diff --git a/mteb/models/ru_sentence_models.py b/mteb/models/ru_sentence_models.py
index d9a8bd1041..a55230a602 100644
--- a/mteb/models/ru_sentence_models.py
+++ b/mteb/models/ru_sentence_models.py
@@ -77,7 +77,11 @@
     use_instructions=False,
     public_training_code=None,
     public_training_data=None,
-    training_datasets=None,
+    adapted_from="google/bert_uncased_L-12_H-768_A-12",
+    training_datasets={
+        # SNLI
+        # MNLI
+    },
 )
 
 sbert_large_mt_nlu_ru = ModelMeta(
@@ -226,7 +230,15 @@
     # Wikipedia, Books, Twitter comments, Pikabu, Proza.ru, Film subtitles, News websites, and Social corpus
     public_training_code=None,
     public_training_data=None,
-    training_datasets=None,
+    training_datasets={
+        # 400 GB of filtered and deduplicated texts in total.
+        # A mix of the following data: Wikipedia, Books, Twitter comments, Pikabu, Proza.ru,
+        # Film subtitles, News websites, and Social corpus.
+        # wikipedia
+        "WikipediaRetrievalMultilingual": [],
+        "WikipediaRerankingMultilingual": [],
+        "RiaNewsRetrieval": [],  # probably
+    },
 )
 
 rubert_base_cased = ModelMeta(
@@ -246,7 +258,12 @@
     use_instructions=False,
     public_training_code=None,
     public_training_data=None,
-    training_datasets=None,
+    adapted_from="google/bert_uncased_L-12_H-768_A-12",
+    training_datasets={
+        # wikipedia
+        "WikipediaRetrievalMultilingual": [],
+        "WikipediaRerankingMultilingual": [],
+    },
 )
 
 distilrubert_small_cased_conversational = ModelMeta(
@@ -266,7 +283,10 @@
     use_instructions=False,
     public_training_code=None,
     public_training_data=None,
-    training_datasets=None,
+    adapted_from="DeepPavlov/distilrubert-base-cased-conversational",
+    training_datasets={
+        # OpenSubtitles[1], Dirty, Pikabu, and a Social Media segment of Taiga corpus
+    },
 )
 
 rubert_base_cased_sentence = ModelMeta(
@@ -309,10 +329,15 @@
     use_instructions=False,
     public_training_code="https://colab.research.google.com/drive/1dnPRn0-ugj3vZgSpyCC9sgslM2SuSfHy?usp=sharing",
     public_training_data=None,
-    training_datasets=None,
+    training_datasets={
+        # https://translate.yandex.ru/corpus
+    },
     adapted_from="sentence-transformers/LaBSE",
 )
 
+turbo_models_datasets = {
+    # Not MTEB: {"IlyaGusev/gazeta": ["train"], "zloelias/lenta-ru": ["train"]},
+}
 rubert_tiny_turbo = ModelMeta(
     name="sergeyzh/rubert-tiny-turbo",
     languages=["rus_Cyrl"],
@@ -330,8 +355,7 @@
     use_instructions=False,
     public_training_code=None,
     public_training_data=None,
-    training_datasets=None,
-    # Not MTEB: {"IlyaGusev/gazeta": ["train"], "zloelias/lenta-ru": ["train"]},
+    training_datasets=turbo_models_datasets,
     adapted_from="cointegrated/rubert-tiny2",
 )
 
@@ -350,8 +374,7 @@
     similarity_fn_name="cosine",
     framework=["Sentence Transformers", "PyTorch"],
     use_instructions=False,
-    training_datasets=None,
-    # not MTEB: {"IlyaGusev/gazeta": ["train"], "zloelias/lenta-ru": ["train"]},
+    training_datasets=turbo_models_datasets,
     public_training_code=None,
     adapted_from="cointegrated/LaBSE-en-ru",
     public_training_data=None,