fix: removing train/test split (leaving this responsiblity to the data loader)

README.md

@@ -9,15 +9,11 @@ configs:
   data_files:
   - split: train
     path: "data/all/train.csv"
-  - split: test
-    path: "data/all/test.csv"
   default: true
 - config_name: top4
   data_files:
   - split: train
     path: "data/top4/train.csv"
-  - split: test
-    path: "data/top4/test.csv"
 
 dataset_info:
   features:

convert.py

@@ -15,7 +15,6 @@ import pandas as pd
 
 from bs4 import BeautifulSoup
 
-from sklearn.model_selection import train_test_split
 
 HEADER = [
     "source",
@@ -28,10 +27,7 @@ HEADER = [
     "pubdate",
 ]
 
-OUTPUT_FILE = "ag_news.csv"
-TRAIN_OUTPUT_FILE = "train.csv"
-TEST_OUTPUT_FILE = "test.csv"
-
+OUTPUT_FILE_PATH = os.path.join("data", "all", "train.csv")
 
 def _clean_text(text):
     text = text.replace("\\\n", "\n")
@@ -127,15 +123,15 @@ def run():
         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")
+    save_csv_categories(["World", "Sports", "Business", "Sci/Tech"], "top4-balanced", is_balanced=True)
 
 
-def save_csv(rows, fname=OUTPUT_FILE):
+def save_csv(rows, fname=OUTPUT_FILE_PATH):
     """
     Save the processed data into a CSV file.
     """
+    os.makedirs(os.path.join("data", "all"), exist_ok=True)
+    
     with open(fname, "w", encoding="utf8") as f:
         writer = csv.DictWriter(f, fieldnames=rows[0].keys())
         writer.writeheader()
@@ -144,26 +140,13 @@ def save_csv(rows, fname=OUTPUT_FILE):
             writer.writerow(row)
 
 
-def split_csv_train_test(**kwargs):
-    """
-    Split the data into training and testing sets.
-    """
-    df = pd.read_csv(OUTPUT_FILE)
-    train_df, test_df = train_test_split(df, **kwargs)
-
-    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):
+def save_csv_categories(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)
+    df = pd.read_csv(OUTPUT_FILE_PATH)
 
     if is_balanced:
         dfs = []
@@ -180,9 +163,7 @@ def filter_and_split_csv(categories, config_name, is_balanced=True, **kwargs):
 
     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)
+    df.to_csv(os.path.join("data", config_name, "train.csv"), index=False)
 
 
 def save_categories(categories, fname="categories.txt"):

data/all/.~lock.train.csv#

@@ -1 +0,0 @@
-,marcio,marcio-AX370-Gaming,10.04.2024 19:56,file:///home/marcio/.config/libreoffice/4;

data/all/test.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:fb60f014952b4e1ae53fb3788e3e2b3a76e927ebf65931d87f2f8bcf5d22ad73
-size 168573267

data/all/train.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b8a9cf578e8a092d61ed556cebecdf96f3a2a13c8773792e6facbf03f36d8239
-size 674112358
+oid sha256:8e3bc4a1a85a56f46327a32c22f0661496b2db7cb18eefa689c9e6c06ea93518
+size 843929665

data/{top4 → top4-balanced}/train.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f52847721502d0f473e6eac9e7704cb13ddf325ab9c36a79ec811c19e2614f56
-size 258202157
+oid sha256:4a9a5712dd5bf47810bc6fc7df31b86a6eaba594cc34353efcf02fd7f6289771
+size 344070837

data/top4/test.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8fb2c8e2218bd3e976e147bbefc3bfa6b5575bb29966910a7d835bd1e5cd5d6a
-size 85898679