Upload README.md

README.md

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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}
+  }