Commit
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154c4e9
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Parent(s):
1e82af0
Add MTEB evaluation
Browse filesThis view is limited to 50 files because it contains too many changes.
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- {eval → evaluation/beir}/beir.json +0 -0
- evaluation/mteb/AmazonCounterfactualClassification.json +82 -0
- evaluation/mteb/AmazonPolarityClassification.json +14 -0
- evaluation/mteb/AmazonReviewsClassification.json +94 -0
- evaluation/mteb/ArguAna.json +37 -0
- evaluation/mteb/ArxivClusteringP2P.json +9 -0
- evaluation/mteb/ArxivClusteringS2S.json +9 -0
- evaluation/mteb/AskUbuntuDupQuestions.json +9 -0
- evaluation/mteb/BIOSSES.json +19 -0
- evaluation/mteb/Banking77Classification.json +12 -0
- evaluation/mteb/BiorxivClusteringP2P.json +9 -0
- evaluation/mteb/BiorxivClusteringS2S.json +9 -0
- evaluation/mteb/CQADupstackAndroidRetrieval.json +37 -0
- evaluation/mteb/CQADupstackEnglishRetrieval.json +37 -0
- evaluation/mteb/CQADupstackGamingRetrieval.json +37 -0
- evaluation/mteb/CQADupstackGisRetrieval.json +37 -0
- evaluation/mteb/CQADupstackMathematicaRetrieval.json +37 -0
- evaluation/mteb/CQADupstackPhysicsRetrieval.json +37 -0
- evaluation/mteb/CQADupstackProgrammersRetrieval.json +37 -0
- evaluation/mteb/CQADupstackRetrieval.json +1 -0
- evaluation/mteb/CQADupstackStatsRetrieval.json +37 -0
- evaluation/mteb/CQADupstackTexRetrieval.json +37 -0
- evaluation/mteb/CQADupstackUnixRetrieval.json +37 -0
- evaluation/mteb/CQADupstackWebmastersRetrieval.json +37 -0
- evaluation/mteb/CQADupstackWordpressRetrieval.json +37 -0
- evaluation/mteb/ClimateFEVER.json +37 -0
- evaluation/mteb/DBPedia.json +37 -0
- evaluation/mteb/EmotionClassification.json +20 -0
- evaluation/mteb/FEVER.json +37 -0
- evaluation/mteb/FiQA2018.json +37 -0
- evaluation/mteb/HotpotQA.json +37 -0
- evaluation/mteb/ImdbClassification.json +14 -0
- evaluation/mteb/MSMARCO.json +37 -0
- evaluation/mteb/MTOPDomainClassification.json +94 -0
- evaluation/mteb/MTOPIntentClassification.json +94 -0
- evaluation/mteb/MassiveIntentClassification.json +724 -0
- evaluation/mteb/MassiveScenarioClassification.json +724 -0
- evaluation/mteb/MedrxivClusteringP2P.json +9 -0
- evaluation/mteb/MedrxivClusteringS2S.json +9 -0
- evaluation/mteb/MindSmallReranking.json +9 -0
- evaluation/mteb/NFCorpus.json +37 -0
- evaluation/mteb/NQ.json +37 -0
- evaluation/mteb/QuoraRetrieval.json +37 -0
- evaluation/mteb/RedditClustering.json +14 -0
- evaluation/mteb/RedditClusteringP2P.json +9 -0
- evaluation/mteb/SCIDOCS.json +37 -0
- evaluation/mteb/SGPT-125M-weightedmean-msmarco-specb-bitfit_results.csv +210 -0
- evaluation/mteb/SICK-R.json +17 -0
- evaluation/mteb/STS12.json +19 -0
- evaluation/mteb/STS13.json +19 -0
{eval → evaluation/beir}/beir.json
RENAMED
File without changes
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evaluation/mteb/AmazonCounterfactualClassification.json
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evaluation/mteb/AmazonPolarityClassification.json
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{
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"test": {
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"accuracy": 0.65401225,
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"accuracy_stderr": 0.03587243183229288,
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"f1": 0.650251824898292,
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"f1_stderr": 0.037356425365799015,
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"main_score": 0.65401225
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"dataset_version": null,
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"mteb_version": "0.0.2"
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}
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evaluation/mteb/AmazonReviewsClassification.json
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"zh": {
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"dataset_version": null,
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"mteb_version": "0.0.2"
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}
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evaluation/mteb/ArguAna.json
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{
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"dataset_version": null,
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"mteb_version": "0.0.2",
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"test": {
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"evaluation_time": 76.89,
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"map_at_100": 0.37945,
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"map_at_1000": 0.37966,
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"map_at_3": 0.3178,
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"map_at_5": 0.34608,
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"mrr_at_1": 0.22902,
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"mrr_at_5": 0.34812,
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"ndcg_at_1": 0.22404,
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"ndcg_at_10": 0.45425,
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"ndcg_at_5": 0.40081,
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"precision_at_1": 0.22404,
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"precision_at_10": 0.07304,
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"precision_at_100": 0.00951,
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"precision_at_1000": 0.00099,
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"precision_at_3": 0.14746,
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"precision_at_5": 0.11337,
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"recall_at_1": 0.22404,
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"recall_at_10": 0.73044,
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"recall_at_100": 0.95092,
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"recall_at_1000": 0.99075,
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"recall_at_3": 0.44239,
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"recall_at_5": 0.56686
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}
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}
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evaluation/mteb/ArxivClusteringP2P.json
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{
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"test": {
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"evaluation_time": 4524.41,
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"v_measure": 0.3970858340673288,
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"v_measure_std": 0.13892512061332984
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},
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"dataset_version": null,
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"mteb_version": "0.0.2"
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}
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evaluation/mteb/ArxivClusteringS2S.json
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{
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"test": {
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|
evaluation/mteb/AskUbuntuDupQuestions.json
ADDED
@@ -0,0 +1,9 @@
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|
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{
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9 |
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|
evaluation/mteb/BIOSSES.json
ADDED
@@ -0,0 +1,19 @@
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|
19 |
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|
evaluation/mteb/Banking77Classification.json
ADDED
@@ -0,0 +1,12 @@
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|
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{
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evaluation/mteb/BiorxivClusteringP2P.json
ADDED
@@ -0,0 +1,9 @@
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{
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9 |
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evaluation/mteb/BiorxivClusteringS2S.json
ADDED
@@ -0,0 +1,9 @@
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evaluation/mteb/CQADupstackAndroidRetrieval.json
ADDED
@@ -0,0 +1,37 @@
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|
37 |
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evaluation/mteb/CQADupstackEnglishRetrieval.json
ADDED
@@ -0,0 +1,37 @@
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|
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{
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|
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evaluation/mteb/CQADupstackGamingRetrieval.json
ADDED
@@ -0,0 +1,37 @@
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{
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|
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|
evaluation/mteb/CQADupstackGisRetrieval.json
ADDED
@@ -0,0 +1,37 @@
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|
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{
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|
37 |
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|
evaluation/mteb/CQADupstackMathematicaRetrieval.json
ADDED
@@ -0,0 +1,37 @@
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|
1 |
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{
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|
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|
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|
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|
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|
37 |
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|
evaluation/mteb/CQADupstackPhysicsRetrieval.json
ADDED
@@ -0,0 +1,37 @@
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|
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{
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|
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|
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|
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|
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|
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|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
+
"precision_at_100": 0.01055,
|
27 |
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|
28 |
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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|
34 |
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|
35 |
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"recall_at_5": 0.34911
|
36 |
+
}
|
37 |
+
}
|
evaluation/mteb/CQADupstackProgrammersRetrieval.json
ADDED
@@ -0,0 +1,37 @@
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_version": null,
|
3 |
+
"mteb_version": "0.0.2",
|
4 |
+
"test": {
|
5 |
+
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|
6 |
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|
7 |
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|
8 |
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|
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|
10 |
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|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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|
16 |
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|
17 |
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|
18 |
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|
19 |
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|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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"precision_at_1": 0.21347,
|
25 |
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|
26 |
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"precision_at_100": 0.00954,
|
27 |
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"precision_at_1000": 0.00139,
|
28 |
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|
29 |
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"precision_at_5": 0.08425,
|
30 |
+
"recall_at_1": 0.17896,
|
31 |
+
"recall_at_10": 0.37291,
|
32 |
+
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|
33 |
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|
34 |
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"recall_at_3": 0.27706,
|
35 |
+
"recall_at_5": 0.31234
|
36 |
+
}
|
37 |
+
}
|
evaluation/mteb/CQADupstackRetrieval.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"dataset_version": null, "mteb_version": "0.0.2", "test": {"evaluation_time": 62.83, "map_at_1": 0.17195166666666667, "map_at_10": 0.23329083333333334, "map_at_100": 0.2430308333333333, "map_at_1000": 0.24422416666666666, "map_at_3": 0.21327416666666665, "map_at_5": 0.22419999999999998, "mrr_at_1": 0.19999916666666667, "mrr_at_10": 0.26390166666666665, "mrr_at_100": 0.27231, "mrr_at_1000": 0.27308333333333334, "mrr_at_3": 0.244675, "mrr_at_5": 0.25541083333333336, "ndcg_at_1": 0.19999916666666667, "ndcg_at_10": 0.27248666666666665, "ndcg_at_100": 0.3200258333333334, "ndcg_at_1000": 0.34946499999999997, "ndcg_at_3": 0.2358566666666667, "ndcg_at_5": 0.2526341666666666, "precision_at_1": 0.19999916666666667, "precision_at_10": 0.04772166666666666, "precision_at_100": 0.00847, "precision_at_1000": 0.0012741666666666667, "precision_at_3": 0.10756166666666668, "precision_at_5": 0.07725416666666667, "recall_at_1": 0.17195166666666667, "recall_at_10": 0.35990833333333344, "recall_at_100": 0.57468, "recall_at_1000": 0.7882366666666667, "recall_at_3": 0.25898499999999997, "recall_at_5": 0.30084333333333335}}
|
evaluation/mteb/CQADupstackStatsRetrieval.json
ADDED
@@ -0,0 +1,37 @@
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_version": null,
|
3 |
+
"mteb_version": "0.0.2",
|
4 |
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"test": {
|
5 |
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|
6 |
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|
7 |
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|
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|
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|
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|
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|
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|
17 |
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|
18 |
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|
19 |
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|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
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|
28 |
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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|
34 |
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|
35 |
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|
36 |
+
}
|
37 |
+
}
|
evaluation/mteb/CQADupstackTexRetrieval.json
ADDED
@@ -0,0 +1,37 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_version": null,
|
3 |
+
"mteb_version": "0.0.2",
|
4 |
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"test": {
|
5 |
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|
6 |
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|
7 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
25 |
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|
26 |
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|
27 |
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|
28 |
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|
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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|
34 |
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|
35 |
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"recall_at_5": 0.19409
|
36 |
+
}
|
37 |
+
}
|
evaluation/mteb/CQADupstackUnixRetrieval.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_version": null,
|
3 |
+
"mteb_version": "0.0.2",
|
4 |
+
"test": {
|
5 |
+
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|
6 |
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|
7 |
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|
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|
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|
10 |
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|
11 |
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|
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|
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|
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|
15 |
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|
16 |
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|
17 |
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|
18 |
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|
19 |
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|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
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|
28 |
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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|
34 |
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|
35 |
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"recall_at_5": 0.29008
|
36 |
+
}
|
37 |
+
}
|
evaluation/mteb/CQADupstackWebmastersRetrieval.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_version": null,
|
3 |
+
"mteb_version": "0.0.2",
|
4 |
+
"test": {
|
5 |
+
"evaluation_time": 62.83,
|
6 |
+
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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|
16 |
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|
17 |
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|
18 |
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|
19 |
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|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
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|
28 |
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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|
34 |
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|
35 |
+
"recall_at_5": 0.28546
|
36 |
+
}
|
37 |
+
}
|
evaluation/mteb/CQADupstackWordpressRetrieval.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_version": null,
|
3 |
+
"mteb_version": "0.0.2",
|
4 |
+
"test": {
|
5 |
+
"evaluation_time": 194.26,
|
6 |
+
"map_at_1": 0.14239,
|
7 |
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|
8 |
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|
9 |
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|
10 |
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|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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|
16 |
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|
17 |
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|
18 |
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|
19 |
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|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
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|
28 |
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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|
34 |
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|
35 |
+
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|
36 |
+
}
|
37 |
+
}
|
evaluation/mteb/ClimateFEVER.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_version": null,
|
3 |
+
"mteb_version": "0.0.2",
|
4 |
+
"test": {
|
5 |
+
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|
6 |
+
"map_at_1": 0.08828,
|
7 |
+
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|
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|
26 |
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|
27 |
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|
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|
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|
30 |
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|
31 |
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|
35 |
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|
36 |
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}
|
37 |
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}
|
evaluation/mteb/DBPedia.json
ADDED
@@ -0,0 +1,37 @@
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|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
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3 |
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|
4 |
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5 |
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6 |
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|
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|
34 |
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|
35 |
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|
36 |
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}
|
37 |
+
}
|
evaluation/mteb/EmotionClassification.json
ADDED
@@ -0,0 +1,20 @@
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|
|
|
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|
1 |
+
{
|
2 |
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3 |
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10 |
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|
18 |
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|
19 |
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"mteb_version": "0.0.2"
|
20 |
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}
|
evaluation/mteb/FEVER.json
ADDED
@@ -0,0 +1,37 @@
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|
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|
|
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|
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|
|
1 |
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{
|
2 |
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"dataset_version": null,
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3 |
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4 |
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5 |
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6 |
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|
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31 |
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35 |
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|
36 |
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}
|
37 |
+
}
|
evaluation/mteb/FiQA2018.json
ADDED
@@ -0,0 +1,37 @@
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|
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|
|
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|
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|
|
|
|
|
|
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|
1 |
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{
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2 |
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"dataset_version": null,
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3 |
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4 |
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|
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|
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|
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|
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|
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|
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|
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|
36 |
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|
37 |
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}
|
evaluation/mteb/HotpotQA.json
ADDED
@@ -0,0 +1,37 @@
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
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"dataset_version": null,
|
3 |
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4 |
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|
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|
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|
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|
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|
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|
31 |
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|
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|
36 |
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|
37 |
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}
|
evaluation/mteb/ImdbClassification.json
ADDED
@@ -0,0 +1,14 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
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{
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2 |
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3 |
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|
4 |
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"main_score": 0.586696
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11 |
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|
12 |
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"dataset_version": null,
|
13 |
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"mteb_version": "0.0.2"
|
14 |
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}
|
evaluation/mteb/MSMARCO.json
ADDED
@@ -0,0 +1,37 @@
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|
|
|
|
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|
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|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
1 |
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{
|
2 |
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"dataset_version": null,
|
3 |
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"mteb_version": "0.0.2",
|
4 |
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"validation": {
|
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|
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|
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|
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|
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|
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|
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|
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|
31 |
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|
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|
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|
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|
35 |
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|
36 |
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}
|
37 |
+
}
|
evaluation/mteb/MTOPDomainClassification.json
ADDED
@@ -0,0 +1,94 @@
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|
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|
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|
|
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|
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|
|
|
|
|
|
|
1 |
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{
|
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|
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|
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evaluation/mteb/MTOPIntentClassification.json
ADDED
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|
evaluation/mteb/MassiveIntentClassification.json
ADDED
@@ -0,0 +1,724 @@
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evaluation/mteb/MassiveScenarioClassification.json
ADDED
@@ -0,0 +1,724 @@
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"recall_at_1": 0.03774,
|
31 |
+
"recall_at_10": 0.10303,
|
32 |
+
"recall_at_100": 0.23013,
|
33 |
+
"recall_at_1000": 0.54865,
|
34 |
+
"recall_at_3": 0.06554,
|
35 |
+
"recall_at_5": 0.08087
|
36 |
+
}
|
37 |
+
}
|
evaluation/mteb/NQ.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_version": null,
|
3 |
+
"mteb_version": "0.0.2",
|
4 |
+
"test": {
|
5 |
+
"evaluation_time": 1782.69,
|
6 |
+
"map_at_1": 0.15621,
|
7 |
+
"map_at_10": 0.24519,
|
8 |
+
"map_at_100": 0.25586,
|
9 |
+
"map_at_1000": 0.25662,
|
10 |
+
"map_at_3": 0.21619,
|
11 |
+
"map_at_5": 0.23232,
|
12 |
+
"mrr_at_1": 0.17497,
|
13 |
+
"mrr_at_10": 0.26301,
|
14 |
+
"mrr_at_100": 0.27235,
|
15 |
+
"mrr_at_1000": 0.27297,
|
16 |
+
"mrr_at_3": 0.23561,
|
17 |
+
"mrr_at_5": 0.25111,
|
18 |
+
"ndcg_at_1": 0.17497,
|
19 |
+
"ndcg_at_10": 0.29725,
|
20 |
+
"ndcg_at_100": 0.34824,
|
21 |
+
"ndcg_at_1000": 0.36907,
|
22 |
+
"ndcg_at_3": 0.23946,
|
23 |
+
"ndcg_at_5": 0.26739,
|
24 |
+
"precision_at_1": 0.17497,
|
25 |
+
"precision_at_10": 0.05217,
|
26 |
+
"precision_at_100": 0.0081,
|
27 |
+
"precision_at_1000": 0.00101,
|
28 |
+
"precision_at_3": 0.11114,
|
29 |
+
"precision_at_5": 0.08285,
|
30 |
+
"recall_at_1": 0.15621,
|
31 |
+
"recall_at_10": 0.43999,
|
32 |
+
"recall_at_100": 0.67183,
|
33 |
+
"recall_at_1000": 0.83174,
|
34 |
+
"recall_at_3": 0.2872,
|
35 |
+
"recall_at_5": 0.35154
|
36 |
+
}
|
37 |
+
}
|
evaluation/mteb/QuoraRetrieval.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_version": null,
|
3 |
+
"mteb_version": "0.0.2",
|
4 |
+
"test": {
|
5 |
+
"evaluation_time": 296.55,
|
6 |
+
"map_at_1": 0.54717,
|
7 |
+
"map_at_10": 0.67514,
|
8 |
+
"map_at_100": 0.68484,
|
9 |
+
"map_at_1000": 0.68523,
|
10 |
+
"map_at_3": 0.64169,
|
11 |
+
"map_at_5": 0.66054,
|
12 |
+
"mrr_at_1": 0.6246,
|
13 |
+
"mrr_at_10": 0.71503,
|
14 |
+
"mrr_at_100": 0.71915,
|
15 |
+
"mrr_at_1000": 0.71923,
|
16 |
+
"mrr_at_3": 0.69468,
|
17 |
+
"mrr_at_5": 0.70677,
|
18 |
+
"ndcg_at_1": 0.6248,
|
19 |
+
"ndcg_at_10": 0.7298,
|
20 |
+
"ndcg_at_100": 0.76023,
|
21 |
+
"ndcg_at_1000": 0.76512,
|
22 |
+
"ndcg_at_3": 0.68138,
|
23 |
+
"ndcg_at_5": 0.70458,
|
24 |
+
"precision_at_1": 0.6248,
|
25 |
+
"precision_at_10": 0.11373,
|
26 |
+
"precision_at_100": 0.01437,
|
27 |
+
"precision_at_1000": 0.00154,
|
28 |
+
"precision_at_3": 0.29623,
|
29 |
+
"precision_at_5": 0.19918,
|
30 |
+
"recall_at_1": 0.54717,
|
31 |
+
"recall_at_10": 0.84745,
|
32 |
+
"recall_at_100": 0.96528,
|
33 |
+
"recall_at_1000": 0.9939,
|
34 |
+
"recall_at_3": 0.71606,
|
35 |
+
"recall_at_5": 0.77511
|
36 |
+
}
|
37 |
+
}
|
evaluation/mteb/RedditClustering.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"test": {
|
3 |
+
"evaluation_time": 483.06,
|
4 |
+
"v_measure": 0.4023390747226228,
|
5 |
+
"v_measure_std": 0.05592188317124693
|
6 |
+
},
|
7 |
+
"validation": {
|
8 |
+
"evaluation_time": 486.87,
|
9 |
+
"v_measure": 0.4023390747226228,
|
10 |
+
"v_measure_std": 0.05592188317124693
|
11 |
+
},
|
12 |
+
"dataset_version": null,
|
13 |
+
"mteb_version": "0.0.2"
|
14 |
+
}
|
evaluation/mteb/RedditClusteringP2P.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_version": null,
|
3 |
+
"mteb_version": "0.0.2",
|
4 |
+
"test": {
|
5 |
+
"evaluation_time": 1471.4,
|
6 |
+
"v_measure": 0.49090518272935624,
|
7 |
+
"v_measure_std": 0.11128243444352012
|
8 |
+
}
|
9 |
+
}
|
evaluation/mteb/SCIDOCS.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_version": null,
|
3 |
+
"mteb_version": "0.0.2",
|
4 |
+
"test": {
|
5 |
+
"evaluation_time": 102.16,
|
6 |
+
"map_at_1": 0.03028,
|
7 |
+
"map_at_10": 0.06968,
|
8 |
+
"map_at_100": 0.082,
|
9 |
+
"map_at_1000": 0.08432,
|
10 |
+
"map_at_3": 0.05307,
|
11 |
+
"map_at_5": 0.06099,
|
12 |
+
"mrr_at_1": 0.148,
|
13 |
+
"mrr_at_10": 0.22425,
|
14 |
+
"mrr_at_100": 0.23577,
|
15 |
+
"mrr_at_1000": 0.2367,
|
16 |
+
"mrr_at_3": 0.20233,
|
17 |
+
"mrr_at_5": 0.21318,
|
18 |
+
"ndcg_at_1": 0.148,
|
19 |
+
"ndcg_at_10": 0.12206,
|
20 |
+
"ndcg_at_100": 0.17799,
|
21 |
+
"ndcg_at_1000": 0.22891,
|
22 |
+
"ndcg_at_3": 0.12128,
|
23 |
+
"ndcg_at_5": 0.10212,
|
24 |
+
"precision_at_1": 0.148,
|
25 |
+
"precision_at_10": 0.0617,
|
26 |
+
"precision_at_100": 0.01428,
|
27 |
+
"precision_at_1000": 0.00266,
|
28 |
+
"precision_at_3": 0.11333,
|
29 |
+
"precision_at_5": 0.0874,
|
30 |
+
"recall_at_1": 0.03028,
|
31 |
+
"recall_at_10": 0.12522,
|
32 |
+
"recall_at_100": 0.28975,
|
33 |
+
"recall_at_1000": 0.54038,
|
34 |
+
"recall_at_3": 0.06913,
|
35 |
+
"recall_at_5": 0.08883
|
36 |
+
}
|
37 |
+
}
|
evaluation/mteb/SGPT-125M-weightedmean-msmarco-specb-bitfit_results.csv
ADDED
@@ -0,0 +1,210 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
model,task,dataset,language,metric,value
|
2 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,BitextMining,BUCC,,f1,
|
3 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,BitextMining,Tatoeba,,f1,
|
4 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,AmazonCounterfactualClassification,en,accuracy,0.6123880597014926
|
5 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,AmazonCounterfactualClassification,de,accuracy,0.5688436830835117
|
6 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,AmazonCounterfactualClassification,en-ext,accuracy,0.5827586206896551
|
7 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,AmazonCounterfactualClassification,ja,accuracy,0.5464668094218414
|
8 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,AmazonPolarityClassification,en,accuracy,0.65401225
|
9 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,AmazonReviewsClassification,en,accuracy,0.31165999999999994
|
10 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,AmazonReviewsClassification,de,accuracy,0.2479
|
11 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,AmazonReviewsClassification,es,accuracy,0.26643999999999995
|
12 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,AmazonReviewsClassification,fr,accuracy,0.26386000000000004
|
13 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,AmazonReviewsClassification,ja,accuracy,0.22078000000000003
|
14 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,AmazonReviewsClassification,zh,accuracy,0.24274
|
15 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,Banking77Classification,en,accuracy,0.7770454545454545
|
16 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,EmotionClassification,en,accuracy,0.39075000000000004
|
17 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,ImdbClassification,en,accuracy,0.586696
|
18 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,af,accuracy,0.4054808338937458
|
19 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,am,accuracy,0.2418291862811029
|
20 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,ar,accuracy,0.30134498991257563
|
21 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,az,accuracy,0.35884330867518494
|
22 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,bn,accuracy,0.2917283120376597
|
23 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,cy,accuracy,0.41788836583725625
|
24 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,da,accuracy,0.44176193678547404
|
25 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,de,accuracy,0.4207464694014795
|
26 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,el,accuracy,0.362542030934768
|
27 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,en,accuracy,0.6140887693342301
|
28 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,es,accuracy,0.42679892400806996
|
29 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,fa,accuracy,0.3559179556153329
|
30 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,fi,accuracy,0.40036987222595827
|
31 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,fr,accuracy,0.4343981170141224
|
32 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,he,accuracy,0.3159381304640215
|
33 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,hi,accuracy,0.27044384667114996
|
34 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,hu,accuracy,0.38453261600538
|
35 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,hy,accuracy,0.2797915265635508
|
36 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,id,accuracy,0.4397108271687963
|
37 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,is,accuracy,0.40302622730329524
|
38 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,it,accuracy,0.45474108944182917
|
39 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,ja,accuracy,0.4560860793544048
|
40 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,jv,accuracy,0.386684599865501
|
41 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,ka,accuracy,0.25652320107599197
|
42 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,km,accuracy,0.28295225285810355
|
43 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,kn,accuracy,0.23480161398789506
|
44 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,ko,accuracy,0.3655682582380632
|
45 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,lv,accuracy,0.4184936112979153
|
46 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,ml,accuracy,0.2490921318090114
|
47 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,mn,accuracy,0.2986213853396099
|
48 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,ms,accuracy,0.4242098184263618
|
49 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,my,accuracy,0.25131136516476127
|
50 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,nb,accuracy,0.3981506388702084
|
51 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,nl,accuracy,0.4362138533960995
|
52 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,pl,accuracy,0.4219569603227976
|
53 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,pt,accuracy,0.4520847343644923
|
54 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,ro,accuracy,0.4180901143241426
|
55 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,ru,accuracy,0.3596839273705447
|
56 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,sl,accuracy,0.40605245460659045
|
57 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,sq,accuracy,0.42757229320780094
|
58 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,sv,accuracy,0.42347007397444514
|
59 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,sw,accuracy,0.4112306657700067
|
60 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,ta,accuracy,0.24603227975790182
|
61 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,te,accuracy,0.2503698722259583
|
62 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,th,accuracy,0.35400134498991254
|
63 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,tl,accuracy,0.4119031607262945
|
64 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,tr,accuracy,0.3640551445864156
|
65 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,ur,accuracy,0.25934767989240076
|
66 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,vi,accuracy,0.38799596503026224
|
67 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,zh-CN,accuracy,0.4624411566913248
|
68 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveIntentClassification,zh-TW,accuracy,0.4230665770006724
|
69 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,af,accuracy,0.43248150638870203
|
70 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,am,accuracy,0.2530262273032952
|
71 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,ar,accuracy,0.3207128446536651
|
72 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,az,accuracy,0.3668123739071957
|
73 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,bn,accuracy,0.2956624075319435
|
74 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,cy,accuracy,0.421049092131809
|
75 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,da,accuracy,0.4544384667114997
|
76 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,de,accuracy,0.43211163416274373
|
77 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,el,accuracy,0.3650302622730329
|
78 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,en,accuracy,0.6973772696704774
|
79 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,es,accuracy,0.44078681909885675
|
80 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,fa,accuracy,0.32612642905178213
|
81 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,fi,accuracy,0.40356422326832553
|
82 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,fr,accuracy,0.4506724949562878
|
83 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,he,accuracy,0.3217888365837256
|
84 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,hi,accuracy,0.26903160726294556
|
85 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,hu,accuracy,0.4037995965030262
|
86 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,hy,accuracy,0.28375924680564896
|
87 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,id,accuracy,0.44361129791526566
|
88 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,is,accuracy,0.39290517821116344
|
89 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,it,accuracy,0.46469401479488903
|
90 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,ja,accuracy,0.46257565568258235
|
91 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,jv,accuracy,0.41126429051782115
|
92 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,ka,accuracy,0.24727639542703428
|
93 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,km,accuracy,0.2974108944182918
|
94 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,kn,accuracy,0.23850033624747816
|
95 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,ko,accuracy,0.3656691324815064
|
96 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,lv,accuracy,0.40928043039677203
|
97 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,ml,accuracy,0.25527908540685945
|
98 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,mn,accuracy,0.29105581708137185
|
99 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,ms,accuracy,0.43786146603900467
|
100 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,my,accuracy,0.27269670477471414
|
101 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,nb,accuracy,0.3901815736381977
|
102 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,nl,accuracy,0.4535978480161399
|
103 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,pl,accuracy,0.41893073301950234
|
104 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,pt,accuracy,0.45901143241425685
|
105 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,ro,accuracy,0.44115669132481505
|
106 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,ru,accuracy,0.3276395427034297
|
107 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,sl,accuracy,0.40504371217215873
|
108 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,sq,accuracy,0.4251849361129792
|
109 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,sv,accuracy,0.42293207800941496
|
110 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,sw,accuracy,0.42999327505043705
|
111 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,ta,accuracy,0.2832548755884331
|
112 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,te,accuracy,0.26593813046402154
|
113 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,th,accuracy,0.36788836583725626
|
114 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,tl,accuracy,0.425689307330195
|
115 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,tr,accuracy,0.37094821788836585
|
116 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,ur,accuracy,0.2883658372562206
|
117 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,vi,accuracy,0.37357094821788833
|
118 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,zh-CN,accuracy,0.4937794216543375
|
119 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MassiveScenarioClassification,zh-TW,accuracy,0.44421654337592476
|
120 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MTOPDomainClassification,en,accuracy,0.8695622435020519
|
121 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MTOPDomainClassification,de,accuracy,0.6273034657650043
|
122 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MTOPDomainClassification,es,accuracy,0.6754503002001334
|
123 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MTOPDomainClassification,fr,accuracy,0.653523332289383
|
124 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MTOPDomainClassification,hi,accuracy,0.45371100752958055
|
125 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MTOPDomainClassification,th,accuracy,0.5527667269439421
|
126 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MTOPIntentClassification,en,accuracy,0.6225262197902417
|
127 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MTOPIntentClassification,de,accuracy,0.4956043956043956
|
128 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MTOPIntentClassification,es,accuracy,0.4993995997331555
|
129 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MTOPIntentClassification,fr,accuracy,0.46329470717193855
|
130 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MTOPIntentClassification,hi,accuracy,0.3220867694514163
|
131 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,MTOPIntentClassification,th,accuracy,0.43627486437613017
|
132 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,ToxicConversationsClassification,en,accuracy,0.6265799999999999
|
133 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,TweetSentimentExtractionClassification,en,accuracy,0.5240803621958121
|
134 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Clustering,ArxivClusteringP2P,en,v_measure,0.3970858340673288
|
135 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Clustering,ArxivClusteringS2S,en,v_measure,0.2824284771372105
|
136 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Clustering,BiorxivClusteringP2P,en,v_measure,0.33632603955439844
|
137 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Clustering,BiorxivClusteringS2S,en,v_measure,0.27038042665369927
|
138 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Clustering,MedrxivClusteringP2P,en,v_measure,0.31374938993074253
|
139 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Clustering,MedrxivClusteringS2S,en,v_measure,0.26871455379644094
|
140 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Clustering,RedditClustering,en,v_measure,0.4023390747226228
|
141 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Clustering,RedditClusteringP2P,en,v_measure,0.49090518272935624
|
142 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Clustering,StackExchangeClustering,en,v_measure,0.5274481093815175
|
143 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Clustering,StackExchangeClusteringP2P,en,v_measure,0.3265999453562101
|
144 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Clustering,TwentyNewsgroupsClustering,en,v_measure,0.3212697126747911
|
145 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,PairClassification,SprintDuplicateQuestions,en,ap,0.8988577913120002
|
146 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,PairClassification,TwitterSemEval2015,en,ap,0.5474680676121269
|
147 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,PairClassification,TwitterURLCorpus,en,ap,0.8105760818661524
|
148 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Reranking,AskUbuntuDupQuestions,en,map,0.5583700395192394
|
149 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Reranking,MindSmallReranking,en,map,0.30402396942935334
|
150 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Reranking,SciDocsRR,en,map,0.7133941904192648
|
151 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Reranking,StackOverflowDupQuestions,en,map,0.44744984645554653
|
152 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,ArguAna,en,ndcg_at_10,0.45425
|
153 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,ClimateFEVER,en,ndcg_at_10,0.21858
|
154 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,CQADupstackRetrieval,en,ndcg_at_10,0.27248666666666665
|
155 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,DBPedia,en,ndcg_at_10,0.22718
|
156 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,FEVER,en,ndcg_at_10,0.6045
|
157 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,FiQA2018,en,ndcg_at_10,0.21118
|
158 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,HotpotQA,en,ndcg_at_10,0.40876
|
159 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,MSMARCO,en,ndcg_at_10,0.27975
|
160 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,NFCorpus,en,ndcg_at_10,0.22792
|
161 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,NQ,en,ndcg_at_10,0.29725
|
162 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,QuoraRetrieval,en,ndcg_at_10,0.7298
|
163 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,SCIDOCS,en,ndcg_at_10,0.12206
|
164 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,SciFact,en,ndcg_at_10,0.56899
|
165 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,Touche2020,en,ndcg_at_10,0.22972
|
166 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,TRECCOVID,en,ndcg_at_10,0.70302
|
167 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,BIOSSES,en,cosine_spearman,0.7520954502580506
|
168 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,SICK-R,en,cosine_spearman,0.6592910683118656
|
169 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS12,en,cosine_spearman,0.6652980061546658
|
170 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS13,en,cosine_spearman,0.7616628863742361
|
171 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS14,en,cosine_spearman,0.6904572664009687
|
172 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS15,en,cosine_spearman,0.7923677712825851
|
173 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS16,en,cosine_spearman,0.7606792422441928
|
174 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS17,ko-ko,cosine_spearman,0.5238601027550566
|
175 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS17,ar-ar,cosine_spearman,0.5561674586076298
|
176 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS17,en-ar,cosine_spearman,0.08209569244801064
|
177 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS17,en-de,cosine_spearman,0.3018181775929109
|
178 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS17,en-en,cosine_spearman,0.8495398260629698
|
179 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS17,en-tr,cosine_spearman,0.010393399782021343
|
180 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS17,es-en,cosine_spearman,0.28776666666659906
|
181 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS17,es-es,cosine_spearman,0.7188444295144646
|
182 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS17,fr-en,cosine_spearman,0.26339466714066445
|
183 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS17,it-en,cosine_spearman,0.20729929404589678
|
184 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS17,nl-en,cosine_spearman,0.2505342961279355
|
185 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,en,cosine_spearman,0.6566183708171826
|
186 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,de,cosine_spearman,0.21987647321429005
|
187 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,es,cosine_spearman,0.49811823238907665
|
188 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,pl,cosine_spearman,0.23308439517991938
|
189 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,tr,cosine_spearman,0.3466348380997687
|
190 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,ar,cosine_spearman,0.2818922448944151
|
191 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,ru,cosine_spearman,0.09068119621940965
|
192 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,zh,cosine_spearman,0.2548511383289232
|
193 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,fr,cosine_spearman,0.6766493409568727
|
194 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,de-en,cosine_spearman,0.5307135629778896
|
195 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,es-en,cosine_spearman,0.49512539047677256
|
196 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,it,cosine_spearman,0.4824795739512037
|
197 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,pl-en,cosine_spearman,0.36798674894178013
|
198 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,zh-en,cosine_spearman,0.2868170719697501
|
199 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,es-it,cosine_spearman,0.45782560880405704
|
200 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,de-fr,cosine_spearman,0.3296920218281008
|
201 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,de-pl,cosine_spearman,0.20447284723752715
|
202 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,fr-pl,cosine_spearman,0.6197797868009122
|
203 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STSBenchmark,en,cosine_spearman,0.7533716094627373
|
204 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Summarization,SummEval,en,cosine_spearman,0.2890145030911965
|
205 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Classification,average,en,accuracy,0.6072305523949799
|
206 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Clustering,average,en,v_measure,0.3579315223640289
|
207 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,PairClassification,average,en,ap,0.7523006469300931
|
208 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Reranking,average,en,map,0.505809511455851
|
209 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,average,en,ndcg_at_10,0.37036311111111125
|
210 |
+
SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,average,en,cosine_spearman,0.7341381497369455
|
evaluation/mteb/SICK-R.json
ADDED
@@ -0,0 +1,17 @@
|
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|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"test": {
|
3 |
+
"cos_sim": {
|
4 |
+
"pearson": 0.7662983928119752,
|
5 |
+
"spearman": 0.6592910683118656
|
6 |
+
},
|
7 |
+
"euclidean": {
|
8 |
+
"pearson": 0.7110290039690963,
|
9 |
+
"spearman": 0.6480076622426653
|
10 |
+
},
|
11 |
+
"evaluation_time": 6.26,
|
12 |
+
"manhattan": {
|
13 |
+
"pearson": 0.708944726230188,
|
14 |
+
"spearman": 0.6475082576033987
|
15 |
+
}
|
16 |
+
}
|
17 |
+
}
|
evaluation/mteb/STS12.json
ADDED
@@ -0,0 +1,19 @@
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|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"test": {
|
3 |
+
"cos_sim": {
|
4 |
+
"pearson": 0.7442679147085554,
|
5 |
+
"spearman": 0.6652980061546658
|
6 |
+
},
|
7 |
+
"euclidean": {
|
8 |
+
"pearson": 0.7487039477408763,
|
9 |
+
"spearman": 0.7063397666902785
|
10 |
+
},
|
11 |
+
"evaluation_time": 5.89,
|
12 |
+
"manhattan": {
|
13 |
+
"pearson": 0.7497015137513088,
|
14 |
+
"spearman": 0.7075951355434326
|
15 |
+
}
|
16 |
+
},
|
17 |
+
"dataset_version": null,
|
18 |
+
"mteb_version": "0.0.2"
|
19 |
+
}
|
evaluation/mteb/STS13.json
ADDED
@@ -0,0 +1,19 @@
|
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|
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|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"test": {
|
3 |
+
"cos_sim": {
|
4 |
+
"pearson": 0.7562472426599542,
|
5 |
+
"spearman": 0.7616628863742361
|
6 |
+
},
|
7 |
+
"euclidean": {
|
8 |
+
"pearson": 0.763297128081315,
|
9 |
+
"spearman": 0.7719385151966562
|
10 |
+
},
|
11 |
+
"evaluation_time": 3.17,
|
12 |
+
"manhattan": {
|
13 |
+
"pearson": 0.7650363291423257,
|
14 |
+
"spearman": 0.7737081896355399
|
15 |
+
}
|
16 |
+
},
|
17 |
+
"dataset_version": null,
|
18 |
+
"mteb_version": "0.0.2"
|
19 |
+
}
|