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Datasets:
DFKI-SLT
/
brat

Tasks:
Token Classification
Sub-tasks:
parsing
Dataset card Files Community
3
brat
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---
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-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-instances)
  - [Data Splits](#data-instances)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation 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 text 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](http://data.dws.informatik.uni-mannheim.de/sci-arg/annotation_guidelines.pdf).

#### 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}
  }