Upload _ontonotes.py

_ontonotes.py

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+import os
+import datasets
+import json
+from pathlib import Path
+
+_ROOT = Path(__file__).resolve().parent
+
+_DATA_POS = {
+    "train": "./data/g_train.json", 
+    "test": "./data/g_test.json", 
+    "val": "./data/g_dev.json", 
+    "extra": "./data/augmented_train.json"
+}
+
+_DESCIPTION = "contains original ontonotes train/dev/test dataset from  https://github.com/shimaokasonse/NFGEC, as well as newly augmented training dataset. "
+
+
+class ontonotes(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCIPTION,
+            features=datasets.Features({
+                "mention_span": datasets.Value("string"),
+                "right_context_token": datasets.Value("string"),
+                "left_context_token": datasets.Value("string"),
+                "y_str": datasets.Sequence(datasets.Value("string")),
+                "y_type_str": datasets.Sequence(datasets.Value("string")),
+                "y": datasets.Sequence(datasets.Value("int32")),
+                "y_type": datasets.Sequence(datasets.Value("int32")),
+                "annot_id": datasets.Value("string"),
+            })
+        )
+    
+    def _split_generators(self, dl_manager):
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "path": _DATA_POS["train"], "split": "train"
+                }
+                
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "path": _DATA_POS["test"], "split": "test"
+                }
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "path": _DATA_POS["val"], "split": "val"
+                }
+            ),
+            datasets.SplitGenerator(
+                name="extra",
+                gen_kwargs={
+                    "path": _DATA_POS["extra"], "split": "extra"
+                }
+            )
+        ]
+    
+    def _generate_examples(self, path, split):
+        # f 是多行 JSON
+        with open(path, "r") as f:
+            data = [json.loads(line) for line in f]
+                    
+        for i, example in enumerate(data):
+            yield i, {
+                "mention_span": example["mention_span"],
+                "right_context_token": example["right_context_token"],
+                "left_context_token": example["left_context_token"],
+                "y_str": example["y_str"],
+                "y_type_str": example["y_type_str"],
+                "y": example["y"],
+                "y_type": example["y_type"],
+                "annot_id": example["annot_id"]
+            }
+