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Updating with reduced tag sets for NER

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README.md CHANGED
@@ -63,7 +63,102 @@ NorNE ads named entity annotations on top of the Norwegian Dependency Treebank.
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  ### Languages
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- Both Norwegian Bokmål (`bookmal`) and Nynorsk (`nynorsk`) are supported as different configs in this dataset.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Dataset Creation
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@@ -132,6 +227,8 @@ The class distribution is as follows, broken down across the data splits of the
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  | `EVT` | 131 | 9 | 5 | 145 |
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  | `MISC` | 8 | 0 | 0 | 0 |
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  ## Additional Information
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  ### Dataset Curators
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  ### Languages
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+ Both Norwegian Bokmål (`bookmal`) and Nynorsk (`nynorsk`) are supported as different configs in this dataset. An extra config for the combined languages is also included (`combined`). See the Annotation section for details on accessing reduced tag sets for the NER feature.
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+
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+ ## Dataset Structure
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+
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+ Each entry contains text sentences, their language, identifiers, tokens, lemmas, and corresponding NER and POS tag lists.
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+
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+ ### Data Instances
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+
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+ An example of the `train` split of the `bokmaal` config.
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+
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+ ```python
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+ {'idx': '000001',
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+ 'lang': 'bokmaal',
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+ 'lemmas': ['lam', 'og', 'piggvar', 'på', 'bryllupsmeny'],
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+ 'ner_tags': [0, 0, 0, 0, 0],
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+ 'pos_tags': [0, 9, 0, 5, 0],
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+ 'text': 'Lam og piggvar på bryllupsmenyen',
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+ 'tokens': ['Lam', 'og', 'piggvar', 'på', 'bryllupsmenyen']}
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+ ```
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+
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+ ### Data Fields
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+
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+ Each entry is annotated with the next fields:
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+
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+ - `idx` (`int`), text (sentence) identifier from the NorNE dataset
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+ - `lang` (`str`), language variety, either `bookmal`, `nynorsk` or `combined`
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+ - `text` (`str`), plain text
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+ - `tokens` (`List[str]`), list of tokens extracted from `text`
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+ - `lemmas` (`List[str]`), list of lemmas extracted from `tokens`
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+ - `ner_tags` (`List[int]`), list of numeric NER tags for each token in `tokens`
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+ - `pos_tags` (`List[int]`), list of numeric PoS tags for each token in `tokens`
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+
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+ An example DataFrame obtained from the dataset:
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+
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+ <table class="dataframe" border="1">
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+ <thead>
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+ <tr style="text-align: right;">
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+ <th></th>
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+ <th>idx</th>
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+ <th>lang</th>
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+ <th>text</th>
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+ <th>tokens</th>
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+ <th>lemmas</th>
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+ <th>ner_tags</th>
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+ <th>pos_tags</th>
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+ </tr>
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+ </thead>
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+ <tbody>
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+ <tr>
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+ <th>0</th>
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+ <td>000001</td>
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+ <td>bokmaal</td>
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+ <td>Lam og piggvar på bryllupsmenyen</td>
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+ <td>[Lam, og, piggvar, på, bryllupsmenyen]</td>
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+ <td>[lam, og, piggvar, på, bryllupsmeny]</td>
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+ <td>[0, 0, 0, 0, 0]</td>
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+ <td>[0, 9, 0, 5, 0]</td>
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+ </tr>
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+ <tr>
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+ <th>1</th>
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+ <td>000002</td>
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+ <td>bokmaal</td>
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+ <td>Kamskjell, piggvar og lammefilet sto på menyen...</td>
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+ <td>[Kamskjell, ,, piggvar, og, lammefilet, sto, p...</td>
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+ <td>[kamskjell, $,, piggvar, og, lammefilet, stå, ...</td>
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+ <td>[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]</td>
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+ <td>[0, 1, 0, 9, 0, 15, 2, 0, 2, 8, 6, 0, 1]</td>
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+ </tr>
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+ <tr>
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+ <th>2</th>
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+ <td>000003</td>
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+ <td>bokmaal</td>
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+ <td>Og til dessert: Parfait à la Mette-Marit.</td>
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+ <td>[Og, til, dessert, :, Parfait, à, la, Mette-Ma...</td>
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+ <td>[og, til, dessert, $:, Parfait, à, la, Mette-M...</td>
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+ <td>[0, 0, 0, 0, 7, 8, 8, 8, 0]</td>
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+ <td>[9, 2, 0, 1, 10, 12, 12, 10, 1]</td>
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+ </tr>
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+ </tbody>
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+ </table>
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+
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+ ### Data Splits
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+
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+ There are three splits: `train`, `validation` and `test`.
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+
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+ | Config | Split | Total |
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+ | :---------|-------------:|-------:|
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+ | `bokmaal` | `train` | 15696 |
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+ | `bokmaal` | `validation` | 2410 |
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+ | `bokmaal` | `test` | 1939 |
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+ | `nynorsk` | `train` | 14174 |
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+ | `nynorsk` | `validation` | 1890 |
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+ | `nynorsk` | `test` | 1511 |
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+ | `combined`| `test` | 29870 |
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+ | `combined`| `validation` | 4300 |
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+ | `combined`| `test` | 3450 |
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  ## Dataset Creation
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  | `EVT` | 131 | 9 | 5 | 145 |
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  | `MISC` | 8 | 0 | 0 | 0 |
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+ To access these reduce versions of the dataset, you can use the configs `bokmaal-7`, `nynorsk-7`, `combined-7` for the NER tag set with 7 tags ( **`ORG`**, **`LOC`**, `PER`, `PROD`, `EVT`, `DRV`, `MISC`), and `bokmaal-8`, `nynorsk-8`, `combined-8` for the NER tag set with 8 tags (`LOC_` and `ORG_`: **`ORG`**, **`LOC`**, **`GPE`**, `PER`, `PROD`, `EVT`, `DRV`, `MISC`). By default, the full set (9 tags) will be used.
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+
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  ## Additional Information
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  ### Dataset Curators
dataset_infos.json CHANGED
@@ -1 +1 @@
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- {"bokmaal": {"description": "NorNE is a manually annotated\ncorpus of named entities which extends the annotation of the existing\nNorwegian Dependency Treebank. Comprising both of the official standards of\nwritten Norwegian (Bokm\u00e5l and Nynorsk), the corpus contains around 600,000\ntokens and annotates a rich set of entity types including persons,\norganizations, locations, geo-political entities, products, and events,\nin addition to a class corresponding to nominals derived from names.\n", "citation": "@inproceedings{johansen2019ner,\n title={NorNE: Annotating Named Entities for Norwegian},\n author={Fredrik J\u00f8rgensen, Tobias Aasmoe, Anne-Stine Ruud Husev\u00e5g,\n Lilja \u00d8vrelid, and Erik Velldal},\n booktitle={LREC 2020},\n year={2020},\n url={https://arxiv.org/abs/1911.12146}\n}\n", "homepage": "https://github.com/ltgoslo/norne", "license": "", "features": {"idx": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "lemmas": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags": {"feature": {"num_classes": 17, "names": ["NOUN", "PUNCT", "ADP", "NUM", "SYM", "SCONJ", "ADJ", "PART", "DET", "CCONJ", "PROPN", "PRON", "X", "ADV", "INTJ", "VERB", "AUX"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}, "ner_tags": {"feature": {"num_classes": 19, "names": ["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-GPE_LOC", "I-GPE_LOC", "B-PROD", "I-PROD", "B-LOC", "I-LOC", "B-GPE_ORG", "I-GPE_ORG", "B-DRV", "I-DRV", "B-EVT", "I-EVT", "B-MISC", "I-MISC"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "norne", "config_name": "bokmaal", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 10032169, "num_examples": 15696, "dataset_name": "norne"}, "validation": {"name": "validation", "num_bytes": 1501730, "num_examples": 2410, "dataset_name": "norne"}, "test": {"name": "test", "num_bytes": 1234272, "num_examples": 1939, "dataset_name": "norne"}}, "download_checksums": {"https://raw.githubusercontent.com/ltgoslo/norne/master/ud/nob/no_bokmaal-ud-train.conllu": {"num_bytes": 16437262, "checksum": "b17efd70034071f65ba5e3a15bc15f9a597f4c1dd3febb2ffec964906a9c1a98"}, "https://raw.githubusercontent.com/ltgoslo/norne/master/ud/nob/no_bokmaal-ud-dev.conllu": {"num_bytes": 2453504, "checksum": "dba752ca6dc0c628f7cf12e9131b2627be0dff082bd96311bafce40590c46f9c"}, "https://raw.githubusercontent.com/ltgoslo/norne/master/ud/nob/no_bokmaal-ud-test.conllu": {"num_bytes": 2018475, "checksum": "ace6fa65758541333e6a64210fa8466145e024cbbab18a156e8757c8b21c103b"}}, "download_size": 20909241, "post_processing_size": null, "dataset_size": 12768171, "size_in_bytes": 33677412}, "nynorsk": {"description": "NorNE is a manually annotated\ncorpus of named entities which extends the annotation of the existing\nNorwegian Dependency Treebank. 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norne.py CHANGED
@@ -1,5 +1,5 @@
1
  # coding=utf-8
2
- # Copyright 2021 National Library of Norway.
3
  #
4
  # Licensed under the Apache License, Version 2.0 (the "License");
5
  # you may not use this file except in compliance with the License.
@@ -16,12 +16,7 @@
16
  # Lint as: python3
17
  """NorNE: Annotating Named Entities for Norwegian."""
18
 
19
- try:
20
- import conllu
21
- except ImportError:
22
- import sys
23
-
24
- print("Please, 'pip install conllu' to use the NorNE dataset", file=sys.stderr)
25
 
26
  import datasets
27
 
@@ -74,14 +69,118 @@ class Norne(datasets.GeneratorBasedBuilder):
74
  """NorNE dataset."""
75
 
76
  BUILDER_CONFIGS = [
77
- NorneConfig(name="bokmaal", version=datasets.Version("1.0.0"), description="NorNE bokmaal dataset"),
78
- NorneConfig(name="nynorsk", version=datasets.Version("1.0.0"), description="NorNE nynorsk dataset"),
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
79
  NorneConfig(
80
- name="combined", version=datasets.Version("1.0.0"), description="NorNE bokmaal and nynorsk dataset"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
81
  ),
82
  ]
83
 
84
  def _info(self):
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
85
  return datasets.DatasetInfo(
86
  description=_DESCRIPTION,
87
  features=datasets.Features(
@@ -114,31 +213,7 @@ class Norne(datasets.GeneratorBasedBuilder):
114
  ]
115
  )
116
  ),
117
- "ner_tags": datasets.Sequence(
118
- datasets.features.ClassLabel(
119
- names=[
120
- "O",
121
- "B-PER",
122
- "I-PER",
123
- "B-ORG",
124
- "I-ORG",
125
- "B-GPE_LOC",
126
- "I-GPE_LOC",
127
- "B-PROD",
128
- "I-PROD",
129
- "B-LOC",
130
- "I-LOC",
131
- "B-GPE_ORG",
132
- "I-GPE_ORG",
133
- "B-DRV",
134
- "I-DRV",
135
- "B-EVT",
136
- "I-EVT",
137
- "B-MISC",
138
- "I-MISC",
139
- ]
140
- )
141
- ),
142
  }
143
  ),
144
  supervised_keys=None,
@@ -152,7 +227,8 @@ class Norne(datasets.GeneratorBasedBuilder):
152
  dev_filepaths = []
153
  test_filepaths = []
154
  langs = []
155
- if self.config.name in ("bokmaal", "combined"):
 
156
  downloaded_files = dl_manager.download_and_extract(
157
  {
158
  "train": f"{_URL}{_BOKMAAL_TRAIN}",
@@ -164,7 +240,7 @@ class Norne(datasets.GeneratorBasedBuilder):
164
  dev_filepaths.append(downloaded_files["dev"])
165
  test_filepaths.append(downloaded_files["test"])
166
  langs.append("bokmaal")
167
- if self.config.name in ("nynorsk", "combined"):
168
  downloaded_files = dl_manager.download_and_extract(
169
  {
170
  "train": f"{_URL}{_NYNORSK_TRAIN}",
@@ -190,6 +266,21 @@ class Norne(datasets.GeneratorBasedBuilder):
190
 
191
  def _generate_examples(self, filepaths, langs):
192
  idx = 0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
193
  for filepath, lang in zip(filepaths, langs):
194
  with open(filepath, "r", encoding="utf-8") as data_file:
195
  tokens = list(conllu.parse_incr(data_file))
@@ -201,6 +292,6 @@ class Norne(datasets.GeneratorBasedBuilder):
201
  "tokens": [token["form"] for token in sent],
202
  "lemmas": [token["lemma"] for token in sent],
203
  "pos_tags": [token["upos"] for token in sent],
204
- "ner_tags": [token["misc"].get("name", "O") for token in sent],
205
  }
206
  idx += 1
1
  # coding=utf-8
2
+ # Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
3
  #
4
  # Licensed under the Apache License, Version 2.0 (the "License");
5
  # you may not use this file except in compliance with the License.
16
  # Lint as: python3
17
  """NorNE: Annotating Named Entities for Norwegian."""
18
 
19
+ import conllu
 
 
 
 
 
20
 
21
  import datasets
22
 
69
  """NorNE dataset."""
70
 
71
  BUILDER_CONFIGS = [
72
+ NorneConfig(name="bokmaal", version=datasets.Version("1.0.0"), description="NorNE bokmaal dataset (full set)"),
73
+ NorneConfig(name="nynorsk", version=datasets.Version("1.0.0"), description="NorNE nynorsk dataset (full set)"),
74
+ NorneConfig(
75
+ name="combined",
76
+ version=datasets.Version("1.0.0"),
77
+ description="NorNE bokmaal and nynorsk dataset (full set)",
78
+ ),
79
+ NorneConfig(
80
+ name="bokmaal-7",
81
+ version=datasets.Version("1.0.0"),
82
+ description="NorNE bokmaal dataset (GPE_LOC/GPE_ORG as LOC/ORG)",
83
+ ),
84
+ NorneConfig(
85
+ name="nynorsk-7",
86
+ version=datasets.Version("1.0.0"),
87
+ description="NorNE nynorsk dataset (GPE_LOC/GPE_ORG as LOC/ORG)",
88
+ ),
89
  NorneConfig(
90
+ name="combined-7",
91
+ version=datasets.Version("1.0.0"),
92
+ description="NorNE bokmaal and nynorsk dataset (GPE_LOC/GPE_ORG as LOC/ORG)",
93
+ ),
94
+ NorneConfig(
95
+ name="bokmaal-8",
96
+ version=datasets.Version("1.0.0"),
97
+ description="NorNE bokmaal dataset (GPE_LOC/GPE_ORG as GPE)",
98
+ ),
99
+ NorneConfig(
100
+ name="nynorsk-8",
101
+ version=datasets.Version("1.0.0"),
102
+ description="NorNE nynorsk dataset (GPE_LOC/GPE_ORG as GPE)",
103
+ ),
104
+ NorneConfig(
105
+ name="combined-8",
106
+ version=datasets.Version("1.0.0"),
107
+ description="NorNE bokmaal and nynorsk dataset (GPE_LOC/GPE_ORG as GPE)",
108
  ),
109
  ]
110
 
111
  def _info(self):
112
+ if self.config.name.endswith("-7"):
113
+ ner_tags = datasets.Sequence(
114
+ datasets.features.ClassLabel(
115
+ names=[
116
+ "O",
117
+ "B-PER",
118
+ "I-PER",
119
+ "B-ORG",
120
+ "I-ORG",
121
+ "B-PROD",
122
+ "I-PROD",
123
+ "B-LOC",
124
+ "I-LOC",
125
+ "B-DRV",
126
+ "I-DRV",
127
+ "B-EVT",
128
+ "I-EVT",
129
+ "B-MISC",
130
+ "I-MISC",
131
+ ]
132
+ )
133
+ )
134
+ elif self.config.name.endswith("-8"):
135
+ ner_tags = datasets.Sequence(
136
+ datasets.features.ClassLabel(
137
+ names=[
138
+ "O",
139
+ "B-PER",
140
+ "I-PER",
141
+ "B-ORG",
142
+ "I-ORG",
143
+ "B-PROD",
144
+ "I-PROD",
145
+ "B-LOC",
146
+ "I-LOC",
147
+ "B-GPE",
148
+ "I-GPE",
149
+ "B-DRV",
150
+ "I-DRV",
151
+ "B-EVT",
152
+ "I-EVT",
153
+ "B-MISC",
154
+ "I-MISC",
155
+ ]
156
+ )
157
+ )
158
+ else:
159
+ ner_tags = datasets.Sequence(
160
+ datasets.features.ClassLabel(
161
+ names=[
162
+ "O",
163
+ "B-PER",
164
+ "I-PER",
165
+ "B-ORG",
166
+ "I-ORG",
167
+ "B-GPE_LOC",
168
+ "I-GPE_LOC",
169
+ "B-PROD",
170
+ "I-PROD",
171
+ "B-LOC",
172
+ "I-LOC",
173
+ "B-GPE_ORG",
174
+ "I-GPE_ORG",
175
+ "B-DRV",
176
+ "I-DRV",
177
+ "B-EVT",
178
+ "I-EVT",
179
+ "B-MISC",
180
+ "I-MISC",
181
+ ]
182
+ )
183
+ )
184
  return datasets.DatasetInfo(
185
  description=_DESCRIPTION,
186
  features=datasets.Features(
213
  ]
214
  )
215
  ),
216
+ "ner_tags": ner_tags,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
217
  }
218
  ),
219
  supervised_keys=None,
227
  dev_filepaths = []
228
  test_filepaths = []
229
  langs = []
230
+ config_name = self.config.name.replace("-7", "").replace("-8", "")
231
+ if config_name in ("bokmaal", "combined"):
232
  downloaded_files = dl_manager.download_and_extract(
233
  {
234
  "train": f"{_URL}{_BOKMAAL_TRAIN}",
240
  dev_filepaths.append(downloaded_files["dev"])
241
  test_filepaths.append(downloaded_files["test"])
242
  langs.append("bokmaal")
243
+ if config_name in ("nynorsk", "combined"):
244
  downloaded_files = dl_manager.download_and_extract(
245
  {
246
  "train": f"{_URL}{_NYNORSK_TRAIN}",
266
 
267
  def _generate_examples(self, filepaths, langs):
268
  idx = 0
269
+ if self.config.name.endswith("-7"):
270
+
271
+ def filter_tags(x):
272
+ return x.replace("GPE_", "")
273
+
274
+ elif self.config.name.endswith("-8"):
275
+
276
+ def filter_tags(x):
277
+ return x.replace("_LOC", "").replace("_ORG", "")
278
+
279
+ else:
280
+
281
+ def filter_tags(x):
282
+ return x
283
+
284
  for filepath, lang in zip(filepaths, langs):
285
  with open(filepath, "r", encoding="utf-8") as data_file:
286
  tokens = list(conllu.parse_incr(data_file))
292
  "tokens": [token["form"] for token in sent],
293
  "lemmas": [token["lemma"] for token in sent],
294
  "pos_tags": [token["upos"] for token in sent],
295
+ "ner_tags": [filter_tags(token["misc"].get("name", "O")) for token in sent],
296
  }
297
  idx += 1
norne.py.lock DELETED
File without changes