Convert dataset to Parquet

README.md

@@ -12,6 +12,35 @@ task_categories:
 task_ids:
 - named-entity-recognition
 pretty_name: Ontonotes5
+configs:
+- config_name: ontonotes5
+  data_files:
+  - split: train
+    path: ontonotes5/train-*
+  - split: validation
+    path: ontonotes5/validation-*
+  - split: test
+    path: ontonotes5/test-*
+  default: true
+dataset_info:
+  config_name: ontonotes5
+  features:
+  - name: tokens
+    sequence: string
+  - name: tags
+    sequence: int32
+  splits:
+  - name: train
+    num_bytes: 13828647
+    num_examples: 59924
+  - name: validation
+    num_bytes: 1874112
+    num_examples: 8528
+  - name: test
+    num_bytes: 1934244
+    num_examples: 8262
+  download_size: 4700778
+  dataset_size: 17637003
 ---
 
 # Dataset Card for "tner/ontonotes5"

dataset/label.json

@@ -1 +0,0 @@
-{"O": 0, "B-CARDINAL": 1, "B-DATE": 2, "I-DATE": 3, "B-PERSON": 4, "I-PERSON": 5, "B-NORP": 6, "B-GPE": 7, "I-GPE": 8, "B-LAW": 9, "I-LAW": 10, "B-ORG": 11, "I-ORG": 12, "B-PERCENT": 13, "I-PERCENT": 14, "B-ORDINAL": 15, "B-MONEY": 16, "I-MONEY": 17, "B-WORK_OF_ART": 18, "I-WORK_OF_ART": 19, "B-FAC": 20, "B-TIME": 21, "I-CARDINAL": 22, "B-LOC": 23, "B-QUANTITY": 24, "I-QUANTITY": 25, "I-NORP": 26, "I-LOC": 27, "B-PRODUCT": 28, "I-TIME": 29, "B-EVENT": 30, "I-EVENT": 31, "I-FAC": 32, "B-LANGUAGE": 33, "I-PRODUCT": 34, "I-ORDINAL": 35, "I-LANGUAGE": 36}

ontonotes5.py

@@ -1,84 +0,0 @@
-""" NER dataset compiled by T-NER library https://github.com/asahi417/tner/tree/master/tner """
-import json
-from itertools import chain
-import datasets
-
-logger = datasets.logging.get_logger(__name__)
-_DESCRIPTION = """[ontonotes5 NER dataset](https://aclanthology.org/N06-2015/)"""
-_NAME = "ontonotes5"
-_VERSION = "1.0.0"
-_CITATION = """
-@inproceedings{hovy-etal-2006-ontonotes,
-    title = "{O}nto{N}otes: The 90{\%} Solution",
-    author = "Hovy, Eduard  and
-      Marcus, Mitchell  and
-      Palmer, Martha  and
-      Ramshaw, Lance  and
-      Weischedel, Ralph",
-    booktitle = "Proceedings of the Human Language Technology Conference of the {NAACL}, Companion Volume: Short Papers",
-    month = jun,
-    year = "2006",
-    address = "New York City, USA",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/N06-2015",
-    pages = "57--60",
-}
-"""
-
-_HOME_PAGE = "https://github.com/asahi417/tner"
-_URL = f'https://huggingface.co/datasets/tner/{_NAME}/raw/main/dataset'
-_URLS = {
-    str(datasets.Split.TEST): [f'{_URL}/test.json'],
-    str(datasets.Split.TRAIN): [f'{_URL}/train{i:02d}.json' for i in range(4)],
-    str(datasets.Split.VALIDATION): [f'{_URL}/valid.json'],
-}
-
-
-class Ontonotes5Config(datasets.BuilderConfig):
-    """BuilderConfig"""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig.
-
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(Ontonotes5Config, self).__init__(**kwargs)
-
-
-class Ontonotes5(datasets.GeneratorBasedBuilder):
-    """Dataset."""
-
-    BUILDER_CONFIGS = [
-        Ontonotes5Config(name=_NAME, version=datasets.Version(_VERSION), description=_DESCRIPTION),
-    ]
-
-    def _split_generators(self, dl_manager):
-        downloaded_file = dl_manager.download_and_extract(_URLS)
-        return [datasets.SplitGenerator(name=i, gen_kwargs={"filepaths": downloaded_file[str(i)]})
-                for i in [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]]
-
-    def _generate_examples(self, filepaths):
-        _key = 0
-        for filepath in filepaths:
-            logger.info(f"generating examples from = {filepath}")
-            with open(filepath, encoding="utf-8") as f:
-                _list = [i for i in f.read().split('\n') if len(i) > 0]
-                for i in _list:
-                    data = json.loads(i)
-                    yield _key, data
-                    _key += 1
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "tokens": datasets.Sequence(datasets.Value("string")),
-                    "tags": datasets.Sequence(datasets.Value("int32")),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOME_PAGE,
-            citation=_CITATION,
-        )

ontonotes5/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+size 516218

ontonotes5/train-00000-of-00001.parquet

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+oid sha256:69fc972b2286c9238837abe95e1c51c6e37b18901ba4364ae79b4521cf02e5c8
+size 3670645

ontonotes5/validation-00000-of-00001.parquet

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+oid sha256:e51eaffa0ee4e1783bf2c7dae7c25ca9a7c9e478aea36695cd7ae415a410abaf
+size 513915