Update tajik-text-segmentation.py

tajik-text-segmentation.py

@@ -12,9 +12,11 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import os
 from .annotations_parser import load_yedda_annotations
 
 import datasets
+from huggingface_hub import snapshot_download
 
 
 # Find for instance the citation on arxiv or on the dataset repo/website
@@ -37,7 +39,6 @@ _HOMEPAGE = ""
 _LICENSE = ""
 
 
-
 class TajikTextSegmentation(datasets.GeneratorBasedBuilder):
     """A dataset of sentence-wise text segmentation in Tajik language."""
 
@@ -70,11 +71,8 @@ class TajikTextSegmentation(datasets.GeneratorBasedBuilder):
             citation=_CITATION,
         )
     def _split_generators(self, dl_manager):
-        # path = dl_manager.download_custom('https://huggingface.co/datasets/sobir-hf/tajik-text-segmentation/tree/main/annotations')
-
         path = snapshot_download(repo_id="sobir-hf/tajik-text-segmentation", repo_type='dataset')
         path = os.path.join(path, 'annotations')
-        # path = dl_manager.download([f'annotations/{i:04}.ann' for i in range(110)])
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -108,3 +106,11 @@ class TajikTextSegmentation(datasets.GeneratorBasedBuilder):
             }
 
 
+if __name__ == '__main__':
+    # You can test the data generation by running this script.
+    # It will create a dataset in a subdirectory `./datasets/`.
+    from datasets import load_dataset
+    # dataset = load_dataset('./tajik-text-segmentation.py')
+    dataset = load_dataset('tajik-text-segmentation')
+    print(dataset)
+    print(dataset['train'][0])