update readme.md

README.md

@@ -62,46 +62,206 @@ model-index:
   results:
   - dataset:
       config: ar
-      name: MTEB MIRACLRetrievalHardNegatives (ar)
-      revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
-      split: dev
-      type: mteb/miracl-hard-negatives
+      name: MTEB MintakaRetrieval (ar)
+      revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
+      split: test
+      type: mintaka/mmteb-mintaka
     metrics:
-    - type: main_score
-      value: 30.152
+      - type: main_score
+        value: 16.1
+      - type: map_at_1
+        value: 8.761
+      - type: map_at_3
+        value: 11.855
+      - type: map_at_5
+        value: 12.661
+      - type: map_at_10
+        value: 13.396
+      - type: ndcg_at_1
+        value: 8.761
+      - type: ndcg_at_3
+        value: 12.867
+      - type: ndcg_at_5
+        value: 14.322
+      - type: ndcg_at_10
+        value: 16.1
+      - type: recall_at_1
+        value: 8.761
+      - type: recall_at_3
+        value: 15.797
+      - type: recall_at_5
+        value: 19.337
+      - type: recall_at_10
+        value: 24.83
+      - type: precision_at_1
+        value: 8.761
+      - type: precision_at_3
+        value: 5.266
+      - type: precision_at_5
+        value: 3.867
+      - type: precision_at_10
+        value: 2.483
+      - type: mrr_at_1
+        value: 8.7608
+      - type: mrr_at_3
+        value: 11.855
+      - type: mrr_at_5
+        value: 12.6608
+      - type: mrr_at_10
+        value: 13.3959
     task:
       type: Retrieval
   - dataset:
-      config: ara-ara
-      name: MTEB MLQARetrieval (ara-ara)
-      revision: 397ed406c1a7902140303e7faf60fff35b58d285
-      split: test
-      type: facebook/mlqa
+      config: ar
+      name: MTEB MIRACLRetrievalHardNegatives (ar)
+      revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
+      split: dev
+      type: miracl/mmteb-miracl-hardnegatives
     metrics:
-    - type: main_score
-      value: 65.234
+      - type: main_score
+        value: 30.152
+      - type: map_at_1
+        value: 13.067
+      - type: map_at_3
+        value: 19.303
+      - type: map_at_5
+        value: 21.406
+      - type: map_at_10
+        value: 23.195
+      - type: ndcg_at_1
+        value: 20.7
+      - type: ndcg_at_3
+        value: 23.766
+      - type: ndcg_at_5
+        value: 26.479
+      - type: ndcg_at_10
+        value: 30.152
+      - type: recall_at_1
+        value: 13.067
+      - type: recall_at_3
+        value: 25.663
+      - type: recall_at_5
+        value: 32.707
+      - type: recall_at_10
+        value: 42.458
+      - type: precision_at_1
+        value: 20.7
+      - type: precision_at_3
+        value: 14.367
+      - type: precision_at_5
+        value: 11.36
+      - type: precision_at_10
+        value: 7.68
+      - type: mrr_at_1
+        value: 20.7
+      - type: mrr_at_3
+        value: 27.75
+      - type: mrr_at_5
+        value: 29.66
+      - type: mrr_at_10
+        value: 31.0725
     task:
       type: Retrieval
   - dataset:
       config: ar
-      name: MTEB MintakaRetrieval (ar)
-      revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
-      split: test
-      type: jinaai/mintakaqa
+      name: MTEB MLQARetrieval (ar)
+      revision: 397ed406c1a7902140303e7faf60fff35b58d285
+      split: validation
+      type: mlqa/mmteb-mlqa
     metrics:
-    - type: main_score
-      value: 16.1
+      - type: main_score
+        value: 63.541
+      - type: map_at_1
+        value: 51.451
+      - type: map_at_3
+        value: 58.027
+      - type: map_at_5
+        value: 59.197
+      - type: map_at_10
+        value: 59.644
+      - type: ndcg_at_1
+        value: 51.451
+      - type: ndcg_at_3
+        value: 60.302
+      - type: ndcg_at_5
+        value: 62.432
+      - type: ndcg_at_10
+        value: 63.541
+      - type: recall_at_1
+        value: 51.451
+      - type: recall_at_3
+        value: 66.925
+      - type: recall_at_5
+        value: 72.147
+      - type: recall_at_10
+        value: 75.629
+      - type: precision_at_1
+        value: 51.451
+      - type: precision_at_3
+        value: 22.308
+      - type: precision_at_5
+        value: 14.429
+      - type: precision_at_10
+        value: 7.563
+      - type: mrr_at_1
+        value: 51.4507
+      - type: mrr_at_3
+        value: 58.0271
+      - type: mrr_at_5
+        value: 59.1973
+      - type: mrr_at_10
+        value: 59.6441
     task:
       type: Retrieval
   - dataset:
       config: default
-      name: MTEB SadeemQuestionRetrieval (default)
+      name: MTEB SadeemQuestionRetrieval (ar)
       revision: 3cb0752b182e5d5d740df547748b06663c8e0bd9
       split: test
-      type: sadeem-ai/sadeem-ar-eval-retrieval-questions
+      type: sadeem/mmteb-sadeem
     metrics:
-    - type: main_score
-      value: 58.884
+      - type: main_score
+        value: 58.884
+      - type: map_at_1
+        value: 25.945
+      - type: map_at_3
+        value: 47.981
+      - type: map_at_5
+        value: 49.051
+      - type: map_at_10
+        value: 49.536
+      - type: ndcg_at_1
+        value: 25.945
+      - type: ndcg_at_3
+        value: 55.796
+      - type: ndcg_at_5
+        value: 57.726
+      - type: ndcg_at_10
+        value: 58.884
+      - type: recall_at_1
+        value: 25.945
+      - type: recall_at_3
+        value: 78.602
+      - type: recall_at_5
+        value: 83.293
+      - type: recall_at_10
+        value: 86.836
+      - type: precision_at_1
+        value: 25.945
+      - type: precision_at_3
+        value: 26.201
+      - type: precision_at_5
+        value: 16.659
+      - type: precision_at_10
+        value: 8.684
+      - type: mrr_at_1
+        value: 24.3179
+      - type: mrr_at_3
+        value: 46.8566
+      - type: mrr_at_5
+        value: 47.9288
+      - type: mrr_at_10
+        value: 48.4848
     task:
       type: Retrieval
   - dataset: