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README.md

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----
-annotations_creators:
-- expert-generated
-language_creators:
-- other
-language:
-- sv
-license:
-- cc-by-4.0
-multilinguality:
-- monolingual
-size_categories:
-- unknown
-source_datasets:
-- original
-task_categories:
-- other
-task_ids:
-- named-entity-recognition
-- part-of-speech
-pretty_name: sucx3_ner
-tags:
-- structure-prediction
----
-# Dataset Card for _SUCX 3.0 - NER_
-
-## Dataset Description
-
-- **Homepage:** [https://spraakbanken.gu.se/en/resources/suc3](https://spraakbanken.gu.se/en/resources/suc3)
-- **Repository:** [https://github.com/kb-labb/sucx3_ner](https://github.com/kb-labb/sucx3_ner)
-- **Paper:** [SUC 2.0 manual](http://spraakbanken.gu.se/parole/Docs/SUC2.0-manual.pdf)
-- **Point of Contact:**
-
-### Dataset Summary
-
-The dataset is a conversion of the venerable SUC 3.0 dataset into the
-huggingface ecosystem.
-The original dataset does not contain an official train-dev-test split, which is
-introduced here; the tag distribution for the NER tags between the three splits
-is mostly the same.
-
-The dataset has three different types of tagsets: manually annotated POS,
-manually annotated NER, and automatically annotated NER.
-For the automatically annotated NER tags, only sentences were chosen, where the
-automatic and manual annotations would match (with their respective categories).
-
-Additionally we provide remixes of the same data with some or all sentences
-being lowercased.
-
-### Supported Tasks and Leaderboards
-
-- Part-of-Speech tagging
-- Named-Entity-Recognition
-
-### Languages
-
-Swedish
-
-## Dataset Structure
-
-### Data Remixes
-
-- `original_tags` contain the manual NER annotations
-  - `lower` the whole dataset uncased
-  - `lower_mix` some of the dataset uncased
-  - `lower_both` every instance both cased and uncased
-- `simple_tags` contain the automatic NER annotations
-  - `lower` the whole dataset uncased
-  - `lower_mix` some of the dataset uncased
-  - `lower_both` every instance both cased and uncased
-
-### Data Instances
-
-For each instance, there is an `id`, with an optional `_lower` suffix to mark
-that it has been modified, a `tokens` list of strings containing tokens, a
-`pos_tags` list of strings containing POS-tags, and a `ner_tags` list of strings
-containing NER-tags.
-
-```json
-{"id": "e24d782c-e2475603_lower",
-"tokens": ["-", "dels", "har", "vi", "inget", "index", "att", "g\u00e5", "efter", ",", "vi", "kr\u00e4ver", "allts\u00e5", "ers\u00e4ttning", "i", "40-talets", "penningv\u00e4rde", "."],
-"pos_tags": ["MID", "KN", "VB", "PN", "DT", "NN", "IE", "VB", "PP", "MID", "PN", "VB", "AB", "NN", "PP", "NN", "NN", "MAD"],
-"ner_tags": ["O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O"]}
-```
-
-### Data Fields
-
-- `id`: a string containing the sentence-id
-- `tokens`: a list of strings containing the sentence's tokens
-- `pos_tags`: a list of strings containing the tokens' POS annotations
-- `ner_tags`: a list of strings containing the tokens' NER annotations
-
-### Data Splits
-
-| Dataset Split | Size Percentage of Total Dataset Size | Number of Instances for the Original Tags |
-| ------------- | ------------------------------------- | ----------------------------------------- |
-| train         | 64%                                   | 46\,026                                   |
-| dev           | 16%                                   | 11\,506                                   |
-| test          | 20%                                   | 14\,383                                   |
-
-The `simple_tags` remix has fewer instances due to the requirement to match
-tags.
-
-## Dataset Creation
-
-See the [original webpage](https://spraakbanken.gu.se/en/resources/suc3)
-
-## Additional Information
-
-### Dataset Curators
-
-[Språkbanken]([email protected])
-
-### Licensing Information
-
-CC BY 4.0 (attribution)
-
-### Citation Information
-
-[SUC 2.0 manual](http://spraakbanken.gu.se/parole/Docs/SUC2.0-manual.pdf)
-
-### Contributions
-
-Thanks to [@robinqrtz](https://github.com/robinqrtz) for adding this dataset.

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sucx3_ner.py

@@ -1,189 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
-#
-# 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.
-
-# Lint as: python3
-"""The SuperGLUE benchmark."""
-
-import json
-import os
-
-import datasets
-
-_CITATION = """\
-@article{gustafson2006documentation,
-  title={Documentation of the Stockholm-Ume{\aa} Corpus},
-  author={Gustafson-Capkov{\'a}, Sofia and Hartmann, Britt},
-  journal={Stockholm University: Department of Linguistics},
-  year={2006}
-}
-"""
-
-# You can copy an official description
-_DESCRIPTION = """\
-    The dataset is a conversion of the venerable SUC 3.0 dataset into the
-    huggingface ecosystem. The original dataset does not contain an official
-    train-dev-test split, which is introduced here; the tag distribution for the
-    NER tags between the three splits is mostly the same.
-    
-    The dataset has three different types of tagsets: manually annotated POS,
-    manually annotated NER, and automatically annotated NER. For the
-    automatically annotated NER tags, only sentences were chosen, where the
-    automatic and manual annotations would match (with their respective
-    categories).
-    
-    Additionally we provide remixes of the same data with some or all sentences
-    being lowercased.
-"""
-
-_HOMEPAGE = "https://spraakbanken.gu.se/en/resources/suc3"
-
-_LICENSE = "CC-BY-4.0"
-
-# TODO: Add link to the official dataset URLs here
-# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
-# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-# _URL = "https://huggingface.co/datasets/KBLab/suc3_1/resolve/main/data/"
-_URL = "https://huggingface.co/datasets/KBLab/sucx3_ner/resolve/main/data/"
-_URLS = {
-    "original_tags": {
-        "cased": "original_tags/cased.tar.gz",
-        "lower": "original_tags/lower.tar.gz",
-        "lower_mix": "original_tags/lower_mix.tar.gz"},
-    "simple_tags": {
-        "cased": "simple_tags/cased.tar.gz",
-        "lower": "simple_tags/lower.tar.gz",
-        "lower_mix": "simple_tags/lower_mix.tar.gz"}
-}
-
-
-_POS_LABEL_NAMES = {
-    'AB', 'DT', 'HA', 'HD', 'HP', 'HS', 'IE', 'IN', 'JJ', 'KN', 'MAD', 'MID',
-    'NN', 'PAD', 'PC', 'PL', 'PM', 'PN', 'PP', 'PS', 'RG', 'RO', 'SN', 'UO',
-    'VB'
-}
-_NER_LABEL_NAMES_ORIGINAL = {
-    'B-animal', 'B-event', 'B-inst', 'B-myth', 'B-other', 'B-person',
-    'B-place', 'B-product', 'B-work', 'I-animal', 'I-event', 'I-inst',
-    'I-myth', 'I-other', 'I-person', 'I-place', 'I-product', 'I-work', 'O'
-}
-
-_NER_LABEL_NAMES_SIMPLE = {
-    'B-EVN', 'B-LOC', 'B-MSR', 'B-OBJ', 'B-ORG', 'B-PRS', 'B-TME', 'B-WRK',
-    'I-EVN', 'I-LOC', 'I-MSR', 'I-OBJ', 'I-ORG', 'I-PRS', 'I-TME', 'I-WRK', 'O'
-}
-
-
-class SUC3Config(datasets.BuilderConfig):
-    """BuilderConfig for Suc."""
-    def __init__(self,
-                 ner_label_names,
-                 description,
-                 data_url,
-                 **kwargs):
-        """BuilderConfig for Suc.
-        """
-        super(SUC3Config,
-              self).__init__(version=datasets.Version("1.0.2"), **kwargs)
-        self.ner_label_names = ner_label_names
-        self.description = description
-        self.data_url = data_url
-
-
-
-class SUC3(datasets.GeneratorBasedBuilder):
-    """The SuperGLUE benchmark."""
-
-    BUILDER_CONFIGS = [
-        SUC3Config(
-            name="original_cased",
-            ner_label_names=_NER_LABEL_NAMES_ORIGINAL,
-            data_url=_URLS["original_tags"]["cased"],
-            description="manually annotated & cased",
-        ),
-        SUC3Config(
-            name="original_lower",
-            ner_label_names=_NER_LABEL_NAMES_ORIGINAL,
-            data_url=_URLS["original_tags"]["lower"],
-            description="manually annotated & lower",
-        ),
-        SUC3Config(
-            name="original_lower_mix",
-            ner_label_names=_NER_LABEL_NAMES_ORIGINAL,
-            data_url=_URLS["original_tags"]["lower_mix"],
-            description="manually annotated & lower_mix",
-        ),
-        SUC3Config(
-            name="simple_cased",
-            ner_label_names=_NER_LABEL_NAMES_SIMPLE,
-            data_url=_URLS["simple_tags"]["cased"],
-            description="automatically annotated & cased",
-        ),
-        SUC3Config(
-            name="simple_lower",
-            ner_label_names=_NER_LABEL_NAMES_SIMPLE,
-            data_url=_URLS["simple_tags"]["lower"],
-            description="automatically annotated & lower",
-        ),
-        SUC3Config(
-            name="simple_lower_mix",
-            ner_label_names=_NER_LABEL_NAMES_SIMPLE,
-            data_url=_URLS["simple_tags"]["lower_mix"],
-            description="autimatically annotated & lower_mix",
-        ),
-    ]
-
-    def _info(self):
-        features = {"id": datasets.Value("string"),
-                    "tokens": datasets.features.Sequence(datasets.Value("string")),
-                    "pos_tags": datasets.features.Sequence(datasets.Value("string")),
-                    "ner_tags": datasets.features.Sequence(datasets.Value("string"))}
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION + self.config.description,
-            features=datasets.Features(features),
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-            supervised_keys=None,
-        )
-
-    def _split_generators(self, dl_manager):
-        dl_dir = dl_manager.download_and_extract(_URL + self.config.data_url)
-        dl_dir = os.path.join(dl_dir, self.config.data_url.split("/")[-1].split(".")[0])
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "train.jsonl"),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "dev.jsonl"),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "test.jsonl"),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, data_file):
-        with open(data_file, encoding="utf-8") as f:
-            for i, line in enumerate(f):
-                row = json.loads(line)
-                yield str(i), row