Update README.md

README.md

@@ -31,25 +31,23 @@ configs:
 
 This is a dataset created for training Russian-language Seq2Seq and CLM models primarily for tasks related to Closed-Domain QA.
 
-The dataset includes 3 main tasks and one additional one:
+The dataset includes 3 main tasks:
 1. AAQG (Answer-Aware Question Answering) - generation of questions based on context, provided the answer is known
 2. QG - generating questions based on context, without a known answer
 3. QA - the standard task of answering a question based on context.
-4. Instuct - an additional task for following instructions, intended as an auxiliary task for the model to better follow different instructions, but this is not its main task.
 
-AAQG, QG, QA tasks are generated based on regular datasets for which the context, question and correct answer are known. They are generated in a ratio of 0.5, 0.2 and 0.3, respectively.
+AAQG, QG, QA tasks are generated based on regular datasets for which the context, question and correct answer are known. They are generated in a ratio of 0.4, 0.3 and 0.3, respectively.
 
 List of datasets used to compile this dataset:
 1. sberquad
 2. russian_super_glue/muserc
 3. russian_super_glue/danetqa
-4. 1/5 of SiberiaSoft/SiberianInstructions-small - for instructions
 
 Prompts used for QA tasks:
 ```python
-AAQG_PROMPT = "Сгенерируй вопрос по тексту, используя известный ответ на него.\nТекст: {context}\nОтвет: {answer}"
-QG_PROMPT = "Сгенерируй вопрос по тексту.\nТекст: {context}"
-QA_PROMPT = "Сгенерируй ответ на вопрос по тексту.\nТекст: {context}\nВопрос: {question}"
+AAQG_PROMPT = """AAQG | Текст: '{context}'. Ответ: '{answer}'"""
+QG_PROMPT = """QG | Текст: '{context}'"""
+QA_PROMPT = """QA | Текст: '{context}'. Вопрос: '{question}'"""
 ```
 
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