Datasets:

Tasks:
Other
Languages:
Swedish
Multilinguality:
monolingual
Size Categories:
unknown
Language Creators:
other
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
structure-prediction
License:
Robin Kurtz commited on
Commit
e96a026
1 Parent(s): d072fee
Files changed (1) hide show
  1. suc3_1.py +16 -16
suc3_1.py CHANGED
@@ -54,16 +54,16 @@ _LICENSE = "CC-BY-4.0"
54
  # TODO: Add link to the official dataset URLs here
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  # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
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  # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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- _URL = "https://huggingface.co/datasets/KBLab/suc3.1/resolve/main/data/"
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  _URLS = {
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  "original_tags": {
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- "cased": "original_tags/cased",
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- "lower": "original_tags/lower",
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- "lower_mixed": "original_tags/lower_mix"},
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  "simple_tags": {
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- "cased": "simple_tags/cased",
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- "lower": "simple_tags/lower",
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- "lower_mixed": "simple_tags/lower_mix"}
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  }
68
 
69
 
@@ -118,10 +118,10 @@ class SUC3(datasets.GeneratorBasedBuilder):
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  description="manually annotated & lower",
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  ),
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  SUC3Config(
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- name="original_lower_mixed",
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  ner_label_names=_NER_LABEL_NAMES_ORIGINAL,
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- data_url=_URLS["original_tags"]["lower_mixed"],
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- description="manually annotated & lower_mixed",
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  ),
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  SUC3Config(
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  name="simple_cased",
@@ -136,18 +136,18 @@ class SUC3(datasets.GeneratorBasedBuilder):
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  description="automatically annotated & lower",
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  ),
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  SUC3Config(
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- name="simple_lower_mixed",
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  ner_label_names=_NER_LABEL_NAMES_SIMPLE,
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- data_url=_URLS["simple_tags"]["lower_mixed"],
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- description="autimatically annotated & lower_mixed",
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  ),
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  ]
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  def _info(self):
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  features = {"id": datasets.Value("string"),
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  "tokens": datasets.features.Sequence(datasets.Value("string")),
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- "pos_tags": datasets.features.Sequence(datasets.features.ClassLabel(_POS_LABEL_NAMES)),
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- "ner_tags": datasets.features.Sequence(datasets.features.ClassLabel(self.config.ner_label_names))}
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION + self.config.description,
@@ -159,7 +159,7 @@ class SUC3(datasets.GeneratorBasedBuilder):
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  def _split_generators(self, dl_manager):
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  dl_dir = dl_manager.download_and_extract(_URL + self.config.data_url)
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- dl_dir = os.path.join(dl_dir)
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
54
  # TODO: Add link to the official dataset URLs here
55
  # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
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  # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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+ _URL = "https://huggingface.co/datasets/KBLab/suc3_1/resolve/main/data/"
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  _URLS = {
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  "original_tags": {
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+ "cased": "original_tags/cased.tar.gz",
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+ "lower": "original_tags/lower.tar.gz",
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+ "lower_mix": "original_tags/lower_mix.tar.gz"},
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  "simple_tags": {
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+ "cased": "simple_tags/cased.tar.gz",
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+ "lower": "simple_tags/lower.tar.gz",
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+ "lower_mix": "simple_tags/lower_mix.tar.gz"}
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  }
68
 
69
 
118
  description="manually annotated & lower",
119
  ),
120
  SUC3Config(
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+ name="original_lower_mix",
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  ner_label_names=_NER_LABEL_NAMES_ORIGINAL,
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+ data_url=_URLS["original_tags"]["lower_mix"],
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+ description="manually annotated & lower_mix",
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  ),
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  SUC3Config(
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  name="simple_cased",
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  description="automatically annotated & lower",
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  ),
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  SUC3Config(
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+ name="simple_lower_mix",
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  ner_label_names=_NER_LABEL_NAMES_SIMPLE,
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+ data_url=_URLS["simple_tags"]["lower_mix"],
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+ description="autimatically annotated & lower_mix",
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  ),
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  ]
145
 
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  def _info(self):
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  features = {"id": datasets.Value("string"),
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  "tokens": datasets.features.Sequence(datasets.Value("string")),
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+ "pos_tags": datasets.features.Sequence(_POS_LABEL_NAMES),
150
+ "ner_tags": datasets.features.Sequence(self.config.ner_label_names)}
151
 
152
  return datasets.DatasetInfo(
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  description=_DESCRIPTION + self.config.description,
159
 
160
  def _split_generators(self, dl_manager):
161
  dl_dir = dl_manager.download_and_extract(_URL + self.config.data_url)
162
+ dl_dir = os.path.join(dl_dir, dl_dir.split("/")[-1].split(".")[0])
163
  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,