Update Data Structures

README.md

@@ -52,7 +52,21 @@ Commercial Purposes, Infer Personal Information
 
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
 
-[More Information Needed]
+The dataset comprises 11 columns, detailed as follows:
+
+- `task_type`: Identifies the task category, with options including `infilling_java`, `completion_java`, `infilling_python`, and `completion_python`.
+
+- `code_task`: Describes the nature of the coding tasks. For Java, the tasks involve advanced academic projects focusing on text processing, data structures (such as AVL, B-tree, M-Tree), and statistical algorithms. Python tasks span from notebook scripts to object-oriented programming, covering areas like linear programming, computer vision, and reinforcement learning.
+
+- `start_line` and `end_line`: Specify the beginning and ending line numbers of the code segment targeted for completion.
+
+- `before`, `between`, and `after`: Capture the code preceding the target code block, the ground truth of the target code block, and the code following the target block, respectively.
+
+- `reason_categories_output`: A collection of dictionaries detailing the `usage_line` for logical components within the target code block, including elements like `If Body`, `If Condition`, `Loop Body`, etc.
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+- `horizon_categories_output`: Documents the programming constructs such as `Global_Variable`, `Function`, `Class`, along with their `define_line` and `usage_line`.
+
+- `reason_freq_analysis` and `horizon_freq_analysis`: These dictionaries tally the occurrences within `reason_categories_output` and `horizon_categories_output`, respectively.
 
 ## Dataset Creation