Update: loading script TODO test

dev.py

@@ -1,8 +0,0 @@
-from stefutil import *
-
-
-if __name__ == '__main__':
-    from datasets import load_dataset
-
-    dnm = 'claritylab/utcd'
-    mic(load_dataset(dnm))

utcd.py

@@ -116,7 +116,6 @@ class Utcd(datasets.GeneratorBasedBuilder):
     def _info(self):
         dnms = self._get_dataset_names()
         labels = [config(f'{dnm}.splits.{split}.labels') for dnm in dnms for split in ['train', 'test']]
-        mic(dnms, labels)
 
         labels = sorted(set().union(*labels))  # drop duplicate labels across datasets
         return datasets.DatasetInfo(
@@ -136,22 +135,15 @@ class Utcd(datasets.GeneratorBasedBuilder):
         dnms = self._get_dataset_names()
         dir_nm = self.config.to_dir_name()
         split2paths = {s: [os_join(dir_nm, dnm, s) for dnm in dnms] for s in splits}
-        mic(split2paths)
 
-        downloaded_files = dl_manager.download_and_extract('datasets.zip')
-        mic(downloaded_files)
-        # raise NotImplementedError
-
-        # return [
-        #     datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
-        #     datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
-        # ]
+        dl_manager.download_and_extract('datasets.zip')
         return [
             datasets.SplitGenerator(name=_split2hf_split[s], gen_kwargs={"filepath": split2paths[s]}) for s in splits
         ]
 
     def _generate_examples(self, filepath: str):
         # each call is for one split of one dataset
+        mic(filepath, type(filepath))
         dnm = filepath.split(os.sep)[-2]
         id_ = 0
         with open(filepath, encoding='utf-8') as f: