modify reader

PLOD-CW.py

@@ -16,10 +16,10 @@ The dataset can help build sequence labelling models for the task Abbreviation a
 """
 
 class PLODfilteredConfig(datasets.BuilderConfig):
-    """BuilderConfig for Conll2003"""
+    """BuilderConfig for PLOD-CW"""
 
     def __init__(self, **kwargs):
-        """BuilderConfig forConll2003.
+        """BuilderConfig for PLOD-CW.
         Args:
           **kwargs: keyword arguments forwarded to super.
         """
@@ -27,10 +27,10 @@ class PLODfilteredConfig(datasets.BuilderConfig):
 
 
 class PLODfilteredConfig(datasets.GeneratorBasedBuilder):
-    """PLOD Filtered dataset."""
+    """PLOD CW dataset."""
 
     BUILDER_CONFIGS = [
-        PLODfilteredConfig(name="PLODfiltered", version=datasets.Version("0.0.2"), description="PLOD filtered dataset"),
+        PLODfilteredConfig(name="PLOD-CW", version=datasets.Version("0.0.5"), description="PLOD CW dataset for NLP 2024"),
     ]
 
     def _info(self):
@@ -85,9 +85,9 @@ class PLODfilteredConfig(datasets.GeneratorBasedBuilder):
 
     _URL = "https://huggingface.co/datasets/surrey-nlp/PLOD-CW/resolve/main/data/"
     _URLS = {
-        "train": _URL + "data/train.conll",
-        "dev": _URL + "data/train.conll",
-        "test": _URL + "data/train.conll"
+        "train": _URL + "train.conll",
+        "dev": _URL + "dev.conll",
+        "test": _URL + "test.conll"
     }
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
@@ -101,15 +101,37 @@ class PLODfilteredConfig(datasets.GeneratorBasedBuilder):
         ]
 
     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'],
+        logger.info("⏳ Generating examples from = %s", filepath)
+        with open(filepath, encoding="utf-8") as f:
+            guid = 0
+            tokens = []
+            pos_tags = []
+            chunk_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 = []
+                        chunk_tags = []
+                        ner_tags = []
+                else:
+                    splits = line.split(" ")
+                    tokens.append(splits[0])
+                    pos_tags.append(splits[1])
+                    ner_tags.append(splits[3].rstrip())
+            # last example
+            if tokens:
+                yield guid, {
+                    "id": str(guid),
+                    "tokens": tokens,
+                    "pos_tags": pos_tags,
+                    "ner_tags": ner_tags,
                 }