README.md

metadata

annotations_creators:
  - expert-generated
language:
  - en
language_creators:
  - expert-generated
license: []
multilinguality:
  - monolingual
pretty_name: SciArg
size_categories:
  - 1K<n<10K
source_datasets:
  - dr inventor corpus
tags:
  - argument mining
  - scientific text
  - relation extraction
  - argumentative discourse unit recognition
task_categories:
  - token-classification
task_ids: []

Dataset Card for "sciarg"

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://github.com/anlausch/ArguminSci
• Repository: https://github.com/anlausch/ArguminSci
• Paper: An argument-annotated corpus of scientific publications
• Leaderboard: More Information Needed
• Point of Contact: More Information Needed

Dataset Summary

The SciArg 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.

Supported Tasks and Leaderboards

More Information Needed

Languages

The language in the dataset is English.

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

• document_id: the base file name, e.g. "A28"
• text: the parsed text of the scientific publication in the XML format
• text_bound_annotations: span annotations that mark argumentative discourse units (ADUs). Each entry has the following fields: offsets, text, type, and id.
• 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.

Data Splits

The dataset consists of a single train split that has 40 documents.

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

@inproceedings{lauscher2018b,
  title = {An argument-annotated corpus of scientific publications},
  booktitle = {Proceedings of the 5th Workshop on Mining Argumentation},
  publisher = {Association for Computational Linguistics},
  author = {Lauscher, Anne and Glava\v{s}, Goran and Ponzetto, Simone Paolo},
  address = {Brussels, Belgium},
  year = {2018},
  pages = {40–46}
}

Contributions

Thanks to @github-username for adding this dataset.