Add data and dataset loading script

data_ner.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9a57b6413a7fc87612ba3dc4b8b42a4ccd090edd1bad0894ec9a36453449077f
+size 2034756

data_ud.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:51075b8f311dbd0e493ac8a1cab4f824bd8dc4e3ad212d108494a5c147c889e8
+size 1289684

ssj500k.py

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+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the 'License');
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an 'AS IS' BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import os
+
+import datasets
+
+
+_CITATION = ''
+_DESCRIPTION = """
+"""
+_HOMEPAGE = ''
+_LICENSE = ''
+
+_URLs = {
+    'ner': 'https://huggingface.co/datasets/classla/ssj500k/raw/main/data_ner.zip',
+    'upos': 'https://huggingface.co/datasets/classla/ssj500k/raw/main/data_ner.zip',
+    'ud': 'https://huggingface.co/datasets/classla/ssj500k/raw/main/data_ud.zip'
+}
+
+_DATA_DIRS = {
+    'ner': 'data_ner',
+    'upos': 'data_ner',
+    'ud': 'data_ud'
+}
+
+
+class Ssj500K(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version('1.0.0')
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name='upos',
+            version=VERSION,
+            description=''
+        ),
+        datasets.BuilderConfig(
+            name='ner',
+            version=VERSION,
+            description=''
+        ),
+        datasets.BuilderConfig(
+            name='ud',
+            version=VERSION,
+            description=''
+        )
+    ]
+
+    DEFAULT_CONFIG_NAME = 'ner'
+
+    def _info(self):
+        if self.config.name == "upos":
+            features = datasets.Features(
+                {
+                    'sent_id': datasets.Value('string'),
+                    'text': datasets.Value('string'),
+                    'tokens': datasets.Sequence(datasets.Value('string')),
+                    'lemmas': datasets.Sequence(datasets.Value('string')),
+                    'xpos_tags': datasets.Sequence(datasets.Value('string')),
+                    'upos_tags': datasets.Sequence(
+                        datasets.features.ClassLabel(
+                            names=[
+                                'SCONJ',
+                                'ADP',
+                                'ADV',
+                                'NUM',
+                                'ADJ',
+                                'PRON',
+                                'DET',
+                                'X',
+                                'PART',
+                                'NOUN',
+                                'CCONJ',
+                                'PROPN',
+                                'PUNCT',
+                                'AUX',
+                                'VERB',
+                                'INTJ'
+                            ]
+                        )
+                    ),
+                    'feats': datasets.Sequence(datasets.Value('string')),
+                    'iob_tags': datasets.Sequence(datasets.Value('string'))
+                }
+            )
+        elif self.config.name == "ner":
+            features = datasets.Features(
+                {
+                    'sent_id': datasets.Value('string'),
+                    'text': datasets.Value('string'),
+                    'tokens': datasets.Sequence(datasets.Value('string')),
+                    'lemmas': datasets.Sequence(datasets.Value('string')),
+                    'xpos_tags': datasets.Sequence(datasets.Value('string')),
+                    'upos_tags': datasets.Sequence(datasets.Value('string')),
+                    'feats': datasets.Sequence(datasets.Value('string')),
+                    'iob_tags': datasets.Sequence(
+                        datasets.features.ClassLabel(
+                            names=[
+                                'I-per',
+                                'O',
+                                'I-org',
+                                'B-loc',
+                                'B-deriv-per',
+                                'I-loc',
+                                'I-deriv-per',
+                                'B-org',
+                                'B-per',
+                                'B-misc',
+                                'I-misc'
+                            ]
+                        )
+                    )
+                }
+            )
+        else:
+            features = datasets.Features(
+                {
+                    'sent_id': datasets.Value('string'),
+                    'text': datasets.Value('string'),
+                    'tokens': datasets.Sequence(datasets.Value('string')),
+                    'lemmas': datasets.Sequence(datasets.Value('string')),
+                    'xpos_tags': datasets.Sequence(datasets.Value('string')),
+                    'upos_tags': datasets.Sequence(datasets.Value('string')),
+                    'feats': datasets.Sequence(datasets.Value('string')),
+                    'iob_tags': datasets.Sequence(datasets.Value('string')),
+                    'uds': datasets.Sequence(
+                        datasets.features.ClassLabel(
+                            names=[
+                                'nsubj', 'root', 'csubj', 'flat', 'aux', 'fixed', 'ccomp', 'discourse', 'nmod', 'amod',
+                                'obj', 'nummod', 'iobj', 'mark', 'advmod', 'xcomp', 'acl', 'obl', 'flat_foreign', 'det',
+                                'cop', 'cc', 'advcl', 'expl', 'flat_name', 'appos', 'cc_preconj', 'parataxis', 'conj',
+                                'punct', 'case', 'dep'
+                            ]
+                        )
+                    )
+                }
+            )
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        data_dir = os.path.join(dl_manager.download_and_extract(_URLs[self.config.name]), _DATA_DIRS[self.config.name])
+
+        if self.config.name == 'ud':
+            training_file = 'train_ner_ud.conllup'
+            dev_file = 'dev_ner_ud.conllup'
+            test_file = 'test_ner_ud.conllup'
+        else:
+            training_file = 'train_ner.conllu'
+            dev_file = 'dev_ner.conllu'
+            test_file = 'test_ner.conllu'
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, gen_kwargs={
+                    'filepath': os.path.join(data_dir, training_file),
+                    'split': 'train'}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION, gen_kwargs={
+                    'filepath': os.path.join(data_dir, dev_file),
+                    'split': 'dev'}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST, gen_kwargs={
+                    'filepath': os.path.join(data_dir, test_file),
+                    'split': 'test'}
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        if self.config.name == 'ud':
+            with open(filepath, encoding='utf-8') as f:
+                sent_id = ''
+                text = ''
+                tokens = []
+                lemmas = []
+                xpos_tags = []
+                upos_tags = []
+                feats = []
+                iob_tags = []
+                uds = []
+                data_id = 0
+                for line in f:
+                    if line and not line == '\n' and not line.startswith('# global.columns'):
+                        if line.startswith('#'):
+                            if line.startswith('# sent_id'):
+                                if tokens:
+                                    yield data_id, {
+                                        'sent_id': sent_id,
+                                        'text': text,
+                                        'tokens': tokens,
+                                        'lemmas': lemmas,
+                                        'upos_tags': upos_tags,
+                                        'xpos_tags': xpos_tags,
+                                        'feats': feats,
+                                        'iob_tags': iob_tags,
+                                        'uds': uds
+                                    }
+                                    tokens = []
+                                    lemmas = []
+                                    upos_tags = []
+                                    xpos_tags = []
+                                    feats = []
+                                    iob_tags = []
+                                    uds = []
+                                    data_id += 1
+                                sent_id = line.split(' = ')[1].strip()
+                            elif line.startswith('# text'):
+                                text = line.split(' = ')[1].strip()
+                        elif not line.startswith('_'):
+                            splits = line.split('\t')
+                            tokens.append(splits[1].strip())
+                            lemmas.append(splits[2].strip())
+                            upos_tags.append(splits[3].strip())
+                            xpos_tags.append(splits[4].strip())
+                            feats.append(splits[5].strip())
+                            uds.append(splits[7].strip())
+
+                yield data_id, {
+                    'sent_id': sent_id,
+                    'text': text,
+                    'tokens': tokens,
+                    'lemmas': lemmas,
+                    'upos_tags': upos_tags,
+                    'xpos_tags': xpos_tags,
+                    'feats': feats,
+                    'iob_tags': iob_tags,
+                    'uds': uds
+                }
+        else:
+            with open(filepath, encoding='utf-8') as f:
+                sent_id = ''
+                text = ''
+                tokens = []
+                lemmas = []
+                xpos_tags = []
+                upos_tags = []
+                feats = []
+                iob_tags = []
+                data_id = 0
+                for line in f:
+                    if line and not line == '\n':
+                        if line.startswith('#'):
+                            if line.startswith('# sent_id'):
+                                if tokens:
+                                    yield data_id, {
+                                        'sent_id': sent_id,
+                                        'text': text,
+                                        'tokens': tokens,
+                                        'lemmas': lemmas,
+                                        'upos_tags': upos_tags,
+                                        'xpos_tags': xpos_tags,
+                                        'feats': feats,
+                                        'iob_tags': iob_tags
+                                    }
+                                    tokens = []
+                                    lemmas = []
+                                    upos_tags = []
+                                    xpos_tags = []
+                                    feats = []
+                                    iob_tags = []
+                                    data_id += 1
+                                sent_id = line.split(' = ')[1].strip()
+                            elif line.startswith('# text'):
+                                text = line.split(' = ')[1].strip()
+                        elif not line.startswith('_'):
+                            splits = line.split('\t')
+                            tokens.append(splits[1].strip())
+                            lemmas.append(splits[2].strip())
+                            upos_tags.append(splits[3].strip())
+                            xpos_tags.append(splits[4].strip())
+                            feats.append(splits[5].strip())
+                            iob_tags.append(splits[9].strip())
+
+                yield data_id, {
+                    'sent_id': sent_id,
+                    'text': text,
+                    'tokens': tokens,
+                    'lemmas': lemmas,
+                    'upos_tags': upos_tags,
+                    'xpos_tags': xpos_tags,
+                    'feats': feats,
+                    'iob_tags': iob_tags
+                }