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Browse files- README.md +73 -0
- mteb_metadata.md +1390 -0
README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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---
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---
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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- transformers
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---
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# {MODEL_NAME}
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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<!--- Describe your model here -->
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## Usage (Sentence-Transformers)
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Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
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```
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pip install -U sentence-transformers
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```
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Then you can use the model like this:
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```python
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from sentence_transformers import SentenceTransformer
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sentences = ["This is an example sentence", "Each sentence is converted"]
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model = SentenceTransformer('{MODEL_NAME}')
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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## Usage (HuggingFace Transformers)
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Without [sentence-transformers](https://www.SBERT.net), you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.
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```python
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from transformers import AutoTokenizer, AutoModel
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import torch
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#Mean Pooling - Take attention mask into account for correct averaging
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def mean_pooling(model_output, attention_mask):
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token_embeddings = model_output[0] #First element of model_output contains all token embeddings
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input_mask_expanded = attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()
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return torch.sum(token_embeddings * input_mask_expanded, 1) / torch.clamp(input_mask_expanded.sum(1), min=1e-9)
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# Sentences we want sentence embeddings for
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sentences = ['This is an example sentence', 'Each sentence is converted']
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# Load model from HuggingFace Hub
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tokenizer = AutoTokenizer.from_pretrained('{MODEL_NAME}')
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model = AutoModel.from_pretrained('{MODEL_NAME}')
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# Tokenize sentences
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encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
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# Compute token embeddings
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with torch.no_grad():
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model_output = model(**encoded_input)
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# Perform pooling. In this case, mean pooling.
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sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
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print("Sentence embeddings:")
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print(sentence_embeddings)
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```
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mteb_metadata.md
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|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- mteb
|
| 4 |
+
model-index:
|
| 5 |
+
- name: cai-lunaris-text-embeddings
|
| 6 |
+
results:
|
| 7 |
+
- task:
|
| 8 |
+
type: Retrieval
|
| 9 |
+
dataset:
|
| 10 |
+
type: arguana
|
| 11 |
+
name: MTEB ArguAna
|
| 12 |
+
config: default
|
| 13 |
+
split: test
|
| 14 |
+
revision: None
|
| 15 |
+
metrics:
|
| 16 |
+
- type: map_at_1
|
| 17 |
+
value: 17.07
|
| 18 |
+
- type: map_at_10
|
| 19 |
+
value: 29.372999999999998
|
| 20 |
+
- type: map_at_100
|
| 21 |
+
value: 30.79
|
| 22 |
+
- type: map_at_1000
|
| 23 |
+
value: 30.819999999999997
|
| 24 |
+
- type: map_at_3
|
| 25 |
+
value: 24.395
|
| 26 |
+
- type: map_at_5
|
| 27 |
+
value: 27.137
|
| 28 |
+
- type: mrr_at_1
|
| 29 |
+
value: 17.923000000000002
|
| 30 |
+
- type: mrr_at_10
|
| 31 |
+
value: 29.695
|
| 32 |
+
- type: mrr_at_100
|
| 33 |
+
value: 31.098
|
| 34 |
+
- type: mrr_at_1000
|
| 35 |
+
value: 31.128
|
| 36 |
+
- type: mrr_at_3
|
| 37 |
+
value: 24.704
|
| 38 |
+
- type: mrr_at_5
|
| 39 |
+
value: 27.449
|
| 40 |
+
- type: ndcg_at_1
|
| 41 |
+
value: 17.07
|
| 42 |
+
- type: ndcg_at_10
|
| 43 |
+
value: 37.269000000000005
|
| 44 |
+
- type: ndcg_at_100
|
| 45 |
+
value: 43.716
|
| 46 |
+
- type: ndcg_at_1000
|
| 47 |
+
value: 44.531
|
| 48 |
+
- type: ndcg_at_3
|
| 49 |
+
value: 26.839000000000002
|
| 50 |
+
- type: ndcg_at_5
|
| 51 |
+
value: 31.845000000000002
|
| 52 |
+
- type: precision_at_1
|
| 53 |
+
value: 17.07
|
| 54 |
+
- type: precision_at_10
|
| 55 |
+
value: 6.3020000000000005
|
| 56 |
+
- type: precision_at_100
|
| 57 |
+
value: 0.922
|
| 58 |
+
- type: precision_at_1000
|
| 59 |
+
value: 0.099
|
| 60 |
+
- type: precision_at_3
|
| 61 |
+
value: 11.309
|
| 62 |
+
- type: precision_at_5
|
| 63 |
+
value: 9.246
|
| 64 |
+
- type: recall_at_1
|
| 65 |
+
value: 17.07
|
| 66 |
+
- type: recall_at_10
|
| 67 |
+
value: 63.016000000000005
|
| 68 |
+
- type: recall_at_100
|
| 69 |
+
value: 92.24799999999999
|
| 70 |
+
- type: recall_at_1000
|
| 71 |
+
value: 98.72
|
| 72 |
+
- type: recall_at_3
|
| 73 |
+
value: 33.926
|
| 74 |
+
- type: recall_at_5
|
| 75 |
+
value: 46.23
|
| 76 |
+
- task:
|
| 77 |
+
type: Reranking
|
| 78 |
+
dataset:
|
| 79 |
+
type: mteb/askubuntudupquestions-reranking
|
| 80 |
+
name: MTEB AskUbuntuDupQuestions
|
| 81 |
+
config: default
|
| 82 |
+
split: test
|
| 83 |
+
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
|
| 84 |
+
metrics:
|
| 85 |
+
- type: map
|
| 86 |
+
value: 53.44266265900711
|
| 87 |
+
- type: mrr
|
| 88 |
+
value: 66.54695950402322
|
| 89 |
+
- task:
|
| 90 |
+
type: STS
|
| 91 |
+
dataset:
|
| 92 |
+
type: mteb/biosses-sts
|
| 93 |
+
name: MTEB BIOSSES
|
| 94 |
+
config: default
|
| 95 |
+
split: test
|
| 96 |
+
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
|
| 97 |
+
metrics:
|
| 98 |
+
- type: cos_sim_pearson
|
| 99 |
+
value: 75.9652953730204
|
| 100 |
+
- type: cos_sim_spearman
|
| 101 |
+
value: 73.96554077670989
|
| 102 |
+
- type: euclidean_pearson
|
| 103 |
+
value: 75.68477255792381
|
| 104 |
+
- type: euclidean_spearman
|
| 105 |
+
value: 74.59447076995703
|
| 106 |
+
- type: manhattan_pearson
|
| 107 |
+
value: 75.94984623881341
|
| 108 |
+
- type: manhattan_spearman
|
| 109 |
+
value: 74.72218452337502
|
| 110 |
+
- task:
|
| 111 |
+
type: Retrieval
|
| 112 |
+
dataset:
|
| 113 |
+
type: BeIR/cqadupstack
|
| 114 |
+
name: MTEB CQADupstackAndroidRetrieval
|
| 115 |
+
config: default
|
| 116 |
+
split: test
|
| 117 |
+
revision: None
|
| 118 |
+
metrics:
|
| 119 |
+
- type: map_at_1
|
| 120 |
+
value: 14.119000000000002
|
| 121 |
+
- type: map_at_10
|
| 122 |
+
value: 19.661
|
| 123 |
+
- type: map_at_100
|
| 124 |
+
value: 20.706
|
| 125 |
+
- type: map_at_1000
|
| 126 |
+
value: 20.848
|
| 127 |
+
- type: map_at_3
|
| 128 |
+
value: 17.759
|
| 129 |
+
- type: map_at_5
|
| 130 |
+
value: 18.645
|
| 131 |
+
- type: mrr_at_1
|
| 132 |
+
value: 17.166999999999998
|
| 133 |
+
- type: mrr_at_10
|
| 134 |
+
value: 23.313
|
| 135 |
+
- type: mrr_at_100
|
| 136 |
+
value: 24.263
|
| 137 |
+
- type: mrr_at_1000
|
| 138 |
+
value: 24.352999999999998
|
| 139 |
+
- type: mrr_at_3
|
| 140 |
+
value: 21.412
|
| 141 |
+
- type: mrr_at_5
|
| 142 |
+
value: 22.313
|
| 143 |
+
- type: ndcg_at_1
|
| 144 |
+
value: 17.166999999999998
|
| 145 |
+
- type: ndcg_at_10
|
| 146 |
+
value: 23.631
|
| 147 |
+
- type: ndcg_at_100
|
| 148 |
+
value: 28.427000000000003
|
| 149 |
+
- type: ndcg_at_1000
|
| 150 |
+
value: 31.862000000000002
|
| 151 |
+
- type: ndcg_at_3
|
| 152 |
+
value: 20.175
|
| 153 |
+
- type: ndcg_at_5
|
| 154 |
+
value: 21.397
|
| 155 |
+
- type: precision_at_1
|
| 156 |
+
value: 17.166999999999998
|
| 157 |
+
- type: precision_at_10
|
| 158 |
+
value: 4.549
|
| 159 |
+
- type: precision_at_100
|
| 160 |
+
value: 0.8370000000000001
|
| 161 |
+
- type: precision_at_1000
|
| 162 |
+
value: 0.136
|
| 163 |
+
- type: precision_at_3
|
| 164 |
+
value: 9.68
|
| 165 |
+
- type: precision_at_5
|
| 166 |
+
value: 6.981
|
| 167 |
+
- type: recall_at_1
|
| 168 |
+
value: 14.119000000000002
|
| 169 |
+
- type: recall_at_10
|
| 170 |
+
value: 32.147999999999996
|
| 171 |
+
- type: recall_at_100
|
| 172 |
+
value: 52.739999999999995
|
| 173 |
+
- type: recall_at_1000
|
| 174 |
+
value: 76.67
|
| 175 |
+
- type: recall_at_3
|
| 176 |
+
value: 22.019
|
| 177 |
+
- type: recall_at_5
|
| 178 |
+
value: 25.361
|
| 179 |
+
- task:
|
| 180 |
+
type: Retrieval
|
| 181 |
+
dataset:
|
| 182 |
+
type: BeIR/cqadupstack
|
| 183 |
+
name: MTEB CQADupstackEnglishRetrieval
|
| 184 |
+
config: default
|
| 185 |
+
split: test
|
| 186 |
+
revision: None
|
| 187 |
+
metrics:
|
| 188 |
+
- type: map_at_1
|
| 189 |
+
value: 16.576
|
| 190 |
+
- type: map_at_10
|
| 191 |
+
value: 22.281000000000002
|
| 192 |
+
- type: map_at_100
|
| 193 |
+
value: 23.066
|
| 194 |
+
- type: map_at_1000
|
| 195 |
+
value: 23.166
|
| 196 |
+
- type: map_at_3
|
| 197 |
+
value: 20.385
|
| 198 |
+
- type: map_at_5
|
| 199 |
+
value: 21.557000000000002
|
| 200 |
+
- type: mrr_at_1
|
| 201 |
+
value: 20.892
|
| 202 |
+
- type: mrr_at_10
|
| 203 |
+
value: 26.605
|
| 204 |
+
- type: mrr_at_100
|
| 205 |
+
value: 27.229
|
| 206 |
+
- type: mrr_at_1000
|
| 207 |
+
value: 27.296
|
| 208 |
+
- type: mrr_at_3
|
| 209 |
+
value: 24.809
|
| 210 |
+
- type: mrr_at_5
|
| 211 |
+
value: 25.927
|
| 212 |
+
- type: ndcg_at_1
|
| 213 |
+
value: 20.892
|
| 214 |
+
- type: ndcg_at_10
|
| 215 |
+
value: 26.092
|
| 216 |
+
- type: ndcg_at_100
|
| 217 |
+
value: 29.398999999999997
|
| 218 |
+
- type: ndcg_at_1000
|
| 219 |
+
value: 31.884
|
| 220 |
+
- type: ndcg_at_3
|
| 221 |
+
value: 23.032
|
| 222 |
+
- type: ndcg_at_5
|
| 223 |
+
value: 24.634
|
| 224 |
+
- type: precision_at_1
|
| 225 |
+
value: 20.892
|
| 226 |
+
- type: precision_at_10
|
| 227 |
+
value: 4.885
|
| 228 |
+
- type: precision_at_100
|
| 229 |
+
value: 0.818
|
| 230 |
+
- type: precision_at_1000
|
| 231 |
+
value: 0.126
|
| 232 |
+
- type: precision_at_3
|
| 233 |
+
value: 10.977
|
| 234 |
+
- type: precision_at_5
|
| 235 |
+
value: 8.013
|
| 236 |
+
- type: recall_at_1
|
| 237 |
+
value: 16.576
|
| 238 |
+
- type: recall_at_10
|
| 239 |
+
value: 32.945
|
| 240 |
+
- type: recall_at_100
|
| 241 |
+
value: 47.337
|
| 242 |
+
- type: recall_at_1000
|
| 243 |
+
value: 64.592
|
| 244 |
+
- type: recall_at_3
|
| 245 |
+
value: 24.053
|
| 246 |
+
- type: recall_at_5
|
| 247 |
+
value: 28.465
|
| 248 |
+
- task:
|
| 249 |
+
type: Retrieval
|
| 250 |
+
dataset:
|
| 251 |
+
type: BeIR/cqadupstack
|
| 252 |
+
name: MTEB CQADupstackGamingRetrieval
|
| 253 |
+
config: default
|
| 254 |
+
split: test
|
| 255 |
+
revision: None
|
| 256 |
+
metrics:
|
| 257 |
+
- type: map_at_1
|
| 258 |
+
value: 20.604
|
| 259 |
+
- type: map_at_10
|
| 260 |
+
value: 28.754999999999995
|
| 261 |
+
- type: map_at_100
|
| 262 |
+
value: 29.767
|
| 263 |
+
- type: map_at_1000
|
| 264 |
+
value: 29.852
|
| 265 |
+
- type: map_at_3
|
| 266 |
+
value: 26.268
|
| 267 |
+
- type: map_at_5
|
| 268 |
+
value: 27.559
|
| 269 |
+
- type: mrr_at_1
|
| 270 |
+
value: 24.326
|
| 271 |
+
- type: mrr_at_10
|
| 272 |
+
value: 31.602000000000004
|
| 273 |
+
- type: mrr_at_100
|
| 274 |
+
value: 32.46
|
| 275 |
+
- type: mrr_at_1000
|
| 276 |
+
value: 32.521
|
| 277 |
+
- type: mrr_at_3
|
| 278 |
+
value: 29.415000000000003
|
| 279 |
+
- type: mrr_at_5
|
| 280 |
+
value: 30.581000000000003
|
| 281 |
+
- type: ndcg_at_1
|
| 282 |
+
value: 24.326
|
| 283 |
+
- type: ndcg_at_10
|
| 284 |
+
value: 33.335
|
| 285 |
+
- type: ndcg_at_100
|
| 286 |
+
value: 38.086
|
| 287 |
+
- type: ndcg_at_1000
|
| 288 |
+
value: 40.319
|
| 289 |
+
- type: ndcg_at_3
|
| 290 |
+
value: 28.796
|
| 291 |
+
- type: ndcg_at_5
|
| 292 |
+
value: 30.758999999999997
|
| 293 |
+
- type: precision_at_1
|
| 294 |
+
value: 24.326
|
| 295 |
+
- type: precision_at_10
|
| 296 |
+
value: 5.712
|
| 297 |
+
- type: precision_at_100
|
| 298 |
+
value: 0.893
|
| 299 |
+
- type: precision_at_1000
|
| 300 |
+
value: 0.11499999999999999
|
| 301 |
+
- type: precision_at_3
|
| 302 |
+
value: 13.208
|
| 303 |
+
- type: precision_at_5
|
| 304 |
+
value: 9.329
|
| 305 |
+
- type: recall_at_1
|
| 306 |
+
value: 20.604
|
| 307 |
+
- type: recall_at_10
|
| 308 |
+
value: 44.505
|
| 309 |
+
- type: recall_at_100
|
| 310 |
+
value: 65.866
|
| 311 |
+
- type: recall_at_1000
|
| 312 |
+
value: 82.61800000000001
|
| 313 |
+
- type: recall_at_3
|
| 314 |
+
value: 31.794
|
| 315 |
+
- type: recall_at_5
|
| 316 |
+
value: 36.831
|
| 317 |
+
- task:
|
| 318 |
+
type: Retrieval
|
| 319 |
+
dataset:
|
| 320 |
+
type: BeIR/cqadupstack
|
| 321 |
+
name: MTEB CQADupstackGisRetrieval
|
| 322 |
+
config: default
|
| 323 |
+
split: test
|
| 324 |
+
revision: None
|
| 325 |
+
metrics:
|
| 326 |
+
- type: map_at_1
|
| 327 |
+
value: 8.280999999999999
|
| 328 |
+
- type: map_at_10
|
| 329 |
+
value: 11.636000000000001
|
| 330 |
+
- type: map_at_100
|
| 331 |
+
value: 12.363
|
| 332 |
+
- type: map_at_1000
|
| 333 |
+
value: 12.469
|
| 334 |
+
- type: map_at_3
|
| 335 |
+
value: 10.415000000000001
|
| 336 |
+
- type: map_at_5
|
| 337 |
+
value: 11.144
|
| 338 |
+
- type: mrr_at_1
|
| 339 |
+
value: 9.266
|
| 340 |
+
- type: mrr_at_10
|
| 341 |
+
value: 12.838
|
| 342 |
+
- type: mrr_at_100
|
| 343 |
+
value: 13.608999999999998
|
| 344 |
+
- type: mrr_at_1000
|
| 345 |
+
value: 13.700999999999999
|
| 346 |
+
- type: mrr_at_3
|
| 347 |
+
value: 11.507000000000001
|
| 348 |
+
- type: mrr_at_5
|
| 349 |
+
value: 12.343
|
| 350 |
+
- type: ndcg_at_1
|
| 351 |
+
value: 9.266
|
| 352 |
+
- type: ndcg_at_10
|
| 353 |
+
value: 13.877
|
| 354 |
+
- type: ndcg_at_100
|
| 355 |
+
value: 18.119
|
| 356 |
+
- type: ndcg_at_1000
|
| 357 |
+
value: 21.247
|
| 358 |
+
- type: ndcg_at_3
|
| 359 |
+
value: 11.376999999999999
|
| 360 |
+
- type: ndcg_at_5
|
| 361 |
+
value: 12.675
|
| 362 |
+
- type: precision_at_1
|
| 363 |
+
value: 9.266
|
| 364 |
+
- type: precision_at_10
|
| 365 |
+
value: 2.226
|
| 366 |
+
- type: precision_at_100
|
| 367 |
+
value: 0.47200000000000003
|
| 368 |
+
- type: precision_at_1000
|
| 369 |
+
value: 0.077
|
| 370 |
+
- type: precision_at_3
|
| 371 |
+
value: 4.859
|
| 372 |
+
- type: precision_at_5
|
| 373 |
+
value: 3.6380000000000003
|
| 374 |
+
- type: recall_at_1
|
| 375 |
+
value: 8.280999999999999
|
| 376 |
+
- type: recall_at_10
|
| 377 |
+
value: 19.872999999999998
|
| 378 |
+
- type: recall_at_100
|
| 379 |
+
value: 40.585
|
| 380 |
+
- type: recall_at_1000
|
| 381 |
+
value: 65.225
|
| 382 |
+
- type: recall_at_3
|
| 383 |
+
value: 13.014000000000001
|
| 384 |
+
- type: recall_at_5
|
| 385 |
+
value: 16.147
|
| 386 |
+
- task:
|
| 387 |
+
type: Retrieval
|
| 388 |
+
dataset:
|
| 389 |
+
type: BeIR/cqadupstack
|
| 390 |
+
name: MTEB CQADupstackMathematicaRetrieval
|
| 391 |
+
config: default
|
| 392 |
+
split: test
|
| 393 |
+
revision: None
|
| 394 |
+
metrics:
|
| 395 |
+
- type: map_at_1
|
| 396 |
+
value: 4.1209999999999996
|
| 397 |
+
- type: map_at_10
|
| 398 |
+
value: 7.272
|
| 399 |
+
- type: map_at_100
|
| 400 |
+
value: 8.079
|
| 401 |
+
- type: map_at_1000
|
| 402 |
+
value: 8.199
|
| 403 |
+
- type: map_at_3
|
| 404 |
+
value: 6.212
|
| 405 |
+
- type: map_at_5
|
| 406 |
+
value: 6.736000000000001
|
| 407 |
+
- type: mrr_at_1
|
| 408 |
+
value: 5.721
|
| 409 |
+
- type: mrr_at_10
|
| 410 |
+
value: 9.418
|
| 411 |
+
- type: mrr_at_100
|
| 412 |
+
value: 10.281
|
| 413 |
+
- type: mrr_at_1000
|
| 414 |
+
value: 10.385
|
| 415 |
+
- type: mrr_at_3
|
| 416 |
+
value: 8.126
|
| 417 |
+
- type: mrr_at_5
|
| 418 |
+
value: 8.779
|
| 419 |
+
- type: ndcg_at_1
|
| 420 |
+
value: 5.721
|
| 421 |
+
- type: ndcg_at_10
|
| 422 |
+
value: 9.673
|
| 423 |
+
- type: ndcg_at_100
|
| 424 |
+
value: 13.852999999999998
|
| 425 |
+
- type: ndcg_at_1000
|
| 426 |
+
value: 17.546999999999997
|
| 427 |
+
- type: ndcg_at_3
|
| 428 |
+
value: 7.509
|
| 429 |
+
- type: ndcg_at_5
|
| 430 |
+
value: 8.373
|
| 431 |
+
- type: precision_at_1
|
| 432 |
+
value: 5.721
|
| 433 |
+
- type: precision_at_10
|
| 434 |
+
value: 2.04
|
| 435 |
+
- type: precision_at_100
|
| 436 |
+
value: 0.48
|
| 437 |
+
- type: precision_at_1000
|
| 438 |
+
value: 0.093
|
| 439 |
+
- type: precision_at_3
|
| 440 |
+
value: 4.022
|
| 441 |
+
- type: precision_at_5
|
| 442 |
+
value: 3.06
|
| 443 |
+
- type: recall_at_1
|
| 444 |
+
value: 4.1209999999999996
|
| 445 |
+
- type: recall_at_10
|
| 446 |
+
value: 15.201
|
| 447 |
+
- type: recall_at_100
|
| 448 |
+
value: 33.922999999999995
|
| 449 |
+
- type: recall_at_1000
|
| 450 |
+
value: 61.529999999999994
|
| 451 |
+
- type: recall_at_3
|
| 452 |
+
value: 8.869
|
| 453 |
+
- type: recall_at_5
|
| 454 |
+
value: 11.257
|
| 455 |
+
- task:
|
| 456 |
+
type: Retrieval
|
| 457 |
+
dataset:
|
| 458 |
+
type: BeIR/cqadupstack
|
| 459 |
+
name: MTEB CQADupstackPhysicsRetrieval
|
| 460 |
+
config: default
|
| 461 |
+
split: test
|
| 462 |
+
revision: None
|
| 463 |
+
metrics:
|
| 464 |
+
- type: map_at_1
|
| 465 |
+
value: 14.09
|
| 466 |
+
- type: map_at_10
|
| 467 |
+
value: 19.573999999999998
|
| 468 |
+
- type: map_at_100
|
| 469 |
+
value: 20.580000000000002
|
| 470 |
+
- type: map_at_1000
|
| 471 |
+
value: 20.704
|
| 472 |
+
- type: map_at_3
|
| 473 |
+
value: 17.68
|
| 474 |
+
- type: map_at_5
|
| 475 |
+
value: 18.64
|
| 476 |
+
- type: mrr_at_1
|
| 477 |
+
value: 17.227999999999998
|
| 478 |
+
- type: mrr_at_10
|
| 479 |
+
value: 23.152
|
| 480 |
+
- type: mrr_at_100
|
| 481 |
+
value: 24.056
|
| 482 |
+
- type: mrr_at_1000
|
| 483 |
+
value: 24.141000000000002
|
| 484 |
+
- type: mrr_at_3
|
| 485 |
+
value: 21.142
|
| 486 |
+
- type: mrr_at_5
|
| 487 |
+
value: 22.201
|
| 488 |
+
- type: ndcg_at_1
|
| 489 |
+
value: 17.227999999999998
|
| 490 |
+
- type: ndcg_at_10
|
| 491 |
+
value: 23.39
|
| 492 |
+
- type: ndcg_at_100
|
| 493 |
+
value: 28.483999999999998
|
| 494 |
+
- type: ndcg_at_1000
|
| 495 |
+
value: 31.709
|
| 496 |
+
- type: ndcg_at_3
|
| 497 |
+
value: 19.883
|
| 498 |
+
- type: ndcg_at_5
|
| 499 |
+
value: 21.34
|
| 500 |
+
- type: precision_at_1
|
| 501 |
+
value: 17.227999999999998
|
| 502 |
+
- type: precision_at_10
|
| 503 |
+
value: 4.3790000000000004
|
| 504 |
+
- type: precision_at_100
|
| 505 |
+
value: 0.826
|
| 506 |
+
- type: precision_at_1000
|
| 507 |
+
value: 0.128
|
| 508 |
+
- type: precision_at_3
|
| 509 |
+
value: 9.496
|
| 510 |
+
- type: precision_at_5
|
| 511 |
+
value: 6.872
|
| 512 |
+
- type: recall_at_1
|
| 513 |
+
value: 14.09
|
| 514 |
+
- type: recall_at_10
|
| 515 |
+
value: 31.580000000000002
|
| 516 |
+
- type: recall_at_100
|
| 517 |
+
value: 54.074
|
| 518 |
+
- type: recall_at_1000
|
| 519 |
+
value: 77.092
|
| 520 |
+
- type: recall_at_3
|
| 521 |
+
value: 21.601
|
| 522 |
+
- type: recall_at_5
|
| 523 |
+
value: 25.333
|
| 524 |
+
- task:
|
| 525 |
+
type: Retrieval
|
| 526 |
+
dataset:
|
| 527 |
+
type: BeIR/cqadupstack
|
| 528 |
+
name: MTEB CQADupstackProgrammersRetrieval
|
| 529 |
+
config: default
|
| 530 |
+
split: test
|
| 531 |
+
revision: None
|
| 532 |
+
metrics:
|
| 533 |
+
- type: map_at_1
|
| 534 |
+
value: 10.538
|
| 535 |
+
- type: map_at_10
|
| 536 |
+
value: 15.75
|
| 537 |
+
- type: map_at_100
|
| 538 |
+
value: 16.71
|
| 539 |
+
- type: map_at_1000
|
| 540 |
+
value: 16.838
|
| 541 |
+
- type: map_at_3
|
| 542 |
+
value: 13.488
|
| 543 |
+
- type: map_at_5
|
| 544 |
+
value: 14.712
|
| 545 |
+
- type: mrr_at_1
|
| 546 |
+
value: 13.813
|
| 547 |
+
- type: mrr_at_10
|
| 548 |
+
value: 19.08
|
| 549 |
+
- type: mrr_at_100
|
| 550 |
+
value: 19.946
|
| 551 |
+
- type: mrr_at_1000
|
| 552 |
+
value: 20.044
|
| 553 |
+
- type: mrr_at_3
|
| 554 |
+
value: 16.838
|
| 555 |
+
- type: mrr_at_5
|
| 556 |
+
value: 17.951
|
| 557 |
+
- type: ndcg_at_1
|
| 558 |
+
value: 13.813
|
| 559 |
+
- type: ndcg_at_10
|
| 560 |
+
value: 19.669
|
| 561 |
+
- type: ndcg_at_100
|
| 562 |
+
value: 24.488
|
| 563 |
+
- type: ndcg_at_1000
|
| 564 |
+
value: 27.87
|
| 565 |
+
- type: ndcg_at_3
|
| 566 |
+
value: 15.479000000000001
|
| 567 |
+
- type: ndcg_at_5
|
| 568 |
+
value: 17.229
|
| 569 |
+
- type: precision_at_1
|
| 570 |
+
value: 13.813
|
| 571 |
+
- type: precision_at_10
|
| 572 |
+
value: 3.916
|
| 573 |
+
- type: precision_at_100
|
| 574 |
+
value: 0.743
|
| 575 |
+
- type: precision_at_1000
|
| 576 |
+
value: 0.122
|
| 577 |
+
- type: precision_at_3
|
| 578 |
+
value: 7.534000000000001
|
| 579 |
+
- type: precision_at_5
|
| 580 |
+
value: 5.822
|
| 581 |
+
- type: recall_at_1
|
| 582 |
+
value: 10.538
|
| 583 |
+
- type: recall_at_10
|
| 584 |
+
value: 28.693
|
| 585 |
+
- type: recall_at_100
|
| 586 |
+
value: 50.308
|
| 587 |
+
- type: recall_at_1000
|
| 588 |
+
value: 74.44
|
| 589 |
+
- type: recall_at_3
|
| 590 |
+
value: 16.866999999999997
|
| 591 |
+
- type: recall_at_5
|
| 592 |
+
value: 21.404999999999998
|
| 593 |
+
- task:
|
| 594 |
+
type: Retrieval
|
| 595 |
+
dataset:
|
| 596 |
+
type: BeIR/cqadupstack
|
| 597 |
+
name: MTEB CQADupstackRetrieval
|
| 598 |
+
config: default
|
| 599 |
+
split: test
|
| 600 |
+
revision: None
|
| 601 |
+
metrics:
|
| 602 |
+
- type: map_at_1
|
| 603 |
+
value: 11.044583333333332
|
| 604 |
+
- type: map_at_10
|
| 605 |
+
value: 15.682833333333335
|
| 606 |
+
- type: map_at_100
|
| 607 |
+
value: 16.506500000000003
|
| 608 |
+
- type: map_at_1000
|
| 609 |
+
value: 16.623833333333334
|
| 610 |
+
- type: map_at_3
|
| 611 |
+
value: 14.130833333333333
|
| 612 |
+
- type: map_at_5
|
| 613 |
+
value: 14.963583333333332
|
| 614 |
+
- type: mrr_at_1
|
| 615 |
+
value: 13.482833333333332
|
| 616 |
+
- type: mrr_at_10
|
| 617 |
+
value: 18.328500000000002
|
| 618 |
+
- type: mrr_at_100
|
| 619 |
+
value: 19.095416666666665
|
| 620 |
+
- type: mrr_at_1000
|
| 621 |
+
value: 19.18241666666666
|
| 622 |
+
- type: mrr_at_3
|
| 623 |
+
value: 16.754749999999998
|
| 624 |
+
- type: mrr_at_5
|
| 625 |
+
value: 17.614749999999997
|
| 626 |
+
- type: ndcg_at_1
|
| 627 |
+
value: 13.482833333333332
|
| 628 |
+
- type: ndcg_at_10
|
| 629 |
+
value: 18.81491666666667
|
| 630 |
+
- type: ndcg_at_100
|
| 631 |
+
value: 22.946833333333334
|
| 632 |
+
- type: ndcg_at_1000
|
| 633 |
+
value: 26.061083333333336
|
| 634 |
+
- type: ndcg_at_3
|
| 635 |
+
value: 15.949333333333332
|
| 636 |
+
- type: ndcg_at_5
|
| 637 |
+
value: 17.218333333333334
|
| 638 |
+
- type: precision_at_1
|
| 639 |
+
value: 13.482833333333332
|
| 640 |
+
- type: precision_at_10
|
| 641 |
+
value: 3.456583333333333
|
| 642 |
+
- type: precision_at_100
|
| 643 |
+
value: 0.6599166666666666
|
| 644 |
+
- type: precision_at_1000
|
| 645 |
+
value: 0.109
|
| 646 |
+
- type: precision_at_3
|
| 647 |
+
value: 7.498833333333332
|
| 648 |
+
- type: precision_at_5
|
| 649 |
+
value: 5.477166666666667
|
| 650 |
+
- type: recall_at_1
|
| 651 |
+
value: 11.044583333333332
|
| 652 |
+
- type: recall_at_10
|
| 653 |
+
value: 25.737750000000005
|
| 654 |
+
- type: recall_at_100
|
| 655 |
+
value: 44.617916666666666
|
| 656 |
+
- type: recall_at_1000
|
| 657 |
+
value: 67.56524999999999
|
| 658 |
+
- type: recall_at_3
|
| 659 |
+
value: 17.598249999999997
|
| 660 |
+
- type: recall_at_5
|
| 661 |
+
value: 20.9035
|
| 662 |
+
- task:
|
| 663 |
+
type: Retrieval
|
| 664 |
+
dataset:
|
| 665 |
+
type: BeIR/cqadupstack
|
| 666 |
+
name: MTEB CQADupstackStatsRetrieval
|
| 667 |
+
config: default
|
| 668 |
+
split: test
|
| 669 |
+
revision: None
|
| 670 |
+
metrics:
|
| 671 |
+
- type: map_at_1
|
| 672 |
+
value: 9.362
|
| 673 |
+
- type: map_at_10
|
| 674 |
+
value: 13.414000000000001
|
| 675 |
+
- type: map_at_100
|
| 676 |
+
value: 14.083000000000002
|
| 677 |
+
- type: map_at_1000
|
| 678 |
+
value: 14.168
|
| 679 |
+
- type: map_at_3
|
| 680 |
+
value: 12.098
|
| 681 |
+
- type: map_at_5
|
| 682 |
+
value: 12.803999999999998
|
| 683 |
+
- type: mrr_at_1
|
| 684 |
+
value: 11.043
|
| 685 |
+
- type: mrr_at_10
|
| 686 |
+
value: 15.158
|
| 687 |
+
- type: mrr_at_100
|
| 688 |
+
value: 15.845999999999998
|
| 689 |
+
- type: mrr_at_1000
|
| 690 |
+
value: 15.916
|
| 691 |
+
- type: mrr_at_3
|
| 692 |
+
value: 13.88
|
| 693 |
+
- type: mrr_at_5
|
| 694 |
+
value: 14.601
|
| 695 |
+
- type: ndcg_at_1
|
| 696 |
+
value: 11.043
|
| 697 |
+
- type: ndcg_at_10
|
| 698 |
+
value: 16.034000000000002
|
| 699 |
+
- type: ndcg_at_100
|
| 700 |
+
value: 19.686
|
| 701 |
+
- type: ndcg_at_1000
|
| 702 |
+
value: 22.188
|
| 703 |
+
- type: ndcg_at_3
|
| 704 |
+
value: 13.530000000000001
|
| 705 |
+
- type: ndcg_at_5
|
| 706 |
+
value: 14.704
|
| 707 |
+
- type: precision_at_1
|
| 708 |
+
value: 11.043
|
| 709 |
+
- type: precision_at_10
|
| 710 |
+
value: 2.791
|
| 711 |
+
- type: precision_at_100
|
| 712 |
+
value: 0.5
|
| 713 |
+
- type: precision_at_1000
|
| 714 |
+
value: 0.077
|
| 715 |
+
- type: precision_at_3
|
| 716 |
+
value: 6.237
|
| 717 |
+
- type: precision_at_5
|
| 718 |
+
value: 4.5089999999999995
|
| 719 |
+
- type: recall_at_1
|
| 720 |
+
value: 9.362
|
| 721 |
+
- type: recall_at_10
|
| 722 |
+
value: 22.396
|
| 723 |
+
- type: recall_at_100
|
| 724 |
+
value: 39.528999999999996
|
| 725 |
+
- type: recall_at_1000
|
| 726 |
+
value: 58.809
|
| 727 |
+
- type: recall_at_3
|
| 728 |
+
value: 15.553
|
| 729 |
+
- type: recall_at_5
|
| 730 |
+
value: 18.512
|
| 731 |
+
- task:
|
| 732 |
+
type: Retrieval
|
| 733 |
+
dataset:
|
| 734 |
+
type: BeIR/cqadupstack
|
| 735 |
+
name: MTEB CQADupstackTexRetrieval
|
| 736 |
+
config: default
|
| 737 |
+
split: test
|
| 738 |
+
revision: None
|
| 739 |
+
metrics:
|
| 740 |
+
- type: map_at_1
|
| 741 |
+
value: 5.657
|
| 742 |
+
- type: map_at_10
|
| 743 |
+
value: 8.273
|
| 744 |
+
- type: map_at_100
|
| 745 |
+
value: 8.875
|
| 746 |
+
- type: map_at_1000
|
| 747 |
+
value: 8.977
|
| 748 |
+
- type: map_at_3
|
| 749 |
+
value: 7.32
|
| 750 |
+
- type: map_at_5
|
| 751 |
+
value: 7.792000000000001
|
| 752 |
+
- type: mrr_at_1
|
| 753 |
+
value: 7.02
|
| 754 |
+
- type: mrr_at_10
|
| 755 |
+
value: 9.966999999999999
|
| 756 |
+
- type: mrr_at_100
|
| 757 |
+
value: 10.636
|
| 758 |
+
- type: mrr_at_1000
|
| 759 |
+
value: 10.724
|
| 760 |
+
- type: mrr_at_3
|
| 761 |
+
value: 8.872
|
| 762 |
+
- type: mrr_at_5
|
| 763 |
+
value: 9.461
|
| 764 |
+
- type: ndcg_at_1
|
| 765 |
+
value: 7.02
|
| 766 |
+
- type: ndcg_at_10
|
| 767 |
+
value: 10.199
|
| 768 |
+
- type: ndcg_at_100
|
| 769 |
+
value: 13.642000000000001
|
| 770 |
+
- type: ndcg_at_1000
|
| 771 |
+
value: 16.643
|
| 772 |
+
- type: ndcg_at_3
|
| 773 |
+
value: 8.333
|
| 774 |
+
- type: ndcg_at_5
|
| 775 |
+
value: 9.103
|
| 776 |
+
- type: precision_at_1
|
| 777 |
+
value: 7.02
|
| 778 |
+
- type: precision_at_10
|
| 779 |
+
value: 1.8929999999999998
|
| 780 |
+
- type: precision_at_100
|
| 781 |
+
value: 0.43
|
| 782 |
+
- type: precision_at_1000
|
| 783 |
+
value: 0.08099999999999999
|
| 784 |
+
- type: precision_at_3
|
| 785 |
+
value: 3.843
|
| 786 |
+
- type: precision_at_5
|
| 787 |
+
value: 2.884
|
| 788 |
+
- type: recall_at_1
|
| 789 |
+
value: 5.657
|
| 790 |
+
- type: recall_at_10
|
| 791 |
+
value: 14.563
|
| 792 |
+
- type: recall_at_100
|
| 793 |
+
value: 30.807000000000002
|
| 794 |
+
- type: recall_at_1000
|
| 795 |
+
value: 53.251000000000005
|
| 796 |
+
- type: recall_at_3
|
| 797 |
+
value: 9.272
|
| 798 |
+
- type: recall_at_5
|
| 799 |
+
value: 11.202
|
| 800 |
+
- task:
|
| 801 |
+
type: Retrieval
|
| 802 |
+
dataset:
|
| 803 |
+
type: BeIR/cqadupstack
|
| 804 |
+
name: MTEB CQADupstackUnixRetrieval
|
| 805 |
+
config: default
|
| 806 |
+
split: test
|
| 807 |
+
revision: None
|
| 808 |
+
metrics:
|
| 809 |
+
- type: map_at_1
|
| 810 |
+
value: 10.671999999999999
|
| 811 |
+
- type: map_at_10
|
| 812 |
+
value: 14.651
|
| 813 |
+
- type: map_at_100
|
| 814 |
+
value: 15.406
|
| 815 |
+
- type: map_at_1000
|
| 816 |
+
value: 15.525
|
| 817 |
+
- type: map_at_3
|
| 818 |
+
value: 13.461
|
| 819 |
+
- type: map_at_5
|
| 820 |
+
value: 14.163
|
| 821 |
+
- type: mrr_at_1
|
| 822 |
+
value: 12.407
|
| 823 |
+
- type: mrr_at_10
|
| 824 |
+
value: 16.782
|
| 825 |
+
- type: mrr_at_100
|
| 826 |
+
value: 17.562
|
| 827 |
+
- type: mrr_at_1000
|
| 828 |
+
value: 17.653
|
| 829 |
+
- type: mrr_at_3
|
| 830 |
+
value: 15.47
|
| 831 |
+
- type: mrr_at_5
|
| 832 |
+
value: 16.262
|
| 833 |
+
- type: ndcg_at_1
|
| 834 |
+
value: 12.407
|
| 835 |
+
- type: ndcg_at_10
|
| 836 |
+
value: 17.251
|
| 837 |
+
- type: ndcg_at_100
|
| 838 |
+
value: 21.378
|
| 839 |
+
- type: ndcg_at_1000
|
| 840 |
+
value: 24.689
|
| 841 |
+
- type: ndcg_at_3
|
| 842 |
+
value: 14.915000000000001
|
| 843 |
+
- type: ndcg_at_5
|
| 844 |
+
value: 16.1
|
| 845 |
+
- type: precision_at_1
|
| 846 |
+
value: 12.407
|
| 847 |
+
- type: precision_at_10
|
| 848 |
+
value: 2.91
|
| 849 |
+
- type: precision_at_100
|
| 850 |
+
value: 0.573
|
| 851 |
+
- type: precision_at_1000
|
| 852 |
+
value: 0.096
|
| 853 |
+
- type: precision_at_3
|
| 854 |
+
value: 6.779
|
| 855 |
+
- type: precision_at_5
|
| 856 |
+
value: 4.888
|
| 857 |
+
- type: recall_at_1
|
| 858 |
+
value: 10.671999999999999
|
| 859 |
+
- type: recall_at_10
|
| 860 |
+
value: 23.099
|
| 861 |
+
- type: recall_at_100
|
| 862 |
+
value: 41.937999999999995
|
| 863 |
+
- type: recall_at_1000
|
| 864 |
+
value: 66.495
|
| 865 |
+
- type: recall_at_3
|
| 866 |
+
value: 16.901
|
| 867 |
+
- type: recall_at_5
|
| 868 |
+
value: 19.807
|
| 869 |
+
- task:
|
| 870 |
+
type: Retrieval
|
| 871 |
+
dataset:
|
| 872 |
+
type: BeIR/cqadupstack
|
| 873 |
+
name: MTEB CQADupstackWebmastersRetrieval
|
| 874 |
+
config: default
|
| 875 |
+
split: test
|
| 876 |
+
revision: None
|
| 877 |
+
metrics:
|
| 878 |
+
- type: map_at_1
|
| 879 |
+
value: 13.364
|
| 880 |
+
- type: map_at_10
|
| 881 |
+
value: 17.772
|
| 882 |
+
- type: map_at_100
|
| 883 |
+
value: 18.659
|
| 884 |
+
- type: map_at_1000
|
| 885 |
+
value: 18.861
|
| 886 |
+
- type: map_at_3
|
| 887 |
+
value: 16.659
|
| 888 |
+
- type: map_at_5
|
| 889 |
+
value: 17.174
|
| 890 |
+
- type: mrr_at_1
|
| 891 |
+
value: 16.996
|
| 892 |
+
- type: mrr_at_10
|
| 893 |
+
value: 21.687
|
| 894 |
+
- type: mrr_at_100
|
| 895 |
+
value: 22.313
|
| 896 |
+
- type: mrr_at_1000
|
| 897 |
+
value: 22.422
|
| 898 |
+
- type: mrr_at_3
|
| 899 |
+
value: 20.652
|
| 900 |
+
- type: mrr_at_5
|
| 901 |
+
value: 21.146
|
| 902 |
+
- type: ndcg_at_1
|
| 903 |
+
value: 16.996
|
| 904 |
+
- type: ndcg_at_10
|
| 905 |
+
value: 21.067
|
| 906 |
+
- type: ndcg_at_100
|
| 907 |
+
value: 24.829
|
| 908 |
+
- type: ndcg_at_1000
|
| 909 |
+
value: 28.866999999999997
|
| 910 |
+
- type: ndcg_at_3
|
| 911 |
+
value: 19.466
|
| 912 |
+
- type: ndcg_at_5
|
| 913 |
+
value: 19.993
|
| 914 |
+
- type: precision_at_1
|
| 915 |
+
value: 16.996
|
| 916 |
+
- type: precision_at_10
|
| 917 |
+
value: 4.071000000000001
|
| 918 |
+
- type: precision_at_100
|
| 919 |
+
value: 0.9329999999999999
|
| 920 |
+
- type: precision_at_1000
|
| 921 |
+
value: 0.183
|
| 922 |
+
- type: precision_at_3
|
| 923 |
+
value: 9.223
|
| 924 |
+
- type: precision_at_5
|
| 925 |
+
value: 6.4030000000000005
|
| 926 |
+
- type: recall_at_1
|
| 927 |
+
value: 13.364
|
| 928 |
+
- type: recall_at_10
|
| 929 |
+
value: 25.976
|
| 930 |
+
- type: recall_at_100
|
| 931 |
+
value: 44.134
|
| 932 |
+
- type: recall_at_1000
|
| 933 |
+
value: 73.181
|
| 934 |
+
- type: recall_at_3
|
| 935 |
+
value: 20.503
|
| 936 |
+
- type: recall_at_5
|
| 937 |
+
value: 22.409000000000002
|
| 938 |
+
- task:
|
| 939 |
+
type: Retrieval
|
| 940 |
+
dataset:
|
| 941 |
+
type: BeIR/cqadupstack
|
| 942 |
+
name: MTEB CQADupstackWordpressRetrieval
|
| 943 |
+
config: default
|
| 944 |
+
split: test
|
| 945 |
+
revision: None
|
| 946 |
+
metrics:
|
| 947 |
+
- type: map_at_1
|
| 948 |
+
value: 5.151
|
| 949 |
+
- type: map_at_10
|
| 950 |
+
value: 9.155000000000001
|
| 951 |
+
- type: map_at_100
|
| 952 |
+
value: 9.783999999999999
|
| 953 |
+
- type: map_at_1000
|
| 954 |
+
value: 9.879
|
| 955 |
+
- type: map_at_3
|
| 956 |
+
value: 7.825
|
| 957 |
+
- type: map_at_5
|
| 958 |
+
value: 8.637
|
| 959 |
+
- type: mrr_at_1
|
| 960 |
+
value: 5.915
|
| 961 |
+
- type: mrr_at_10
|
| 962 |
+
value: 10.34
|
| 963 |
+
- type: mrr_at_100
|
| 964 |
+
value: 10.943999999999999
|
| 965 |
+
- type: mrr_at_1000
|
| 966 |
+
value: 11.033
|
| 967 |
+
- type: mrr_at_3
|
| 968 |
+
value: 8.934000000000001
|
| 969 |
+
- type: mrr_at_5
|
| 970 |
+
value: 9.812
|
| 971 |
+
- type: ndcg_at_1
|
| 972 |
+
value: 5.915
|
| 973 |
+
- type: ndcg_at_10
|
| 974 |
+
value: 11.561
|
| 975 |
+
- type: ndcg_at_100
|
| 976 |
+
value: 14.971
|
| 977 |
+
- type: ndcg_at_1000
|
| 978 |
+
value: 17.907999999999998
|
| 979 |
+
- type: ndcg_at_3
|
| 980 |
+
value: 8.896999999999998
|
| 981 |
+
- type: ndcg_at_5
|
| 982 |
+
value: 10.313
|
| 983 |
+
- type: precision_at_1
|
| 984 |
+
value: 5.915
|
| 985 |
+
- type: precision_at_10
|
| 986 |
+
value: 2.1069999999999998
|
| 987 |
+
- type: precision_at_100
|
| 988 |
+
value: 0.414
|
| 989 |
+
- type: precision_at_1000
|
| 990 |
+
value: 0.074
|
| 991 |
+
- type: precision_at_3
|
| 992 |
+
value: 4.128
|
| 993 |
+
- type: precision_at_5
|
| 994 |
+
value: 3.327
|
| 995 |
+
- type: recall_at_1
|
| 996 |
+
value: 5.151
|
| 997 |
+
- type: recall_at_10
|
| 998 |
+
value: 17.874000000000002
|
| 999 |
+
- type: recall_at_100
|
| 1000 |
+
value: 34.174
|
| 1001 |
+
- type: recall_at_1000
|
| 1002 |
+
value: 56.879999999999995
|
| 1003 |
+
- type: recall_at_3
|
| 1004 |
+
value: 10.732999999999999
|
| 1005 |
+
- type: recall_at_5
|
| 1006 |
+
value: 14.113000000000001
|
| 1007 |
+
- task:
|
| 1008 |
+
type: Retrieval
|
| 1009 |
+
dataset:
|
| 1010 |
+
type: climate-fever
|
| 1011 |
+
name: MTEB ClimateFEVER
|
| 1012 |
+
config: default
|
| 1013 |
+
split: test
|
| 1014 |
+
revision: None
|
| 1015 |
+
metrics:
|
| 1016 |
+
- type: map_at_1
|
| 1017 |
+
value: 3.101
|
| 1018 |
+
- type: map_at_10
|
| 1019 |
+
value: 5.434
|
| 1020 |
+
- type: map_at_100
|
| 1021 |
+
value: 6.267
|
| 1022 |
+
- type: map_at_1000
|
| 1023 |
+
value: 6.418
|
| 1024 |
+
- type: map_at_3
|
| 1025 |
+
value: 4.377000000000001
|
| 1026 |
+
- type: map_at_5
|
| 1027 |
+
value: 4.841
|
| 1028 |
+
- type: mrr_at_1
|
| 1029 |
+
value: 7.166
|
| 1030 |
+
- type: mrr_at_10
|
| 1031 |
+
value: 12.012
|
| 1032 |
+
- type: mrr_at_100
|
| 1033 |
+
value: 13.144
|
| 1034 |
+
- type: mrr_at_1000
|
| 1035 |
+
value: 13.229
|
| 1036 |
+
- type: mrr_at_3
|
| 1037 |
+
value: 9.826
|
| 1038 |
+
- type: mrr_at_5
|
| 1039 |
+
value: 10.921
|
| 1040 |
+
- type: ndcg_at_1
|
| 1041 |
+
value: 7.166
|
| 1042 |
+
- type: ndcg_at_10
|
| 1043 |
+
value: 8.687000000000001
|
| 1044 |
+
- type: ndcg_at_100
|
| 1045 |
+
value: 13.345
|
| 1046 |
+
- type: ndcg_at_1000
|
| 1047 |
+
value: 16.915
|
| 1048 |
+
- type: ndcg_at_3
|
| 1049 |
+
value: 6.276
|
| 1050 |
+
- type: ndcg_at_5
|
| 1051 |
+
value: 7.013
|
| 1052 |
+
- type: precision_at_1
|
| 1053 |
+
value: 7.166
|
| 1054 |
+
- type: precision_at_10
|
| 1055 |
+
value: 2.9250000000000003
|
| 1056 |
+
- type: precision_at_100
|
| 1057 |
+
value: 0.771
|
| 1058 |
+
- type: precision_at_1000
|
| 1059 |
+
value: 0.13999999999999999
|
| 1060 |
+
- type: precision_at_3
|
| 1061 |
+
value: 4.734
|
| 1062 |
+
- type: precision_at_5
|
| 1063 |
+
value: 3.8830000000000005
|
| 1064 |
+
- type: recall_at_1
|
| 1065 |
+
value: 3.101
|
| 1066 |
+
- type: recall_at_10
|
| 1067 |
+
value: 11.774999999999999
|
| 1068 |
+
- type: recall_at_100
|
| 1069 |
+
value: 28.819
|
| 1070 |
+
- type: recall_at_1000
|
| 1071 |
+
value: 49.886
|
| 1072 |
+
- type: recall_at_3
|
| 1073 |
+
value: 5.783
|
| 1074 |
+
- type: recall_at_5
|
| 1075 |
+
value: 7.692
|
| 1076 |
+
- task:
|
| 1077 |
+
type: Retrieval
|
| 1078 |
+
dataset:
|
| 1079 |
+
type: dbpedia-entity
|
| 1080 |
+
name: MTEB DBPedia
|
| 1081 |
+
config: default
|
| 1082 |
+
split: test
|
| 1083 |
+
revision: None
|
| 1084 |
+
metrics:
|
| 1085 |
+
- type: map_at_1
|
| 1086 |
+
value: 2.758
|
| 1087 |
+
- type: map_at_10
|
| 1088 |
+
value: 5.507
|
| 1089 |
+
- type: map_at_100
|
| 1090 |
+
value: 7.1819999999999995
|
| 1091 |
+
- type: map_at_1000
|
| 1092 |
+
value: 7.652
|
| 1093 |
+
- type: map_at_3
|
| 1094 |
+
value: 4.131
|
| 1095 |
+
- type: map_at_5
|
| 1096 |
+
value: 4.702
|
| 1097 |
+
- type: mrr_at_1
|
| 1098 |
+
value: 28.499999999999996
|
| 1099 |
+
- type: mrr_at_10
|
| 1100 |
+
value: 37.693
|
| 1101 |
+
- type: mrr_at_100
|
| 1102 |
+
value: 38.657000000000004
|
| 1103 |
+
- type: mrr_at_1000
|
| 1104 |
+
value: 38.704
|
| 1105 |
+
- type: mrr_at_3
|
| 1106 |
+
value: 34.792
|
| 1107 |
+
- type: mrr_at_5
|
| 1108 |
+
value: 36.417
|
| 1109 |
+
- type: ndcg_at_1
|
| 1110 |
+
value: 20.625
|
| 1111 |
+
- type: ndcg_at_10
|
| 1112 |
+
value: 14.771999999999998
|
| 1113 |
+
- type: ndcg_at_100
|
| 1114 |
+
value: 16.821
|
| 1115 |
+
- type: ndcg_at_1000
|
| 1116 |
+
value: 21.546000000000003
|
| 1117 |
+
- type: ndcg_at_3
|
| 1118 |
+
value: 16.528000000000002
|
| 1119 |
+
- type: ndcg_at_5
|
| 1120 |
+
value: 15.573
|
| 1121 |
+
- type: precision_at_1
|
| 1122 |
+
value: 28.499999999999996
|
| 1123 |
+
- type: precision_at_10
|
| 1124 |
+
value: 12.25
|
| 1125 |
+
- type: precision_at_100
|
| 1126 |
+
value: 3.7600000000000002
|
| 1127 |
+
- type: precision_at_1000
|
| 1128 |
+
value: 0.86
|
| 1129 |
+
- type: precision_at_3
|
| 1130 |
+
value: 19.167
|
| 1131 |
+
- type: precision_at_5
|
| 1132 |
+
value: 16.25
|
| 1133 |
+
- type: recall_at_1
|
| 1134 |
+
value: 2.758
|
| 1135 |
+
- type: recall_at_10
|
| 1136 |
+
value: 9.164
|
| 1137 |
+
- type: recall_at_100
|
| 1138 |
+
value: 21.022
|
| 1139 |
+
- type: recall_at_1000
|
| 1140 |
+
value: 37.053999999999995
|
| 1141 |
+
- type: recall_at_3
|
| 1142 |
+
value: 5.112
|
| 1143 |
+
- type: recall_at_5
|
| 1144 |
+
value: 6.413
|
| 1145 |
+
- task:
|
| 1146 |
+
type: Reranking
|
| 1147 |
+
dataset:
|
| 1148 |
+
type: mteb/mind_small
|
| 1149 |
+
name: MTEB MindSmallReranking
|
| 1150 |
+
config: default
|
| 1151 |
+
split: test
|
| 1152 |
+
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
|
| 1153 |
+
metrics:
|
| 1154 |
+
- type: map
|
| 1155 |
+
value: 28.53554681148413
|
| 1156 |
+
- type: mrr
|
| 1157 |
+
value: 29.290078704990325
|
| 1158 |
+
- task:
|
| 1159 |
+
type: STS
|
| 1160 |
+
dataset:
|
| 1161 |
+
type: mteb/sickr-sts
|
| 1162 |
+
name: MTEB SICK-R
|
| 1163 |
+
config: default
|
| 1164 |
+
split: test
|
| 1165 |
+
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
|
| 1166 |
+
metrics:
|
| 1167 |
+
- type: cos_sim_pearson
|
| 1168 |
+
value: 76.52926207453477
|
| 1169 |
+
- type: cos_sim_spearman
|
| 1170 |
+
value: 68.98528351149498
|
| 1171 |
+
- type: euclidean_pearson
|
| 1172 |
+
value: 73.7744559091218
|
| 1173 |
+
- type: euclidean_spearman
|
| 1174 |
+
value: 69.03481995814735
|
| 1175 |
+
- type: manhattan_pearson
|
| 1176 |
+
value: 73.72818267270651
|
| 1177 |
+
- type: manhattan_spearman
|
| 1178 |
+
value: 69.00576442086793
|
| 1179 |
+
- task:
|
| 1180 |
+
type: STS
|
| 1181 |
+
dataset:
|
| 1182 |
+
type: mteb/sts12-sts
|
| 1183 |
+
name: MTEB STS12
|
| 1184 |
+
config: default
|
| 1185 |
+
split: test
|
| 1186 |
+
revision: a0d554a64d88156834ff5ae9920b964011b16384
|
| 1187 |
+
metrics:
|
| 1188 |
+
- type: cos_sim_pearson
|
| 1189 |
+
value: 61.71540153163407
|
| 1190 |
+
- type: cos_sim_spearman
|
| 1191 |
+
value: 58.502746406116614
|
| 1192 |
+
- type: euclidean_pearson
|
| 1193 |
+
value: 60.82817999438477
|
| 1194 |
+
- type: euclidean_spearman
|
| 1195 |
+
value: 58.988494433752756
|
| 1196 |
+
- type: manhattan_pearson
|
| 1197 |
+
value: 60.87147859170236
|
| 1198 |
+
- type: manhattan_spearman
|
| 1199 |
+
value: 59.03527382025516
|
| 1200 |
+
- task:
|
| 1201 |
+
type: STS
|
| 1202 |
+
dataset:
|
| 1203 |
+
type: mteb/sts13-sts
|
| 1204 |
+
name: MTEB STS13
|
| 1205 |
+
config: default
|
| 1206 |
+
split: test
|
| 1207 |
+
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
|
| 1208 |
+
metrics:
|
| 1209 |
+
- type: cos_sim_pearson
|
| 1210 |
+
value: 72.89990498692094
|
| 1211 |
+
- type: cos_sim_spearman
|
| 1212 |
+
value: 74.03028513377879
|
| 1213 |
+
- type: euclidean_pearson
|
| 1214 |
+
value: 73.8252088833803
|
| 1215 |
+
- type: euclidean_spearman
|
| 1216 |
+
value: 74.15554246478399
|
| 1217 |
+
- type: manhattan_pearson
|
| 1218 |
+
value: 73.80947397334666
|
| 1219 |
+
- type: manhattan_spearman
|
| 1220 |
+
value: 74.13117958176566
|
| 1221 |
+
- task:
|
| 1222 |
+
type: STS
|
| 1223 |
+
dataset:
|
| 1224 |
+
type: mteb/sts14-sts
|
| 1225 |
+
name: MTEB STS14
|
| 1226 |
+
config: default
|
| 1227 |
+
split: test
|
| 1228 |
+
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
|
| 1229 |
+
metrics:
|
| 1230 |
+
- type: cos_sim_pearson
|
| 1231 |
+
value: 70.67974206005906
|
| 1232 |
+
- type: cos_sim_spearman
|
| 1233 |
+
value: 66.18263558486296
|
| 1234 |
+
- type: euclidean_pearson
|
| 1235 |
+
value: 69.5048876024341
|
| 1236 |
+
- type: euclidean_spearman
|
| 1237 |
+
value: 66.36380457878391
|
| 1238 |
+
- type: manhattan_pearson
|
| 1239 |
+
value: 69.4895372451589
|
| 1240 |
+
- type: manhattan_spearman
|
| 1241 |
+
value: 66.36941569935124
|
| 1242 |
+
- task:
|
| 1243 |
+
type: STS
|
| 1244 |
+
dataset:
|
| 1245 |
+
type: mteb/sts15-sts
|
| 1246 |
+
name: MTEB STS15
|
| 1247 |
+
config: default
|
| 1248 |
+
split: test
|
| 1249 |
+
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
|
| 1250 |
+
metrics:
|
| 1251 |
+
- type: cos_sim_pearson
|
| 1252 |
+
value: 73.99856913569187
|
| 1253 |
+
- type: cos_sim_spearman
|
| 1254 |
+
value: 75.54712054246464
|
| 1255 |
+
- type: euclidean_pearson
|
| 1256 |
+
value: 74.55692573876115
|
| 1257 |
+
- type: euclidean_spearman
|
| 1258 |
+
value: 75.34499056740096
|
| 1259 |
+
- type: manhattan_pearson
|
| 1260 |
+
value: 74.59342318869683
|
| 1261 |
+
- type: manhattan_spearman
|
| 1262 |
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value: 75.35708317926819
|
| 1263 |
+
- task:
|
| 1264 |
+
type: STS
|
| 1265 |
+
dataset:
|
| 1266 |
+
type: mteb/sts16-sts
|
| 1267 |
+
name: MTEB STS16
|
| 1268 |
+
config: default
|
| 1269 |
+
split: test
|
| 1270 |
+
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
|
| 1271 |
+
metrics:
|
| 1272 |
+
- type: cos_sim_pearson
|
| 1273 |
+
value: 72.3343670787494
|
| 1274 |
+
- type: cos_sim_spearman
|
| 1275 |
+
value: 73.7136650302399
|
| 1276 |
+
- type: euclidean_pearson
|
| 1277 |
+
value: 73.86004257913046
|
| 1278 |
+
- type: euclidean_spearman
|
| 1279 |
+
value: 73.9557418048638
|
| 1280 |
+
- type: manhattan_pearson
|
| 1281 |
+
value: 73.78919091538661
|
| 1282 |
+
- type: manhattan_spearman
|
| 1283 |
+
value: 73.86316425954108
|
| 1284 |
+
- task:
|
| 1285 |
+
type: STS
|
| 1286 |
+
dataset:
|
| 1287 |
+
type: mteb/sts17-crosslingual-sts
|
| 1288 |
+
name: MTEB STS17 (en-en)
|
| 1289 |
+
config: en-en
|
| 1290 |
+
split: test
|
| 1291 |
+
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
| 1292 |
+
metrics:
|
| 1293 |
+
- type: cos_sim_pearson
|
| 1294 |
+
value: 79.08159601556619
|
| 1295 |
+
- type: cos_sim_spearman
|
| 1296 |
+
value: 80.13910828685532
|
| 1297 |
+
- type: euclidean_pearson
|
| 1298 |
+
value: 79.39197806617453
|
| 1299 |
+
- type: euclidean_spearman
|
| 1300 |
+
value: 79.85692277871196
|
| 1301 |
+
- type: manhattan_pearson
|
| 1302 |
+
value: 79.32452246324705
|
| 1303 |
+
- type: manhattan_spearman
|
| 1304 |
+
value: 79.70120373587193
|
| 1305 |
+
- task:
|
| 1306 |
+
type: STS
|
| 1307 |
+
dataset:
|
| 1308 |
+
type: mteb/sts22-crosslingual-sts
|
| 1309 |
+
name: MTEB STS22 (en)
|
| 1310 |
+
config: en
|
| 1311 |
+
split: test
|
| 1312 |
+
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
|
| 1313 |
+
metrics:
|
| 1314 |
+
- type: cos_sim_pearson
|
| 1315 |
+
value: 62.29720207747786
|
| 1316 |
+
- type: cos_sim_spearman
|
| 1317 |
+
value: 65.65260681394685
|
| 1318 |
+
- type: euclidean_pearson
|
| 1319 |
+
value: 64.49002165983158
|
| 1320 |
+
- type: euclidean_spearman
|
| 1321 |
+
value: 65.25917651158736
|
| 1322 |
+
- type: manhattan_pearson
|
| 1323 |
+
value: 64.49981108236335
|
| 1324 |
+
- type: manhattan_spearman
|
| 1325 |
+
value: 65.20426825202405
|
| 1326 |
+
- task:
|
| 1327 |
+
type: STS
|
| 1328 |
+
dataset:
|
| 1329 |
+
type: mteb/stsbenchmark-sts
|
| 1330 |
+
name: MTEB STSBenchmark
|
| 1331 |
+
config: default
|
| 1332 |
+
split: test
|
| 1333 |
+
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
|
| 1334 |
+
metrics:
|
| 1335 |
+
- type: cos_sim_pearson
|
| 1336 |
+
value: 71.1871068550574
|
| 1337 |
+
- type: cos_sim_spearman
|
| 1338 |
+
value: 71.40167034949341
|
| 1339 |
+
- type: euclidean_pearson
|
| 1340 |
+
value: 72.2373684855404
|
| 1341 |
+
- type: euclidean_spearman
|
| 1342 |
+
value: 71.90255429812984
|
| 1343 |
+
- type: manhattan_pearson
|
| 1344 |
+
value: 72.23173532049509
|
| 1345 |
+
- type: manhattan_spearman
|
| 1346 |
+
value: 71.87843489689064
|
| 1347 |
+
- task:
|
| 1348 |
+
type: Reranking
|
| 1349 |
+
dataset:
|
| 1350 |
+
type: mteb/scidocs-reranking
|
| 1351 |
+
name: MTEB SciDocsRR
|
| 1352 |
+
config: default
|
| 1353 |
+
split: test
|
| 1354 |
+
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
|
| 1355 |
+
metrics:
|
| 1356 |
+
- type: map
|
| 1357 |
+
value: 68.65000574464773
|
| 1358 |
+
- type: mrr
|
| 1359 |
+
value: 88.29363084265044
|
| 1360 |
+
- task:
|
| 1361 |
+
type: Reranking
|
| 1362 |
+
dataset:
|
| 1363 |
+
type: mteb/stackoverflowdupquestions-reranking
|
| 1364 |
+
name: MTEB StackOverflowDupQuestions
|
| 1365 |
+
config: default
|
| 1366 |
+
split: test
|
| 1367 |
+
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
|
| 1368 |
+
metrics:
|
| 1369 |
+
- type: map
|
| 1370 |
+
value: 40.76107749144358
|
| 1371 |
+
- type: mrr
|
| 1372 |
+
value: 41.03689202953908
|
| 1373 |
+
- task:
|
| 1374 |
+
type: Summarization
|
| 1375 |
+
dataset:
|
| 1376 |
+
type: mteb/summeval
|
| 1377 |
+
name: MTEB SummEval
|
| 1378 |
+
config: default
|
| 1379 |
+
split: test
|
| 1380 |
+
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
|
| 1381 |
+
metrics:
|
| 1382 |
+
- type: cos_sim_pearson
|
| 1383 |
+
value: 28.68520527813894
|
| 1384 |
+
- type: cos_sim_spearman
|
| 1385 |
+
value: 29.017620841627433
|
| 1386 |
+
- type: dot_pearson
|
| 1387 |
+
value: 29.25380949876322
|
| 1388 |
+
- type: dot_spearman
|
| 1389 |
+
value: 29.33885250837327
|
| 1390 |
+
---
|