Rename PLOD-CW.py to PLOD-CW_old.py

PLOD-CW.py → PLOD-CW_old.py

@@ -81,7 +81,36 @@ class PLODfilteredConfig(datasets.GeneratorBasedBuilder):
             homepage="https://github.com/surrey-nlp/PLOD-AbbreviationDetection",
             citation=_CITATION,
         )
+    _URL = "https://huggingface.co/datasets/surrey-nlp/PLOD-CW/resolve/main/data/"
+    _URLS = {
+        "train": _URL + "PLOS-train70-filtered-pos_bio.json",
+        "dev": _URL + "PLOS-val15-filtered-pos_bio.json",
+        "test": _URL + "PLOS-test15-filtered-pos_bio.json"
+    }
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        urls_to_download = self._URLS
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
 
+        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"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]})
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        logger.info("generating examples from = %s", filepath)
+        with open(filepath) as f:
+            plod = json.load(f)
+            for object in plod:
+                id_ = int(object['id'])
+                yield id_, {
+                    "id": str(id_),
+                    "tokens": object['tokens'],
+                    "pos_tags": object['pos_tags'],
+                    "ner_tags": object['ner_tags'],
+                }
     _URL = "https://huggingface.co/datasets/surrey-nlp/PLOD-CW/resolve/main/data/"
     _URLS = {
         "train": _URL + "train.conll",