
# Dataset Card for "sciarg"

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [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)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [https://github.com/anlausch/ArguminSci](https://github.com/anlausch/ArguminSci)
- **Repository:** [https://github.com/anlausch/ArguminSci](https://github.com/anlausch/ArguminSci)
- **Paper:** [An argument-annotated corpus of scientific publications](https://aclanthology.org/W18-5206.pdf)
- **Leaderboard:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 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](https://github.com/<github-username>) for adding this dataset.

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


# 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: URL
- Repository: URL
- Paper: An argument-annotated corpus of scientific publications
- Leaderboard: 
- Point of Contact: 

### 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



### Languages

The language in the dataset is English.

## Dataset Structure

### Data Instances



### 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



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### 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







### Contributions

Thanks to @github-username for adding this dataset.

# 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: URL
- Repository: URL
- Paper: An argument-annotated corpus of scientific publications
- Leaderboard: 
- Point of Contact: ### 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 ### Languages

The language in the dataset is English. ## Dataset Structure ### Data Instances ### 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 ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### 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 ### Contributions

Thanks to @github-username for adding this dataset.
TAGS
#task_categories-token-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-dr inventor corpus #language-English #argument mining #scientific text #relation extraction #argumentative discourse unit recognition #region-us 
 # 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: URL
- Repository: URL
- Paper: An argument-annotated corpus of scientific publications
- Leaderboard: 
- Point of Contact: ### 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 ### Languages

The language in the dataset is English. ## Dataset Structure ### Data Instances ### 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 ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### 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 ### Contributions

Thanks to @github-username for adding this dataset.
passage: TAGS
#task_categories-token-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-dr inventor corpus #language-English #argument mining #scientific text #relation extraction #argumentative discourse unit recognition #region-us 
# 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: URL
- Repository: URL
- Paper: An argument-annotated corpus of scientific publications
- Leaderboard: 
- Point of Contact:### 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### Languages

The language in the dataset is English.## Dataset Structure### Data Instances