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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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+ - en-US
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+ licenses: []
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+ multilinguality:
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+ - monolingual
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+ pretty_name: sciarg
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+ size_categories: []
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - token-classification
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+ task_ids:
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+ - parsing
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+ ---
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+
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+ # Dataset Card for sciarg
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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/anlausch/ArguminSci
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+ - **Repository:** https://github.com/anlausch/ArguminSci
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+ - **Paper:** https://aclanthology.org/W18-5206.pdf
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+ - **Leaderboard:** [Needs More Information]
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+ - **Point of Contact:** [Needs More Information]
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+
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+ ### Dataset Summary
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+
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+ This dataset is an extension of the Dr. Inventor corpus (Fisas et al., 2015, 2016) with an annotation layer containing fine-grained argumentative components and relations. It is the first argument-annotated corpus of scientific publications (in English), which allows for joint analyses of argumentation and other rhetorical dimensions of scientific writing.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ [Needs More Information]
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+
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+ ### Languages
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+
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+ English
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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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+ [Needs More Information]
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+
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+ ### Data Fields
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+
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+ -context: html text as string
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+ -file_name: a string name of file
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+ -spans: a sequence containing id, type, location and text of a span
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+ -relations: a sequence containing id, type and arguments of a relation
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+ -equivalence_relations:
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+ -events:
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+ -attributions:
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+ -normalizations:
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+ -notes:
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+
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+ ### Data Splits
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+
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+ train : 40 instances
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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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+ [Needs More Information]
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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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+ [Needs More Information]
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+
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+ #### Who are the source language producers?
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+
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+ [Needs More Information]
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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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+ Annotation guidelines can be found [here](http://data.dws.informatik.uni-mannheim.de/sci-arg/annotation_guidelines.pdf).
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+
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+ #### Who are the annotators?
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+
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+ [Needs More Information]
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+
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+ ### Personal and Sensitive Information
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+
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+ [Needs More Information]
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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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+ [Needs More Information]
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+
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+ ### Discussion of Biases
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+
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+ [Needs More Information]
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+
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+ ### Other Known Limitations
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+
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+ [Needs More Information]
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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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+ [Needs More Information]
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+
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+ ### Licensing Information
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+
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+ [Needs More Information]
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+
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+ ### Citation Information
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+
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+ @inproceedings{lauscher2018b,
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+ title = {An argument-annotated corpus of scientific publications},
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+ booktitle = {Proceedings of the 5th Workshop on Mining Argumentation},
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+ publisher = {Association for Computational Linguistics},
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+ author = {Lauscher, Anne and Glava\v{s}, Goran and Ponzetto, Simone Paolo},
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+ address = {Brussels, Belgium},
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+ year = {2018},
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+ pages = {4046}
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+ }