---
license: cc
task_categories:
  - text-classification
language:
  - pl
  - en
pretty_name: Cross-Document Structure Theory datasets
size_categories:
  - 1K<n<10K
---

# Cross Document Structure Theory datasets

## 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:**
- **Repository:**
- **Paper:**
- **Point of Contact:** arkadiusz.janz@pwr.edu.pl

### Dataset Summary

Collection of sentence pairs annotated for the Cross-Document Structure Theory (CST) task.
It consists of 4 distinct datasets:

- WUT
- PODCAST
- SNLI
- WNLI

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

Polish language, PL
English language, EN

## Dataset Structure

### Data Instances

Data are structured in JSONL format, each single text sample is divided by sentence.

```
{
  "id": 0, 
  "sentence_1": "According to the television coverage of the royal wedding, the bride looked beautiful.", 
  "sentence_2": "The bride looked exceptionally beautiful.", 
  "cst": [
    {
      "supertype": "overlap", 
      "type": "attribution", 
      "knowledge": "text"
    }, 
    {
      "supertype": "overlap", 
      "type": "elaboration", 
      "knowledge": "text"
    }
  ]
}
```

### Data Fields

Description of json keys:

- `id`: identifier of the sentence pair
- `sentence_1`: first sentence
- `sentence_2`: second sentence
- `cst`: list of CST labels
    - `supertype`: relation supertype
    - `type`: specific relation type
    - `knowledge`: premise knowledge source

### Data Splits

We do not specify an exact data split for training and evaluation.

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection, Normalization and Post-processing

[More Information Needed]

### Annotations

![Obraz](typology_cst.png)

#### Annotation process

[More Information Needed]

#### Who are the annotators?

- professional linguists (mention all people involved)

### Personal and Sensitive Information

The datasets do not contain any personal or sensitive information.

## Considerations for Using the Data

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

Arkadiusz Janz (arkadiusz.janz@pwr.edu.pl)

### Licensing Information

WUT [CC-BY 2.5](https://creativecommons.org/licenses/by/2.5/)  
PODCAST [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)  
SNLI [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)  
WNLI [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)

### Citation Information

[More Information Needed]