diff --git a/scripts/benchmarking/create_tables.py b/scripts/benchmarking/create_tables.py
deleted file mode 100644
index 25b361b24..000000000
--- a/scripts/benchmarking/create_tables.py
+++ /dev/null
@@ -1,36 +0,0 @@
-"""
-Code to create the tables.
-"""
-
-import pandas as pd
-
-# from nerfstudio.scripts.benchmarking.benchmark_nerfacto import table_rows
-
-# the csv filenames
-csv_filename = "wandb-psnr.csv"
-
-# code to read the csv file
-
-df = pd.read_csv(csv_filename)
-
-column_titles = list(df.columns.values)
-last_row = list(df.values[-1])
-
-print(len(column_titles))
-print(len(last_row))
-
-from collections import defaultdict
-results = defaultdict(dict)
-for column_title, last_row_value in zip(column_titles, last_row):
-    if column_title == "Step" or "__MAX" in column_title or "__MIN" in column_title:
-        continue
-    name = column_title.split(" - ")[0]
-    capture_name, method = name.split("_")
-    metric = float(last_row_value)
-    # format to have 2 decimal places
-    metric = f"{metric:.2f}"
-    results[capture_name][method] = metric
-
-import pprint
-pprint.pprint(results)
-print(len(results))
diff --git a/scripts/downloads/download_data.py b/scripts/downloads/download_data.py
index b5792b6ae..aea0ddf59 100755
--- a/scripts/downloads/download_data.py
+++ b/scripts/downloads/download_data.py
@@ -145,17 +145,8 @@ nerfstudio_file_ids = {
     "stump": "https://data.nerf.studio/nerfstudio/stump.zip",
     "sculpture": "https://data.nerf.studio/nerfstudio/sculpture.zip",
     "Giannini-Hall": "https://data.nerf.studio/nerfstudio/Giannini-Hall.zip",
-    # MipNeRF-360 Dataset. TODO: add these links
-    "mipnerf360-bicycle": "",
-    "mipnerf360-garden": "",
-    "mipnerf360-stump": "",
-    "mipnerf360-room": "",
-    "mipnerf360-counter": "",
-    "mipnerf360-kitchen": "",
-    "mipnerf360-bonsai": "",
     "all": None,
     "nerfstudio-dataset": nerfstudio_dataset,
-    "mipnerf360-dataset": mipnerf360_dataset,
 }
 
 NerfstudioCaptureName = tyro.extras.literal_type_from_choices(nerfstudio_file_ids.keys())