Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
Russian
Size:
< 1K
Tags:
evaluation
License:
| 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."] | |
| } | |
| ``` | |