fix FloresBitextMining split

paths.json

@@ -8906,52 +8906,6 @@
     "results/bge-small-zh-v1.5/no_revision_available/CMedQAv2.json",
     "results/bge-small-zh-v1.5/no_revision_available/STSB.json"
   ],
-  "cointegrated__LaBSE-en-ru": [
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuBQRetrieval.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MassiveIntentClassification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/InappropriatenessClassification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuReviewsClassification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/SIB200ClusteringS2S.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringP2P.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/BelebeleRetrieval.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchGRNTIClusteringP2P.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/LanguageClassification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringS2S.v2.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/TERRa.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/Tatoeba.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSTSBenchmarkSTS.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/CyrillicTurkicLangClassification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RiaNewsRetrieval.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/GeoreviewClassification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/SensitiveTopicsClassification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/KinopoiskClassification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RUParaPhraserSTS.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringS2S.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MassiveScenarioClassification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchOECDClusteringP2P.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MultilingualSentimentClassification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/PublicHealthQA.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/FloresBitextMining.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchGRNTIClassification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/HeadlineClassification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/XQuADRetrieval.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/BUCC.v2.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/XNLI.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/XNLIV2.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/STS22.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MultiLongDocRetrieval.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/CEDRClassification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/SIB200Classification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/GeoreviewClusteringP2P.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringP2P.v2.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/STS22.v2.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuBQReranking.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/NTREXBitextMining.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/OpusparcusPC.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchOECDClassification.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/BibleNLPBitextMining.json",
-    "results/cointegrated__LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/STSBenchmarkMultilingualSTS.json"
-  ],
   "elser-v2": [
     "results/elser-v2/no_revision_available/MassiveIntentClassification.json",
     "results/elser-v2/no_revision_available/BiorxivClusteringP2P.json",
@@ -9028,6 +8982,52 @@
     "results/gelectra-large/no_revision_available/TenKGnadClusteringP2P.json",
     "results/gelectra-large/no_revision_available/BlurbsClusteringS2S.json"
   ],
+  "LaBSE-en-ru": [
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuBQRetrieval.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MassiveIntentClassification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/InappropriatenessClassification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuReviewsClassification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/SIB200ClusteringS2S.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringP2P.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/BelebeleRetrieval.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchGRNTIClusteringP2P.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/LanguageClassification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringS2S.v2.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/TERRa.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/Tatoeba.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSTSBenchmarkSTS.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/CyrillicTurkicLangClassification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RiaNewsRetrieval.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/GeoreviewClassification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/SensitiveTopicsClassification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/KinopoiskClassification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RUParaPhraserSTS.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringS2S.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MassiveScenarioClassification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchOECDClusteringP2P.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MultilingualSentimentClassification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/PublicHealthQA.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/FloresBitextMining.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchGRNTIClassification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/HeadlineClassification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/XQuADRetrieval.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/BUCC.v2.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/XNLI.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/XNLIV2.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/STS22.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MultiLongDocRetrieval.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/CEDRClassification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/SIB200Classification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/GeoreviewClusteringP2P.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringP2P.v2.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/STS22.v2.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuBQReranking.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/NTREXBitextMining.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/OpusparcusPC.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchOECDClassification.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/BibleNLPBitextMining.json",
+    "results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/STSBenchmarkMultilingualSTS.json"
+  ],
   "text-embedding-3-small": [
     "results/text-embedding-3-small/no_revision_available/AlphaNLI.json",
     "results/text-embedding-3-small/no_revision_available/WinoGrande.json",

results.py

@@ -38,6 +38,8 @@ DEV_SPLIT = ["CmedqaRetrieval", "CovidRetrieval", "DuRetrieval", "EcomRetrieval"
 TESTFULL_SPLIT = ["OpusparcusPC"]
 # Use "standard" split
 STANDARD_SPLIT = ["BrightRetrieval"]
+# Use "devtest" split
+DEVTEST_SPLIT = ["FloresBitextMining"]
 
 TEST_AVG_SPLIT = {
     "LEMBNeedleRetrieval": ["test_256", "test_512", "test_1024", "test_2048", "test_4096", "test_8192", "test_16384", "test_32768"],
@@ -333,6 +335,8 @@ class MTEBResults(datasets.GeneratorBasedBuilder):
                     split = "test.full"
                 elif (ds_name in STANDARD_SPLIT) and ("standard" in res_dict):
                     split = "standard"
+                elif (ds_name in DEVTEST_SPLIT) and ("standard" in res_dict):
+                    split = "devtest"
                 elif (ds_name in TEST_AVG_SPLIT):
                     # Average splits
                     res_dict["test_avg"] = {}