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README.md
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---
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annotations_creators:
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- expert-generated
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language:
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- en
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language_creators:
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- expert-generated
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license: []
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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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- 1K<n<10K
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source_datasets:
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- original
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tags:
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- argument mining
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- scientific text
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- relation extraction
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- argumentative discourse unit recognition
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task_categories:
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- token-classification
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task_ids: []
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---
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# Dataset Card for "sciarg"
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## Table of Contents
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- [Table of Contents](#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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## Dataset Description
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- **Homepage:** [https://github.com/anlausch/ArguminSci](https://github.com/anlausch/ArguminSci)
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- **Repository:** [https://github.com/anlausch/ArguminSci](https://github.com/anlausch/ArguminSci)
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- **Paper:** [An argument-annotated corpus of scientific publications](https://aclanthology.org/W18-5206.pdf)
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- **Leaderboard:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Dataset Summary
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The SciArg dataset is an extension of the Dr. Inventor corpus (Fisas et al., 2015, 2016) with an annotation layer containing
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fine-grained argumentative components and relations. It is the first argument-annotated corpus of scientific
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publications (in English), which allows for joint analyses of argumentation and other rhetorical dimensions of
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scientific writing.
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### Supported Tasks and Leaderboards
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Languages
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The language in the dataset is English.
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## Dataset Structure
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### Data Instances
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[More Information Needed]
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### Data Fields
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- `document_id`: the base file name, e.g. "A28"
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- `text`: the parsed text of the scientific publication in the XML format
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- `text_bound_annotations`: span annotations that mark argumentative discourse units (ADUs). Each entry has the following fields: `offsets`, `text`, `type`, and `id`.
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- `relations`: binary relation annotations that mark the argumentative relations that hold between a head and a tail ADU. Each entry has the following fields: `id`, `head`, `tail`, and `type` where `head` and `tail` each have the fields: `ref_id` and `role`.
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### Data Splits
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The dataset consists of a single `train` split that has 40 documents.
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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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 = {40–46}
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}
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```
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### Contributions
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Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
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