Add UD

hr500k.py

@@ -33,74 +33,125 @@ are encoded as class labels.
 _HOMEPAGE = 'https://www.clarin.si/repository/xmlui/handle/11356/1183#'
 _LICENSE = ''
 
-_URL = 'https://huggingface.co/datasets/classla/hr500k/raw/main/data.zip'
-_TRAINING_FILE = 'train_ner.conllu'
-_DEV_FILE = 'dev_ner.conllu'
-_TEST_FILE = 'test_ner.conllu'
+_URLs = {
+    'ner': 'https://huggingface.co/datasets/classla/hr500k/raw/main/data_ner.zip',
+    'upos': 'https://huggingface.co/datasets/classla/hr500k/raw/main/data_ner.zip',
+    'ud': 'https://huggingface.co/datasets/classla/hr500k/raw/main/data_ud.zip'
+}
 
 
 class Hr500K(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version('1.0.0')
+    VERSION = datasets.Version('1.0.1')
 
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(
-            name='hr500k',
+            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):
-        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=[
-                            'X',
-                            'INTJ',
-                            'VERB',
-                            'PROPN',
-                            'ADV',
-                            'ADJ',
-                            'PUNCT',
-                            'PRON',
-                            'DET',
-                            'NUM',
-                            'SYM',
-                            'SCONJ',
-                            'NOUN',
-                            'AUX',
-                            'PART',
-                            'CCONJ',
-                            'ADP'
-                        ]
+        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=[
+                                'X',
+                                'INTJ',
+                                'VERB',
+                                'PROPN',
+                                'ADV',
+                                'ADJ',
+                                'PUNCT',
+                                'PRON',
+                                'DET',
+                                'NUM',
+                                'SYM',
+                                'SCONJ',
+                                'NOUN',
+                                'AUX',
+                                'PART',
+                                'CCONJ',
+                                'ADP'
+                            ]
+                        )
+                    ),
+                    '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-org',
+                                'B-misc',
+                                'B-per',
+                                'B-deriv-per',
+                                'B-org',
+                                'B-loc',
+                                'I-deriv-per',
+                                'I-misc',
+                                'I-loc',
+                                'I-per',
+                                'O'
+                            ]
+                        )
                     )
-                ),
-                'feats': datasets.Sequence(datasets.Value('string')),
-                'iob_tags': datasets.Sequence(
-                    datasets.features.ClassLabel(
-                        names=[
-                            'I-org',
-                            'B-misc',
-                            'B-per',
-                            'B-deriv-per',
-                            'B-org',
-                            'B-loc',
-                            'I-deriv-per',
-                            'I-misc',
-                            'I-loc',
-                            'I-per',
-                            'O'
-                        ]
+                }
+            )
+        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=[
+                                'det', 'aux_pass', 'list', 'cc', 'csubj', 'xcomp', 'nmod', 'dislocated', 'acl', 'fixed',
+                                'obj', 'dep', 'advmod_emph', 'goeswith', 'advmod', 'nsubj', 'punct', 'amod', 'expl_pv',
+                                'mark', 'obl', 'flat_foreign', 'conj', 'compound', 'expl', 'csubj_pass', 'appos',
+                                'case', 'advcl', 'parataxis', 'iobj', 'root', 'cop', 'aux', 'orphan', 'discourse',
+                                'nummod', 'nsubj_pass', 'vocative', 'flat', 'ccomp'
+                            ]
+                        )
                     )
-                )
-            }
-        )
+                }
+            )
 
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
@@ -113,78 +164,147 @@ class Hr500K(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-        data_dir = dl_manager.download_and_extract(_URL)
+        data_dir = dl_manager.download_and_extract(_URLs[self.config.name])
+
+        if self.config.name == 'ud':
+            training_file = 'train_ner_ud.conllu'
+            dev_file = 'dev_ner_ud.conllu'
+            test_file = 'test_ner_ud.conllu'
+        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),
+                    '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),
+                    '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),
+                    '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 = ''
-            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,
-                                    'xpos_tags': xpos_tags,
-                                    'upos_tags': upos_tags,
-                                    'feats': feats,
-                                    'iob_tags': iob_tags
-                                }
-                                tokens = []
-                                lemmas = []
-                                xpos_tags = []
-                                upos_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())
-                        xpos_tags.append(splits[3].strip())
-                        upos_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,
-                'xpos_tags': xpos_tags,
-                'upos_tags': upos_tags,
-                'feats': feats,
-                'iob_tags': iob_tags
-            }
+        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':
+                        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
+                }