add CQA results for kalm-embedding-v2 (#305)

* kalm-emb-v2.5 results

* kalm-emb-v2.5 results

* add CQA results

* updated

* updated

pyproject.toml

@@ -3,7 +3,7 @@ name = "results"
 version = "0.1.0"
 description = "The result repository for mteb"
 readme = "README.md"
-requires-python = ">=3.9,<3.13"                # pytrec-eval-terrier does not compile for 3.13
+requires-python = ">=3.10,<3.13"                # pytrec-eval-terrier does not compile for 3.13
 dependencies = ["mteb>=1.13.0"]
 
 [dependency-groups]

results/HIT-TMG__KaLM-embedding-multilingual-mini-instruct-v2/d2a21c232dc712ae8230af56d1027cf21b7864bf/CQADupstackRetrieval.json

@@ -0,0 +1,19 @@
+{
+  "dataset_revision": "CQADupstackRetrieval is a combined dataset",
+  "task_name": "CQADupstackRetrieval",
+  "mteb_version": "1.14.5",
+  "scores": {
+    "test": [
+      {
+        "main_score": 0.4418525,
+        "ndcg_at_10": 0.4418525,
+        "hf_subset": "default",
+        "languages": [
+          "eng_Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 1144.951955795288,
+  "kg_co2_emissions": null
+}

results/KaLM-Embedding__KaLM-embedding-multilingual-mini-instruct-v2.5/6a4cfc1084cb459ebd4729b53a8656a61448c720/CQADupstackRetrieval.json

@@ -0,0 +1,19 @@
+{
+  "dataset_revision": "CQADupstackRetrieval is a combined dataset",
+  "task_name": "CQADupstackRetrieval",
+  "mteb_version": "1.14.5",
+  "scores": {
+    "test": [
+      {
+        "main_score": 0.47196333333333335,
+        "ndcg_at_10": 0.47196333333333335,
+        "hf_subset": "default",
+        "languages": [
+          "eng_Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 1174.0163943767548,
+  "kg_co2_emissions": null
+}

tests/test_load_results.py

@@ -2,7 +2,7 @@ import os
 from pathlib import Path
 
 import mteb
-from mteb.load_results.task_results import TaskResult
+from mteb import TaskResult
 
 
 def test_load_results():