Fix MSMARCO for GTR

results.py

@@ -30,7 +30,7 @@ SKIP_KEYS = ["std", "evaluation_time", "main_score", "threshold"]
 # Use "train" split instead
 TRAIN_SPLIT = ["DanishPoliticalCommentsClassification"]
 # Use "validation" split instead
-VALIDATION_SPLIT = ["AFQMC", "Cmnli", "IFlyTek", "TNews", "MultilingualSentiment", "Ocnli"]
+VALIDATION_SPLIT = ["AFQMC", "Cmnli", "IFlyTek", "TNews", "MSMARCO", "MultilingualSentiment", "Ocnli"]
 # Use "dev" split instead
 DEV_SPLIT = ["CmedqaRetrieval", "CovidRetrieval", "DuRetrieval", "EcomRetrieval", "MedicalRetrieval", "MMarcoReranking", "MMarcoRetrieval", "MSMARCO", "T2Reranking", "T2Retrieval", "VideoRetrieval"]
 
@@ -180,15 +180,13 @@ class MTEBResults(datasets.GeneratorBasedBuilder):
                 res_dict = json.load(f)
                 ds_name = res_dict["mteb_dataset_name"]
                 split = "test"
-                if ds_name in TRAIN_SPLIT:
+                if (ds_name in TRAIN_SPLIT) and ("train" in res_dict):
                     split = "train"
-                elif ds_name in VALIDATION_SPLIT:
+                elif (ds_name in VALIDATION_SPLIT) and ("validation" in res_dict):
                     split = "validation"
-                elif ds_name in DEV_SPLIT:
+                elif (ds_name in DEV_SPLIT) and ("dev" in res_dict):
                     split = "dev"
-                if split not in res_dict:
-                    print(f"Skipping {ds_name} as split {split} not present.")
-                    continue
+                else: print(f"Skipping {ds_name} as split {split} not present.")
                 res_dict = res_dict.get(split)
                 is_multilingual = any(x in res_dict for x in EVAL_LANGS)
                 langs = res_dict.keys() if is_multilingual else ["en"]