Update README.md

README.md

@@ -5,7 +5,24 @@ tags:
 - sentence-transformers
 - feature-extraction
 - sentence-similarity
-
+license: apache-2.0
+datasets:
+- Shitao/bge-m3-data
+- RussianNLP/russian_super_glue
+- reciTAL/mlsum
+- Helsinki-NLP/opus-100
+- Helsinki-NLP/bible_para
+- d0rj/rudetoxifier_data_detox
+- s-nlp/ru_paradetox
+- Milana/russian_keywords
+- IlyaGusev/gazeta
+- d0rj/gsm8k-ru
+- bragovo/dsum_ru
+- CarlBrendt/Summ_Dialog_News
+- deepvk/ru-HNP
+- deepvk/ru-HNP
+language:
+- ru
 ---
 
 # USER-base
@@ -136,7 +153,11 @@ During model development, we additional collect 2 datasets:
 **Total positive pairs:** 3,352,653  
 **Total negative pairs:** 792,644 (negative pairs from AIINLI, MIRACL, deepvk/ru-WANLI, deepvk/ru-HNP)
 
-For all labeled datasets, we only use its training set for fine-tuning. For datasets Gazeta, Mlsum, Xlsum: pairs (title/text) and (title/summary) are combined and used as asymmetric data. AllNLI is a combination of SNLI, MNLI and ANLI.
+For all labeled datasets, we only use its training set for fine-tuning.
+For datasets Gazeta, Mlsum, Xlsum: pairs (title/text) and (title/summary) are combined and used as asymmetric data.
+
+
+`AllNLI` is an translated to Russian combination of SNLI, MNLI, and ANLI.
 
 ## Experiments