Update multi_species_genomes.py

multi_species_genomes.py

@@ -48,12 +48,6 @@ _HOMEPAGE = "https://www.ncbi.nlm.nih.gov/"
 
 _LICENSE = "https://www.ncbi.nlm.nih.gov/home/about/policies/"
 
-url_df = pd.read_csv('urls.csv')
-urls = list(url_df['URL'])
-_TEST_URLS = urls[-50:]   # 50 genomes for test set
-_VALIDATION_URLS = urls[-100:-50]  # 50 genomes for validation set
-_TRAIN_URLS = urls[:-100]  # 800 genomes for training
-
 _CHUNK_LENGTHS = [6000, 12000]
 _OVERLAP = 100
 
@@ -133,9 +127,17 @@ class MultiSpeciesGenomes(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
 
-        train_downloaded_files = dl_manager.download_and_extract(_TRAIN_URLS)
-        test_downloaded_files = dl_manager.download_and_extract(_TEST_URLS)
-        validation_downloaded_files = dl_manager.download_and_extract(_VALIDATION_URLS)
+        urls_file = dl_manager.download_and_extract('urls.csv')
+        urls_df = pd.read_csv(urls_file)
+        urls = list(urls_df['URL'])
+        
+        test_urls = urls[-50:]   # 50 genomes for test set
+        validation_urls = urls[-100:-50]  # 50 genomes for validation set
+        train_urls = urls[:-100]  # 800 genomes for training
+
+        train_downloaded_files = dl_manager.download_and_extract(train_urls)
+        test_downloaded_files = dl_manager.download_and_extract(test_urls)
+        validation_downloaded_files = dl_manager.download_and_extract(validation_urls)
 
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"files": train_downloaded_files, "chunk_length": self.config.chunk_length}),