OTTO - AWS User Group Vienna Taxonomy

Overview

Repository

This repository is part of the InstructLab Taxonomy, specifically focusing on the AWS User Group Vienna. The taxonomy provides structured Q&A pairs and context for AI models to generate meaningful responses about the AWS User Group Vienna, its events, sponsorships, and community engagement.

Dataset

This dataset is structured to facilitate synthetic data generation and fine-tuning of models using the InstructLab framework.

What is InstructLab Taxonomy?

InstructLab Taxonomy is a structured approach for organizing Knowledge and Skills for AI training. This allows AI models to generate better responses based on domain-specific datasets.

Key Concepts:

• Knowledge: Structured facts about a specific topic.
• Skills: Capabilities or tasks an AI can perform.

Data Structure

The taxonomy follows a structured format with seed examples that provide a context along with multiple Q&A pairs. The dataset is stored in YAML files (qna.yaml).

Example Data Format

version: 3
created_by: your_github_username
domain: aws_user_groups
seed_examples:
  - context: |
      Overview of the AWS User Group Vienna:
      The AWS User Group Vienna is a community of AWS enthusiasts and professionals in Austria.
      They come together monthly to learn, share knowledge, and network around AWS topics.
    questions_and_answers:
      - question: "What is the AWS User Group Vienna?"
        answer: "The AWS User Group Vienna is a monthly meetup in Vienna for anyone interested in learning and sharing knowledge about AWS."
      - question: "Who can attend AWS User Group Vienna meetups?"
        answer: "All AWS enthusiasts—beginners, experts, or anyone curious about AWS—are welcome at the AWS User Group Vienna events."

Knowledge Directory Overview

The knowledge/aws_community_information directory contains structured content and Q&A pairs related to the AWS community ecosystem. Below is a summary of the files and folders within this directory:

Files and Folders:

• global_aws_community/

  • global_aws_community.md: Overview of the global AWS community ecosystem.
  • qna.yaml: Q&A pairs about the global AWS community.

• aws-community-programs/

  • aws_heroes.md: Details about the AWS Heroes program.
  • aws_community_builders.md: Information on the AWS Community Builders program.
  • aws_cloud_clubs.md: Overview of AWS Cloud Clubs for students.
  • qna.yaml: Q&A pairs about AWS community programs.

• user-groups/

  • aws_user_groups_overview.md: Insights into the role of AWS User Groups globally.
  • aws_user_groups_austria/: Subdirectory for AWS User Groups in Austria.
    • aws_ug_linz.md: Information about the AWS User Group in Linz.
    • aws_wug_vienna.md: Details about the AWS Women’s User Group in Vienna.
    • aws_ug_vienna.md: Overview of the AWS User Group in Vienna.
    • qna.yaml: Q&A pairs about AWS User Groups in Austria.
  • qna.yaml: Q&A pairs about AWS User Groups globally.

• personas/

  • ug_leader.md: Persona description for a User Group Leader.
  • ug_speaker.md: Persona description for an Event Speaker.
  • ug_first_timer.md: Persona description for a First-time Attendee.
  • ug_host.md: Persona description for an Event Host or Sponsor.
  • qna.yaml: Q&A pairs about the different personas.

• meetup-formats/

  • meetup_formats.md: Details about meetup event formats and workflows.
  • qna.yaml: Q&A pairs about event formats and planning workflows.

• logistics/

  • scheduling_logistics.md: Information on scheduling logistics and agenda design.
  • qna.yaml: Q&A pairs about scheduling, timing, and logistics.

This directory provides a comprehensive taxonomy for understanding and engaging with the AWS community ecosystem.