Commit
•
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
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File without changes
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evaluation/mteb/AmazonCounterfactualClassification.json
ADDED
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{
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"test": {
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"de": {
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"validation": {
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"de": {
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"main_score": 0.7372017677238578
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"en": {
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"evaluation_time": 43.78,
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"ja": {
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"accuracy": 0.5523605150214592,
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"accuracy_stderr": 0.04902106769175921,
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"ap": 0.11348392156508444,
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"ap_stderr": 0.012428212574320868,
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"main_score": 0.11348392156508444
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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/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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"ap": 0.6022809958678552,
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"ap_stderr": 0.028477219496347024,
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"evaluation_time": 12198.12,
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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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},
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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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{
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"test": {
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"de": {
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"en": {
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"main_score": 0.26386000000000004
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"ja": {
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},
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"validation": {
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"de": {
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"f1": 0.2502088133771333,
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"main_score": 0.25168
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},
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"en": {
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"accuracy": 0.32438,
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"accuracy_stderr": 0.022893920590410018,
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"f1": 0.3212565428623893,
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"f1_stderr": 0.021985479345985583,
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"main_score": 0.32438
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},
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"es": {
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| 63 |
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"accuracy": 0.26704,
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"accuracy_stderr": 0.012879068289282413,
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"f1": 0.2641578465769073,
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"main_score": 0.26704
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},
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"evaluation_time": 740.71,
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"fr": {
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"accuracy": 0.26348,
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"accuracy_stderr": 0.017907584985139675,
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"f1": 0.26220101963133713,
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"f1_stderr": 0.01807845581838548,
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"main_score": 0.26348
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},
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"ja": {
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"accuracy": 0.21562,
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"accuracy_stderr": 0.011403666077187636,
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"f1": 0.21286585397745714,
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"f1_stderr": 0.011890703738952032,
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"main_score": 0.21562
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},
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"zh": {
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"accuracy": 0.23962,
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"accuracy_stderr": 0.012780125195004927,
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"f1": 0.23540552974934634,
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"f1_stderr": 0.012407243106519977,
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"main_score": 0.23962
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}
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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/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_1": 0.22404,
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"map_at_10": 0.36845,
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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_10": 0.37034,
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"mrr_at_100": 0.38134,
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| 15 |
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"mrr_at_1000": 0.38155,
|
| 16 |
+
"mrr_at_3": 0.31935,
|
| 17 |
+
"mrr_at_5": 0.34812,
|
| 18 |
+
"ndcg_at_1": 0.22404,
|
| 19 |
+
"ndcg_at_10": 0.45425,
|
| 20 |
+
"ndcg_at_100": 0.50354,
|
| 21 |
+
"ndcg_at_1000": 0.50874,
|
| 22 |
+
"ndcg_at_3": 0.3497,
|
| 23 |
+
"ndcg_at_5": 0.40081,
|
| 24 |
+
"precision_at_1": 0.22404,
|
| 25 |
+
"precision_at_10": 0.07304,
|
| 26 |
+
"precision_at_100": 0.00951,
|
| 27 |
+
"precision_at_1000": 0.00099,
|
| 28 |
+
"precision_at_3": 0.14746,
|
| 29 |
+
"precision_at_5": 0.11337,
|
| 30 |
+
"recall_at_1": 0.22404,
|
| 31 |
+
"recall_at_10": 0.73044,
|
| 32 |
+
"recall_at_100": 0.95092,
|
| 33 |
+
"recall_at_1000": 0.99075,
|
| 34 |
+
"recall_at_3": 0.44239,
|
| 35 |
+
"recall_at_5": 0.56686
|
| 36 |
+
}
|
| 37 |
+
}
|
evaluation/mteb/ArxivClusteringP2P.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"test": {
|
| 3 |
+
"evaluation_time": 4524.41,
|
| 4 |
+
"v_measure": 0.3970858340673288,
|
| 5 |
+
"v_measure_std": 0.13892512061332984
|
| 6 |
+
},
|
| 7 |
+
"dataset_version": null,
|
| 8 |
+
"mteb_version": "0.0.2"
|
| 9 |
+
}
|
evaluation/mteb/ArxivClusteringS2S.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"test": {
|
| 3 |
+
"evaluation_time": 570.69,
|
| 4 |
+
"v_measure": 0.2824284771372105,
|
| 5 |
+
"v_measure_std": 0.14515433452032064
|
| 6 |
+
},
|
| 7 |
+
"dataset_version": null,
|
| 8 |
+
"mteb_version": "0.0.2"
|
| 9 |
+
}
|
evaluation/mteb/AskUbuntuDupQuestions.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"test": {
|
| 3 |
+
"evaluation_time": 7.06,
|
| 4 |
+
"map": 0.5583700395192394,
|
| 5 |
+
"mrr": 0.7038913072154069
|
| 6 |
+
},
|
| 7 |
+
"dataset_version": null,
|
| 8 |
+
"mteb_version": "0.0.2"
|
| 9 |
+
}
|
evaluation/mteb/BIOSSES.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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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"test": {
|
| 3 |
+
"cos_sim": {
|
| 4 |
+
"pearson": 0.7925366801756224,
|
| 5 |
+
"spearman": 0.7520954502580506
|
| 6 |
+
},
|
| 7 |
+
"euclidean": {
|
| 8 |
+
"pearson": 0.7879900722991617,
|
| 9 |
+
"spearman": 0.7779996549607588
|
| 10 |
+
},
|
| 11 |
+
"evaluation_time": 2.65,
|
| 12 |
+
"manhattan": {
|
| 13 |
+
"pearson": 0.7818408109480399,
|
| 14 |
+
"spearman": 0.7685958262303105
|
| 15 |
+
}
|
| 16 |
+
},
|
| 17 |
+
"dataset_version": null,
|
| 18 |
+
"mteb_version": "0.0.2"
|
| 19 |
+
}
|
evaluation/mteb/Banking77Classification.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"test": {
|
| 3 |
+
"accuracy": 0.7770454545454545,
|
| 4 |
+
"accuracy_stderr": 0.007521053263962387,
|
| 5 |
+
"evaluation_time": 42.98,
|
| 6 |
+
"f1": 0.7769290001138031,
|
| 7 |
+
"f1_stderr": 0.007473720123531678,
|
| 8 |
+
"main_score": 0.7770454545454545
|
| 9 |
+
},
|
| 10 |
+
"dataset_version": null,
|
| 11 |
+
"mteb_version": "0.0.2"
|
| 12 |
+
}
|
evaluation/mteb/BiorxivClusteringP2P.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"test": {
|
| 3 |
+
"evaluation_time": 553.9,
|
| 4 |
+
"v_measure": 0.33632603955439844,
|
| 5 |
+
"v_measure_std": 0.010408302575675535
|
| 6 |
+
},
|
| 7 |
+
"dataset_version": null,
|
| 8 |
+
"mteb_version": "0.0.2"
|
| 9 |
+
}
|
evaluation/mteb/BiorxivClusteringS2S.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"test": {
|
| 3 |
+
"evaluation_time": 70.35,
|
| 4 |
+
"v_measure": 0.27038042665369927,
|
| 5 |
+
"v_measure_std": 0.007785436192603769
|
| 6 |
+
},
|
| 7 |
+
"dataset_version": null,
|
| 8 |
+
"mteb_version": "0.0.2"
|
| 9 |
+
}
|
evaluation/mteb/CQADupstackAndroidRetrieval.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_version": null,
|
| 3 |
+
"mteb_version": "0.0.2",
|
| 4 |
+
"test": {
|
| 5 |
+
"evaluation_time": 64.44,
|
| 6 |
+
"map_at_1": 0.22139,
|
| 7 |
+
"map_at_10": 0.28839,
|
| 8 |
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"map_at_100": 0.30023,
|
| 9 |
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"map_at_1000": 0.30153,
|
| 10 |
+
"map_at_3": 0.26521,
|
| 11 |
+
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|
| 12 |
+
"mrr_at_1": 0.26466,
|
| 13 |
+
"mrr_at_10": 0.33495,
|
| 14 |
+
"mrr_at_100": 0.34417,
|
| 15 |
+
"mrr_at_1000": 0.34485,
|
| 16 |
+
"mrr_at_3": 0.31402,
|
| 17 |
+
"mrr_at_5": 0.32496,
|
| 18 |
+
"ndcg_at_1": 0.26466,
|
| 19 |
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"ndcg_at_10": 0.33372,
|
| 20 |
+
"ndcg_at_100": 0.387,
|
| 21 |
+
"ndcg_at_1000": 0.41696,
|
| 22 |
+
"ndcg_at_3": 0.29443,
|
| 23 |
+
"ndcg_at_5": 0.31121,
|
| 24 |
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"precision_at_1": 0.26466,
|
| 25 |
+
"precision_at_10": 0.06037,
|
| 26 |
+
"precision_at_100": 0.01067,
|
| 27 |
+
"precision_at_1000": 0.00162,
|
| 28 |
+
"precision_at_3": 0.13782,
|
| 29 |
+
"precision_at_5": 0.09757,
|
| 30 |
+
"recall_at_1": 0.22139,
|
| 31 |
+
"recall_at_10": 0.4239,
|
| 32 |
+
"recall_at_100": 0.65427,
|
| 33 |
+
"recall_at_1000": 0.86049,
|
| 34 |
+
"recall_at_3": 0.31127,
|
| 35 |
+
"recall_at_5": 0.35718
|
| 36 |
+
}
|
| 37 |
+
}
|
evaluation/mteb/CQADupstackEnglishRetrieval.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_version": null,
|
| 3 |
+
"mteb_version": "0.0.2",
|
| 4 |
+
"test": {
|
| 5 |
+
"evaluation_time": 95.23,
|
| 6 |
+
"map_at_1": 0.20652,
|
| 7 |
+
"map_at_10": 0.27558,
|
| 8 |
+
"map_at_100": 0.28473,
|
| 9 |
+
"map_at_1000": 0.28577,
|
| 10 |
+
"map_at_3": 0.25402,
|
| 11 |
+
"map_at_5": 0.2668,
|
| 12 |
+
"mrr_at_1": 0.25223,
|
| 13 |
+
"mrr_at_10": 0.31966,
|
| 14 |
+
"mrr_at_100": 0.32664,
|
| 15 |
+
"mrr_at_1000": 0.32724,
|
| 16 |
+
"mrr_at_3": 0.30074,
|
| 17 |
+
"mrr_at_5": 0.31249,
|
| 18 |
+
"ndcg_at_1": 0.25223,
|
| 19 |
+
"ndcg_at_10": 0.31694,
|
| 20 |
+
"ndcg_at_100": 0.35662,
|
| 21 |
+
"ndcg_at_1000": 0.38092,
|
| 22 |
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"ndcg_at_3": 0.28294,
|
| 23 |
+
"ndcg_at_5": 0.30049,
|
| 24 |
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"precision_at_1": 0.25223,
|
| 25 |
+
"precision_at_10": 0.05777,
|
| 26 |
+
"precision_at_100": 0.00973,
|
| 27 |
+
"precision_at_1000": 0.0014,
|
| 28 |
+
"precision_at_3": 0.13397,
|
| 29 |
+
"precision_at_5": 0.09605,
|
| 30 |
+
"recall_at_1": 0.20652,
|
| 31 |
+
"recall_at_10": 0.39368,
|
| 32 |
+
"recall_at_100": 0.56485,
|
| 33 |
+
"recall_at_1000": 0.73292,
|
| 34 |
+
"recall_at_3": 0.2983,
|
| 35 |
+
"recall_at_5": 0.3443
|
| 36 |
+
}
|
| 37 |
+
}
|
evaluation/mteb/CQADupstackGamingRetrieval.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_version": null,
|
| 3 |
+
"mteb_version": "0.0.2",
|
| 4 |
+
"test": {
|
| 5 |
+
"evaluation_time": 104.86,
|
| 6 |
+
"map_at_1": 0.2518,
|
| 7 |
+
"map_at_10": 0.34579,
|
| 8 |
+
"map_at_100": 0.3559,
|
| 9 |
+
"map_at_1000": 0.3568,
|
| 10 |
+
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|
| 11 |
+
"map_at_5": 0.33479,
|
| 12 |
+
"mrr_at_1": 0.29467,
|
| 13 |
+
"mrr_at_10": 0.37967,
|
| 14 |
+
"mrr_at_100": 0.388,
|
| 15 |
+
"mrr_at_1000": 0.38858,
|
| 16 |
+
"mrr_at_3": 0.35465,
|
| 17 |
+
"mrr_at_5": 0.37057,
|
| 18 |
+
"ndcg_at_1": 0.29467,
|
| 19 |
+
"ndcg_at_10": 0.39796,
|
| 20 |
+
"ndcg_at_100": 0.44531,
|
| 21 |
+
"ndcg_at_1000": 0.46666,
|
| 22 |
+
"ndcg_at_3": 0.34676,
|
| 23 |
+
"ndcg_at_5": 0.37468,
|
| 24 |
+
"precision_at_1": 0.29467,
|
| 25 |
+
"precision_at_10": 0.06602,
|
| 26 |
+
"precision_at_100": 0.0099,
|
| 27 |
+
"precision_at_1000": 0.00124,
|
| 28 |
+
"precision_at_3": 0.15569,
|
| 29 |
+
"precision_at_5": 0.11172,
|
| 30 |
+
"recall_at_1": 0.2518,
|
| 31 |
+
"recall_at_10": 0.52269,
|
| 32 |
+
"recall_at_100": 0.73574,
|
| 33 |
+
"recall_at_1000": 0.89141,
|
| 34 |
+
"recall_at_3": 0.38522,
|
| 35 |
+
"recall_at_5": 0.45323
|
| 36 |
+
}
|
| 37 |
+
}
|
evaluation/mteb/CQADupstackGisRetrieval.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_version": null,
|
| 3 |
+
"mteb_version": "0.0.2",
|
| 4 |
+
"test": {
|
| 5 |
+
"evaluation_time": 141.33,
|
| 6 |
+
"map_at_1": 0.16303,
|
| 7 |
+
"map_at_10": 0.21629,
|
| 8 |
+
"map_at_100": 0.22388,
|
| 9 |
+
"map_at_1000": 0.22489,
|
| 10 |
+
"map_at_3": 0.19608,
|
| 11 |
+
"map_at_5": 0.20774,
|
| 12 |
+
"mrr_at_1": 0.1774,
|
| 13 |
+
"mrr_at_10": 0.23214,
|
| 14 |
+
"mrr_at_100": 0.2397,
|
| 15 |
+
"mrr_at_1000": 0.24054,
|
| 16 |
+
"mrr_at_3": 0.21243,
|
| 17 |
+
"mrr_at_5": 0.22322,
|
| 18 |
+
"ndcg_at_1": 0.1774,
|
| 19 |
+
"ndcg_at_10": 0.25113,
|
| 20 |
+
"ndcg_at_100": 0.29288,
|
| 21 |
+
"ndcg_at_1000": 0.32204,
|
| 22 |
+
"ndcg_at_3": 0.21111,
|
| 23 |
+
"ndcg_at_5": 0.23062,
|
| 24 |
+
"precision_at_1": 0.1774,
|
| 25 |
+
"precision_at_10": 0.03955,
|
| 26 |
+
"precision_at_100": 0.00644,
|
| 27 |
+
"precision_at_1000": 0.00093,
|
| 28 |
+
"precision_at_3": 0.08851,
|
| 29 |
+
"precision_at_5": 0.06418,
|
| 30 |
+
"recall_at_1": 0.16303,
|
| 31 |
+
"recall_at_10": 0.34487,
|
| 32 |
+
"recall_at_100": 0.54414,
|
| 33 |
+
"recall_at_1000": 0.77158,
|
| 34 |
+
"recall_at_3": 0.23733,
|
| 35 |
+
"recall_at_5": 0.28381
|
| 36 |
+
}
|
| 37 |
+
}
|
evaluation/mteb/CQADupstackMathematicaRetrieval.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_version": null,
|
| 3 |
+
"mteb_version": "0.0.2",
|
| 4 |
+
"test": {
|
| 5 |
+
"evaluation_time": 78.71,
|
| 6 |
+
"map_at_1": 0.10133,
|
| 7 |
+
"map_at_10": 0.15666,
|
| 8 |
+
"map_at_100": 0.16592,
|
| 9 |
+
"map_at_1000": 0.16734,
|
| 10 |
+
"map_at_3": 0.13625,
|
| 11 |
+
"map_at_5": 0.14721,
|
| 12 |
+
"mrr_at_1": 0.12562,
|
| 13 |
+
"mrr_at_10": 0.18487,
|
| 14 |
+
"mrr_at_100": 0.19391,
|
| 15 |
+
"mrr_at_1000": 0.19487,
|
| 16 |
+
"mrr_at_3": 0.16418,
|
| 17 |
+
"mrr_at_5": 0.176,
|
| 18 |
+
"ndcg_at_1": 0.12562,
|
| 19 |
+
"ndcg_at_10": 0.1943,
|
| 20 |
+
"ndcg_at_100": 0.24546,
|
| 21 |
+
"ndcg_at_1000": 0.28193,
|
| 22 |
+
"ndcg_at_3": 0.1551,
|
| 23 |
+
"ndcg_at_5": 0.17322,
|
| 24 |
+
"precision_at_1": 0.12562,
|
| 25 |
+
"precision_at_10": 0.03794,
|
| 26 |
+
"precision_at_100": 0.0074,
|
| 27 |
+
"precision_at_1000": 0.00122,
|
| 28 |
+
"precision_at_3": 0.07546,
|
| 29 |
+
"precision_at_5": 0.05721,
|
| 30 |
+
"recall_at_1": 0.10133,
|
| 31 |
+
"recall_at_10": 0.28262,
|
| 32 |
+
"recall_at_100": 0.51743,
|
| 33 |
+
"recall_at_1000": 0.78075,
|
| 34 |
+
"recall_at_3": 0.17634,
|
| 35 |
+
"recall_at_5": 0.22129
|
| 36 |
+
}
|
| 37 |
+
}
|
evaluation/mteb/CQADupstackPhysicsRetrieval.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_version": null,
|
| 3 |
+
"mteb_version": "0.0.2",
|
| 4 |
+
"test": {
|
| 5 |
+
"evaluation_time": 136.6,
|
| 6 |
+
"map_at_1": 0.19992,
|
| 7 |
+
"map_at_10": 0.27347,
|
| 8 |
+
"map_at_100": 0.28582,
|
| 9 |
+
"map_at_1000": 0.28716,
|
| 10 |
+
"map_at_3": 0.24907,
|
| 11 |
+
"map_at_5": 0.261,
|
| 12 |
+
"mrr_at_1": 0.23773,
|
| 13 |
+
"mrr_at_10": 0.31647,
|
| 14 |
+
"mrr_at_100": 0.32639,
|
| 15 |
+
"mrr_at_1000": 0.32706,
|
| 16 |
+
"mrr_at_3": 0.29195,
|
| 17 |
+
"mrr_at_5": 0.30484,
|
| 18 |
+
"ndcg_at_1": 0.23773,
|
| 19 |
+
"ndcg_at_10": 0.32322,
|
| 20 |
+
"ndcg_at_100": 0.37996,
|
| 21 |
+
"ndcg_at_1000": 0.40819,
|
| 22 |
+
"ndcg_at_3": 0.27876,
|
| 23 |
+
"ndcg_at_5": 0.29664,
|
| 24 |
+
"precision_at_1": 0.23773,
|
| 25 |
+
"precision_at_10": 0.05977,
|
| 26 |
+
"precision_at_100": 0.01055,
|
| 27 |
+
"precision_at_1000": 0.0015,
|
| 28 |
+
"precision_at_3": 0.13122,
|
| 29 |
+
"precision_at_5": 0.09451,
|
| 30 |
+
"recall_at_1": 0.19992,
|
| 31 |
+
"recall_at_10": 0.43106,
|
| 32 |
+
"recall_at_100": 0.67264,
|
| 33 |
+
"recall_at_1000": 0.86386,
|
| 34 |
+
"recall_at_3": 0.30392,
|
| 35 |
+
"recall_at_5": 0.34911
|
| 36 |
+
}
|
| 37 |
+
}
|
evaluation/mteb/CQADupstackProgrammersRetrieval.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_version": null,
|
| 3 |
+
"mteb_version": "0.0.2",
|
| 4 |
+
"test": {
|
| 5 |
+
"evaluation_time": 130.5,
|
| 6 |
+
"map_at_1": 0.17896,
|
| 7 |
+
"map_at_10": 0.24644,
|
| 8 |
+
"map_at_100": 0.2579,
|
| 9 |
+
"map_at_1000": 0.25914,
|
| 10 |
+
"map_at_3": 0.22694,
|
| 11 |
+
"map_at_5": 0.2369,
|
| 12 |
+
"mrr_at_1": 0.21347,
|
| 13 |
+
"mrr_at_10": 0.28594,
|
| 14 |
+
"mrr_at_100": 0.29544,
|
| 15 |
+
"mrr_at_1000": 0.29621,
|
| 16 |
+
"mrr_at_3": 0.26807,
|
| 17 |
+
"mrr_at_5": 0.27669,
|
| 18 |
+
"ndcg_at_1": 0.21347,
|
| 19 |
+
"ndcg_at_10": 0.28833,
|
| 20 |
+
"ndcg_at_100": 0.34272,
|
| 21 |
+
"ndcg_at_1000": 0.37355,
|
| 22 |
+
"ndcg_at_3": 0.25373,
|
| 23 |
+
"ndcg_at_5": 0.26756,
|
| 24 |
+
"precision_at_1": 0.21347,
|
| 25 |
+
"precision_at_10": 0.05217,
|
| 26 |
+
"precision_at_100": 0.00954,
|
| 27 |
+
"precision_at_1000": 0.00139,
|
| 28 |
+
"precision_at_3": 0.11948,
|
| 29 |
+
"precision_at_5": 0.08425,
|
| 30 |
+
"recall_at_1": 0.17896,
|
| 31 |
+
"recall_at_10": 0.37291,
|
| 32 |
+
"recall_at_100": 0.61138,
|
| 33 |
+
"recall_at_1000": 0.83212,
|
| 34 |
+
"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 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_version": null,
|
| 3 |
+
"mteb_version": "0.0.2",
|
| 4 |
+
"test": {
|
| 5 |
+
"evaluation_time": 177.3,
|
| 6 |
+
"map_at_1": 0.16779,
|
| 7 |
+
"map_at_10": 0.21557,
|
| 8 |
+
"map_at_100": 0.22338,
|
| 9 |
+
"map_at_1000": 0.22421,
|
| 10 |
+
"map_at_3": 0.19939,
|
| 11 |
+
"map_at_5": 0.20903,
|
| 12 |
+
"mrr_at_1": 0.18405,
|
| 13 |
+
"mrr_at_10": 0.23435,
|
| 14 |
+
"mrr_at_100": 0.24179,
|
| 15 |
+
"mrr_at_1000": 0.2425,
|
| 16 |
+
"mrr_at_3": 0.21907,
|
| 17 |
+
"mrr_at_5": 0.22781,
|
| 18 |
+
"ndcg_at_1": 0.18405,
|
| 19 |
+
"ndcg_at_10": 0.24515,
|
| 20 |
+
"ndcg_at_100": 0.28721,
|
| 21 |
+
"ndcg_at_1000": 0.3126,
|
| 22 |
+
"ndcg_at_3": 0.21508,
|
| 23 |
+
"ndcg_at_5": 0.2301,
|
| 24 |
+
"precision_at_1": 0.18405,
|
| 25 |
+
"precision_at_10": 0.03834,
|
| 26 |
+
"precision_at_100": 0.00641,
|
| 27 |
+
"precision_at_1000": 0.00093,
|
| 28 |
+
"precision_at_3": 0.09151,
|
| 29 |
+
"precision_at_5": 0.06503,
|
| 30 |
+
"recall_at_1": 0.16779,
|
| 31 |
+
"recall_at_10": 0.3173,
|
| 32 |
+
"recall_at_100": 0.51673,
|
| 33 |
+
"recall_at_1000": 0.71176,
|
| 34 |
+
"recall_at_3": 0.23518,
|
| 35 |
+
"recall_at_5": 0.27231
|
| 36 |
+
}
|
| 37 |
+
}
|
evaluation/mteb/CQADupstackTexRetrieval.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_version": null,
|
| 3 |
+
"mteb_version": "0.0.2",
|
| 4 |
+
"test": {
|
| 5 |
+
"evaluation_time": 300.62,
|
| 6 |
+
"map_at_1": 0.09279,
|
| 7 |
+
"map_at_10": 0.13822,
|
| 8 |
+
"map_at_100": 0.14533,
|
| 9 |
+
"map_at_1000": 0.1465,
|
| 10 |
+
"map_at_3": 0.12396,
|
| 11 |
+
"map_at_5": 0.13214,
|
| 12 |
+
"mrr_at_1": 0.11149,
|
| 13 |
+
"mrr_at_10": 0.16139,
|
| 14 |
+
"mrr_at_100": 0.16872,
|
| 15 |
+
"mrr_at_1000": 0.16964,
|
| 16 |
+
"mrr_at_3": 0.14613,
|
| 17 |
+
"mrr_at_5": 0.15486,
|
| 18 |
+
"ndcg_at_1": 0.11149,
|
| 19 |
+
"ndcg_at_10": 0.1682,
|
| 20 |
+
"ndcg_at_100": 0.2073,
|
| 21 |
+
"ndcg_at_1000": 0.23894,
|
| 22 |
+
"ndcg_at_3": 0.1411,
|
| 23 |
+
"ndcg_at_5": 0.15404,
|
| 24 |
+
"precision_at_1": 0.11149,
|
| 25 |
+
"precision_at_10": 0.03063,
|
| 26 |
+
"precision_at_100": 0.00587,
|
| 27 |
+
"precision_at_1000": 0.001,
|
| 28 |
+
"precision_at_3": 0.06699,
|
| 29 |
+
"precision_at_5": 0.04928,
|
| 30 |
+
"recall_at_1": 0.09279,
|
| 31 |
+
"recall_at_10": 0.23745,
|
| 32 |
+
"recall_at_100": 0.41873,
|
| 33 |
+
"recall_at_1000": 0.64982,
|
| 34 |
+
"recall_at_3": 0.16152,
|
| 35 |
+
"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 |
+
"evaluation_time": 185.1,
|
| 6 |
+
"map_at_1": 0.1636,
|
| 7 |
+
"map_at_10": 0.21927,
|
| 8 |
+
"map_at_100": 0.22889,
|
| 9 |
+
"map_at_1000": 0.22994,
|
| 10 |
+
"map_at_3": 0.20433,
|
| 11 |
+
"map_at_5": 0.21337,
|
| 12 |
+
"mrr_at_1": 0.1875,
|
| 13 |
+
"mrr_at_10": 0.24859,
|
| 14 |
+
"mrr_at_100": 0.25747,
|
| 15 |
+
"mrr_at_1000": 0.25829,
|
| 16 |
+
"mrr_at_3": 0.23383,
|
| 17 |
+
"mrr_at_5": 0.24297,
|
| 18 |
+
"ndcg_at_1": 0.1875,
|
| 19 |
+
"ndcg_at_10": 0.25372,
|
| 20 |
+
"ndcg_at_100": 0.30343,
|
| 21 |
+
"ndcg_at_1000": 0.33286,
|
| 22 |
+
"ndcg_at_3": 0.22627,
|
| 23 |
+
"ndcg_at_5": 0.2404,
|
| 24 |
+
"precision_at_1": 0.1875,
|
| 25 |
+
"precision_at_10": 0.04142,
|
| 26 |
+
"precision_at_100": 0.00738,
|
| 27 |
+
"precision_at_1000": 0.00111,
|
| 28 |
+
"precision_at_3": 0.10261,
|
| 29 |
+
"precision_at_5": 0.07164,
|
| 30 |
+
"recall_at_1": 0.1636,
|
| 31 |
+
"recall_at_10": 0.32949,
|
| 32 |
+
"recall_at_100": 0.55552,
|
| 33 |
+
"recall_at_1000": 0.77099,
|
| 34 |
+
"recall_at_3": 0.25538,
|
| 35 |
+
"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 |
+
"map_at_1": 0.1739,
|
| 7 |
+
"map_at_10": 0.23058,
|
| 8 |
+
"map_at_100": 0.24445,
|
| 9 |
+
"map_at_1000": 0.24638,
|
| 10 |
+
"map_at_3": 0.21037,
|
| 11 |
+
"map_at_5": 0.21966,
|
| 12 |
+
"mrr_at_1": 0.1996,
|
| 13 |
+
"mrr_at_10": 0.26301,
|
| 14 |
+
"mrr_at_100": 0.27297,
|
| 15 |
+
"mrr_at_1000": 0.27375,
|
| 16 |
+
"mrr_at_3": 0.24341,
|
| 17 |
+
"mrr_at_5": 0.25339,
|
| 18 |
+
"ndcg_at_1": 0.1996,
|
| 19 |
+
"ndcg_at_10": 0.27249,
|
| 20 |
+
"ndcg_at_100": 0.32997,
|
| 21 |
+
"ndcg_at_1000": 0.36359,
|
| 22 |
+
"ndcg_at_3": 0.23519,
|
| 23 |
+
"ndcg_at_5": 0.24915,
|
| 24 |
+
"precision_at_1": 0.1996,
|
| 25 |
+
"precision_at_10": 0.05356,
|
| 26 |
+
"precision_at_100": 0.01198,
|
| 27 |
+
"precision_at_1000": 0.00204,
|
| 28 |
+
"precision_at_3": 0.10738,
|
| 29 |
+
"precision_at_5": 0.07905,
|
| 30 |
+
"recall_at_1": 0.1739,
|
| 31 |
+
"recall_at_10": 0.35255,
|
| 32 |
+
"recall_at_100": 0.61351,
|
| 33 |
+
"recall_at_1000": 0.84395,
|
| 34 |
+
"recall_at_3": 0.25194,
|
| 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 |
+
"map_at_10": 0.19323,
|
| 8 |
+
"map_at_100": 0.19994,
|
| 9 |
+
"map_at_1000": 0.20103,
|
| 10 |
+
"map_at_3": 0.17631,
|
| 11 |
+
"map_at_5": 0.18401,
|
| 12 |
+
"mrr_at_1": 0.15157,
|
| 13 |
+
"mrr_at_10": 0.20578,
|
| 14 |
+
"mrr_at_100": 0.21252,
|
| 15 |
+
"mrr_at_1000": 0.21347,
|
| 16 |
+
"mrr_at_3": 0.18762,
|
| 17 |
+
"mrr_at_5": 0.19713,
|
| 18 |
+
"ndcg_at_1": 0.15157,
|
| 19 |
+
"ndcg_at_10": 0.22468,
|
| 20 |
+
"ndcg_at_100": 0.26245,
|
| 21 |
+
"ndcg_at_1000": 0.29534,
|
| 22 |
+
"ndcg_at_3": 0.18981,
|
| 23 |
+
"ndcg_at_5": 0.2035,
|
| 24 |
+
"precision_at_1": 0.15157,
|
| 25 |
+
"precision_at_10": 0.03512,
|
| 26 |
+
"precision_at_100": 0.00577,
|
| 27 |
+
"precision_at_1000": 0.00091,
|
| 28 |
+
"precision_at_3": 0.0801,
|
| 29 |
+
"precision_at_5": 0.05656,
|
| 30 |
+
"recall_at_1": 0.14239,
|
| 31 |
+
"recall_at_10": 0.31038,
|
| 32 |
+
"recall_at_100": 0.49122,
|
| 33 |
+
"recall_at_1000": 0.74919,
|
| 34 |
+
"recall_at_3": 0.21436,
|
| 35 |
+
"recall_at_5": 0.24692
|
| 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 |
+
"evaluation_time": 3210.96,
|
| 6 |
+
"map_at_1": 0.08828,
|
| 7 |
+
"map_at_10": 0.14982,
|
| 8 |
+
"map_at_100": 0.16495,
|
| 9 |
+
"map_at_1000": 0.16658,
|
| 10 |
+
"map_at_3": 0.12366,
|
| 11 |
+
"map_at_5": 0.13655,
|
| 12 |
+
"mrr_at_1": 0.19088,
|
| 13 |
+
"mrr_at_10": 0.2929,
|
| 14 |
+
"mrr_at_100": 0.30291,
|
| 15 |
+
"mrr_at_1000": 0.30342,
|
| 16 |
+
"mrr_at_3": 0.25907,
|
| 17 |
+
"mrr_at_5": 0.27841,
|
| 18 |
+
"ndcg_at_1": 0.19088,
|
| 19 |
+
"ndcg_at_10": 0.21858,
|
| 20 |
+
"ndcg_at_100": 0.28324,
|
| 21 |
+
"ndcg_at_1000": 0.31561,
|
| 22 |
+
"ndcg_at_3": 0.17175,
|
| 23 |
+
"ndcg_at_5": 0.18869,
|
| 24 |
+
"precision_at_1": 0.19088,
|
| 25 |
+
"precision_at_10": 0.06919,
|
| 26 |
+
"precision_at_100": 0.01376,
|
| 27 |
+
"precision_at_1000": 0.00197,
|
| 28 |
+
"precision_at_3": 0.12704,
|
| 29 |
+
"precision_at_5": 0.09993,
|
| 30 |
+
"recall_at_1": 0.08828,
|
| 31 |
+
"recall_at_10": 0.27381,
|
| 32 |
+
"recall_at_100": 0.5,
|
| 33 |
+
"recall_at_1000": 0.68355,
|
| 34 |
+
"recall_at_3": 0.16118,
|
| 35 |
+
"recall_at_5": 0.20587
|
| 36 |
+
}
|
| 37 |
+
}
|
evaluation/mteb/DBPedia.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_version": null,
|
| 3 |
+
"mteb_version": "0.0.2",
|
| 4 |
+
"test": {
|
| 5 |
+
"evaluation_time": 2312.27,
|
| 6 |
+
"map_at_1": 0.05586,
|
| 7 |
+
"map_at_10": 0.1004,
|
| 8 |
+
"map_at_100": 0.1255,
|
| 9 |
+
"map_at_1000": 0.13124,
|
| 10 |
+
"map_at_3": 0.0775,
|
| 11 |
+
"map_at_5": 0.08836,
|
| 12 |
+
"mrr_at_1": 0.4225,
|
| 13 |
+
"mrr_at_10": 0.51206,
|
| 14 |
+
"mrr_at_100": 0.51818,
|
| 15 |
+
"mrr_at_1000": 0.51855,
|
| 16 |
+
"mrr_at_3": 0.48875,
|
| 17 |
+
"mrr_at_5": 0.50488,
|
| 18 |
+
"ndcg_at_1": 0.3225,
|
| 19 |
+
"ndcg_at_10": 0.22718,
|
| 20 |
+
"ndcg_at_100": 0.24359,
|
| 21 |
+
"ndcg_at_1000": 0.29232,
|
| 22 |
+
"ndcg_at_3": 0.25974,
|
| 23 |
+
"ndcg_at_5": 0.24292,
|
| 24 |
+
"precision_at_1": 0.4225,
|
| 25 |
+
"precision_at_10": 0.1775,
|
| 26 |
+
"precision_at_100": 0.05032,
|
| 27 |
+
"precision_at_1000": 0.01117,
|
| 28 |
+
"precision_at_3": 0.28833,
|
| 29 |
+
"precision_at_5": 0.2425,
|
| 30 |
+
"recall_at_1": 0.05586,
|
| 31 |
+
"recall_at_10": 0.1416,
|
| 32 |
+
"recall_at_100": 0.28051,
|
| 33 |
+
"recall_at_1000": 0.45157,
|
| 34 |
+
"recall_at_3": 0.08758,
|
| 35 |
+
"recall_at_5": 0.10976
|
| 36 |
+
}
|
| 37 |
+
}
|
evaluation/mteb/EmotionClassification.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"test": {
|
| 3 |
+
"accuracy": 0.39075000000000004,
|
| 4 |
+
"accuracy_stderr": 0.02011000994529839,
|
| 5 |
+
"evaluation_time": 21.65,
|
| 6 |
+
"f1": 0.3501420354708222,
|
| 7 |
+
"f1_stderr": 0.015595291440010818,
|
| 8 |
+
"main_score": 0.39075000000000004
|
| 9 |
+
},
|
| 10 |
+
"validation": {
|
| 11 |
+
"accuracy": 0.40695,
|
| 12 |
+
"accuracy_stderr": 0.03307298746711582,
|
| 13 |
+
"evaluation_time": 24.95,
|
| 14 |
+
"f1": 0.3668185447111504,
|
| 15 |
+
"f1_stderr": 0.02395586698305724,
|
| 16 |
+
"main_score": 0.40695
|
| 17 |
+
},
|
| 18 |
+
"dataset_version": null,
|
| 19 |
+
"mteb_version": "0.0.2"
|
| 20 |
+
}
|
evaluation/mteb/FEVER.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_version": null,
|
| 3 |
+
"mteb_version": "0.0.2",
|
| 4 |
+
"test": {
|
| 5 |
+
"evaluation_time": 4114.33,
|
| 6 |
+
"map_at_1": 0.4352,
|
| 7 |
+
"map_at_10": 0.54368,
|
| 8 |
+
"map_at_100": 0.54918,
|
| 9 |
+
"map_at_1000": 0.54942,
|
| 10 |
+
"map_at_3": 0.51712,
|
| 11 |
+
"map_at_5": 0.53336,
|
| 12 |
+
"mrr_at_1": 0.46955,
|
| 13 |
+
"mrr_at_10": 0.58219,
|
| 14 |
+
"mrr_at_100": 0.58735,
|
| 15 |
+
"mrr_at_1000": 0.58753,
|
| 16 |
+
"mrr_at_3": 0.55518,
|
| 17 |
+
"mrr_at_5": 0.57191,
|
| 18 |
+
"ndcg_at_1": 0.46955,
|
| 19 |
+
"ndcg_at_10": 0.6045,
|
| 20 |
+
"ndcg_at_100": 0.63047,
|
| 21 |
+
"ndcg_at_1000": 0.63713,
|
| 22 |
+
"ndcg_at_3": 0.55233,
|
| 23 |
+
"ndcg_at_5": 0.58072,
|
| 24 |
+
"precision_at_1": 0.46955,
|
| 25 |
+
"precision_at_10": 0.08267,
|
| 26 |
+
"precision_at_100": 0.00962,
|
| 27 |
+
"precision_at_1000": 0.00103,
|
| 28 |
+
"precision_at_3": 0.22327,
|
| 29 |
+
"precision_at_5": 0.14941,
|
| 30 |
+
"recall_at_1": 0.4352,
|
| 31 |
+
"recall_at_10": 0.75632,
|
| 32 |
+
"recall_at_100": 0.87416,
|
| 33 |
+
"recall_at_1000": 0.92557,
|
| 34 |
+
"recall_at_3": 0.61597,
|
| 35 |
+
"recall_at_5": 0.68518
|
| 36 |
+
}
|
| 37 |
+
}
|
evaluation/mteb/FiQA2018.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_version": null,
|
| 3 |
+
"mteb_version": "0.0.2",
|
| 4 |
+
"test": {
|
| 5 |
+
"evaluation_time": 127.8,
|
| 6 |
+
"map_at_1": 0.09549,
|
| 7 |
+
"map_at_10": 0.15762,
|
| 8 |
+
"map_at_100": 0.17142,
|
| 9 |
+
"map_at_1000": 0.17329,
|
| 10 |
+
"map_at_3": 0.13575,
|
| 11 |
+
"map_at_5": 0.14754,
|
| 12 |
+
"mrr_at_1": 0.19753,
|
| 13 |
+
"mrr_at_10": 0.26568,
|
| 14 |
+
"mrr_at_100": 0.27606,
|
| 15 |
+
"mrr_at_1000": 0.2768,
|
| 16 |
+
"mrr_at_3": 0.24203,
|
| 17 |
+
"mrr_at_5": 0.25669,
|
| 18 |
+
"ndcg_at_1": 0.19753,
|
| 19 |
+
"ndcg_at_10": 0.21118,
|
| 20 |
+
"ndcg_at_100": 0.27308,
|
| 21 |
+
"ndcg_at_1000": 0.31304,
|
| 22 |
+
"ndcg_at_3": 0.18319,
|
| 23 |
+
"ndcg_at_5": 0.19414,
|
| 24 |
+
"precision_at_1": 0.19753,
|
| 25 |
+
"precision_at_10": 0.0608,
|
| 26 |
+
"precision_at_100": 0.01204,
|
| 27 |
+
"precision_at_1000": 0.00192,
|
| 28 |
+
"precision_at_3": 0.12191,
|
| 29 |
+
"precision_at_5": 0.09383,
|
| 30 |
+
"recall_at_1": 0.09549,
|
| 31 |
+
"recall_at_10": 0.26131,
|
| 32 |
+
"recall_at_100": 0.50545,
|
| 33 |
+
"recall_at_1000": 0.74968,
|
| 34 |
+
"recall_at_3": 0.16951,
|
| 35 |
+
"recall_at_5": 0.2095
|
| 36 |
+
}
|
| 37 |
+
}
|
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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|
|
|
|
|
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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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|
|
|
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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 |
+
"evaluation_time": 3659.36,
|
| 6 |
+
"map_at_1": 0.25544,
|
| 7 |
+
"map_at_10": 0.3262,
|
| 8 |
+
"map_at_100": 0.33275,
|
| 9 |
+
"map_at_1000": 0.33344,
|
| 10 |
+
"map_at_3": 0.30851,
|
| 11 |
+
"map_at_5": 0.31869,
|
| 12 |
+
"mrr_at_1": 0.51087,
|
| 13 |
+
"mrr_at_10": 0.57704,
|
| 14 |
+
"mrr_at_100": 0.58175,
|
| 15 |
+
"mrr_at_1000": 0.58207,
|
| 16 |
+
"mrr_at_3": 0.56106,
|
| 17 |
+
"mrr_at_5": 0.57074,
|
| 18 |
+
"ndcg_at_1": 0.51087,
|
| 19 |
+
"ndcg_at_10": 0.40876,
|
| 20 |
+
"ndcg_at_100": 0.43762,
|
| 21 |
+
"ndcg_at_1000": 0.45423,
|
| 22 |
+
"ndcg_at_3": 0.3765,
|
| 23 |
+
"ndcg_at_5": 0.39305,
|
| 24 |
+
"precision_at_1": 0.51087,
|
| 25 |
+
"precision_at_10": 0.08304,
|
| 26 |
+
"precision_at_100": 0.01059,
|
| 27 |
+
"precision_at_1000": 0.00128,
|
| 28 |
+
"precision_at_3": 0.22876,
|
| 29 |
+
"precision_at_5": 0.15033,
|
| 30 |
+
"recall_at_1": 0.25544,
|
| 31 |
+
"recall_at_10": 0.41519,
|
| 32 |
+
"recall_at_100": 0.52957,
|
| 33 |
+
"recall_at_1000": 0.64132,
|
| 34 |
+
"recall_at_3": 0.34315,
|
| 35 |
+
"recall_at_5": 0.37583
|
| 36 |
+
}
|
| 37 |
+
}
|
evaluation/mteb/ImdbClassification.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
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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 |
+
"accuracy": 0.586696,
|
| 4 |
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"accuracy_stderr": 0.04366294612139682,
|
| 5 |
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"ap": 0.553644880984279,
|
| 6 |
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"ap_stderr": 0.02927763434288163,
|
| 7 |
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"evaluation_time": 1493.91,
|
| 8 |
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"f1": 0.5807942097405652,
|
| 9 |
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"f1_stderr": 0.046729535979483976,
|
| 10 |
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"main_score": 0.586696
|
| 11 |
+
},
|
| 12 |
+
"dataset_version": null,
|
| 13 |
+
"mteb_version": "0.0.2"
|
| 14 |
+
}
|
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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|
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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 |
+
"validation": {
|
| 5 |
+
"evaluation_time": 6441.95,
|
| 6 |
+
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|
| 7 |
+
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|
| 8 |
+
"map_at_100": 0.24132,
|
| 9 |
+
"map_at_1000": 0.24213,
|
| 10 |
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"map_at_3": 0.20002,
|
| 11 |
+
"map_at_5": 0.21636,
|
| 12 |
+
"mrr_at_1": 0.14842,
|
| 13 |
+
"mrr_at_10": 0.23416,
|
| 14 |
+
"mrr_at_100": 0.24594,
|
| 15 |
+
"mrr_at_1000": 0.24669,
|
| 16 |
+
"mrr_at_3": 0.20494,
|
| 17 |
+
"mrr_at_5": 0.2214,
|
| 18 |
+
"ndcg_at_1": 0.14842,
|
| 19 |
+
"ndcg_at_10": 0.27975,
|
| 20 |
+
"ndcg_at_100": 0.34143,
|
| 21 |
+
"ndcg_at_1000": 0.3637,
|
| 22 |
+
"ndcg_at_3": 0.21944,
|
| 23 |
+
"ndcg_at_5": 0.24881,
|
| 24 |
+
"precision_at_1": 0.14842,
|
| 25 |
+
"precision_at_10": 0.04537,
|
| 26 |
+
"precision_at_100": 0.00767,
|
| 27 |
+
"precision_at_1000": 0.00096,
|
| 28 |
+
"precision_at_3": 0.09322,
|
| 29 |
+
"precision_at_5": 0.07074,
|
| 30 |
+
"recall_at_1": 0.14442,
|
| 31 |
+
"recall_at_10": 0.43557,
|
| 32 |
+
"recall_at_100": 0.72904,
|
| 33 |
+
"recall_at_1000": 0.90407,
|
| 34 |
+
"recall_at_3": 0.27088,
|
| 35 |
+
"recall_at_5": 0.34144
|
| 36 |
+
}
|
| 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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|
|
|
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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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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"test": {
|
| 3 |
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"de": {
|
| 4 |
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|
| 5 |
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|
| 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 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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},
|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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}
|
| 46 |
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},
|
| 47 |
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|
| 48 |
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"de": {
|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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},
|
| 55 |
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"en": {
|
| 56 |
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|
| 57 |
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|
| 58 |
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"f1": 0.8643221005490525,
|
| 59 |
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"f1_stderr": 0.007924300687945415,
|
| 60 |
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"main_score": 0.8647874720357942
|
| 61 |
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},
|
| 62 |
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"es": {
|
| 63 |
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"accuracy": 0.6768172888015718,
|
| 64 |
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|
| 65 |
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"f1": 0.6614808491907962,
|
| 66 |
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"f1_stderr": 0.01724199330369825,
|
| 67 |
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"main_score": 0.6768172888015718
|
| 68 |
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},
|
| 69 |
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"evaluation_time": 129.45,
|
| 70 |
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"fr": {
|
| 71 |
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"accuracy": 0.6497780596068484,
|
| 72 |
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|
| 73 |
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"f1": 0.6384542819967916,
|
| 74 |
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"f1_stderr": 0.02439328627444013,
|
| 75 |
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"main_score": 0.6497780596068484
|
| 76 |
+
},
|
| 77 |
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"hi": {
|
| 78 |
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"accuracy": 0.44483101391650104,
|
| 79 |
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|
| 80 |
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"f1": 0.441310151844022,
|
| 81 |
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"f1_stderr": 0.007308843847135203,
|
| 82 |
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"main_score": 0.44483101391650104
|
| 83 |
+
},
|
| 84 |
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"th": {
|
| 85 |
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"accuracy": 0.5390783961699582,
|
| 86 |
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"accuracy_stderr": 0.021304608019150205,
|
| 87 |
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"f1": 0.5230342245719538,
|
| 88 |
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"f1_stderr": 0.0192316272968326,
|
| 89 |
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|
| 90 |
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}
|
| 91 |
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},
|
| 92 |
+
"dataset_version": null,
|
| 93 |
+
"mteb_version": "0.0.2"
|
| 94 |
+
}
|
evaluation/mteb/MTOPIntentClassification.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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|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"test": {
|
| 3 |
+
"de": {
|
| 4 |
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"accuracy": 0.4956043956043956,
|
| 5 |
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"accuracy_stderr": 0.013804089435250997,
|
| 6 |
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|
| 7 |
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|
| 8 |
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"main_score": 0.4956043956043956
|
| 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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"main_score": 0.6225262197902417
|
| 16 |
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},
|
| 17 |
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"es": {
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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"f1_stderr": 0.009821507962106622,
|
| 22 |
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"main_score": 0.4993995997331555
|
| 23 |
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},
|
| 24 |
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"evaluation_time": 336.12,
|
| 25 |
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"fr": {
|
| 26 |
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"accuracy": 0.46329470717193855,
|
| 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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"hi": {
|
| 33 |
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|
| 34 |
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| 35 |
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| 36 |
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| 37 |
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"main_score": 0.3220867694514163
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| 38 |
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| 39 |
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"th": {
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| 40 |
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"accuracy": 0.43627486437613017,
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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|
| 45 |
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|
| 46 |
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| 47 |
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"validation": {
|
| 48 |
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"de": {
|
| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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"main_score": 0.4886501377410468
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| 54 |
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| 55 |
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"en": {
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| 56 |
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"accuracy": 0.6184787472035794,
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| 57 |
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| 58 |
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"f1": 0.43633936644556937,
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| 59 |
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"f1_stderr": 0.012308022004906816,
|
| 60 |
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"main_score": 0.6184787472035794
|
| 61 |
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},
|
| 62 |
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"es": {
|
| 63 |
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"accuracy": 0.4988212180746562,
|
| 64 |
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|
| 65 |
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"f1": 0.31473396095509043,
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| 66 |
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|
| 67 |
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"main_score": 0.4988212180746562
|
| 68 |
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|
| 69 |
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"evaluation_time": 282.16,
|
| 70 |
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"fr": {
|
| 71 |
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"accuracy": 0.46119213696892836,
|
| 72 |
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|
| 73 |
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"f1": 0.28044706940385955,
|
| 74 |
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"f1_stderr": 0.010116190733840541,
|
| 75 |
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"main_score": 0.46119213696892836
|
| 76 |
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|
| 77 |
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"hi": {
|
| 78 |
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|
| 79 |
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|
| 80 |
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"f1": 0.19812640558669523,
|
| 81 |
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"f1_stderr": 0.0072837780604048784,
|
| 82 |
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"main_score": 0.3071570576540755
|
| 83 |
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},
|
| 84 |
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"th": {
|
| 85 |
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"accuracy": 0.42160383004189106,
|
| 86 |
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"accuracy_stderr": 0.010170908236196702,
|
| 87 |
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"f1": 0.26845354880486205,
|
| 88 |
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|
| 89 |
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"main_score": 0.42160383004189106
|
| 90 |
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}
|
| 91 |
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},
|
| 92 |
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"dataset_version": null,
|
| 93 |
+
"mteb_version": "0.0.2"
|
| 94 |
+
}
|
evaluation/mteb/MassiveIntentClassification.json
ADDED
|
@@ -0,0 +1,724 @@
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|
| 1 |
+
{
|
| 2 |
+
"test": {
|
| 3 |
+
"af": {
|
| 4 |
+
"accuracy": 0.4054808338937458,
|
| 5 |
+
"accuracy_stderr": 0.014447259403752678,
|
| 6 |
+
"f1": 0.39490307545239717,
|
| 7 |
+
"f1_stderr": 0.009212717959217511,
|
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|
| 724 |
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|
evaluation/mteb/MassiveScenarioClassification.json
ADDED
|
@@ -0,0 +1,724 @@
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|
| 1 |
+
{
|
| 2 |
+
"test": {
|
| 3 |
+
"af": {
|
| 4 |
+
"accuracy": 0.43248150638870203,
|
| 5 |
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"accuracy_stderr": 0.01914237726930163,
|
| 6 |
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"f1": 0.40924230769590786,
|
| 7 |
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"f1_stderr": 0.017594605316604825,
|
| 8 |
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"main_score": 0.43248150638870203
|
| 9 |
+
},
|
| 10 |
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"am": {
|
| 11 |
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"accuracy": 0.2530262273032952,
|
| 12 |
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"accuracy_stderr": 0.0171025727714938,
|
| 13 |
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"f1": 0.24937105830264067,
|
| 14 |
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"f1_stderr": 0.014061996186754674,
|
| 15 |
+
"main_score": 0.2530262273032952
|
| 16 |
+
},
|
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| 700 |
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| 723 |
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|
| 724 |
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|
evaluation/mteb/MedrxivClusteringP2P.json
ADDED
|
@@ -0,0 +1,9 @@
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|
| 1 |
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{
|
| 2 |
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"test": {
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| 3 |
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"evaluation_time": 288.36,
|
| 4 |
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| 5 |
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| 7 |
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| 8 |
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"mteb_version": "0.0.2"
|
| 9 |
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|
evaluation/mteb/MedrxivClusteringS2S.json
ADDED
|
@@ -0,0 +1,9 @@
|
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|
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| 1 |
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{
|
| 2 |
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"test": {
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| 3 |
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|
| 4 |
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| 7 |
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|
| 8 |
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|
| 9 |
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}
|
evaluation/mteb/MindSmallReranking.json
ADDED
|
@@ -0,0 +1,9 @@
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|
|
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| 1 |
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{
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|
| 9 |
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|
evaluation/mteb/NFCorpus.json
ADDED
|
@@ -0,0 +1,37 @@
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|
|
|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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| 6 |
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|
| 7 |
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| 14 |
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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 |
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|
| 37 |
+
}
|
evaluation/mteb/NQ.json
ADDED
|
@@ -0,0 +1,37 @@
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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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|
| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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|
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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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"recall_at_5": 0.35154
|
| 36 |
+
}
|
| 37 |
+
}
|
evaluation/mteb/QuoraRetrieval.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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|
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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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|
| 3 |
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"mteb_version": "0.0.2",
|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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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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|
| 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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"precision_at_1000": 0.00154,
|
| 28 |
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|
| 29 |
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"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 |
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|
| 6 |
+
},
|
| 7 |
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"validation": {
|
| 8 |
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"evaluation_time": 486.87,
|
| 9 |
+
"v_measure": 0.4023390747226228,
|
| 10 |
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|
| 11 |
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},
|
| 12 |
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"dataset_version": null,
|
| 13 |
+
"mteb_version": "0.0.2"
|
| 14 |
+
}
|
evaluation/mteb/RedditClusteringP2P.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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"evaluation_time": 1471.4,
|
| 6 |
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"v_measure": 0.49090518272935624,
|
| 7 |
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|
| 8 |
+
}
|
| 9 |
+
}
|
evaluation/mteb/SCIDOCS.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 |
+
"test": {
|
| 5 |
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"evaluation_time": 102.16,
|
| 6 |
+
"map_at_1": 0.03028,
|
| 7 |
+
"map_at_10": 0.06968,
|
| 8 |
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"map_at_100": 0.082,
|
| 9 |
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"map_at_1000": 0.08432,
|
| 10 |
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|
| 11 |
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"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 |
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"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 @@
|
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|
| 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 |
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SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,MSMARCO,en,ndcg_at_10,0.27975
|
| 160 |
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SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,NFCorpus,en,ndcg_at_10,0.22792
|
| 161 |
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SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,NQ,en,ndcg_at_10,0.29725
|
| 162 |
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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 |
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SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,SciFact,en,ndcg_at_10,0.56899
|
| 165 |
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SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,Touche2020,en,ndcg_at_10,0.22972
|
| 166 |
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SGPT-125M-weightedmean-msmarco-specb-bitfit,Retrieval,TRECCOVID,en,ndcg_at_10,0.70302
|
| 167 |
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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 |
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SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS12,en,cosine_spearman,0.6652980061546658
|
| 170 |
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SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS13,en,cosine_spearman,0.7616628863742361
|
| 171 |
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SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS14,en,cosine_spearman,0.6904572664009687
|
| 172 |
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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 |
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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 |
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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 |
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SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,en,cosine_spearman,0.6566183708171826
|
| 186 |
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SGPT-125M-weightedmean-msmarco-specb-bitfit,STS,STS22,de,cosine_spearman,0.21987647321429005
|
| 187 |
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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 |
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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 |
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SGPT-125M-weightedmean-msmarco-specb-bitfit,Reranking,average,en,map,0.505809511455851
|
| 209 |
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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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"test": {
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| 3 |
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| 5 |
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},
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| 7 |
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"euclidean": {
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| 8 |
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"pearson": 0.7110290039690963,
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},
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| 11 |
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"evaluation_time": 6.26,
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"pearson": 0.708944726230188,
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"spearman": 0.6475082576033987
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| 15 |
+
}
|
| 16 |
+
}
|
| 17 |
+
}
|
evaluation/mteb/STS12.json
ADDED
|
@@ -0,0 +1,19 @@
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| 1 |
+
{
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| 2 |
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"test": {
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| 3 |
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"cos_sim": {
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| 4 |
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"pearson": 0.7442679147085554,
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| 5 |
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"spearman": 0.6652980061546658
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},
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| 7 |
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"euclidean": {
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| 8 |
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"pearson": 0.7487039477408763,
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| 11 |
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| 12 |
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"manhattan": {
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| 13 |
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"pearson": 0.7497015137513088,
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| 14 |
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"spearman": 0.7075951355434326
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| 15 |
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| 16 |
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| 17 |
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"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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"test": {
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| 3 |
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"cos_sim": {
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| 4 |
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"pearson": 0.7562472426599542,
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| 5 |
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"spearman": 0.7616628863742361
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},
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| 7 |
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"euclidean": {
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| 8 |
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"pearson": 0.763297128081315,
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| 9 |
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"spearman": 0.7719385151966562
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},
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| 11 |
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| 12 |
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| 13 |
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"pearson": 0.7650363291423257,
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| 14 |
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"spearman": 0.7737081896355399
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}
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| 16 |
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| 17 |
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"dataset_version": null,
|
| 18 |
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"mteb_version": "0.0.2"
|
| 19 |
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}
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