modify config for sourceA

aes_enem_dataset.py

@@ -47,7 +47,7 @@ _HOMEPAGE = ""
 _LICENSE = ""
 
 _URLS = {
-    "sourceA": "https://huggingface.co/datasets/kamel-usp/aes_enem_dataset/resolve/main/sourceA.tar.gz?download=true",
+    "sourceAOnly": "https://huggingface.co/datasets/kamel-usp/aes_enem_dataset/resolve/main/sourceA.tar.gz?download=true",
     "sourceB": "https://huggingface.co/datasets/kamel-usp/aes_enem_dataset/resolve/main/sourceB.tar.gz?download=true",
 }
 
@@ -85,7 +85,7 @@ class AesEnemDataset(datasets.GeneratorBasedBuilder):
 
     # You will be able to load one or the other configurations in the following list with
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="sourceA", version=VERSION, description="TODO"),
+        datasets.BuilderConfig(name="sourceAOnly", version=VERSION, description="TODO"),
         datasets.BuilderConfig(
             name="sourceB",
             version=VERSION,
@@ -162,17 +162,16 @@ class AesEnemDataset(datasets.GeneratorBasedBuilder):
         urls = _URLS[self.config.name]
         extracted_files = dl_manager.download_and_extract({self.config.name: urls})
         html_parser = self._process_html_files(extracted_files)
-        if self.config.name == "sourceA":
+        if "sourceA" in self.config.name:
             self._post_process_dataframe(html_parser.sourceA)
             self._generate_splits(html_parser.sourceA)
+            folder_sourceA = "/".join((html_parser.sourceA).split("/")[:-1])
             return [
                 datasets.SplitGenerator(
                     name=datasets.Split.TRAIN,
                     # These kwargs will be passed to _generate_examples
                     gen_kwargs={
-                        "filepath": os.path.join(
-                            extracted_files["sourceA"], "sourceA", "train.csv"
-                        ),
+                        "filepath": os.path.join(folder_sourceA, "train.csv"),
                         "split": "train",
                     },
                 ),
@@ -180,18 +179,14 @@ class AesEnemDataset(datasets.GeneratorBasedBuilder):
                     name=datasets.Split.VALIDATION,
                     # These kwargs will be passed to _generate_examples
                     gen_kwargs={
-                        "filepath": os.path.join(
-                            extracted_files["sourceA"], "sourceA", "validation.csv"
-                        ),
+                        "filepath": os.path.join(folder_sourceA, "validation.csv"),
                         "split": "validation",
                     },
                 ),
                 datasets.SplitGenerator(
                     name=datasets.Split.TEST,
                     gen_kwargs={
-                        "filepath": os.path.join(
-                            extracted_files["sourceA"], "sourceA", "test.csv"
-                        ),
+                        "filepath": os.path.join(folder_sourceA, "test.csv"),
                         "split": "test",
                     },
                 ),
@@ -202,9 +197,7 @@ class AesEnemDataset(datasets.GeneratorBasedBuilder):
                 datasets.SplitGenerator(
                     name="full",
                     gen_kwargs={
-                        "filepath": os.path.join(
-                            extracted_files["sourceB"], "sourceB", "sourceB.csv"
-                        ),
+                        "filepath": html_parser.sourceB,
                         "split": "full",
                     },
                 ),
@@ -269,6 +262,7 @@ class AesEnemDataset(datasets.GeneratorBasedBuilder):
         assert (
             len(set(val_df["id_prompt"]).intersection(set(test_df["id_prompt"]))) == 0
         ), "Overlap between val and test id_prompt"
+        # TODO if self.config.name == sourceAWithGrader
         dirname = os.path.dirname(filepath)
         train_df.to_csv(f"{dirname}/train.csv", index=False)
         val_df.to_csv(f"{dirname}/validation.csv", index=False)
@@ -504,18 +498,17 @@ class HTMLParser:
         for key, filepath in self.paths_dict.items():
             if key != config_name:
                 continue  # TODO improve later, we will only support a single config at a time
-            full_path = os.path.join(filepath, key)
-            if config_name == "sourceA":
-                self.sourceA = f"{full_path}/sourceA.csv"
+            if "sourceA" in config_name:
+                self.sourceA = f"{filepath}/sourceA/sourceA.csv"
             elif config_name == "sourceB":
-                self.sourceB = f"{full_path}/sourceB.csv"
-            with open(
-                f"{full_path}/{key}.csv", "w", newline="", encoding="utf8"
-            ) as final_file:
+                self.sourceB = f"{filepath}/sourceB/sourceB.csv"
+            file = self.sourceA if self.sourceA else self.sourceB
+            file_dir = "/".join((file).split("/")[:-1])
+            with open(file, "w", newline="", encoding="utf8") as final_file:
                 writer = csv.writer(final_file)
                 writer.writerow(CSV_HEADER)
                 sub_folders = [
-                    name for name in os.listdir(full_path) if not name.endswith(".csv")
+                    name for name in os.listdir(file_dir) if not name.endswith(".csv")
                 ]
                 essay_id = 0
                 essay_title = None
@@ -531,7 +524,7 @@ class HTMLParser:
                 ):
                     if prompt_folder in PROMPTS_TO_IGNORE:
                         continue
-                    prompt = os.path.join(full_path, prompt_folder)
+                    prompt = os.path.join(file_dir, prompt_folder)
                     prompt_essays = [name for name in os.listdir(prompt)]
                     essay_year = self._get_essay_year(
                         self.apply_soup(prompt, "Prompt.html")