task_categories:question-answering language:en license:apache-2.0 size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us synthetic text synthgenai
---
configs:
- config_name: default
  data_files:
  - path: data/train-*
    split: train
dataset_info:
  dataset_size: 133247
  download_size: 60994
  features:
  - dtype: string
    name: keyword
  - dtype: string
    name: topic
  - dtype: string
    name: language
  - name: generated_entry
    struct:
    - list:
      - dtype: string
        name: content
      - dtype: string
        name: role
      name: messages
  splits:
  - name: train
    num_bytes: 133247
    num_examples: 100
language:
- en
license:
- apache-2.0
size_category:
- <1K
tags:
- synthetic
- text
- synthgenai
task_categories:
- question-answering
---



## Description

- **Topic**: Space Mission Engineering
- **Domains**: Missions Operations, Human Spaceflight, Space Environment, Space Propulsion Systems, Qualification and Acceptance, Ground Segment, Planetary Science and Exploration, Structures, Entry, Descent and Landing, Mechanisms, Materials, System Dependability (RAMS), Orbital Mechanics, Launchers, and Launch Operations, Attitude Determination and Control, Payload S/S and Optics, Power Management, Thermal Control, Onboard Data Handling, Telecommunication and Link Analysis
- **Focus**: This dataset is focused on Space Mission Engineering, Design, Testing, and Operations
- **Number of Entries**: 100
- **Dataset Type**: Instruction Dataset
- **Model Used**: gpt-4o
- **Language**: English
- **Additional Information**: This dataset is engineered for instructional use in Space Mission Engineering, covering a comprehensive array of domains pertinent to the field.
- **Generated by**: SynthGenAI Package
