Update parquet files

.gitattributes

@@ -0,0 +1 @@
+janes_tag/janes_tag-train.parquet filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,20 +0,0 @@
----
-language:
-- si
-license:
-- cc-by-sa-4.0
-task_categories:
-- other
-task_ids:
-- lemmatization
-- part-of-speech
-tags:
-- structure-prediction
-- normalization
-- tokenization
----
-The dataset contains 6273 training samples, 762 validation samples and 749 test samples. 
-Each sample represents a sentence and includes the following features: sentence ID ('sent\_id'), 
-list of tokens ('tokens'), list of normalised word forms ('norms'), list of lemmas ('lemmas'), 
-list of Multext-East tags ('xpos\_tags), list of morphological features ('feats'), 
-and list of UPOS tags ('upos\_tags'), which are encoded as class labels.

janes_tag.py

@@ -1,159 +0,0 @@
-# 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 = """The dataset contains 6273 training samples, 762 validation samples and 749 test samples. 
-Each sample represents a sentence and includes the following features: sentence ID ('sent_id'), 
-list of tokens ('tokens'), list of normalised word forms ('norms'), list of lemmas ('lemmas'), 
-list of Multext-East tags ('xpos_tags), list of morphological features ('feats'), 
-and list of UPOS tags ('upos_tags'), which are encoded as class labels.
-"""
-_HOMEPAGE = ''
-_LICENSE = ''
-
-_URL = 'https://huggingface.co/datasets/classla/janes_tag/raw/main/data.zip'
-_TRAINING_FILE = 'train_all.conllup'
-_DEV_FILE = 'dev_all.conllup'
-_TEST_FILE = 'test_all.conllup'
-_DATA_DIR = 'data'
-
-
-class JanesTag(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version('1.0.0')
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name='janes_tag',
-            version=VERSION,
-            description=''
-        )
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                'sent_id': datasets.Value('string'),
-                'tokens': datasets.Sequence(datasets.Value('string')),
-                'norms': datasets.Sequence(datasets.Value('string')),
-                'lemmas': datasets.Sequence(datasets.Value('string')),
-                'xpos_tags': datasets.Sequence(datasets.Value('string')),
-                'feats': datasets.Sequence(datasets.Value('string')),
-                'upos_tags': datasets.Sequence(
-                    datasets.features.ClassLabel(
-                        names=[
-                            'SCONJ VERB', 'NOUN', 'NOUN NOUN', 'CCONJ SCONJ', 'ADV X', 'ADJ', 'NOUN NUM', 'ADP VERB',
-                            'CCONJ', 'SCONJ AUX', 'VERB', 'PRON PRON', 'CCONJ PART', 'ADV ADJ', 'PRON AUX', 'AUX AUX',
-                            'VERB ADP', 'DET ADJ', 'ADJ NOUN', 'PART PART', 'ADV AUX', 'NOUN ADV', 'PART CCONJ',
-                            'DET NOUN', 'CCONJ CCONJ', 'ADV', 'NUM', 'AUX NUM', 'ADV DET', 'ADV ADV', 'PRON VERB',
-                            'ADP PRON', 'DET AUX', 'VERB ADV', 'PROPN PROPN', 'NOUN PROPN', 'ADJ ADP', 'PART AUX',
-                            'PROPN NOUN', 'PROPN ADV', 'ADP NOUN', 'NUM ADV', 'NOUN ADJ', 'SCONJ', 'PART NOUN',
-                            'ADV NUM', 'VERB PRON', 'PART ADJ', 'AUX', 'ADP NUM', 'PRON', 'ADP ADJ', 'INTJ', 'ADV VERB',
-                            'NOUN SYM', 'PART', 'ADV PART', 'DET VERB', 'SCONJ PART', 'ADV SCONJ', 'NOUN CCONJ',
-                            'NUM DET', 'ADP X', 'INTJ X', 'NOUN VERB', 'PUNCT', 'ADP', 'ADV CCONJ', 'NOUN DET',
-                            'X NOUN', 'DET', 'PROPN X', 'SYM', 'PROPN NUM', 'PART VERB', 'SYM INTJ', 'ADP ADV',
-                            'X PROPN', 'X X', 'PROPN', 'ADP DET', 'X', 'AUX ADV', 'NUM NOUN', 'INTJ NOUN', 'AUX PRON',
-                            'PART ADV', 'PRON ADP', 'INTJ INTJ', 'VERB NOUN', 'NOUN AUX'
-                        ]
-                    )
-                )
-            }
-        )
-
-        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(_URL), _DATA_DIR)
-
-        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):
-        with open(filepath, encoding='utf-8') as f:
-            sent_id = ''
-            tokens = []
-            norms = []
-            lemmas = []
-            xpos_tags = []
-            feats = []
-            upos_tags = []
-            data_id = 0
-            for line in f:
-                if line and line != '\n' and not line.startswith('# global.columns') and not line.startswith('# text'):
-                    if line.startswith('# sent_id'):
-                        if tokens:
-                            yield data_id, {
-                                'sent_id': sent_id,
-                                'tokens': tokens,
-                                'norms': norms,
-                                'lemmas': lemmas,
-                                'xpos_tags': xpos_tags,
-                                'feats': feats,
-                                'upos_tags': upos_tags
-                            }
-                            tokens = []
-                            norms = []
-                            lemmas = []
-                            xpos_tags = []
-                            feats = []
-                            upos_tags = []
-                            data_id += 1
-                        sent_id = line.split(' = ')[1].strip()
-                    else:
-                        splits = line.split('\t')
-                        tokens.append(splits[1].strip())
-                        norms.append(splits[2].strip())
-                        lemmas.append(splits[3].strip())
-                        upos_tags.append(splits[4].strip())
-                        xpos_tags.append(splits[5].strip())
-                        feats.append(splits[6].strip())
-
-            yield data_id, {
-                'sent_id': sent_id,
-                'tokens': tokens,
-                'norms': norms,
-                'lemmas': lemmas,
-                'xpos_tags': xpos_tags,
-                'feats': feats,
-                'upos_tags': upos_tags
-            }

janes_tag/janes_tag-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:611130a5796e49eac331273d5ff9ade2e53313a9110fb04fdf0f96eb1e2daf32
+size 1179248