diff --git a/multigraph.py b/multigraph.py
index 7a9830e..78df0ab 100644
--- a/multigraph.py
+++ b/multigraph.py
@@ -116,16 +116,18 @@ def parse_arguments():
 
     if not args.no_dataframe:
         save_path = f'data/metagraph/{netuid}/df.parquet'
-        blocks = range(start_block, end_block, step_size)
+        blocks = sorted(range(start_block, end_block, -step_size))
         df_loaded = None
         if os.path.exists(save_path):
             df_loaded = pd.read_parquet(save_path)
             blocks = [block for block in blocks if block not in df_loaded.block.unique()]
             print(f'Loaded dataframe from {save_path!r}. {len(df_loaded)} rows. {len(blocks)} blocks to process.')
-            if len(blocks)==0:
-                print('No blocks to process.')
-                sys.exit(0)
-            
+        
+        if len(blocks) == 0:
+            print('No blocks to process.')
+            sys.exit(0)
+        
+        print(f'Loading metagraphs from {blocks[0]}-{blocks[-1]} ({len(blocks)}) to create dataframe.')
         df = load_metagraphs(blocks[0], blocks[-1], block_step=step_size, datadir=datadir)
         if df_loaded is not None:
             df = pd.concat([df, df_loaded], ignore_index=True)
diff --git a/multistats.py b/multistats.py
index 4552830..66cffb4 100644
--- a/multistats.py
+++ b/multistats.py
@@ -16,6 +16,17 @@
 api= wandb.Api(timeout=60)
 wandb.login(anonymous="allow")
 
+import json
+# Store the original json.loads
+original_json_loads = json.loads
+
+def relaxed_json_loads(s, *args, **kwargs):
+    kwargs.pop("strict", None)  # remove the strict argument if it exists
+    return original_json_loads(s, strict=False, *args, **kwargs)
+
+# Patch the library's json.loads
+json.loads = relaxed_json_loads
+
 def pull_wandb_runs(project='openvalidators', filters=None, min_steps=50, max_steps=100_000, ntop=10, netuid=None, summary_filters=None ):
     # TODO: speed this up by storing older runs
 
@@ -264,7 +275,7 @@ def parse_arguments():
     print(args)
 
     filters = None# {"tags": {"$in": [f'1.1.{i}' for i in range(10)]}}
-    # filters={'tags': {'$in': ['5F4tQyWrhfGVcNhoqeiNsR6KjD4wMZ2kfhLj4oHYuyHbZAc3']}} # Is foundation validator
+    
     if args.load_runs and os.path.exists('data/wandb.csv'):
         df_runs = pd.read_csv('data/wandb.csv')
         assert len(df_runs) >= args.ntop, f'Loaded {len(df_runs)} runs, but expected at least {args.ntop}'