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README.md

SRDD (Software Requirement Description Dataset)

Welcome to SRDD (Software Requirement Description Dataset), a large prompted dataset tailored for Natural Language to Software (NL2Software) research. This repository contains a rich collection of prompts organized into 5 major categories and further subdivided into 40 subcategories. In total, the dataset comprises 1200 high-quality prompt samples extracted from ChatGPT 3.5, specifically curated to facilitate research in NL2Software.

Structure

  • The generated prompt contains three parts:
    • Name of the software
    • Description of this software
    • Category of this software
  • Details
    • check.csv # Check Results
      • The check csv file contains 14 columns, which are:
        • SoftwareCategory
        • SoftwareName
        • SoftwareDescription
        • Whether Obey Rule 1/2/3/4/5
        • Reason For Obeying(or not Obeying) Rule 1/2/3/4/5
        • Count of Rules Obeyed
      • The 5 rules are designed to make sure the generated software descriptions are clear to follow and easy to evaluate. Specifically, the 5 rules are:
        • Describe the primary function of this software, emphasizing its simplicity, commonality, and feasibility in implementation.
        • Craft a clear and comprehensive description that encapsulates all the essential information required to define the software's fundamental functionality.
        • Specify that the software does not require internet access, highlighting its self-contained nature.
        • This software can be realized without relying on real-world data sources.
        • Highlight the software's user-friendliness, emphasizing that it can be operated by a single individual and does not necessitate multiple users for testing, in contrast to online chat software.
    • data_ChatDev_format.sh # Data, in the format of executable shell scripts (in ChatDev)
    • data_attribute_format.csv # Data, in the format of csv, containing three columns, Name/Description/Category

Category

License

The SRDD dataset is licensed under CC BY-NC 4.0. This license explicitly permits non-commercial use of the data. We would like to emphasize that any models trained using these datasets should strictly adhere to the non-commercial usage restriction and should be employed exclusively for research purposes.