---
language:
- ru
size_categories:
- 1K<n<10K
task_categories:
- question-answering
- text-classification
- text-generation
pretty_name: R
dataset_info:
  features:
  - name: topic
    dtype: string
  - name: user_question
    dtype: string
  - name: assistant_answer
    dtype: string
  - name: to_doctor
    dtype: string
  - name: prompt
    dtype: string
  splits:
  - name: train
    num_bytes: 4319524.8
    num_examples: 1818
  - name: test
    num_bytes: 479947.2
    num_examples: 202
  download_size: 2061763
  dataset_size: 4799472.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
tags:
- medical
- biology
- synthetic
---

# Russian-language dataset of 2020 patient conversations with a medical bot in QA manner. 
* The **training sample** includes 1818 conversations; 
* The **test sample** includes 202 conversations;

## Feature characteristics:
* *topic* - medical topic
* *user_question* - last user question
* *assistant_answer* - ai answer according the context and topic
* *to_doctor* - the specialty of the physician to whom the assistant referred the patient
* *prompt* - ready prompt for fincetuning instruct model (adapted for using with unsloth https://github.com/unslothai/unsloth?tab=readme-ov-file)

## Prompt format:
"Q: {}\nA: {}<end_of_turn>"

# Disclaimer
The data provided is solely for research purposes. It may include inaccuracies, potentially harmful content, or biases, and we disclaim any responsibility for these issues. Users should assess the data's accuracy and appropriateness before utilizing it. The opinions and views represented in the data do not necessarily align with those of the author.