Organized data and notebook to appropriate folders and fixed data calls in notebook.

lilabc_CT.ipynb → notebooks/lilabc_CT.ipynb

@@ -254,7 +254,7 @@
     }
    ],
    "source": [
-    "df = pd.read_csv(\"lila_image_urls_and_labels.csv\")\n",
+    "df = pd.read_csv(\"../data/lila_image_urls_and_labels.csv\")\n",
     "df.head()"
    ]
   },
@@ -2815,7 +2815,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "dedupe_species.to_csv(\"data/lila_image_urls_and_labels_species.csv\", index = True)"
+    "dedupe_species.to_csv(\"../data/lila_image_urls_and_labels_species.csv\", index = True)"
    ]
   },
   {
@@ -4664,7 +4664,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "species_single_seq.to_csv(\"data/lila_image_urls_and_labels_SingleSpecies.csv\", index = False)"
+    "species_single_seq.to_csv(\"../data/lila_image_urls_and_labels_SingleSpecies.csv\", index = False)"
    ]
   },
   {
@@ -6015,7 +6015,7 @@
    "outputs": [],
    "source": [
     "def filter_md_results(dataset_name, filename):\n",
-    "    with open(\"MegaDetector_results/\" + filename) as file:\n",
+    "    with open(\"../MegaDetector_results/\" + filename) as file:\n",
     "        data = json.load(file)\n",
     "    df_mdv5b = pd.json_normalize(data[\"images\"], max_level = 1)\n",
     "    print(df_mdv5b.head())\n",
@@ -6041,7 +6041,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "with open(\"MegaDetector_results/caltech-camera-traps_mdv5a.0.0_results.json\") as file:\n",
+    "with open(\"../MegaDetector_results/caltech-camera-traps_mdv5a.0.0_results.json\") as file:\n",
     "    data = json.load(file)"
    ]
   },
@@ -11936,7 +11936,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "with open(\"MegaDetector_results/wcs-camera-traps_animals_mdv5a.0.0_results.json\") as file:\n",
+    "with open(\"../MegaDetector_results/wcs-camera-traps_animals_mdv5a.0.0_results.json\") as file:\n",
     "    data = json.load(file)"
    ]
   },
@@ -20457,7 +20457,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "with open(\"MegaDetector_results/wcs-camera-traps_animals_mdv5b.0.0_results.json\") as file:\n",
+    "with open(\"../MegaDetector_results/wcs-camera-traps_animals_mdv5b.0.0_results.json\") as file:\n",
     "    data = json.load(file)"
    ]
   },
@@ -20591,7 +20591,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "with open(\"MegaDetector_results/nacti_mdv5b.0.0_results.json\") as file:\n",
+    "with open(\"../MegaDetector_results/nacti_mdv5b.0.0_results.json\") as file:\n",
     "    data = json.load(file)"
    ]
   },
@@ -20729,7 +20729,7 @@
    "outputs": [],
    "source": [
     "def check_md_results(dataset_name, filename):\n",
-    "    with open(\"MegaDetector_results/\" + filename) as file:\n",
+    "    with open(\"../MegaDetector_results/\" + filename) as file:\n",
     "        data = json.load(file)\n",
     "    df_mdv5b = pd.json_normalize(data[\"images\"], max_level = 1)\n",
     "    print(df_mdv5b.head())\n",
@@ -21201,7 +21201,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "with open(\"MegaDetector_results/snapshot-serengeti-mdv4.1.0_results.json/snapshot-serengeti_S1_mdv4.1.0_results.json\") as file:\n",
+    "with open(\"../MegaDetector_results/snapshot-serengeti-mdv4.1.0_results.json/snapshot-serengeti_S1_mdv4.1.0_results.json\") as file:\n",
     "    data = json.load(file)\n",
     "\n",
     "serengeti_df_mdv4 = pd.json_normalize(data[\"images\"], max_level = 1)"