cahngeS

PLOD-filtered.py

@@ -14,10 +14,13 @@ This is the dataset repository for PLOD Dataset accepted to be published at LREC
 The dataset can help build sequence labelling models for the task Abbreviation Detection.
 """
 
-_TRAINING_FILE = "data/PLOS-train70-filtered-pos_bio.json"
-_DEV_FILE = "data/PLOS-val15-filtered-pos_bio.json"
-_TEST_FILE = "data/PLOS-test15-filtered-pos_bio.json"
+_TRAINING_FILE_URL = "https://huggingface.co/datasets/surrey-nlp/PLOD-filtered/resolve/main/data/PLOS-train70-filtered-pos_bio.json"
+_DEV_FILE_URL = "https://huggingface.co/datasets/surrey-nlp/PLOD-filtered/resolve/main/data/PLOS-val15-filtered-pos_bio.json"
+_TEST_FILE_URL = "https://huggingface.co/datasets/surrey-nlp/PLOD-filtered/resolve/main/data/PLOS-test15-filtered-pos_bio.json"
 
+_TRAINING_FILE = "PLOS-train70-filtered-pos_bio.json"
+_DEV_FILE = "PLOS-val15-filtered-pos_bio.json"
+_TEST_FILE = "PLOS-test15-filtered-pos_bio.json"
 
 class PLODfilteredConfig(datasets.BuilderConfig):
     """BuilderConfig for Conll2003"""
@@ -89,6 +92,10 @@ class PLODfilteredConfig(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
+        downloaded_train = dl_manager.download_and_extract(_TRAINING_FILE_URL)
+        downloaded_val = dl_manager.download_and_extract(_DEV_FILE_URL)
+        downloaded_test = dl_manager.download_and_extract(_TEST_FILE_URL)
+
         data_files = {
             "train": _TRAINING_FILE,
             "dev": _DEV_FILE,