fix: adjusting configs

convert.py

@@ -70,6 +70,9 @@ def _clean_rank(rank):
 
 
 def run():
+    """
+    Run the conversion process.
+    """
     rows = []
     categories = set()
 
@@ -109,14 +112,16 @@ def run():
     # Add a label to each row
     _categories = list(categories)
     _categories.sort()
-    
+
     save_categories(_categories)
 
     for row in rows:
         row["label"] = _categories.index(row["category"])
 
     save_csv(rows)
+
     split_csv_train_test(test_size=0.2, random_state=42)
+    filter_and_split_csv(["World", "Sports", "Business", "Sci/Tech"], "top4")
 
 
 def save_csv(rows, fname=OUTPUT_FILE):
@@ -137,8 +142,39 @@ def split_csv_train_test(**kwargs):
     """
     df = pd.read_csv(OUTPUT_FILE)
     train_df, test_df = train_test_split(df, **kwargs)
-    train_df.to_csv(TRAIN_OUTPUT_FILE, index=False)
-    test_df.to_csv(TEST_OUTPUT_FILE, index=False)
+
+    os.makedirs("data/all", exist_ok=True)
+
+    train_df.to_csv(os.path.join("data", "all", TRAIN_OUTPUT_FILE), index=False)
+    test_df.to_csv(os.path.join("data", "all", TEST_OUTPUT_FILE), index=False)
+
+
+def filter_and_split_csv(categories, config_name, is_balanced=True, **kwargs):
+    """
+    Filter the data by categories and split the data into training and testing
+    sets. If is_balanced is True, the data will be balanced to size of the
+    class with fewer examples.
+    """
+    df = pd.read_csv(OUTPUT_FILE)
+
+    if is_balanced:
+        dfs = []
+        for category in categories:
+            _df = df[df["category"] == category]
+            dfs.append(_df)
+
+        min_size = min([len(_df) for _df in dfs])
+
+        dfs = [df.sample(min_size) for df in dfs]
+        df = pd.concat(dfs)
+    else:
+        df = df[df["category"].isin(categories)]
+
+    os.makedirs(f"data/{config_name}", exist_ok=True)
+
+    train_df, test_df = train_test_split(df, **kwargs)
+    train_df.to_csv(os.path.join("data", config_name, TRAIN_OUTPUT_FILE), index=False)
+    test_df.to_csv(os.path.join("data", config_name, TEST_OUTPUT_FILE), index=False)
 
 
 def save_categories(categories, fname="categories.txt"):
@@ -149,5 +185,6 @@ def save_categories(categories, fname="categories.txt"):
         for category in categories:
             f.write(category + os.linesep)
 
+
 if __name__ == "__main__":
     run()

test.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9f59e985d4ad4a4999f93ddf182b77ec9399c75425c7496d92a2cfca3e31b639
-size 169961937

train.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3cb732b181495dbe39da430669d5b11d52da82de2dacf2d6296e35d80a40845a
-size 679752245