Adding ONNX file of this model

README.md

@@ -9,15 +9,19 @@ tags:
 - embeddings
 - mteb
 - transformers
+- onnx
+pipeline_tag: sentence-similarity
 model-index:
 - name: ibm-granite/granite-embedding-30m-english
   results:
-  - dataset:
-      config: en-ext
+  - task:
+      type: Classification
+    dataset:
       name: MTEB AmazonCounterfactualClassification (en-ext)
-      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
-      split: test
       type: mteb/amazon_counterfactual
+      config: en-ext
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
     metrics:
     - type: accuracy
       value: 62.856100000000005
@@ -31,14 +35,14 @@ model-index:
       value: 15.4995
     - type: main_score
       value: 62.856100000000005
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB AmazonCounterfactualClassification (en)
-      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
-      split: test
       type: mteb/amazon_counterfactual
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
     metrics:
     - type: accuracy
       value: 60.925399999999996
@@ -52,14 +56,14 @@ model-index:
       value: 25.0517
     - type: main_score
       value: 60.925399999999996
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB AmazonPolarityClassification (default)
-      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
-      split: test
       type: mteb/amazon_polarity
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
     metrics:
     - type: accuracy
       value: 62.983599999999996
@@ -73,14 +77,14 @@ model-index:
       value: 58.3423
     - type: main_score
       value: 62.983599999999996
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB AmazonReviewsClassification (en)
-      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
-      split: test
       type: mteb/amazon_reviews_multi
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
       value: 32.178000000000004
@@ -90,14 +94,14 @@ model-index:
       value: 31.5201
     - type: main_score
       value: 32.178000000000004
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB AppsRetrieval (default)
-      revision: f22508f96b7a36c2415181ed8bb76f76e04ae2d5
-      split: test
       type: CoIR-Retrieval/apps
+      config: default
+      split: test
+      revision: f22508f96b7a36c2415181ed8bb76f76e04ae2d5
     metrics:
     - type: ndcg_at_1
       value: 3.5060000000000002
@@ -381,14 +385,14 @@ model-index:
       value: 29.7236
     - type: main_score
       value: 6.203
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB ArguAna (default)
-      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
-      split: test
       type: mteb/arguana
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
     metrics:
     - type: ndcg_at_1
       value: 31.791999999999998
@@ -672,14 +676,14 @@ model-index:
       value: 11.3251
     - type: main_score
       value: 56.355999999999995
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB ArxivClusteringP2P (default)
-      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
-      split: test
       type: mteb/arxiv-clustering-p2p
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
     metrics:
     - type: v_measure
       value: 46.813
@@ -687,14 +691,14 @@ model-index:
       value: 13.830899999999998
     - type: main_score
       value: 46.813
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB ArxivClusteringS2S (default)
-      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
-      split: test
       type: mteb/arxiv-clustering-s2s
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
     metrics:
     - type: v_measure
       value: 41.9895
@@ -702,14 +706,14 @@ model-index:
       value: 14.3004
     - type: main_score
       value: 41.9895
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB AskUbuntuDupQuestions (default)
-      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
-      split: test
       type: mteb/askubuntudupquestions-reranking
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
     metrics:
     - type: map
       value: 64.1329
@@ -729,14 +733,14 @@ model-index:
       value: 23.508699999999997
     - type: main_score
       value: 64.1329
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: STS
+    dataset:
       name: MTEB BIOSSES (default)
-      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
-      split: test
       type: mteb/biosses-sts
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
     metrics:
     - type: pearson
       value: 90.2058
@@ -756,14 +760,14 @@ model-index:
       value: 88.1641
     - type: main_score
       value: 88.1641
-    task:
-      type: STS
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB Banking77Classification (default)
-      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
-      split: test
       type: mteb/banking77
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
     metrics:
     - type: accuracy
       value: 77.3247
@@ -773,14 +777,14 @@ model-index:
       value: 76.3532
     - type: main_score
       value: 77.3247
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB BiorxivClusteringP2P (default)
-      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
-      split: test
       type: mteb/biorxiv-clustering-p2p
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
     metrics:
     - type: v_measure
       value: 39.018
@@ -788,14 +792,14 @@ model-index:
       value: 0.7512
     - type: main_score
       value: 39.018
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB BiorxivClusteringS2S (default)
-      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
-      split: test
       type: mteb/biorxiv-clustering-s2s
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
     metrics:
     - type: v_measure
       value: 36.8097
@@ -803,14 +807,14 @@ model-index:
       value: 0.9368
     - type: main_score
       value: 36.8097
-    task:
-      type: Clustering
-  - dataset:
-      config: python
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB COIRCodeSearchNetRetrieval (python)
-      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
-      split: test
       type: CoIR-Retrieval/CodeSearchNet
+      config: python
+      split: test
+      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
     metrics:
     - type: ndcg_at_1
       value: 85.353
@@ -1094,14 +1098,14 @@ model-index:
       value: 88.457
     - type: main_score
       value: 90.89699999999999
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: javascript
+    dataset:
       name: MTEB COIRCodeSearchNetRetrieval (javascript)
-      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
-      split: test
       type: CoIR-Retrieval/CodeSearchNet
+      config: javascript
+      split: test
+      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
     metrics:
     - type: ndcg_at_1
       value: 35.46
@@ -1385,14 +1389,14 @@ model-index:
       value: 58.6477
     - type: main_score
       value: 46.54
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: go
+    dataset:
       name: MTEB COIRCodeSearchNetRetrieval (go)
-      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
-      split: test
       type: CoIR-Retrieval/CodeSearchNet
+      config: go
+      split: test
+      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
     metrics:
     - type: ndcg_at_1
       value: 45.728
@@ -1676,14 +1680,14 @@ model-index:
       value: 58.7689
     - type: main_score
       value: 59.471
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: ruby
+    dataset:
       name: MTEB COIRCodeSearchNetRetrieval (ruby)
-      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
-      split: test
       type: CoIR-Retrieval/CodeSearchNet
+      config: ruby
+      split: test
+      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
     metrics:
     - type: ndcg_at_1
       value: 38.144
@@ -1967,14 +1971,14 @@ model-index:
       value: 52.5296
     - type: main_score
       value: 50.166
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: java
+    dataset:
       name: MTEB COIRCodeSearchNetRetrieval (java)
-      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
-      split: test
       type: CoIR-Retrieval/CodeSearchNet
+      config: java
+      split: test
+      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
     metrics:
     - type: ndcg_at_1
       value: 42.355
@@ -2258,14 +2262,14 @@ model-index:
       value: 57.312
     - type: main_score
       value: 55.062
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: php
+    dataset:
       name: MTEB COIRCodeSearchNetRetrieval (php)
-      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
-      split: test
       type: CoIR-Retrieval/CodeSearchNet
+      config: php
+      split: test
+      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
     metrics:
     - type: ndcg_at_1
       value: 36.835
@@ -2549,14 +2553,14 @@ model-index:
       value: 53.6044
     - type: main_score
       value: 49.784
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackAndroidRetrieval (default)
-      revision: f46a197baaae43b4f621051089b82a364682dfeb
-      split: test
       type: mteb/cqadupstack-android
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
     metrics:
     - type: ndcg_at_1
       value: 44.206
@@ -2840,14 +2844,14 @@ model-index:
       value: 48.1413
     - type: main_score
       value: 54.106
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackEnglishRetrieval (default)
-      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
-      split: test
       type: mteb/cqadupstack-english
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
     metrics:
     - type: ndcg_at_1
       value: 41.274
@@ -3131,14 +3135,14 @@ model-index:
       value: 47.7803
     - type: main_score
       value: 50.251000000000005
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackGamingRetrieval (default)
-      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
-      split: test
       type: mteb/cqadupstack-gaming
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
     metrics:
     - type: ndcg_at_1
       value: 47.147
@@ -3422,14 +3426,14 @@ model-index:
       value: 49.977
     - type: main_score
       value: 59.318000000000005
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackGisRetrieval (default)
-      revision: 5003b3064772da1887988e05400cf3806fe491f2
-      split: test
       type: mteb/cqadupstack-gis
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
     metrics:
     - type: ndcg_at_1
       value: 30.734
@@ -3713,14 +3717,14 @@ model-index:
       value: 41.652899999999995
     - type: main_score
       value: 43.564
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackMathematicaRetrieval (default)
-      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
-      split: test
       type: mteb/cqadupstack-mathematica
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
     metrics:
     - type: ndcg_at_1
       value: 22.886
@@ -4004,14 +4008,14 @@ model-index:
       value: 29.7639
     - type: main_score
       value: 32.749
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackPhysicsRetrieval (default)
-      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
-      split: test
       type: mteb/cqadupstack-physics
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
     metrics:
     - type: ndcg_at_1
       value: 38.114
@@ -4295,14 +4299,14 @@ model-index:
       value: 52.337500000000006
     - type: main_score
       value: 48.339999999999996
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackProgrammersRetrieval (default)
-      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
-      split: test
       type: mteb/cqadupstack-programmers
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
     metrics:
     - type: ndcg_at_1
       value: 34.247
@@ -4586,14 +4590,14 @@ model-index:
       value: 44.7656
     - type: main_score
       value: 44.065
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackRetrieval (default)
-      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
-      split: test
       type: CQADupstackRetrieval_is_a_combined_dataset
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
     metrics:
     - type: ndcg_at_1
       value: 33.917750000000005
@@ -4877,27 +4881,27 @@ model-index:
       value: 45.21384166666667
     - type: main_score
       value: 44.29191666666667
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackRetrieval (default)
-      revision: CQADupstackRetrieval_is_a_combined_dataset
-      split: test
       type: CQADupstackRetrieval_is_a_combined_dataset
+      config: default
+      split: test
+      revision: CQADupstackRetrieval_is_a_combined_dataset
     metrics:
     - type: main_score
       value: 44.29191666666667
     - type: ndcg_at_10
       value: 44.29191666666667
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackStatsRetrieval (default)
-      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
-      split: test
       type: mteb/cqadupstack-stats
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
     metrics:
     - type: ndcg_at_1
       value: 29.141000000000002
@@ -5181,14 +5185,14 @@ model-index:
       value: 51.8107
     - type: main_score
       value: 38.596000000000004
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackTexRetrieval (default)
-      revision: 46989137a86843e03a6195de44b09deda022eec7
-      split: test
       type: mteb/cqadupstack-tex
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
     metrics:
     - type: ndcg_at_1
       value: 24.054000000000002
@@ -5472,14 +5476,14 @@ model-index:
       value: 38.0747
     - type: main_score
       value: 33.722
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackUnixRetrieval (default)
-      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
-      split: test
       type: mteb/cqadupstack-unix
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
     metrics:
     - type: ndcg_at_1
       value: 35.168
@@ -5763,14 +5767,14 @@ model-index:
       value: 47.6603
     - type: main_score
       value: 46.071
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackWebmastersRetrieval (default)
-      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
-      split: test
       type: mteb/cqadupstack-webmasters
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
     metrics:
     - type: ndcg_at_1
       value: 33.794000000000004
@@ -6054,14 +6058,14 @@ model-index:
       value: 47.1571
     - type: main_score
       value: 43.832
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackWordpressRetrieval (default)
-      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
-      split: test
       type: mteb/cqadupstack-wordpress
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
     metrics:
     - type: ndcg_at_1
       value: 26.247999999999998
@@ -6345,14 +6349,14 @@ model-index:
       value: 43.4448
     - type: main_score
       value: 36.889
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB ClimateFEVER (default)
-      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
-      split: test
       type: mteb/climate-fever
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
     metrics:
     - type: ndcg_at_1
       value: 29.837000000000003
@@ -6636,14 +6640,14 @@ model-index:
       value: 19.817
     - type: main_score
       value: 30.263
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CodeFeedbackMT (default)
-      revision: b0f12fa0c0dd67f59c95a5c33d02aeeb4c398c5f
-      split: test
       type: CoIR-Retrieval/codefeedback-mt
+      config: default
+      split: test
+      revision: b0f12fa0c0dd67f59c95a5c33d02aeeb4c398c5f
     metrics:
     - type: ndcg_at_1
       value: 27.002
@@ -6927,14 +6931,14 @@ model-index:
       value: 46.646300000000004
     - type: main_score
       value: 37.757000000000005
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CodeFeedbackST (default)
-      revision: d213819e87aab9010628da8b73ab4eb337c89340
-      split: test
       type: CoIR-Retrieval/codefeedback-st
+      config: default
+      split: test
+      revision: d213819e87aab9010628da8b73ab4eb337c89340
     metrics:
     - type: ndcg_at_1
       value: 53.335
@@ -7218,14 +7222,14 @@ model-index:
       value: 66.3142
     - type: main_score
       value: 69.425
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: python
+    dataset:
       name: MTEB CodeSearchNetCCRetrieval (python)
-      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
-      split: test
       type: CoIR-Retrieval/CodeSearchNet-ccr
+      config: python
+      split: test
+      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
     metrics:
     - type: ndcg_at_1
       value: 39.395
@@ -7509,14 +7513,14 @@ model-index:
       value: 52.254900000000006
     - type: main_score
       value: 53.593999999999994
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: javascript
+    dataset:
       name: MTEB CodeSearchNetCCRetrieval (javascript)
-      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
-      split: test
       type: CoIR-Retrieval/CodeSearchNet-ccr
+      config: javascript
+      split: test
+      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
     metrics:
     - type: ndcg_at_1
       value: 39.593
@@ -7800,14 +7804,14 @@ model-index:
       value: 52.0697
     - type: main_score
       value: 53.1
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: go
+    dataset:
       name: MTEB CodeSearchNetCCRetrieval (go)
-      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
-      split: test
       type: CoIR-Retrieval/CodeSearchNet-ccr
+      config: go
+      split: test
+      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
     metrics:
     - type: ndcg_at_1
       value: 30.459999999999997
@@ -8091,14 +8095,14 @@ model-index:
       value: 46.942499999999995
     - type: main_score
       value: 42.094
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: ruby
+    dataset:
       name: MTEB CodeSearchNetCCRetrieval (ruby)
-      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
-      split: test
       type: CoIR-Retrieval/CodeSearchNet-ccr
+      config: ruby
+      split: test
+      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
     metrics:
     - type: ndcg_at_1
       value: 37.827
@@ -8382,14 +8386,14 @@ model-index:
       value: 56.0608
     - type: main_score
       value: 51.686
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: java
+    dataset:
       name: MTEB CodeSearchNetCCRetrieval (java)
-      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
-      split: test
       type: CoIR-Retrieval/CodeSearchNet-ccr
+      config: java
+      split: test
+      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
     metrics:
     - type: ndcg_at_1
       value: 39.744
@@ -8673,14 +8677,14 @@ model-index:
       value: 53.286100000000005
     - type: main_score
       value: 52.544000000000004
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: php
+    dataset:
       name: MTEB CodeSearchNetCCRetrieval (php)
-      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
-      split: test
       type: CoIR-Retrieval/CodeSearchNet-ccr
+      config: php
+      split: test
+      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
     metrics:
     - type: ndcg_at_1
       value: 29.685
@@ -8964,14 +8968,14 @@ model-index:
       value: 45.535199999999996
     - type: main_score
       value: 41.814
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: python
+    dataset:
       name: MTEB CodeSearchNetRetrieval (python)
-      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
-      split: test
       type: code-search-net/code_search_net
+      config: python
+      split: test
+      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
     metrics:
     - type: ndcg_at_1
       value: 73.5
@@ -9255,14 +9259,14 @@ model-index:
       value: 71.0712
     - type: main_score
       value: 84.357
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: javascript
+    dataset:
       name: MTEB CodeSearchNetRetrieval (javascript)
-      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
-      split: test
       type: code-search-net/code_search_net
+      config: javascript
+      split: test
+      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
     metrics:
     - type: ndcg_at_1
       value: 59.4
@@ -9546,14 +9550,14 @@ model-index:
       value: 70.6705
     - type: main_score
       value: 71.384
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: go
+    dataset:
       name: MTEB CodeSearchNetRetrieval (go)
-      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
-      split: test
       type: code-search-net/code_search_net
+      config: go
+      split: test
+      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
     metrics:
     - type: ndcg_at_1
       value: 71.39999999999999
@@ -9837,14 +9841,14 @@ model-index:
       value: 72.7192
     - type: main_score
       value: 84.922
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: ruby
+    dataset:
       name: MTEB CodeSearchNetRetrieval (ruby)
-      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
-      split: test
       type: code-search-net/code_search_net
+      config: ruby
+      split: test
+      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
     metrics:
     - type: ndcg_at_1
       value: 61.9
@@ -10128,14 +10132,14 @@ model-index:
       value: 69.50460000000001
     - type: main_score
       value: 75.274
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: java
+    dataset:
       name: MTEB CodeSearchNetRetrieval (java)
-      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
-      split: test
       type: code-search-net/code_search_net
+      config: java
+      split: test
+      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
     metrics:
     - type: ndcg_at_1
       value: 52.6
@@ -10419,14 +10423,14 @@ model-index:
       value: 58.8048
     - type: main_score
       value: 69.447
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: php
+    dataset:
       name: MTEB CodeSearchNetRetrieval (php)
-      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
-      split: test
       type: code-search-net/code_search_net
+      config: php
+      split: test
+      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
     metrics:
     - type: ndcg_at_1
       value: 57.699999999999996
@@ -10710,14 +10714,14 @@ model-index:
       value: 63.361000000000004
     - type: main_score
       value: 73.455
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CodeTransOceanContest (default)
-      revision: 20da4eb20a4b17300c0986ee148c90867a7f2a4d
-      split: test
       type: CoIR-Retrieval/codetrans-contest
+      config: default
+      split: test
+      revision: 20da4eb20a4b17300c0986ee148c90867a7f2a4d
     metrics:
     - type: ndcg_at_1
       value: 46.154
@@ -11001,14 +11005,14 @@ model-index:
       value: 77.0939
     - type: main_score
       value: 57.475
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CodeTransOceanDL (default)
-      revision: 281562cb8a1265ab5c0824bfa6ddcd9b0a15618f
-      split: test
       type: CoIR-Retrieval/codetrans-dl
+      config: default
+      split: test
+      revision: 281562cb8a1265ab5c0824bfa6ddcd9b0a15618f
     metrics:
     - type: ndcg_at_1
       value: 8.889
@@ -11292,14 +11296,14 @@ model-index:
       value: 18.496499999999997
     - type: main_score
       value: 26.888
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CosQA (default)
-      revision: bc5efb7e9d437246ce393ed19d772e08e4a79535
-      split: test
       type: CoIR-Retrieval/cosqa
+      config: default
+      split: test
+      revision: bc5efb7e9d437246ce393ed19d772e08e4a79535
     metrics:
     - type: ndcg_at_1
       value: 15.4
@@ -11583,14 +11587,14 @@ model-index:
       value: 29.583
     - type: main_score
       value: 35.449999999999996
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB DBPedia (default)
-      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
-      split: test
       type: mteb/dbpedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
     metrics:
     - type: ndcg_at_1
       value: 51.37500000000001
@@ -11874,14 +11878,14 @@ model-index:
       value: 42.4844
     - type: main_score
       value: 35.96
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB EmotionClassification (default)
-      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
-      split: test
       type: mteb/emotion
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
     metrics:
     - type: accuracy
       value: 38.795
@@ -11891,14 +11895,14 @@ model-index:
       value: 40.7945
     - type: main_score
       value: 38.795
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB FEVER (default)
-      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
-      split: test
       type: mteb/fever
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
     metrics:
     - type: ndcg_at_1
       value: 79.08800000000001
@@ -12182,14 +12186,14 @@ model-index:
       value: 62.96469999999999
     - type: main_score
       value: 85.528
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB FiQA2018 (default)
-      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
-      split: test
       type: mteb/fiqa
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
     metrics:
     - type: ndcg_at_1
       value: 35.494
@@ -12473,14 +12477,14 @@ model-index:
       value: 43.4086
     - type: main_score
       value: 36.851
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB HotpotQA (default)
-      revision: ab518f4d6fcca38d87c25209f94beba119d02014
-      split: test
       type: mteb/hotpotqa
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
     metrics:
     - type: ndcg_at_1
       value: 73.531
@@ -12764,14 +12768,14 @@ model-index:
       value: 66.328
     - type: main_score
       value: 62.918
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB ImdbClassification (default)
-      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
-      split: test
       type: mteb/imdb
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
     metrics:
     - type: accuracy
       value: 62.2348
@@ -12785,14 +12789,14 @@ model-index:
       value: 57.750800000000005
     - type: main_score
       value: 62.2348
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB MSMARCO (default)
-      revision: c5a29a104738b98a9e76336939199e264163d4a0
-      split: dev
       type: mteb/msmarco
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
     metrics:
     - type: ndcg_at_1
       value: 15.085999999999999
@@ -13076,14 +13080,14 @@ model-index:
       value: 26.801000000000002
     - type: main_score
       value: 30.711
-    task:
-      type: Retrieval
-  - dataset:
-      config: en
+  - task:
+      type: Classification
+    dataset:
       name: MTEB MTOPDomainClassification (en)
-      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
-      split: test
       type: mteb/mtop_domain
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
     metrics:
     - type: accuracy
       value: 89.4505
@@ -13093,14 +13097,14 @@ model-index:
       value: 89.442
     - type: main_score
       value: 89.4505
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB MTOPIntentClassification (en)
-      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
-      split: test
       type: mteb/mtop_intent
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
     metrics:
     - type: accuracy
       value: 56.846799999999995
@@ -13110,14 +13114,14 @@ model-index:
       value: 58.797999999999995
     - type: main_score
       value: 56.846799999999995
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB MassiveIntentClassification (en)
-      revision: 4672e20407010da34463acc759c162ca9734bca6
-      split: test
       type: mteb/amazon_massive_intent
+      config: en
+      split: test
+      revision: 4672e20407010da34463acc759c162ca9734bca6
     metrics:
     - type: accuracy
       value: 64.768
@@ -13127,14 +13131,14 @@ model-index:
       value: 63.67
     - type: main_score
       value: 64.768
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB MassiveScenarioClassification (en)
-      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
-      split: test
       type: mteb/amazon_massive_scenario
+      config: en
+      split: test
+      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
     metrics:
     - type: accuracy
       value: 71.3416
@@ -13144,14 +13148,14 @@ model-index:
       value: 71.19680000000001
     - type: main_score
       value: 71.3416
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB MedrxivClusteringP2P (default)
-      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
-      split: test
       type: mteb/medrxiv-clustering-p2p
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
     metrics:
     - type: v_measure
       value: 32.5684
@@ -13159,14 +13163,14 @@ model-index:
       value: 1.6362999999999999
     - type: main_score
       value: 32.5684
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB MedrxivClusteringS2S (default)
-      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
-      split: test
       type: mteb/medrxiv-clustering-s2s
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
     metrics:
     - type: v_measure
       value: 31.551299999999998
@@ -13174,14 +13178,14 @@ model-index:
       value: 1.7208999999999999
     - type: main_score
       value: 31.551299999999998
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB MindSmallReranking (default)
-      revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
-      split: test
       type: mteb/mind_small
+      config: default
+      split: test
+      revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
     metrics:
     - type: map
       value: 30.883
@@ -13201,14 +13205,14 @@ model-index:
       value: 13.2767
     - type: main_score
       value: 30.883
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB NFCorpus (default)
-      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
-      split: test
       type: mteb/nfcorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
     metrics:
     - type: ndcg_at_1
       value: 41.486000000000004
@@ -13492,14 +13496,14 @@ model-index:
       value: 33.1177
     - type: main_score
       value: 33.737
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB NQ (default)
-      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
-      split: test
       type: mteb/nq
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
     metrics:
     - type: ndcg_at_1
       value: 32.793
@@ -13783,14 +13787,14 @@ model-index:
       value: 27.4444
     - type: main_score
       value: 51.63100000000001
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB QuoraRetrieval (default)
-      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
-      split: test
       type: mteb/quora
+      config: default
+      split: test
+      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
     metrics:
     - type: ndcg_at_1
       value: 79.36999999999999
@@ -14074,14 +14078,14 @@ model-index:
       value: 75.69369999999999
     - type: main_score
       value: 86.696
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB RedditClustering (default)
-      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
-      split: test
       type: mteb/reddit-clustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
     metrics:
     - type: v_measure
       value: 50.019999999999996
@@ -14089,14 +14093,14 @@ model-index:
       value: 4.5914
     - type: main_score
       value: 50.019999999999996
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB RedditClusteringP2P (default)
-      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
-      split: test
       type: mteb/reddit-clustering-p2p
+      config: default
+      split: test
+      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
     metrics:
     - type: v_measure
       value: 53.9756
@@ -14104,14 +14108,14 @@ model-index:
       value: 11.6573
     - type: main_score
       value: 53.9756
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB SCIDOCS (default)
-      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
-      split: test
       type: mteb/scidocs
+      config: default
+      split: test
+      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
     metrics:
     - type: ndcg_at_1
       value: 24.6
@@ -14395,14 +14399,14 @@ model-index:
       value: 20.8635
     - type: main_score
       value: 22.542
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: STS
+    dataset:
       name: MTEB SICK-R (default)
-      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
-      split: test
       type: mteb/sickr-sts
+      config: default
+      split: test
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
     metrics:
     - type: pearson
       value: 77.4874
@@ -14422,14 +14426,14 @@ model-index:
       value: 68.79809999999999
     - type: main_score
       value: 68.79809999999999
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS12 (default)
-      revision: a0d554a64d88156834ff5ae9920b964011b16384
-      split: test
       type: mteb/sts12-sts
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
     metrics:
     - type: pearson
       value: 67.8391
@@ -14449,14 +14453,14 @@ model-index:
       value: 64.7722
     - type: main_score
       value: 64.77380000000001
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS13 (default)
-      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
-      split: test
       type: mteb/sts13-sts
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
     metrics:
     - type: pearson
       value: 78.8177
@@ -14476,14 +14480,14 @@ model-index:
       value: 79.3253
     - type: main_score
       value: 79.3253
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS14 (default)
-      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
-      split: test
       type: mteb/sts14-sts
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
     metrics:
     - type: pearson
       value: 75.6791
@@ -14503,14 +14507,14 @@ model-index:
       value: 70.1701
     - type: main_score
       value: 70.1701
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS15 (default)
-      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
-      split: test
       type: mteb/sts15-sts
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
     metrics:
     - type: pearson
       value: 80.4413
@@ -14530,14 +14534,14 @@ model-index:
       value: 82.0343
     - type: main_score
       value: 82.0343
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS16 (default)
-      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
-      split: test
       type: mteb/sts16-sts
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
     metrics:
     - type: pearson
       value: 77.172
@@ -14557,14 +14561,14 @@ model-index:
       value: 78.9633
     - type: main_score
       value: 78.9633
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en-en
+    dataset:
       name: MTEB STS17 (en-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: en-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 83.5117
@@ -14584,14 +14588,14 @@ model-index:
       value: 84.64970000000001
     - type: main_score
       value: 84.64970000000001
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: es-en
+    dataset:
       name: MTEB STS17 (es-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: es-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 29.0052
@@ -14611,14 +14615,14 @@ model-index:
       value: 30.640299999999996
     - type: main_score
       value: 30.640299999999996
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: nl-en
+    dataset:
       name: MTEB STS17 (nl-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: nl-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 42.0755
@@ -14638,14 +14642,14 @@ model-index:
       value: 39.7565
     - type: main_score
       value: 39.763999999999996
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en-de
+    dataset:
       name: MTEB STS17 (en-de)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: en-de
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 44.2318
@@ -14665,14 +14669,14 @@ model-index:
       value: 46.5518
     - type: main_score
       value: 46.5518
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: fr-en
+    dataset:
       name: MTEB STS17 (fr-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: fr-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 36.716100000000004
@@ -14692,14 +14696,14 @@ model-index:
       value: 34.6968
     - type: main_score
       value: 34.6968
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en-ar
+    dataset:
       name: MTEB STS17 (en-ar)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: en-ar
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 21.2825
@@ -14719,14 +14723,14 @@ model-index:
       value: 17.6922
     - type: main_score
       value: 17.6922
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: it-en
+    dataset:
       name: MTEB STS17 (it-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: it-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 32.1584
@@ -14746,14 +14750,14 @@ model-index:
       value: 27.9254
     - type: main_score
       value: 27.9254
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en-tr
+    dataset:
       name: MTEB STS17 (en-tr)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: en-tr
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 21.0842
@@ -14773,14 +14777,14 @@ model-index:
       value: 18.5115
     - type: main_score
       value: 18.5115
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en
+    dataset:
       name: MTEB STS22 (en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: pearson
       value: 66.9563
@@ -14800,14 +14804,14 @@ model-index:
       value: 67.4747
     - type: main_score
       value: 67.4747
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: de-en
+    dataset:
       name: MTEB STS22 (de-en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: de-en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: pearson
       value: 56.3095
@@ -14827,14 +14831,14 @@ model-index:
       value: 54.1005
     - type: main_score
       value: 54.1005
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: es-en
+    dataset:
       name: MTEB STS22 (es-en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: es-en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: pearson
       value: 62.0575
@@ -14854,14 +14858,14 @@ model-index:
       value: 66.9527
     - type: main_score
       value: 66.9527
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: pl-en
+    dataset:
       name: MTEB STS22 (pl-en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: pl-en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: pearson
       value: 68.42439999999999
@@ -14881,14 +14885,14 @@ model-index:
       value: 69.0444
     - type: main_score
       value: 69.0444
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: zh-en
+    dataset:
       name: MTEB STS22 (zh-en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: zh-en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: pearson
       value: 34.164699999999996
@@ -14908,14 +14912,14 @@ model-index:
       value: 36.1776
     - type: main_score
       value: 36.1776
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STSBenchmark (default)
-      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
-      split: test
       type: mteb/stsbenchmark-sts
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
     metrics:
     - type: pearson
       value: 78.0802
@@ -14935,14 +14939,14 @@ model-index:
       value: 78.0444
     - type: main_score
       value: 78.0444
-    task:
-      type: STS
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB SciDocsRR (default)
-      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
-      split: test
       type: mteb/scidocs-reranking
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
     metrics:
     - type: map
       value: 86.4489
@@ -14962,14 +14966,14 @@ model-index:
       value: 42.9429
     - type: main_score
       value: 86.4489
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB SciFact (default)
-      revision: 0228b52cf27578f30900b9e5271d331663a030d7
-      split: test
       type: mteb/scifact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
     metrics:
     - type: ndcg_at_1
       value: 59.333000000000006
@@ -15253,14 +15257,14 @@ model-index:
       value: 75.2553
     - type: main_score
       value: 71.27
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: PairClassification
+    dataset:
       name: MTEB SprintDuplicateQuestions (default)
-      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
-      split: test
       type: mteb/sprintduplicatequestions-pairclassification
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
     metrics:
     - type: similarity_accuracy
       value: 99.7604
@@ -15344,14 +15348,14 @@ model-index:
       value: 94.17
     - type: main_score
       value: 94.17
-    task:
-      type: PairClassification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB StackExchangeClustering (default)
-      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
-      split: test
       type: mteb/stackexchange-clustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
     metrics:
     - type: v_measure
       value: 64.6589
@@ -15359,14 +15363,14 @@ model-index:
       value: 4.734
     - type: main_score
       value: 64.6589
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB StackExchangeClusteringP2P (default)
-      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
-      split: test
       type: mteb/stackexchange-clustering-p2p
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
     metrics:
     - type: v_measure
       value: 32.9388
@@ -15374,14 +15378,14 @@ model-index:
       value: 1.6312
     - type: main_score
       value: 32.9388
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB StackOverflowDupQuestions (default)
-      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
-      split: test
       type: mteb/stackoverflowdupquestions-reranking
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
     metrics:
     - type: map
       value: 52.645399999999995
@@ -15401,14 +15405,14 @@ model-index:
       value: 39.409499999999994
     - type: main_score
       value: 52.645399999999995
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB StackOverflowQA (default)
-      revision: db8f169f3894c14a00251061f957b2063eef2bd5
-      split: test
       type: CoIR-Retrieval/stackoverflow-qa
+      config: default
+      split: test
+      revision: db8f169f3894c14a00251061f957b2063eef2bd5
     metrics:
     - type: ndcg_at_1
       value: 74.97500000000001
@@ -15692,14 +15696,14 @@ model-index:
       value: 82.238
     - type: main_score
       value: 83.92699999999999
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Summarization
+    dataset:
       name: MTEB SummEval (default)
-      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
-      split: test
       type: mteb/summeval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
     metrics:
     - type: pearson
       value: 29.8395
@@ -15715,14 +15719,14 @@ model-index:
       value: 29.8395
     - type: main_score
       value: 29.383
-    task:
-      type: Summarization
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB SyntheticText2SQL (default)
-      revision: 686b87296c3a0191b5d9415a00526c62db9fce09
-      split: test
       type: CoIR-Retrieval/synthetic-text2sql
+      config: default
+      split: test
+      revision: 686b87296c3a0191b5d9415a00526c62db9fce09
     metrics:
     - type: ndcg_at_1
       value: 4.222
@@ -16006,14 +16010,14 @@ model-index:
       value: -52.9095
     - type: main_score
       value: 44.775
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB TRECCOVID (default)
-      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
-      split: test
       type: mteb/trec-covid
+      config: default
+      split: test
+      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
     metrics:
     - type: ndcg_at_1
       value: 70.0
@@ -16297,14 +16301,14 @@ model-index:
       value: -5.6598999999999995
     - type: main_score
       value: 63.098
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB Touche2020 (default)
-      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
-      split: test
       type: mteb/touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
     metrics:
     - type: ndcg_at_1
       value: 23.469
@@ -16588,14 +16592,14 @@ model-index:
       value: -0.7001000000000001
     - type: main_score
       value: 24.029
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB ToxicConversationsClassification (default)
-      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
-      split: test
       type: mteb/toxic_conversations_50k
+      config: default
+      split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
     metrics:
     - type: accuracy
       value: 62.9395
@@ -16609,14 +16613,14 @@ model-index:
       value: 10.306600000000001
     - type: main_score
       value: 62.9395
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB TweetSentimentExtractionClassification (default)
-      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
-      split: test
       type: mteb/tweet_sentiment_extraction
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
     metrics:
     - type: accuracy
       value: 52.8721
@@ -16626,14 +16630,14 @@ model-index:
       value: 52.4319
     - type: main_score
       value: 52.8721
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB TwentyNewsgroupsClustering (default)
-      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
-      split: test
       type: mteb/twentynewsgroups-clustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
     metrics:
     - type: v_measure
       value: 44.9227
@@ -16641,14 +16645,14 @@ model-index:
       value: 1.1638000000000002
     - type: main_score
       value: 44.9227
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: PairClassification
+    dataset:
       name: MTEB TwitterSemEval2015 (default)
-      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
-      split: test
       type: mteb/twittersemeval2015-pairclassification
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
     metrics:
     - type: similarity_accuracy
       value: 82.04090000000001
@@ -16732,14 +16736,14 @@ model-index:
       value: 60.0317
     - type: main_score
       value: 60.0317
-    task:
+  - task:
       type: PairClassification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB TwitterURLCorpus (default)
-      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
-      split: test
       type: mteb/twitterurlcorpus-pairclassification
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
     metrics:
     - type: similarity_accuracy
       value: 87.3035
@@ -16823,9 +16827,6 @@ model-index:
       value: 82.5792
     - type: main_score
       value: 82.5792
-    task:
-      type: PairClassification
-pipeline_tag: sentence-similarity
 ---
 # Granite-Embedding-30m-English
 

onnx/config.json

@@ -0,0 +1,28 @@
+{
+  "_attn_implementation_autoset": true,
+  "architectures": [
+    "RobertaModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "export_model_type": "transformer",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 50265
+}

onnx/model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b53a40f4b51e0308fc671fa29ad2f068695f748bc7a4f9412fe5dbb1b6509a4c
+size 120769539

onnx/special_tokens_map.json

@@ -0,0 +1,51 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

onnx/tokenizer_config.json

@@ -0,0 +1,59 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}