update

README.md

@@ -1,6 +1,6 @@
 ---
-title: Galgame Dataset Stats
-emoji: 😻
+title: Galgame_Dataset Stats Viewer
+emoji: 🥰📊
 colorFrom: red
 colorTo: yellow
 sdk: gradio

app.py

@@ -12,20 +12,22 @@ df = df.round(2)
 df.columns = [
     "game_name",
     "speakers",
-    "mono",
+    "files",
     "stereo",
     "error",
-    "duration",
+    "dur",
     "sr",
     "precision",
     "bitrate",
     "codec",
     "total_size_MB",
 ]
+# Replace _ with space in game_name
+df["game_name"] = df["game_name"].str.replace("_", " ", regex=False)
 
 
 def gallery_images(game_name):
-    """与えられたゲーム名に基づいて画像のリストを生成する"""
+    game_name = game_name.replace(" ", "_")
     images = [
         f"https://huggingface.co/datasets/litagin/Galgame_Dataset_stats/resolve/main/specs/{game_name}/spec{i}.png"
         for i in range(1, 6)
@@ -40,17 +42,23 @@ def update_gallery(event: gr.SelectData):
 
 
 # 必要な列だけを選択
-df_display = df[
-    ["game_name", "speakers", "mono", "stereo", "duration", "bitrate", "sr"]
-]
+df_display = df[["game_name", "speakers", "files", "dur", "bitrate", "sr"]]
 
 md = """
 # Galgame_Dataset Stats Viewer
 
-- Viewer for stats of each game in [OOPPEENN/Galgame_Dataset](https://huggingface.co/datasets/OOPPEENN/Galgame_Dataset)
-- `bitrate`: bitrate in kbps
-- `sr`: sample rate in kHz
-- `duration`: total duration in hours
+# Galgame_Dataset Stats Viewer
+
+A viewer displaying statistics and spectrogram images (from 5 randomly selected audio files) for each game in the [OOPPEENN/Galgame_Dataset](https://huggingface.co/datasets/OOPPEENN/Galgame_Dataset). For raw data, visit [litagin/Galgame_Dataset_stats](https://huggingface.co/datasets/litagin/Galgame_Dataset_stats).
+
+"""
+
+details = """
+- `speakers`: Number of unique speakers.
+- `files`: Number of *mono* audio files.
+- `dur`: Total duration in hours.
+- `bitrate`: Average bitrate in kbps.
+- `sr`: Average sample rate in kHz.
 """
 
 HEIGHT = 500
@@ -64,11 +72,13 @@ CSS = f"""
 
 with gr.Blocks(css=CSS) as app:
     gr.Markdown(md)
+    with gr.Accordion(open=False, label="Details"):
+        gr.Markdown(details)
     with gr.Row():
         with gr.Column():
             table = gr.DataFrame(
                 df_display,
-                column_widths=[200, 100, 100, 100, 100, 100, 100],
+                column_widths=[200, 100, 100, 100, 100, 100],
                 wrap=True,
                 elem_classes="qa-pairs",
             )