diff --git a/qcdash/app.py b/qcdash/app.py
index bce90f4..d91dae4 100644
--- a/qcdash/app.py
+++ b/qcdash/app.py
@@ -7,7 +7,6 @@ from typing import List
 from urllib.parse import parse_qsl, quote, urlencode, urlparse
 
 import dash_bootstrap_components as dbc
-import flask
 import numpy as np
 from dash import Dash, Input, Output, State, callback, ctx, dash_table, dcc, html
 from dash.dash_table.Format import Format, Scheme
@@ -24,6 +23,10 @@ valid_plot_modes["avg"] = DatasetReport._default_dr_modes
 
 
 def get_datasets(root: str | Path) -> List[DatasetReport]:
+    def load_dataset(dataset):
+        dataset = Path(dataset)
+        return DatasetReport.unpickle(dataset)
+
     def explore_datasets(root: str | Path) -> List[Path]:
         if isinstance(root, str):
             root = Path(root)
@@ -43,17 +46,8 @@ def get_datasets(root: str | Path) -> List[DatasetReport]:
 
         return dr_paths
 
-    return list(
-        map(
-            lambda p: str(p.parent),
-            sorted(explore_datasets(root), key=lambda t: (-len(t.parts), t)),
-        )
-    )
-
-
-def load_dataset(dataset):
-    dataset = Path(dataset)
-    return DatasetReport.unpickle(dataset / f"{dataset.name}.pickle")
+    dr_paths = sorted(explore_datasets(root), key=lambda t: (-len(t.parts), t))
+    return {str(drp.parent): load_dataset(drp) for drp in dr_paths}
 
 
 def get_fig(dr: DatasetReport, metric, estimators, view, mode):
@@ -172,7 +166,7 @@ def get_Graph(fig):
     )
 
 
-# datasets = get_datasets("output")
+datasets = get_datasets("output")
 
 app = Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
 # app.config.suppress_callback_exceptions = True
@@ -183,11 +177,14 @@ sidebar_style = {
     "padding": "1vw",
     "padding-top": "2vw",
     "margin": "0px",
-    "flex": 2,
+    "flex": 1,
+    "overflow": "scroll",
+    "height": "100vh",
 }
 
 content_style = {
-    "flex": 10,
+    "flex": 5,
+    "maxWidth": "84vw",
 }
 
 
@@ -245,6 +242,7 @@ def get_sidebar():
 
 app.layout = html.Div(
     [
+        dcc.Interval(id="reload", interval=10 * 60 * 1000),
         dcc.Location(id="url", refresh=False),
         html.Div(
             [
@@ -257,6 +255,8 @@ app.layout = html.Div(
     ]
 )
 
+server = app.server
+
 
 def apply_param(href, triggered_id, id, curr):
     match triggered_id:
@@ -271,14 +271,25 @@ def apply_param(href, triggered_id, id, curr):
     Output("dataset", "value"),
     Output("dataset", "options"),
     Input("url", "href"),
+    Input("reload", "n_intervals"),
+    State("dataset", "value"),
 )
-def update_dataset(href):
-    datasets = get_datasets("output")
+def update_dataset(href, n_intervals, dataset):
+    match ctx.triggered_id:
+        case "reload":
+            new_datasets = get_datasets("output")
+            global datasets
+            datasets = new_datasets
+            req_dataset = dataset
+        case "url":
+            params = parse_href(href)
+            req_dataset = params.get("dataset", None)
 
-    params = parse_href(href)
-    old_dataset = params.get("dataset", None)
-    new_dataset = old_dataset if old_dataset in datasets else datasets[0]
-    return new_dataset, datasets
+    available_datasets = list(datasets.keys())
+    new_dataset = (
+        req_dataset if req_dataset in available_datasets else available_datasets[0]
+    )
+    return new_dataset, available_datasets
 
 
 @callback(
@@ -289,7 +300,7 @@ def update_dataset(href):
     State("metric", "value"),
 )
 def update_metrics(href, dataset, curr_metric):
-    dr = load_dataset(dataset)
+    dr = datasets[dataset]
     old_metric = apply_param(href, ctx.triggered_id, "metric", curr_metric)
     valid_metrics = [m for m in dr.data().columns.unique(0) if not m.endswith("_score")]
     new_metric = old_metric if old_metric in valid_metrics else valid_metrics[0]
@@ -305,7 +316,7 @@ def update_metrics(href, dataset, curr_metric):
     State("estimators", "value"),
 )
 def update_estimators(href, dataset, metric, curr_estimators):
-    dr = load_dataset(dataset)
+    dr = datasets[dataset]
     old_estimators = apply_param(href, ctx.triggered_id, "estimators", curr_estimators)
     if isinstance(old_estimators, str):
         try:
@@ -327,7 +338,7 @@ def update_estimators(href, dataset, metric, curr_estimators):
     State("view", "value"),
 )
 def update_view(href, dataset, curr_view):
-    dr = load_dataset(dataset)
+    dr = datasets[dataset]
     old_view = apply_param(href, ctx.triggered_id, "view", curr_view)
     valid_views = ["avg"] + [str(round(cr.train_prev[1] * 100)) for cr in dr.crs]
     new_view = old_view if old_view in valid_views else valid_views[0]
@@ -368,7 +379,7 @@ def update_content(dataset, metric, estimators, view, mode):
         ),
         quote_via=quote,
     )
-    dr = load_dataset(dataset)
+    dr = datasets[dataset]
     match mode:
         case m if m.endswith("table"):
             df = get_table(