language:en license:wtfpl finance region:us
---
language:
- en
license: wtfpl
pretty_name: XMR questions & answers
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: question
    dtype: string
  - name: answer
    dtype: string
  splits:
  - name: train
    num_bytes: 111872
    num_examples: 229
  download_size: 0
  dataset_size: 111872
tags:
- finance
---


# Monero (XMR) Q&A Dataset

## Overview

The Monero (XMR) Q&A Dataset is a meticulously curated compilation of questions and answers focused on the Monero cryptocurrency. This dataset is designed to serve as a resource for machine learning practitioners, data scientists, cryptocurrency enthusiasts, and researchers aiming to build models that can understand, interact with, or analyze the Monero ecosystem.

## Features

- **Comprehensive Coverage**: The dataset covers a wide array of topics, ranging from basic concepts like "What is Monero?" to more complex subjects such as ring signatures, stealth addresses, and privacy mechanisms.

- **Quality Assurance**: Each entry has undergone thorough validation to ensure factual accuracy and relevance to the evolving landscape of Monero.

- **Machine Learning Ready**: Formatted to be readily used in a variety of machine learning models, including NLP algorithms for chatbots.

## Applications

- **Chatbots**: Enhance the conversational capabilities of bots focused on cryptocurrency topics.


## Format

The dataset is structured as pairs of questions and answers, you will need to process further in case your model is expecting a particular format.