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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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+ *.gz 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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+ *.ot filter=lfs diff=lfs merge=lfs -text
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+ *.parquet 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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+ *.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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+ - found
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+ languages:
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+ - sv
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+ licenses:
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+ - cc-by-4-0
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 1K<n<10K
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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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+ # Swedish NER Corpus
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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://github.com/klintan/swedish-ner-corpus]()
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+ - **Repository:** [https://github.com/klintan/swedish-ner-corpus]()
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+ - **Point of contact:** Andreas Klintberg (ankl@kth.se)
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+
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+ ### Dataset Summary
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+
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+ Webbnyheter 2012 from Spraakbanken, semi-manually annotated and adapted for CoreNLP Swedish NER. Semi-manually defined in this case as: Bootstrapped from Swedish Gazetters then manually correcte/reviewed by two independent native speaking swedish annotators. No annotator agreement calculated.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ [More Information Needed]
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+
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+ ### Languages
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+
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+ Swedish
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ A sample dataset instance is provided below:
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+
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+ ```json
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+ {'id': '3',
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+ 'ner_tags': [4, 4, 0, 0, 0, 0, 0, 0, 3, 3, 0],
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+ 'tokens': ['Margaretha',
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+ 'Fahlgren',
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+ ',',
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+ 'professor',
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+ 'i',
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+ 'litteraturvetenskap',
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+ ',',
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+ 'vice-rektor',
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+ 'Uppsala',
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+ 'universitet',
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+ '.']}
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+ ```
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+
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+
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+
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+ ### Data Fields
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+
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+ - `id`: id of the sentence
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+ - `token`: current token
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+ - `ner_tag`: ner tag of the token
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+
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+ Full fields:
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+
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+ ```json
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+ {
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+ "id":{
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+ "feature_type":"Value"
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+ "dtype":"string"
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+ }
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+ "tokens":{
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+ "feature_type":"Sequence"
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+ "feature":{
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+ "feature_type":"Value"
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+ "dtype":"string"
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+ }
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+ }
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+ "ner_tags":{
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+ "feature_type":"Sequence"
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+ "dtype":"int32"
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+ "feature":{
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+ "feature_type":"ClassLabel"
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+ "dtype":"int32"
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+ "class_names":[
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+ 0:"0"
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+ 1:"LOC"
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+ 2:"MISC"
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+ 3:"ORG"
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+ 4:"PER"
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+ ]
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+ }
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+ }
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+ }
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+ ```
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+
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+ ### Data Splits
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+
130
+ [More Information Needed]
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+
132
+ ## Dataset Creation
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+
134
+ ### Curation Rationale
135
+
136
+ [More Information Needed]
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+
138
+ ### Source Data
139
+
140
+ [More Information Needed]
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
148
+ [More Information Needed]
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+
150
+ ### Annotations
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+
152
+ [More Information Needed]
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+
154
+ #### Annotation process
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+
156
+ [More Information Needed]
157
+
158
+ #### Who are the annotators?
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+
160
+ [More Information Needed]
161
+
162
+ ### Personal and Sensitive Information
163
+
164
+ [More Information Needed]
165
+
166
+ ## Considerations for Using the Data
167
+
168
+ ### Social Impact of Dataset
169
+
170
+ [More Information Needed]
171
+
172
+ ### Discussion of Biases
173
+
174
+ [More Information Needed]
175
+
176
+ ### Other Known Limitations
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+
178
+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ The original dataset was provided by Språkbanken which consists of news from Swedish newspapers' websites.
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+
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+ ### Licensing Information
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+
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+ https://github.com/klintan/swedish-ner-corpus/blob/master/LICENSE
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+
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+ ### Citation Information
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+
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+ [More Information Needed]
dataset_infos.json ADDED
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+ {"default": {"description": " Webbnyheter 2012 from Spraakbanken, semi-manually annotated and adapted for CoreNLP Swedish NER. Semi-manually defined in this case as: Bootstrapped from Swedish Gazetters then manually correcte/reviewed by two independent native speaking swedish annotators. No annotator agreement calculated.\n", "citation": "", "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": 5, "names": ["0", "LOC", "MISC", "ORG", "PER"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "swedish_ner_corpus_dataset", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2032630, "num_examples": 6886, "dataset_name": "swedish_ner_corpus_dataset"}, "test": {"name": "test", "num_bytes": 755234, "num_examples": 2453, "dataset_name": "swedish_ner_corpus_dataset"}}, "download_checksums": {"https://raw.githubusercontent.com/klintan/swedish-ner-corpus/master/train_corpus.txt": {"num_bytes": 986349, "checksum": "b0ba93840c13b882a336f5ae3b4af4cc5238203cd504acd5f44d8a7f643abf9f"}, "https://raw.githubusercontent.com/klintan/swedish-ner-corpus/master/test_corpus.txt": {"num_bytes": 398209, "checksum": "b13c8626cf6478df4b3e9a2e7fa5276fd45f757bc5af9f6bc4abc7d789af2fdd"}}, "download_size": 1384558, "post_processing_size": null, "dataset_size": 2787864, "size_in_bytes": 4172422}}
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:b78ed0de3025ccdcad974b048802b521128d8831d0d55b8ce6e844ccc69d9c5e
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+ size 450
swedish_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
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # 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
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+ # limitations under the License.
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+
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+ # Lint as: python3
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+ import datasets
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+
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+
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+ _DESCRIPTION = """\
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+ Webbnyheter 2012 from Spraakbanken, semi-manually annotated and adapted for CoreNLP Swedish NER. Semi-manually defined in this case as: Bootstrapped from Swedish Gazetters then manually correcte/reviewed by two independent native speaking swedish annotators. No annotator agreement calculated.
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+ """
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+ _HOMEPAGE_URL = "https://github.com/klintan/swedish-ner-corpus"
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+ _TRAIN_URL = "https://raw.githubusercontent.com/klintan/swedish-ner-corpus/master/train_corpus.txt"
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+ _TEST_URL = "https://raw.githubusercontent.com/klintan/swedish-ner-corpus/master/test_corpus.txt"
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+ _CITATION = None
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+
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+
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+ class SwedishNERCorpus(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(names=["0", "LOC", "MISC", "ORG", "PER"])
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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,
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ train_path = dl_manager.download_and_extract(_TRAIN_URL)
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+ test_path = dl_manager.download_and_extract(_TEST_URL)
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+ return [
53
+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN,
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+ gen_kwargs={"datapath": train_path},
56
+ ),
57
+ datasets.SplitGenerator(
58
+ name=datasets.Split.TEST,
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+ gen_kwargs={"datapath": test_path},
60
+ ),
61
+ ]
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+
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+ def _generate_examples(self, datapath):
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+ sentence_counter = 0
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+ with open(datapath, encoding="utf-8") as f:
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+ current_words = []
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+ current_labels = []
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+ for row in f:
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+ row = row.rstrip()
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+ row_split = row.split()
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+ if len(row_split) == 2:
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+ token, label = row_split
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+ current_words.append(token)
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+ current_labels.append(label)
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+ else:
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+ if not current_words:
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+ continue
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+ assert len(current_words) == len(current_labels), "word len doesnt match label length"
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+ sentence = (
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+ sentence_counter,
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+ {
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+ "id": str(sentence_counter),
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+ "tokens": current_words,
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+ "ner_tags": current_labels,
85
+ },
86
+ )
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+ sentence_counter += 1
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+ current_words = []
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+ current_labels = []
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+ yield sentence
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+
92
+ # if something remains:
93
+ if current_words:
94
+ sentence = (
95
+ sentence_counter,
96
+ {
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+ "id": str(sentence_counter),
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+ "tokens": current_words,
99
+ "ner_tags": current_labels,
100
+ },
101
+ )
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+ yield sentence