changeS

PLOD-filtered.py

@@ -2,6 +2,7 @@ import os
 
 import datasets
 from typing import List
+import json
 
 logger = datasets.logging.get_logger(__name__)
 
@@ -81,13 +82,6 @@ class PLODfilteredConfig(datasets.GeneratorBasedBuilder):
             homepage="https://github.com/surrey-nlp/PLOD-AbbreviationDetection",
             citation=_CITATION,
         )
-    # _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"
 
     _URL = "https://huggingface.co/datasets/surrey-nlp/PLOD-filtered/resolve/main/data/"
     _URLS = {
@@ -106,54 +100,15 @@ class PLODfilteredConfig(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]})
         ]
 
-    # 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,
-    #         "test": _TEST_FILE,
-    #     }
-
-    #     return [
-    #         datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_files["train"]}),
-    #         datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": data_files["dev"]}),
-    #         datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": data_files["test"]}),
-    #     ]
-
     def _generate_examples(self, filepath):
-        logger.info("⏳ Generating examples from = %s", filepath)
-        with open(filepath, encoding="utf-8") as f:
-            guid = 0
-            tokens = []
-            pos_tags = []
-            ner_tags = []
-            for line in f:
-                if line.startswith("-DOCSTART-") or line == "" or line == "\n":
-                    if tokens:
-                        yield guid, {
-                            "id": str(guid),
-                            "tokens": tokens,
-                            "pos_tags": pos_tags,
-                            "ner_tags": ner_tags,
-                        }
-                        guid += 1
-                        tokens = []
-                        pos_tags = []
-                        ner_tags = []
-                else:
-                    # conll2003 tokens are space separated
-                    splits = line.split(" ")
-                    tokens.append(splits[0])
-                    pos_tags.append(splits[1].strip())
-                    ner_tags.append(splits[2].strip())
-            # last example
-            yield guid, {
-                "id": str(guid),
-                "tokens": tokens,
-                "pos_tags": pos_tags,
-                "ner_tags": ner_tags,
-            }
+        """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["data"]:
+                id_ = int(object['id'])
+                yield id_, {
+                    "id": str(id_),
+                    "pos_tags": object['pos_tags'],
+                    "ner_tags": object['ner_tags'],
+                }