Update loading script

species_800.py

@@ -21,9 +21,6 @@ import os
 import datasets
 
 
-logger = datasets.logging.get_logger(__name__)
-
-
 _CITATION = """\
 @article{pafilis2013species,
          title={The SPECIES and ORGANISMS resources for fast and accurate identification of taxonomic names in text},
@@ -48,7 +45,8 @@ and developed a web resource, ORGANISMS, that makes the results accessible to th
 """
 
 _HOMEPAGE = "https://species.jensenlab.org/"
-_URL = "https://drive.google.com/u/0/uc?id=1OletxmPYNkz2ltOr9pyT0b0iBtUWxslh&export=download/"
+# Source data from: http://nlp.dmis.korea.edu/projects/biobert-2020-checkpoints/NERdata.zip
+_URL = "data/s800.zip"
 _BIOBERT_NER_DATASET_DIRECTORY = "s800"
 _TRAINING_FILE = "train.tsv"
 _DEV_FILE = "devel.tsv"
@@ -98,26 +96,22 @@ class Species800(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-        urls_to_download = {
-            "biobert_ner_datasets": _URL,
-        }
-        downloaded_files = dl_manager.download_and_extract(urls_to_download)
-        dataset_directory = os.path.join(downloaded_files["biobert_ner_datasets"], _BIOBERT_NER_DATASET_DIRECTORY)
+        dl_dir = dl_manager.download_and_extract(_URL)
+        data_dir = os.path.join(dl_dir, _BIOBERT_NER_DATASET_DIRECTORY)
 
         return [
             datasets.SplitGenerator(
-                name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(dataset_directory, _TRAINING_FILE)}
+                name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir, _TRAINING_FILE)}
             ),
             datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(dataset_directory, _DEV_FILE)}
+                name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(data_dir, _DEV_FILE)}
             ),
             datasets.SplitGenerator(
-                name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(dataset_directory, _TEST_FILE)}
+                name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(data_dir, _TEST_FILE)}
             ),
         ]
 
     def _generate_examples(self, filepath):
-        logger.info("⏳ Generating examples from = %s", filepath)
         with open(filepath, encoding="utf-8") as f:
             guid = 0
             tokens = []