Update README.md

README.md

@@ -1,39 +1,39 @@
----
-license: apache-2.0
-task_categories:
-- question-answering
-language:
-- ru
-tags:
-- evaluation
-size_categories:
-- n<1K
----
-
-
-# ru-mt-bench
-**ru-mt-bench** is translated version of [LMSYS MT-Bench](https://huggingface.co/spaces/lmsys/mt-bench) datasets for evaluation LLMs. The translation of the original dataset was done manually.
-
-### Overview of the Dataset
-- Original dataset: [mt_bench](https://github.com/lm-sys/FastChat/blob/main/fastchat/llm_judge/data/mt_bench/question.jsonl)
-- Number of tasks in original dataset: **80**
-- Number of tasks: **80**
-- Format: **JSON LINES**
-- Task categories: **writing, roleplay, reasoning, math, coding, extraction, stem, humanities**
-
-# Usage
-To use this dataset for evaluation follow these steps:
-
-1. Download this [jsonl](https://huggingface.co/datasets/t-bank-ai/ru-mt-bench/blob/main/raw/question.jsonl) file.
-
-2. Use it with original [LMSYS LLM-judge](https://github.com/lm-sys/FastChat/tree/main/fastchat/llm_judge) codebase.
-
-### Sample example
-
-```
-{
-    "question_id": 81, 
-    "category": "writing", 
-    "turns": ["Напишите увлекательный пост в блоге о недавней поездке на Гавайи, расскажите в нем о своих впечатлениях и достопримечательностях, которые обязательно нужно посетить.", "Перепишите свой предыдущий ответ. Начинайте каждое предложение с буквы А."]
-}
-```
+---
+license: apache-2.0
+task_categories:
+- question-answering
+language:
+- ru
+tags:
+- evaluation
+size_categories:
+- n<1K
+---
+
+
+# ru-mt-bench
+**ru-mt-bench** is translated version of [LMSYS MT-Bench](https://huggingface.co/spaces/lmsys/mt-bench) datasets for evaluation LLMs. The translation of the original dataset was done manually.
+
+### Overview of the Dataset
+- Original dataset: [mt_bench](https://github.com/lm-sys/FastChat/blob/main/fastchat/llm_judge/data/mt_bench/question.jsonl)
+- Number of tasks in original dataset: **80**
+- Number of tasks: **80**
+- Format: **JSON LINES**
+- Task categories: **writing, roleplay, reasoning, math, coding, extraction, stem, humanities**
+
+# Usage
+To use this dataset for evaluation follow these steps:
+
+1. Download this [jsonl](https://huggingface.co/datasets/t-bank-ai/ru-mt-bench/blob/main/raw/question.jsonl) file.
+
+2. Use it with original [LMSYS LLM-judge](https://github.com/lm-sys/FastChat/tree/main/fastchat/llm_judge) codebase.
+
+### Sample example
+
+```json
+{
+    "question_id": 81, 
+    "category": "writing", 
+    "turns": ["Напишите увлекательный пост в блоге о недавней поездке на Гавайи, расскажите в нем о своих впечатлениях и достопримечательностях, которые обязательно нужно посетить.", "Перепишите свой предыдущий ответ. Начинайте каждое предложение с буквы А."]
+}
+```