update readme.md

README.md

@@ -20,43 +20,203 @@ model-index:
       name: MTEB MIRACLRetrievalHardNegatives (ar)
       revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
       split: dev
-      type: mteb/miracl-hard-negatives
+      type: miracl/mmteb-miracl-hardnegatives
     metrics:
-    - type: main_score
-      value: 22.583
+      - type: main_score
+        value: 22.583
+      - type: map_at_1
+        value: 8.211
+      - type: map_at_3
+        value: 12.913
+      - type: map_at_5
+        value: 14.622
+      - type: map_at_10
+        value: 16.315
+      - type: ndcg_at_1
+        value: 12.5
+      - type: ndcg_at_3
+        value: 16.058
+      - type: ndcg_at_5
+        value: 18.833
+      - type: ndcg_at_10
+        value: 22.583
+      - type: recall_at_1
+        value: 8.211
+      - type: recall_at_3
+        value: 18.474
+      - type: recall_at_5
+        value: 24.969
+      - type: recall_at_10
+        value: 34.894
+      - type: precision_at_1
+        value: 12.5
+      - type: precision_at_3
+        value: 9.7
+      - type: precision_at_5
+        value: 8.24
+      - type: precision_at_10
+        value: 6.07
+      - type: mrr_at_1
+        value: 12.5
+      - type: mrr_at_3
+        value: 18.5333
+      - type: mrr_at_5
+        value: 20.5983
+      - type: mrr_at_10
+        value: 22.165
     task:
       type: Retrieval
   - dataset:
-      config: ara-ara
-      name: MTEB MLQARetrieval (ara-ara)
-      revision: 397ed406c1a7902140303e7faf60fff35b58d285
+      config: ar
+      name: MTEB MintakaRetrieval (ar)
+      revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
       split: test
-      type: facebook/mlqa
+      type: mintaka/mmteb-mintaka
     metrics:
-    - type: main_score
-      value: 65.234
+      - type: main_score
+        value: 18.23
+      - type: map_at_1
+        value: 9.941
+      - type: map_at_3
+        value: 13.277
+      - type: map_at_5
+        value: 14.33
+      - type: map_at_10
+        value: 15.12
+      - type: ndcg_at_1
+        value: 9.941
+      - type: ndcg_at_3
+        value: 14.41
+      - type: ndcg_at_5
+        value: 16.303
+      - type: ndcg_at_10
+        value: 18.23
+      - type: recall_at_1
+        value: 9.941
+      - type: recall_at_3
+        value: 17.703
+      - type: recall_at_5
+        value: 22.288
+      - type: recall_at_10
+        value: 28.28
+      - type: precision_at_1
+        value: 9.941
+      - type: precision_at_3
+        value: 5.901
+      - type: precision_at_5
+        value: 4.458
+      - type: precision_at_10
+        value: 2.828
+      - type: mrr_at_1
+        value: 9.941
+      - type: mrr_at_3
+        value: 13.2773
+      - type: mrr_at_5
+        value: 14.3305
+      - type: mrr_at_10
+        value: 15.1196
     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: 18.23
+      - type: main_score
+        value: 65.234
+      - type: map_at_1
+        value: 50.29
+      - type: map_at_3
+        value: 58.317
+      - type: map_at_5
+        value: 59.487
+      - type: map_at_10
+        value: 60.37
+      - type: ndcg_at_1
+        value: 50.29
+      - type: ndcg_at_3
+        value: 60.972
+      - type: ndcg_at_5
+        value: 63.102
+      - type: ndcg_at_10
+        value: 65.234
+      - type: recall_at_1
+        value: 50.29
+      - type: recall_at_3
+        value: 68.665
+      - type: recall_at_5
+        value: 73.888
+      - type: recall_at_10
+        value: 80.464
+      - type: precision_at_1
+        value: 50.29
+      - type: precision_at_3
+        value: 22.888
+      - type: precision_at_5
+        value: 14.778
+      - type: precision_at_10
+        value: 8.046
+      - type: mrr_at_1
+        value: 50.2901
+      - type: mrr_at_3
+        value: 58.3172
+      - type: mrr_at_5
+        value: 59.4874
+      - type: mrr_at_10
+        value: 60.3699
     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: 62.241
+      - type: main_score
+        value: 62.241
+      - type: map_at_1
+        value: 28.147
+      - type: map_at_3
+        value: 50.989
+      - type: map_at_5
+        value: 52.059
+      - type: map_at_10
+        value: 52.553
+      - type: ndcg_at_1
+        value: 28.147
+      - type: ndcg_at_3
+        value: 59.156
+      - type: ndcg_at_5
+        value: 61.066
+      - type: ndcg_at_10
+        value: 62.241
+      - type: recall_at_1
+        value: 28.147
+      - type: recall_at_3
+        value: 83.006
+      - type: recall_at_5
+        value: 87.602
+      - type: recall_at_10
+        value: 91.192
+      - type: precision_at_1
+        value: 28.147
+      - type: precision_at_3
+        value: 27.669
+      - type: precision_at_5
+        value: 17.52
+      - type: precision_at_10
+        value: 9.119
+      - type: mrr_at_1
+        value: 26.9507
+      - type: mrr_at_3
+        value: 50.1675
+      - type: mrr_at_5
+        value: 51.2207
+      - type: mrr_at_10
+        value: 51.7396
     task:
       type: Retrieval
   - dataset: