Updated loading logic

AstroM3Dataset.py

@@ -124,7 +124,7 @@ class AstroM3Dataset(datasets.GeneratorBasedBuilder):
         spectra_urls = {}
         for _, row in df_combined.iterrows():
             spectra_urls[row["spec_filename"]] = f"{_URL}/spectra/{row['target']}/{row['spec_filename']}"
-        spectra = dl_manager.download(spectra_urls)
+        spectra_files = dl_manager.download(spectra_urls)
 
         # Load photometry and init reader
         photometry_path = dl_manager.download(f"{_URL}/photometry.zip")
@@ -134,32 +134,26 @@ class AstroM3Dataset(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN, gen_kwargs={"csv_path": extracted_path["train"],
                                                        "info_path": extracted_path["info"],
-                                                       "spectra": spectra,
+                                                       "spectra_files": spectra_files,
                                                        "split": "train"}
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION, gen_kwargs={"csv_path": extracted_path["val"],
                                                             "info_path": extracted_path["info"],
-                                                            "spectra": spectra,
+                                                            "spectra_files": spectra_files,
                                                             "split": "val"}
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST, gen_kwargs={"csv_path": extracted_path["test"],
                                                       "info_path": extracted_path["info"],
-                                                      "spectra": spectra,
+                                                      "spectra_files": spectra_files,
                                                       "split": "test"}
             ),
         ]
 
-    def _generate_examples(self, csv_path, info_path, spectra, split):
+    def _generate_examples(self, csv_path, info_path, spectra_files, split):
         """Yields examples from a CSV file containing photometry, spectra, metadata, and labels."""
 
-        if not os.path.exists(csv_path):
-            raise FileNotFoundError(f"Missing dataset file: {csv_path}")
-
-        if not os.path.exists(info_path):
-            raise FileNotFoundError(f"Missing info file: {info_path}")
-
         df = pd.read_csv(csv_path)
 
         with open(info_path) as f:
@@ -167,7 +161,7 @@ class AstroM3Dataset(datasets.GeneratorBasedBuilder):
 
         for idx, row in df.iterrows():
             photometry = self._get_photometry(row["name"])
-            spectra = self._get_spectra(spectra[row["spec_filename"]])
+            spectra = self._get_spectra(spectra_files[row["spec_filename"]])
 
             yield idx, {
                 "photometry": photometry,