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Update files from the datasets library (from 1.2.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bin.* filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.ot filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pb filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.tgz filter=lfs diff=lfs merge=lfs -text
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+ *.xz filter=lfs diff=lfs merge=lfs -text
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+ *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.zstandard filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ annotations_creators:
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+ - expert-generated
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+ language_creators:
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+ - expert-generated
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+ languages:
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+ - fi
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+ licenses:
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+ - cc-by-nc-sa-4-0
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 10K<n<100K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - structure-prediction
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+ task_ids:
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+ - named-entity-recognition
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+ ---
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+
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+ # Dataset Card Creation Guide
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-instances)
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+ - [Data Splits](#data-instances)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** https://turkunlp.org/fin-ner.html
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+ - **Repository:** https://github.com/TurkuNLP/turku-ner-corpus/
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+ - **Paper:** https://www.aclweb.org/anthology/2020.lrec-1.567/
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+ - **Leaderboard:** [If the dataset supports an active leaderboard, add link here]()
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+ - **Point of Contact:** {jouni.a.luoma,mhtoin,maria.h.pyykonen,mavela,sampo.pyysalo}@utu.f
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+
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+ ### Dataset Summary
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+
57
+ [More Information Needed]
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+
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+ ### Supported Tasks and Leaderboards
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+
61
+ [More Information Needed]
62
+
63
+ ### Languages
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+
65
+ [More Information Needed]
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+
67
+ ## Dataset Structure
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+
69
+ ### Data Instances
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+
71
+ [More Information Needed]
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+
73
+ ### Data Fields
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+
75
+ [More Information Needed]
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+
77
+ ### Data Splits
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+
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+ [More Information Needed]
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+ ## Dataset Creation
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+
82
+ ### Curation Rationale
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+
84
+ [More Information Needed]
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+
86
+ ### Source Data
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+
88
+ [More Information Needed]
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+
90
+ #### Initial Data Collection and Normalization
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+
92
+ [More Information Needed]
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+
94
+ #### Who are the source language producers?
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+
96
+ [More Information Needed]
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+
98
+ ### Annotations
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+
100
+ [More Information Needed]
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+
102
+ #### Annotation process
103
+
104
+ [More Information Needed]
105
+
106
+ #### Who are the annotators?
107
+
108
+ [More Information Needed]
109
+
110
+ ### Personal and Sensitive Information
111
+
112
+ [More Information Needed]
113
+
114
+ ## Considerations for Using the Data
115
+
116
+ ### Social Impact of Dataset
117
+
118
+ [More Information Needed]
119
+
120
+ ### Discussion of Biases
121
+
122
+ [More Information Needed]
123
+
124
+ ### Other Known Limitations
125
+
126
+ [More Information Needed]
127
+
128
+ ## Additional Information
129
+
130
+ ### Dataset Curators
131
+
132
+ [More Information Needed]
133
+
134
+ ### Licensing Information
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+
136
+ [More Information Needed]
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+
138
+ ### Citation Information
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+
140
+ [More Information Needed]
dataset_infos.json ADDED
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+ {"default": {"description": "An open, broad-coverage corpus for Finnish named entity recognition presented in Luoma et al. (2020) A Broad-coverage Corpus for Finnish Named Entity Recognition.\n", "citation": "@inproceedings{luoma-etal-2020-broad,\ntitle = \"A Broad-coverage Corpus for {F}innish Named Entity Recognition\",\nauthor = {Luoma, Jouni and Oinonen, Miika and Pyyk{\"o}nen, Maria and Laippala, Veronika and Pyysalo, Sampo},\nbooktitle = \"Proceedings of The 12th Language Resources and Evaluation Conference\",\nyear = \"2020\",\nurl = \"https://www.aclweb.org/anthology/2020.lrec-1.567\",\npages = \"4615--4624\",\n}\n", "homepage": "https://github.com/klintan/swedish-ner-corpus", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner_tags": {"feature": {"num_classes": 13, "names": ["B-DATE", "B-EVENT", "B-LOC", "B-ORG", "B-PER", "B-PRO", "I-DATE", "I-EVENT", "I-LOC", "I-ORG", "I-PER", "I-PRO", "O"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "turku_ner_corpus", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3257447, "num_examples": 12217, "dataset_name": "turku_ner_corpus"}, "validation": {"name": "validation", "num_bytes": 364223, "num_examples": 1364, "dataset_name": "turku_ner_corpus"}, "test": {"name": "test", "num_bytes": 416644, "num_examples": 1555, "dataset_name": "turku_ner_corpus"}}, "download_checksums": {"https://github.com/TurkuNLP/turku-ner-corpus/archive/v1.0.tar.gz": {"num_bytes": 1659911, "checksum": "c02dbca228431b17d90acfa67ad722cf81828b263a791de79fc578c478b1fb35"}}, "download_size": 1659911, "post_processing_size": null, "dataset_size": 4038314, "size_in_bytes": 5698225}}
dummy/1.0.0/dummy_data.zip ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:e9ad7c95fc1a8a70913639c16f151d05c5edb893f26554059a88fd7d089f9c37
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+ size 1911
turku_ner_corpus.py ADDED
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+ # coding=utf-8
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+ # Copyright 2020 HuggingFace Datasets Authors.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
9
+ #
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+ # Unless required by applicable law or agreed to in writing, software
11
+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
14
+ # limitations under the License.
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+
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+ # Lint as: python3
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+ import os
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+
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+ import datasets
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+
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+
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+ _DESCRIPTION = """\
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+ An open, broad-coverage corpus for Finnish named entity recognition presented in Luoma et al. (2020) A Broad-coverage Corpus for Finnish Named Entity Recognition.
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+ """
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+ _HOMEPAGE_URL = "https://turkunlp.org/fin-ner.html"
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+ _URL = "https://github.com/TurkuNLP/turku-ner-corpus/archive/v1.0.tar.gz"
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+ _CITATION = """\
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+ @inproceedings{luoma-etal-2020-broad,
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+ title = "A Broad-coverage Corpus for {F}innish Named Entity Recognition",
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+ author = {Luoma, Jouni and Oinonen, Miika and Pyyk{\"o}nen, Maria and Laippala, Veronika and Pyysalo, Sampo},
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+ booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference",
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+ year = "2020",
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+ url = "https://www.aclweb.org/anthology/2020.lrec-1.567",
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+ pages = "4615--4624",
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+ }
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+ """
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+
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+
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+ class TurkuNERCorpus(datasets.GeneratorBasedBuilder):
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+ VERSION = datasets.Version("1.0.0")
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+
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+ def _info(self):
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=datasets.Features(
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+ {
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+ "id": datasets.Value("string"),
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+ "tokens": datasets.Sequence(datasets.Value("string")),
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+ "ner_tags": datasets.Sequence(
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+ datasets.features.ClassLabel(
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+ names=[
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+ "B-DATE",
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+ "B-EVENT",
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+ "B-LOC",
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+ "B-ORG",
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+ "B-PER",
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+ "B-PRO",
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+ "I-DATE",
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+ "I-EVENT",
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+ "I-LOC",
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+ "I-ORG",
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+ "I-PER",
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+ "I-PRO",
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+ "O",
65
+ ]
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+ )
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+ ),
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+ },
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+ ),
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+ supervised_keys=None,
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+ homepage=_HOMEPAGE_URL,
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+ citation=_CITATION,
73
+ )
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+
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+ def _split_generators(self, dl_manager):
76
+ path = dl_manager.download_and_extract(_URL)
77
+ return [
78
+ datasets.SplitGenerator(
79
+ name=datasets.Split.TRAIN,
80
+ gen_kwargs={"data_path": path, "data_type": "train"},
81
+ ),
82
+ datasets.SplitGenerator(
83
+ name=datasets.Split.VALIDATION,
84
+ gen_kwargs={"data_path": path, "data_type": "valid"},
85
+ ),
86
+ datasets.SplitGenerator(
87
+ name=datasets.Split.TEST,
88
+ gen_kwargs={"data_path": path, "data_type": "test"},
89
+ ),
90
+ ]
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+
92
+ def _generate_examples(self, data_path, data_type):
93
+ if data_type == "train":
94
+ data_path = os.path.join(data_path, "turku-ner-corpus-1.0/data/conll/train.tsv")
95
+ elif data_type == "valid":
96
+ data_path = os.path.join(data_path, "turku-ner-corpus-1.0/data/conll/dev.tsv")
97
+ elif data_type == "test":
98
+ data_path = os.path.join(data_path, "turku-ner-corpus-1.0/data/conll/test.tsv")
99
+ else:
100
+ raise Exception("data_type not understood")
101
+
102
+ sentence_counter = 0
103
+ with open(data_path, encoding="utf-8") as f:
104
+ current_words = []
105
+ current_labels = []
106
+ for row in f:
107
+ row = row.rstrip()
108
+ row_split = row.split("\t")
109
+ if len(row_split) == 2:
110
+ token, label = row_split
111
+ current_words.append(token)
112
+ current_labels.append(label)
113
+ else:
114
+ if not current_words:
115
+ continue
116
+ assert len(current_words) == len(current_labels), "word len doesnt match label length"
117
+ sentence = (
118
+ sentence_counter,
119
+ {
120
+ "id": str(sentence_counter),
121
+ "tokens": current_words,
122
+ "ner_tags": current_labels,
123
+ },
124
+ )
125
+ sentence_counter += 1
126
+ current_words = []
127
+ current_labels = []
128
+ yield sentence
129
+
130
+ # if something remains:
131
+ if current_words:
132
+ sentence = (
133
+ sentence_counter,
134
+ {
135
+ "id": str(sentence_counter),
136
+ "tokens": current_words,
137
+ "ner_tags": current_labels,
138
+ },
139
+ )
140
+ yield sentence