Upload datasaur-OGZiZWFjODM-MjFmYmJjMTI.py with huggingface_hub

datasaur-OGZiZWFjODM-MjFmYmJjMTI.py

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+import os
+import json
+import datasets
+
+from sklearn.model_selection import train_test_split
+
+_DATASET_LABELS = ['O', 'B-NORP', 'I-NORP', 'B-DATE', 'I-DATE', 'B-PRODUCT', 'I-PRODUCT', 'B-WORK_OF_ART', 'I-WORK_OF_ART', 'B-PERCENT', 'I-PERCENT', 'B-MONEY', 'I-MONEY', 'B-LAW', 'I-LAW', 'B-TIME', 'I-TIME', 'B-CARDINAL', 'I-CARDINAL', 'B-LANGUAGE', 'I-LANGUAGE', 'B-ORDINAL', 'I-ORDINAL', 'B-LOC', 'I-LOC', 'B-GPE', 'I-GPE', 'B-PERSON', 'I-PERSON', 'B-ORG', 'I-ORG']
+
+class Custom(datasets.GeneratorBasedBuilder):
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description='',
+            features=datasets.Features(
+                {
+                    'id': datasets.Value('string'),
+                    'tokens': datasets.Sequence(datasets.Value('string')),
+                    'ner_tags': datasets.Sequence(
+                        datasets.features.ClassLabel(
+                            names=_DATASET_LABELS
+                        )
+                    ),
+                }
+            ),
+            supervised_keys=None,
+            homepage='',
+            citation='',
+        )
+
+    def _split_generators(self, dl_manager):
+        data_path = dl_manager.download_and_extract("data.jsonl")
+
+        with open(data_path, 'r') as file:
+            lines = file.readlines()
+
+        train_lines, valid_lines = train_test_split(lines, test_size=0.2, random_state=42)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'lines': train_lines}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={'lines': valid_lines}),
+        ]
+
+    def _generate_examples(self, lines):
+        for guid, line in enumerate(lines):
+            data = json.loads(line)
+            yield guid, {
+                'id': str(guid),
+                'tokens': data['words'],
+                'ner_tags': data['pos'],
+            }