Update get_model_list.py

get_model_list.py

@@ -37,10 +37,11 @@ os.makedirs("metric_files", exists_ok=True)
 
 metrics = []
 for i in models:
+    model_type = "all (2020 + 2021)" if i.endswith("all") else "2020 only"
     url = f"https://huggingface.co/{i}/raw/main/metric_summary.json"
     model_url = f"https://huggingface.co/{i}"
     metric = download(f"metric_files/{os.path.basename(i)}.json", url)
-    metrics.append({"model": f"[{i}]({model_url})" "F1": metric["test/eval_f1"], "F1 (macro)": metric["test/eval_f1_macro"], "Accuracy": metric["test/eval_accuracy"]})
+    metrics.append({"model": f"[{i}]({model_url})", "training data": model_type, "F1": metric["test/eval_f1"], "F1 (macro)": metric["test/eval_f1_macro"], "Accuracy": metric["test/eval_accuracy"]})
 
 df = pd.DataFrame(metrics)
 print(df.to_markdown(index=False))