Create README.md

README.md

@@ -0,0 +1,70 @@
+---
+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."
+
+---