Datasets:

Languages:
Danish
Multilinguality:
monolingual
Size Categories:
n<1K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
stance-detection
License:
leondz commited on
Commit
38c5348
1 Parent(s): deed6eb

reader and metadata for polstance

Browse files
Files changed (3) hide show
  1. README.md +182 -0
  2. dataset_infos.json +1 -0
  3. polstance.py +110 -0
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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+ - da
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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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+ pretty_name: Political Stance for Danish
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+ size_categories:
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+ - n<1K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - text-classification
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+ task_ids:
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+ - sentiment-analysis
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+ ---
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+
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+ # Dataset Card for "rustance"
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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 and Leaderboards](#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-fields)
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+ - [Data Splits](#data-splits)
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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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+ - [Contributions](#contributions)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [https://stromberg.ai/publication/politicalstanceindanish/](https://stromberg.ai/publication/politicalstanceindanish/)
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+ - **Repository:** [https://github.com/StrombergNLP/Political-Stance-in-Danish/](https://github.com/StrombergNLP/Political-Stance-in-Danish/)
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+ - **Paper:** [https://aclanthology.org/W19-6121/](https://aclanthology.org/W19-6121/)
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+ - **Point of Contact:** [Leon Derczynski](https://github.com/leondz)
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+ - **Size of downloaded dataset files:** 548 KB
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+ - **Size of the generated dataset:** 222 KB
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+ - **Total amount of disk used:** 770 KB
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+
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+ ### Dataset Summary
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+
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+ Political stance in Danish. Examples represent statements by
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+ politicians and are annotated for, against, or neutral to a given topic/article.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ *
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+
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+ ### Languages
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+
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+ Danish, bcp47 `da-DK`
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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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+ #### polstance
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+
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+ An example of 'train' looks as follows.
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+
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+ ```
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+ {
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+ 'id': '0',
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+ 'topic': 'integration',
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+ 'quote': 'Der kunne jeg godt tænke mig, at der stod mere eksplicit, at de (landene, red.) skal bekæmpe menneskesmuglere og tage imod deres egne borgere',
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+ 'label': 2,
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+ 'quoteID': '516',
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+ 'party': 'Det Konservative Folkeparti',
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+ 'politician': 'Naser Khader',
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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`: a `string` feature.
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+ - `topic`: a `string` expressing a topic.
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+ - `quote`: a `string` to be classified for its stance to the topic.
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+ - `label`: a class label representing the stance the text expresses towards the target. Full tagset with indices:
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+
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+ ```
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+ 0: "against",
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+ 1: "neutral",
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+ 2: "for",
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+ ```
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+ - `quoteID`: a `string` of the internal quote ID.
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+ - `party`: a `string` describing the party affiliation of the quote utterer at the time of utterance.
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+ - `politician`: a `string` naming the politician who uttered the quote.
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+
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+ ### Data Splits
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+
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+ | name |train|
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+ |---------|----:|
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+ |polstance|900 sentences|
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ Collection of quotes from politicians to allow detecting how political quotes orient to issues.
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ The data is taken from proceedings of the Danish parliament, the Folketing - [ft.dk](https://ft.dk).
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+
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+ #### Who are the source language producers?
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+
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+ Danish polticians
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ Annotators labelled comments for being against, neutral, or for a specified topic
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+
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+ #### Who are the annotators?
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+
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+ Danish native speakers, 20s, male, studying Software Design.
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+
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+ ### Personal and Sensitive Information
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+
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+ The data was public at the time of collection and will remain open public record by law in Denmark.
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+
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+ ### Discussion of Biases
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+
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+
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+ ### Other Known Limitations
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+
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+ The above limitations apply.
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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 dataset is curated by the paper's authors.
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+
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+ ### Licensing Information
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+
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+ The authors distribute this data under Creative Commons attribution license, CC-BY 4.0.
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+
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+ ### Citation Information
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+
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+ ```
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+ @inproceedings{lehmann2019political,
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+ title={Political Stance in Danish},
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+ author={Lehmann, Rasmus and Derczynski, Leon},
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+ booktitle={Proceedings of the 22nd Nordic Conference on Computational Linguistics},
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+ pages={197--207},
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+ year={2019}
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+ }
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+ ```
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+
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+
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+ ### Contributions
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+
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+ Author-added dataset [@leondz](https://github.com/leondz)
dataset_infos.json ADDED
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+ {"PolStance": {"description": "Political stance in Danish. Examples represent statements by \npoliticians and are annotated for, against, or neutral to a given topic/article.\n", "citation": "@inproceedings{lehmann2019political,\n title={Political Stance in Danish},\n author={Lehmann, Rasmus and Derczynski, Leon},\n booktitle={Proceedings of the 22nd Nordic Conference on Computational Linguistics},\n pages={197--207},\n year={2019}\n}\n", "homepage": "https://stromberg.ai/publication/politicalstanceindanish/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "topic": {"dtype": "string", "id": null, "_type": "Value"}, "quote": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["a", "n", "f"], "id": null, "_type": "ClassLabel"}, "quoteID": {"dtype": "string", "id": null, "_type": "Value"}, "party": {"dtype": "string", "id": null, "_type": "Value"}, "politician": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "pol_stance", "config_name": "PolStance", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 214873, "num_examples": 900, "dataset_name": "pol_stance"}}, "download_checksums": {"https://raw.githubusercontent.com/StrombergNLP/Political-Stance-in-Danish/master/Scraper/resources/parsedQuotes/quote_db.csv": {"num_bytes": 548952, "checksum": "3f611d4146279d0779931163961b876e786a5b47856c2f2817512f47d03d9217"}}, "download_size": 548952, "post_processing_size": null, "dataset_size": 214873, "size_in_bytes": 763825}}
polstance.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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+ """Political Stance in Danish"""
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+
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+ import csv
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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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+ logger = datasets.logging.get_logger(__name__)
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+
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+
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+ _CITATION = """\
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+ @inproceedings{lehmann2019political,
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+ title={Political Stance in Danish},
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+ author={Lehmann, Rasmus and Derczynski, Leon},
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+ booktitle={Proceedings of the 22nd Nordic Conference on Computational Linguistics},
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+ pages={197--207},
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+ year={2019}
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+ }
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+ """
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+
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+ _DESCRIPTION = """\
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+ Political stance in Danish. Examples represent statements by
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+ politicians and are annotated for, against, or neutral to a given topic/article.
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+ """
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+
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+ _URL = "https://raw.githubusercontent.com/StrombergNLP/Political-Stance-in-Danish/master/Scraper/resources/parsedQuotes/quote_db.csv"
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+
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+
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+ class PolStanceConfig(datasets.BuilderConfig):
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+ """BuilderConfig for PolStance"""
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+
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+ def __init__(self, **kwargs):
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+ """BuilderConfig PolStance.
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+
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+ Args:
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+ **kwargs: keyword arguments forwarded to super.
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+ """
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+ super(PolStanceConfig, self).__init__(**kwargs)
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+
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+
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+ class PolStance(datasets.GeneratorBasedBuilder):
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+ """PolStance dataset."""
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+
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+ BUILDER_CONFIGS = [
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+ PolStanceConfig(name="PolStance", version=datasets.Version("1.0.0"), description="Political Stance in Danish"),
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+ ]
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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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+ # quoteID;party;politician;date;quote;falsePositive;subTopic;fan;articleID;topic
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+ {
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+ "id": datasets.Value("string"),
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+ "topic": datasets.Value("string"),
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+ "quote": datasets.Value("string"),
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+ "label": datasets.features.ClassLabel(
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+ names=["a", "n", "f"]
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+ ),
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+ "quoteID": datasets.Value("string"),
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+ "party": datasets.Value("string"),
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+ "politician": datasets.Value("string"),
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+ "quoteID": datasets.Value("string"),
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+ }
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+ ),
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+ supervised_keys=None,
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+ homepage="https://stromberg.ai/publication/politicalstanceindanish/",
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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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+ """Returns SplitGenerators."""
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+ downloaded_file = dl_manager.download_and_extract(_URL)
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+
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+ return [
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+ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_file}),
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+ ]
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+
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+ def _generate_examples(self, filepath):
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+ logger.info("⏳ Generating examples from = %s", filepath)
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+ with open(filepath, encoding="utf-16") as f:
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+ PolStance_reader = csv.DictReader(f, delimiter=";", quotechar='"')
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+ guid = 0
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+ for instance in PolStance_reader:
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+ if not instance["fan"]:
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+ continue
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+ instance["topic"] = instance["topic"].rstrip()
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+ instance["id"] = str(guid)
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+ instance["label"] = instance.pop("fan")
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+ for dropfield in ('falsePositive', 'subTopic', 'date', 'articleID'):
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+ instance.pop(dropfield)
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+ yield guid, instance
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+ guid += 1