Helpful field defaults

app.py

@@ -48,6 +48,9 @@ def try_parse_yaml(yaml_block):
 
 
 def main():
+    st.markdown("# The 🤗 Speech Bench Metrics Editor")
+    st.markdown("This tool will help you report the evaluation metrics for all of your speech recognition models. "
+                "Follow the steps and watch your models appear on the [Speech Bench Leaderboard](https://huggingface.co/spaces/huggingface/hf-speech-bench)!")
     st.markdown("## 1. Load your model's metadata")
     st.markdown("Enter your model's path below.")
     model_id = st.text_input("", placeholder="<username>/<model>")
@@ -172,16 +175,16 @@ def main():
     dataset_name_kwargs = {}
     if (
         len(metadata["model-index"][0]["results"]) > 0
-        and "dataset" in metadata["model-index"][0]["results"]
+        and "dataset" in metadata["model-index"][0]["results"][0]
     ):
-        if "type" in metadata["model-index"][0]["results"]["dataset"]:
-            dataset_path_kwargs["value"] = metadata["model-index"][0]["results"][
+        if "type" in metadata["model-index"][0]["results"][0]["dataset"]:
+            dataset_path_kwargs["value"] = metadata["model-index"][0]["results"][0][
                 "dataset"
             ]["type"]
-        if "name" in metadata["model-index"][0]["results"]["dataset"]:
-            dataset_name_kwargs["value"] = metadata["model-index"][0]["results"][
+        if "name" in metadata["model-index"][0]["results"][0]["dataset"]:
+            dataset_name_kwargs["value"] = metadata["model-index"][0]["results"][0][
                 "dataset"
-            ]["type"]
+            ]["name"]
 
     with st.form(key="eval_form"):
         dataset_path = st.text_input(