README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - expert-generated
languages:
  - en-US
licenses: []
multilinguality:
  - monolingual
pretty_name: sciarg
size_categories: []
source_datasets:
  - original
task_categories:
  - token-classification
task_ids:
  - parsing

Dataset Card for sciarg

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks
  • 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

Dataset Description

• Homepage: https://github.com/anlausch/ArguminSci
• Repository: https://github.com/anlausch/ArguminSci
• Paper: https://aclanthology.org/W18-5206.pdf
• Leaderboard: [Needs More Information]
• Point of Contact: [Needs More Information]

Dataset Summary

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.

Supported Tasks and Leaderboards

[Needs More Information]

Languages

English

Dataset Structure

Data Instances

[Needs More Information]

Data Fields

''' -context: html content of data file as string -file_name: a string name of file -spans: a sequence containing id, type, location and text of a span -relations: a sequence containing id, type and arguments of a relation -equivalence_relations: -events: -attributions: -normalizations: -notes: '''

Data Splits

train : 40 instances

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

Annotation guidelines can be found here.

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

[Needs More Information]

Licensing Information

[Needs More Information]

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 = {4046} } '''