README.md

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Dataset_Metadata:
  General_Information:
    Title: "Concise and descriptive name of the dataset."
    Description: "A brief summary explaining the dataset’s purpose, contents, and potential applications. Max 250 chars."
    Creator: "Name of the individual or organization primarily responsible for creating the dataset."
    DOI_or_Other_Identifiers: "A digital object identifier (DOI) or other unique identifiers if applicable."
    Intended_Use:
      Description: "For detailed descriptions of what the dataset is intended for, including specific use cases envisioned by the creators (training, finetuning, evaluating, etc.) and instruction on how to load/store and use the data, follow this link:"
      Link: "URL to documentation or webpage."

  Access_and_Usage:
    Access_Rights: "Descriptions of who can access the data and under what conditions."
    License:
      Description: "Specific licensing information, select preferably from the list provided or use N/A if not found."
      Choices:
        - "GPL"
        - "MIT"
        - "Apache 2.0"
        - "Creative Commons"
        - "N/A"
    Date_of_Publication: "When the dataset was made available."
    Regulatory_Compliance: "Relevant compliance information if the data is subject to specific regulations (e.g., GDPR, HIPAA)."
    Presence_of_PII: 
      Description: "Indicate the presence of Personally Identifiable Information (PII)."
      Choices:
        - "Yes"
        - "No"
        - "Cannot exclude"
    Presence_of_copyrighted_material: 
      Description: "Indicate if there is any copyrighted material."
      Choices:
        - "Yes"
        - "No"
        - "Cannot exclude"

  Technical_Specifications:
    Format: "The file format(s) of the dataset (e.g., CSV, JSON)."
    Language: "Primary language(s) of the dataset content, using ISO language codes."
    Version: "Version of the dataset to track updates and changes."
    Size: "The size of the dataset."
    API_Access: "Information on how to access the dataset via APIs, if available."

  Content_Specifics:
    Subjects_Keywords: "A set of keywords or subjects describing the dataset’s focus, which aids in searchability and categorization."
    Modality_ies: 
      Description: "Data modality included in the dataset."
      Choices:
        - "Text"
        - "Video"
        - "Audio"
        - "Tabular"
        - "Multimodal"
    Temporal_Coverage: "Time period during which the data was collected."
    Geographical_Coverage: 
      Description: "Specifies the geographic area the data pertains to. Providing more specific details is preferable if known."
      Examples: "Global, America, Asia, Europe, Italy, China, Morocco."

  Data_Quality_and_Methodology:
    Data_Collection_Method: "Brief description of how the data was collected (e.g., survey, automated sensor)."
    Data_Processing_Details: "Information on how the data was processed or transformed post-collection."
    Quality_Control_Measures: "Description of steps taken to ensure data quality."
    Evaluation_Protocols: "Standard procedures recommended for evaluating models trained on this dataset, which might include specific metrics or test environments."
    Fairness_and_Bias: "Information on any efforts made to ensure the dataset is balanced or to identify and mitigate biases present in the data."

  Provenance_and_Lineage:
    Source: "Origin of the data, if derived from another dataset or source."
    Related_Datasets: "Links or references to datasets that are related or used in conjunction with this dataset."

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