144 |
+
value: 93.66321314850727
|
| 2145 |
- task:
|
| 2146 |
type: Retrieval
|
| 2147 |
dataset:
|
|
|
|
| 2152 |
revision: None
|
| 2153 |
metrics:
|
| 2154 |
- type: map_at_1
|
| 2155 |
+
value: 45.428000000000004
|
| 2156 |
- type: map_at_10
|
| 2157 |
+
value: 54.730000000000004
|
| 2158 |
- type: map_at_100
|
| 2159 |
+
value: 55.421
|
| 2160 |
- type: map_at_1000
|
| 2161 |
+
value: 55.47299999999999
|
| 2162 |
- type: map_at_3
|
| 2163 |
+
value: 52.333
|
| 2164 |
- type: map_at_5
|
| 2165 |
+
value: 53.72
|
| 2166 |
- type: mrr_at_1
|
| 2167 |
+
value: 48.333
|
| 2168 |
- type: mrr_at_10
|
| 2169 |
+
value: 56.601
|
| 2170 |
- type: mrr_at_100
|
| 2171 |
+
value: 57.106
|
| 2172 |
- type: mrr_at_1000
|
| 2173 |
+
value: 57.154
|
| 2174 |
- type: mrr_at_3
|
| 2175 |
+
value: 54.611
|
| 2176 |
- type: mrr_at_5
|
| 2177 |
+
value: 55.87800000000001
|
| 2178 |
- type: ndcg_at_1
|
| 2179 |
+
value: 48.333
|
| 2180 |
- type: ndcg_at_10
|
| 2181 |
+
value: 59.394999999999996
|
| 2182 |
- type: ndcg_at_100
|
| 2183 |
+
value: 62.549
|
| 2184 |
- type: ndcg_at_1000
|
| 2185 |
+
value: 63.941
|
| 2186 |
- type: ndcg_at_3
|
| 2187 |
+
value: 55.096000000000004
|
| 2188 |
- type: ndcg_at_5
|
| 2189 |
+
value: 57.325
|
| 2190 |
- type: precision_at_1
|
| 2191 |
+
value: 48.333
|
| 2192 |
- type: precision_at_10
|
| 2193 |
+
value: 8.1
|
| 2194 |
- type: precision_at_100
|
| 2195 |
+
value: 0.983
|
| 2196 |
- type: precision_at_1000
|
| 2197 |
value: 0.11
|
| 2198 |
- type: precision_at_3
|
| 2199 |
+
value: 21.889
|
| 2200 |
- type: precision_at_5
|
| 2201 |
+
value: 14.533
|
| 2202 |
- type: recall_at_1
|
| 2203 |
+
value: 45.428000000000004
|
| 2204 |
- type: recall_at_10
|
| 2205 |
+
value: 71.806
|
| 2206 |
- type: recall_at_100
|
| 2207 |
+
value: 86.533
|
| 2208 |
- type: recall_at_1000
|
| 2209 |
value: 97.5
|
| 2210 |
- type: recall_at_3
|
| 2211 |
+
value: 60.228
|
| 2212 |
- type: recall_at_5
|
| 2213 |
+
value: 65.90599999999999
|
| 2214 |
- task:
|
| 2215 |
type: PairClassification
|
| 2216 |
dataset:
|
|
|
|
| 2221 |
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
|
| 2222 |
metrics:
|
| 2223 |
- type: cos_sim_accuracy
|
| 2224 |
+
value: 99.8029702970297
|
| 2225 |
- type: cos_sim_ap
|
| 2226 |
+
value: 95.48085242816634
|
| 2227 |
- type: cos_sim_f1
|
| 2228 |
+
value: 89.86653484923382
|
| 2229 |
- type: cos_sim_precision
|
| 2230 |
+
value: 88.85630498533725
|
| 2231 |
- type: cos_sim_recall
|
| 2232 |
+
value: 90.9
|
| 2233 |
- type: dot_accuracy
|
| 2234 |
+
value: 99.21881188118812
|
| 2235 |
- type: dot_ap
|
| 2236 |
+
value: 55.14126603018576
|
| 2237 |
- type: dot_f1
|
| 2238 |
+
value: 55.22458628841608
|
| 2239 |
- type: dot_precision
|
| 2240 |
+
value: 52.37668161434977
|
| 2241 |
- type: dot_recall
|
| 2242 |
+
value: 58.4
|
| 2243 |
- type: euclidean_accuracy
|
| 2244 |
+
value: 99.64356435643565
|
| 2245 |
- type: euclidean_ap
|
| 2246 |
+
value: 84.52487064474103
|
| 2247 |
- type: euclidean_f1
|
| 2248 |
+
value: 80.53908355795149
|
| 2249 |
- type: euclidean_precision
|
| 2250 |
+
value: 87.36842105263159
|
| 2251 |
- type: euclidean_recall
|
| 2252 |
+
value: 74.7
|
| 2253 |
- type: manhattan_accuracy
|
| 2254 |
+
value: 99.63861386138613
|
| 2255 |
- type: manhattan_ap
|
| 2256 |
+
value: 84.1994288662172
|
| 2257 |
- type: manhattan_f1
|
| 2258 |
+
value: 80.38482095136291
|
| 2259 |
- type: manhattan_precision
|
| 2260 |
+
value: 86.33754305396096
|
| 2261 |
- type: manhattan_recall
|
| 2262 |
+
value: 75.2
|
| 2263 |
- type: max_accuracy
|
| 2264 |
+
value: 99.8029702970297
|
| 2265 |
- type: max_ap
|
| 2266 |
+
value: 95.48085242816634
|
| 2267 |
- type: max_f1
|
| 2268 |
+
value: 89.86653484923382
|
| 2269 |
- task:
|
| 2270 |
type: Clustering
|
| 2271 |
dataset:
|
|
|
|
| 2276 |
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
|
| 2277 |
metrics:
|
| 2278 |
- type: v_measure
|
| 2279 |
+
value: 48.06508273111389
|
| 2280 |
- task:
|
| 2281 |
type: Clustering
|
| 2282 |
dataset:
|
|
|
|
| 2287 |
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
|
| 2288 |
metrics:
|
| 2289 |
- type: v_measure
|
| 2290 |
+
value: 31.36169910951664
|
| 2291 |
- task:
|
| 2292 |
type: Reranking
|
| 2293 |
dataset:
|
|
|
|
| 2298 |
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
|
| 2299 |
metrics:
|
| 2300 |
- type: map
|
| 2301 |
+
value: 50.110601218420356
|
| 2302 |
- type: mrr
|
| 2303 |
+
value: 50.90277777777777
|
| 2304 |
- task:
|
| 2305 |
type: Summarization
|
| 2306 |
dataset:
|
|
|
|
| 2311 |
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
|
| 2312 |
metrics:
|
| 2313 |
- type: cos_sim_pearson
|
| 2314 |
+
value: 29.63669555287747
|
| 2315 |
- type: cos_sim_spearman
|
| 2316 |
+
value: 30.708042454053853
|
| 2317 |
- type: dot_pearson
|
| 2318 |
+
value: 20.309025749838924
|
| 2319 |
- type: dot_spearman
|
| 2320 |
+
value: 21.511758746817165
|
| 2321 |
- task:
|
| 2322 |
type: Retrieval
|
| 2323 |
dataset:
|
|
|
|
| 2328 |
revision: None
|
| 2329 |
metrics:
|
| 2330 |
- type: map_at_1
|
| 2331 |
+
value: 0.201
|
| 2332 |
- type: map_at_10
|
| 2333 |
+
value: 1.405
|
| 2334 |
- type: map_at_100
|
| 2335 |
+
value: 7.359999999999999
|
| 2336 |
- type: map_at_1000
|
| 2337 |
+
value: 17.858
|
| 2338 |
- type: map_at_3
|
| 2339 |
+
value: 0.494
|
| 2340 |
- type: map_at_5
|
| 2341 |
+
value: 0.757
|
| 2342 |
- type: mrr_at_1
|
| 2343 |
+
value: 74.0
|
| 2344 |
- type: mrr_at_10
|
| 2345 |
+
value: 84.89999999999999
|
| 2346 |
- type: mrr_at_100
|
| 2347 |
+
value: 84.89999999999999
|
| 2348 |
- type: mrr_at_1000
|
| 2349 |
+
value: 84.89999999999999
|
| 2350 |
- type: mrr_at_3
|
| 2351 |
+
value: 84.0
|
| 2352 |
- type: mrr_at_5
|
| 2353 |
+
value: 84.89999999999999
|
| 2354 |
- type: ndcg_at_1
|
| 2355 |
+
value: 68.0
|
| 2356 |
- type: ndcg_at_10
|
| 2357 |
+
value: 60.571
|
| 2358 |
- type: ndcg_at_100
|
| 2359 |
+
value: 46.016
|
| 2360 |
- type: ndcg_at_1000
|
| 2361 |
+
value: 41.277
|
| 2362 |
- type: ndcg_at_3
|
| 2363 |
+
value: 63.989
|
| 2364 |
- type: ndcg_at_5
|
| 2365 |
+
value: 61.41
|
| 2366 |
- type: precision_at_1
|
| 2367 |
+
value: 74.0
|
| 2368 |
- type: precision_at_10
|
| 2369 |
+
value: 65.2
|
| 2370 |
- type: precision_at_100
|
| 2371 |
+
value: 47.04
|
| 2372 |
- type: precision_at_1000
|
| 2373 |
+
value: 18.416
|
| 2374 |
- type: precision_at_3
|
| 2375 |
+
value: 68.0
|
| 2376 |
- type: precision_at_5
|
| 2377 |
+
value: 66.4
|
| 2378 |
- type: recall_at_1
|
| 2379 |
+
value: 0.201
|
| 2380 |
- type: recall_at_10
|
| 2381 |
+
value: 1.763
|
| 2382 |
- type: recall_at_100
|
| 2383 |
+
value: 11.008999999999999
|
| 2384 |
- type: recall_at_1000
|
| 2385 |
+
value: 38.509
|
| 2386 |
- type: recall_at_3
|
| 2387 |
+
value: 0.551
|
| 2388 |
- type: recall_at_5
|
| 2389 |
+
value: 0.881
|
| 2390 |
- task:
|
| 2391 |
type: Retrieval
|
| 2392 |
dataset:
|
|
|
|
| 2397 |
revision: None
|
| 2398 |
metrics:
|
| 2399 |
- type: map_at_1
|
| 2400 |
+
value: 1.4040000000000001
|
| 2401 |
- type: map_at_10
|
| 2402 |
+
value: 7.847999999999999
|
| 2403 |
- type: map_at_100
|
| 2404 |
+
value: 12.908
|
| 2405 |
- type: map_at_1000
|
| 2406 |
+
value: 14.37
|
| 2407 |
- type: map_at_3
|
| 2408 |
+
value: 3.6450000000000005
|
| 2409 |
- type: map_at_5
|
| 2410 |
+
value: 4.93
|
| 2411 |
- type: mrr_at_1
|
| 2412 |
+
value: 18.367
|
| 2413 |
- type: mrr_at_10
|
| 2414 |
+
value: 32.576
|
| 2415 |
- type: mrr_at_100
|
| 2416 |
+
value: 34.163
|
| 2417 |
- type: mrr_at_1000
|
| 2418 |
+
value: 34.18
|
| 2419 |
- type: mrr_at_3
|
| 2420 |
+
value: 28.571
|
| 2421 |
- type: mrr_at_5
|
| 2422 |
+
value: 30.918
|
| 2423 |
- type: ndcg_at_1
|
| 2424 |
+
value: 15.306000000000001
|
| 2425 |
- type: ndcg_at_10
|
| 2426 |
+
value: 18.59
|
| 2427 |
- type: ndcg_at_100
|
| 2428 |
+
value: 30.394
|
| 2429 |
- type: ndcg_at_1000
|
| 2430 |
+
value: 42.198
|
| 2431 |
- type: ndcg_at_3
|
| 2432 |
+
value: 18.099
|
| 2433 |
- type: ndcg_at_5
|
| 2434 |
+
value: 16.955000000000002
|
| 2435 |
- type: precision_at_1
|
| 2436 |
+
value: 16.326999999999998
|
| 2437 |
- type: precision_at_10
|
| 2438 |
+
value: 17.959
|
| 2439 |
- type: precision_at_100
|
| 2440 |
+
value: 6.755
|
| 2441 |
- type: precision_at_1000
|
| 2442 |
+
value: 1.4529999999999998
|
| 2443 |
- type: precision_at_3
|
| 2444 |
value: 20.408
|
| 2445 |
- type: precision_at_5
|
| 2446 |
+
value: 18.367
|
| 2447 |
- type: recall_at_1
|
| 2448 |
+
value: 1.4040000000000001
|
| 2449 |
- type: recall_at_10
|
| 2450 |
+
value: 14.048
|
| 2451 |
- type: recall_at_100
|
| 2452 |
+
value: 42.150999999999996
|
| 2453 |
- type: recall_at_1000
|
| 2454 |
+
value: 77.85600000000001
|
| 2455 |
- type: recall_at_3
|
| 2456 |
+
value: 4.819
|
| 2457 |
- type: recall_at_5
|
| 2458 |
+
value: 7.13
|
| 2459 |
- task:
|
| 2460 |
type: Classification
|
| 2461 |
dataset:
|
|
|
|
| 2466 |
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
|
| 2467 |
metrics:
|
| 2468 |
- type: accuracy
|
| 2469 |
+
value: 66.1456
|
| 2470 |
- type: ap
|
| 2471 |
+
value: 11.631023858569064
|
| 2472 |
- type: f1
|
| 2473 |
+
value: 50.128196455722254
|
| 2474 |
- task:
|
| 2475 |
type: Classification
|
| 2476 |
dataset:
|
|
|
|
| 2481 |
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
|
| 2482 |
metrics:
|
| 2483 |
- type: accuracy
|
| 2484 |
+
value: 56.850594227504246
|
| 2485 |
- type: f1
|
| 2486 |
+
value: 56.82313689360827
|
| 2487 |
- task:
|
| 2488 |
type: Clustering
|
| 2489 |
dataset:
|
|
|
|
| 2494 |
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
|
| 2495 |
metrics:
|
| 2496 |
- type: v_measure
|
| 2497 |
+
value: 38.060423744064764
|
| 2498 |
- task:
|
| 2499 |
type: PairClassification
|
| 2500 |
dataset:
|
|
|
|
| 2505 |
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
| 2506 |
metrics:
|
| 2507 |
- type: cos_sim_accuracy
|
| 2508 |
+
value: 84.43702688204088
|
| 2509 |
- type: cos_sim_ap
|
| 2510 |
+
value: 68.30176948820142
|
| 2511 |
- type: cos_sim_f1
|
| 2512 |
+
value: 64.25430330443524
|
| 2513 |
- type: cos_sim_precision
|
| 2514 |
+
value: 61.33365315423362
|
| 2515 |
- type: cos_sim_recall
|
| 2516 |
+
value: 67.46701846965699
|
| 2517 |
- type: dot_accuracy
|
| 2518 |
+
value: 77.76718126005842
|
| 2519 |
- type: dot_ap
|
| 2520 |
+
value: 37.510516716176305
|
| 2521 |
- type: dot_f1
|
| 2522 |
+
value: 43.53859496964441
|
| 2523 |
- type: dot_precision
|
| 2524 |
+
value: 32.428940568475454
|
| 2525 |
- type: dot_recall
|
| 2526 |
+
value: 66.2269129287599
|
| 2527 |
- type: euclidean_accuracy
|
| 2528 |
+
value: 82.10049472492102
|
| 2529 |
- type: euclidean_ap
|
| 2530 |
+
value: 61.64354520687271
|
| 2531 |
- type: euclidean_f1
|
| 2532 |
+
value: 59.804144841721694
|
| 2533 |
- type: euclidean_precision
|
| 2534 |
+
value: 52.604166666666664
|
| 2535 |
- type: euclidean_recall
|
| 2536 |
+
value: 69.28759894459104
|
| 2537 |
- type: manhattan_accuracy
|
| 2538 |
+
value: 82.22566609048101
|
| 2539 |
- type: manhattan_ap
|
| 2540 |
+
value: 61.753431124879974
|
| 2541 |
- type: manhattan_f1
|
| 2542 |
+
value: 59.77735297424941
|
| 2543 |
- type: manhattan_precision
|
| 2544 |
+
value: 52.0870076425632
|
| 2545 |
- type: manhattan_recall
|
| 2546 |
+
value: 70.13192612137203
|
| 2547 |
- type: max_accuracy
|
| 2548 |
+
value: 84.43702688204088
|
| 2549 |
- type: max_ap
|
| 2550 |
+
value: 68.30176948820142
|
| 2551 |
- type: max_f1
|
| 2552 |
+
value: 64.25430330443524
|
| 2553 |
- task:
|
| 2554 |
type: PairClassification
|
| 2555 |
dataset:
|
|
|
|
| 2560 |
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
| 2561 |
metrics:
|
| 2562 |
- type: cos_sim_accuracy
|
| 2563 |
+
value: 88.81515116233942
|
| 2564 |
- type: cos_sim_ap
|
| 2565 |
+
value: 85.33305785100573
|
| 2566 |
- type: cos_sim_f1
|
| 2567 |
+
value: 78.11202938475667
|
| 2568 |
- type: cos_sim_precision
|
| 2569 |
+
value: 74.68567816253424
|
| 2570 |
- type: cos_sim_recall
|
| 2571 |
+
value: 81.86787804126887
|
| 2572 |
- type: dot_accuracy
|
| 2573 |
+
value: 82.50475414289595
|
| 2574 |
- type: dot_ap
|
| 2575 |
+
value: 69.87015340174045
|
| 2576 |
- type: dot_f1
|
| 2577 |
+
value: 65.94174480373633
|
| 2578 |
- type: dot_precision
|
| 2579 |
+
value: 61.40362525728703
|
| 2580 |
- type: dot_recall
|
| 2581 |
+
value: 71.20418848167539
|
| 2582 |
- type: euclidean_accuracy
|
| 2583 |
+
value: 83.05778709201692
|
| 2584 |
- type: euclidean_ap
|
| 2585 |
+
value: 70.54206653977498
|
| 2586 |
- type: euclidean_f1
|
| 2587 |
+
value: 62.98969847356943
|
| 2588 |
- type: euclidean_precision
|
| 2589 |
+
value: 61.55033063923585
|
| 2590 |
- type: euclidean_recall
|
| 2591 |
+
value: 64.49799815214044
|
| 2592 |
- type: manhattan_accuracy
|
| 2593 |
+
value: 83.0034540303489
|
| 2594 |
- type: manhattan_ap
|
| 2595 |
+
value: 70.53997987198404
|
| 2596 |
- type: manhattan_f1
|
| 2597 |
+
value: 62.95875898600075
|
| 2598 |
- type: manhattan_precision
|
| 2599 |
+
value: 61.89555125725339
|
| 2600 |
- type: manhattan_recall
|
| 2601 |
+
value: 64.05913150600554
|
| 2602 |
- type: max_accuracy
|
| 2603 |
+
value: 88.81515116233942
|
| 2604 |
- type: max_ap
|
| 2605 |
+
value: 85.33305785100573
|
| 2606 |
- type: max_f1
|
| 2607 |
+
value: 78.11202938475667
|
| 2608 |
---
|
| 2609 |
---
|
| 2610 |
|
|
|
|
| 2665 |
|all-minilm-l6-v2|0.724|0.806|0.756|0.854|0.79 |0.876|0.473 |0.876|0.645 |
|
| 2666 |
|all-mpnet-base-v2|0.726|0.835|**0.78** |0.857|0.8 |**0.906**|0.513 |0.875|0.656 |
|
| 2667 |
|ada-embedding-002|0.698|0.833|0.761|0.861|**0.86** |0.903|**0.685** |0.876|**0.726** |
|
| 2668 |
+
|jina-embedding-t-en-v1|0.717|0.773|0.731|0.829|0.777|0.860|0.482 |0.840|0.522 |
|
| 2669 |
+
|jina-embedding-s-en-v1|0.743|0.786|0.738|0.837|0.80|0.875|0.523 |0.857|0.524 |
|
| 2670 |
+
|jina-embedding-b-en-v1|**0.751**|0.809|0.761|0.856|0.812|0.890|0.606 |0.876|0.594 |
|
| 2671 |
|jina-embedding-l-en-v1|0.739|**0.844**|0.778|**0.863**|0.821|0.896|0.566 |**0.882**|0.608 |
|
| 2672 |
|
| 2673 |
## Usage
|
|
|
|
| 2719 |
|
| 2720 |
``` latex
|
| 2721 |
@misc{günther2023jina,
|
| 2722 |
+
title={Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models},
|
| 2723 |
author={Michael Günther and Louis Milliken and Jonathan Geuter and Georgios Mastrapas and Bo Wang and Han Xiao},
|
| 2724 |
year={2023},
|
| 2725 |
eprint={2307.11224},
|
| 2726 |
archivePrefix={arXiv},
|
| 2727 |
primaryClass={cs.CL}
|
| 2728 |
}
|
| 2729 |
+
```
|