Align datatypes

README.md

@@ -1,9 +1,13 @@
-
 ---
-language:
-- en
-license:
-- mit
+title: Secure Code Leaderboard
+emoji: 🥇
+colorFrom: green
+colorTo: indigo
+sdk: gradio
+app_file: app.py
+pinned: true
+license: apache-2.0
+short_description: Benchmark the ability of LLMs to produce secure code.
 ---
 
 # Dataset Card for stacklok/results
@@ -13,22 +17,11 @@ This dataset contains evaluation results for various models, focusing on securit
 ## Dataset Structure
 
 The dataset contains the following fields:
-- `model`: The identifier of the model
-- `model_raw`: The raw model identifier
-- `base_model`: The base model if applicable
+- `model_id`: The identifier of the model
 - `revision`: The revision or version of the model
 - `precision`: The precision used for the model (e.g., fp16, fp32)
-- `weight_type`: Type of weights used
-- `model_type`: Type of the model
-- `status`: Current status of the evaluation
-- `timestamp`: When the evaluation was performed
 - `security_score`: A score representing the model's security evaluation
 - `safetensors_compliant`: A boolean indicating whether the model is compliant with safetensors
-- `hub_license`: The license of the model on Hugging Face Hub
-- `hub_likes`: Number of likes on Hugging Face Hub
-- `params_billion`: Number of parameters in billions
-- `available_on_hub`: Whether the model is available on Hugging Face Hub
-- `model_sha`: SHA hash of the model
 
 ## Usage