Update README.md

README.md

@@ -41,7 +41,11 @@ This dataset scrapes TidyTuesday datasets from 2023-2024, aiming to make resourc
 
 ## Dataset Structure
 
-The dataset is stored in a JSON nested, hierarchical structure. Refer below for a detailed depiction of the variable organization. 
+The dataset is stored in both JSON nested hierarchical structure and CSV format. 
+
+- Full set: "full" in loaded datasets | `tidytuesday_json.json` and `tidytuesday_2023_2024.csv` on GitHub
+- Train set: "train" in loaded datasets | `tidytuesday_json_train.json` and `tidytuesday_train.csv` on GitHub
+- Validation set: "validation" in loaded datasets | `tidytuesday_json_val.json` and `tidytuesday_val.csv` on GitHub
 
 ### Data Instances
 
@@ -89,15 +93,16 @@ The dataset is stored in a JSON nested, hierarchical structure. Refer below for
 
 ### Data Fields
 
-- `date_posted`: The date when the weekly project was posted *(YYYY-MM-DD str)*.
-- `project_name`: The name of the weekly project *(str)*.
-- `project_source`: A list of URLs to the project's data and information source *(List[str])*.
-- `description`: A brief excerpt of the project and dataset description *(str)*.
-- `data_source_url`: The URL to the weekly project repository *(str)*.
-- `data_dictionary`: A list of dictionaries, each containing the variable names, classes, and descriptions for each dataset *(List[Dict[str: List[str]]])*. 
-- `data`: A dictionary of dataset names and links to view. The values of the keys `file_name` and `file_url` are organized in list fashion. 
-- `data_load`: A dictionary of dataset names and links to direct download. The values of the keys `file_name` and `file_url` are organized in list fashion *(Dict[str: List[str]])*. 
-
+| **Key / Variable** | **Type**                     | **Description**                                                                                                                             |
+|--------------------|------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------|
+| `date_posted`      | *str*                        | The date when the weekly project was posted _(YYYY-MM-DD)_                                                                                  |
+| `project_name`     | *str*                        | The name of the weekly project                                                                                                              |
+| `project_source`   | *List[str]*                  | A list of URLs to the project's data and information source                                                                                 |
+| `description`      | *str*                        | A brief excerpt of the project and dataset description                                                                                      |
+| `data_source_url`  | *str*                        | The URL to the weekly project repository                                                                                                    |
+| `data_dictionary`  | *List[Dict[str: List[str]]]* | A list of dictionaries, each containing the variable names, classes, and descriptions for each dataset                                      |
+| `data`             | *Dict[str: List[str]]*       | A dictionary of dataset names and links to view. The values of the keys `file_name` and `file_url` are organized in list fashion            |
+| `data_load`        | *Dict[str: List[str]]*       | A dictionary of dataset names and links to direct download. The values of the keys `file_name` and `file_url` are organized in list fashion |
 
 ## Dataset Creation