
# Dataset Card for wrbsc

## 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://clarin-pl.eu/dspace/handle/11321/305
- **Repository:** https://clarin-pl.eu/dspace/handle/11321/305
- **Paper:** [Needs More Information]
- **Leaderboard:** [Needs More Information]
- **Point of Contact:** [Needs More Information]

### Dataset Summary

WUT Relations Between Sentences Corpus contains 2827 pairs of related sentences. Relationships are derived from Cross-document Structure Theory (CST), which enables multi-document summarization through identification of cross-document rhetorical relationships within a cluster of related documents. Every relation was marked by at least 3 annotators.

### Supported Tasks and Leaderboards

[Needs More Information]

### Languages

Polish

## Dataset Structure

### Data Instances
An example contains two related sentences and a class representing the type of relationship between those sentences. 

```
{'relationship': 0,
 'sentence1': 'Znajdujące się w Biurze Bezpieczeństwa Narodowego akta Komisji Weryfikacyjnej WSI zostały przewiezione do siedziby Służby Kontrwywiadu Wojskowego.',
 'sentence2': '2008-07-03: Wywiezienie akt dotyczących WSI – sprawa dla prokuratury?'}
```

### Data Fields

- `sentence1`: the first sentence being compared (`string`)
- `sentence2`: the second sentence being compared (`string`)
- `relationship`: the type of relationship between those sentences. Can be one of 16 classes listed below:
  - `Krzyżowanie_się`: crossing
  - `Tło_historyczne`: historical background
  - `Źródło`: source
  - `Dalsze_informacje`: additional information
  - `Zawieranie`: inclusion
  - `Opis`: description
  - `Uszczegółowienie`: further detail 
  - `Parafraza`: paraphrase
  - `Spełnienie`: fulfillment
  - `Mowa_zależna`: passive voice
  - `Zmiana_poglądu`: change of opinion
  - `Streszczenie`: summarization
  - `Tożsamość`: identity
  - `Sprzeczność`: conflict
  - `Modalność`: modality
  - `Cytowanie`: quotation

### Data Splits

Single train split

## 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

[Needs More Information]

#### 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

Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)

### Citation Information
```
@misc{11321/305,	
 title = {{WUT} Relations Between Sentences Corpus},	
 author = {Oleksy, Marcin and Fikus, Dominika and Wolski, Micha{\l} and Podbielska, Ma{\l}gorzata and Turek, Agnieszka and Kędzia, Pawe{\l}},	
 url = {http://hdl.handle.net/11321/305},	
 note = {{CLARIN}-{PL} digital repository},	
 copyright = {Attribution-{ShareAlike} 3.0 Unported ({CC} {BY}-{SA} 3.0)},	
 year = {2016}	
}
```
### Contributions

Thanks to [@kldarek](https://github.com/kldarek) for adding this dataset.
task_categories:text-classification task_ids:semantic-similarity-classification annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:pl license:cc-by-sa-3.0 region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["pl"], "license": ["cc-by-sa-3.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["semantic-similarity-classification"], "pretty_name": "wrbsc", "dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "relationship", "dtype": {"class_label": {"names": {"0": "Krzy\u017cowanie_si\u0119", "1": "T\u0142o_historyczne", "2": "\u0179r\u00f3d\u0142o", "3": "Dalsze_informacje", "4": "Zawieranie", "5": "Opis", "6": "Uszczeg\u00f3\u0142owienie", "7": "Parafraza", "8": "Spe\u0142nienie", "9": "Mowa_zale\u017cna", "10": "Zmiana_pogl\u0105du", "11": "Streszczenie", "12": "To\u017csamo\u015b\u0107", "13": "Sprzeczno\u015b\u0107", "14": "Modalno\u015b\u0107", "15": "Cytowanie"}}}}], "splits": [{"name": "train", "num_bytes": 779881, "num_examples": 2827}], "download_size": 1273815, "dataset_size": 779881}}
TAGS
#task_categories-text-classification #task_ids-semantic-similarity-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Polish #license-cc-by-sa-3.0 #region-us 


# Dataset Card for wrbsc

## 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: 
- Leaderboard: 
- Point of Contact: 

### Dataset Summary

WUT Relations Between Sentences Corpus contains 2827 pairs of related sentences. Relationships are derived from Cross-document Structure Theory (CST), which enables multi-document summarization through identification of cross-document rhetorical relationships within a cluster of related documents. Every relation was marked by at least 3 annotators.

### Supported Tasks and Leaderboards



### Languages

Polish

## Dataset Structure

### Data Instances
An example contains two related sentences and a class representing the type of relationship between those sentences. 



### Data Fields

- 'sentence1': the first sentence being compared ('string')
- 'sentence2': the second sentence being compared ('string')
- 'relationship': the type of relationship between those sentences. Can be one of 16 classes listed below:
  - 'Krzyżowanie_się': crossing
  - 'Tło_historyczne': historical background
  - 'Źródło': source
  - 'Dalsze_informacje': additional information
  - 'Zawieranie': inclusion
  - 'Opis': description
  - 'Uszczegółowienie': further detail 
  - 'Parafraza': paraphrase
  - 'Spełnienie': fulfillment
  - 'Mowa_zależna': passive voice
  - 'Zmiana_poglądu': change of opinion
  - 'Streszczenie': summarization
  - 'Tożsamość': identity
  - 'Sprzeczność': conflict
  - 'Modalność': modality
  - 'Cytowanie': quotation

### Data Splits

Single train split

## 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

Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)



### Contributions

Thanks to @kldarek for adding this dataset.
# Dataset Card for wrbsc ## 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: 
- Leaderboard: 
- Point of Contact: ### Dataset Summary

WUT Relations Between Sentences Corpus contains 2827 pairs of related sentences. Relationships are derived from Cross-document Structure Theory (CST), which enables multi-document summarization through identification of cross-document rhetorical relationships within a cluster of related documents. Every relation was marked by at least 3 annotators. ### Supported Tasks and Leaderboards ### Languages

Polish ## Dataset Structure ### Data Instances
An example contains two related sentences and a class representing the type of relationship between those sentences. ### Data Fields

- 'sentence1': the first sentence being compared ('string')
- 'sentence2': the second sentence being compared ('string')
- 'relationship': the type of relationship between those sentences. Can be one of 16 classes listed below:
  - 'Krzyżowanie_się': crossing
  - 'Tło_historyczne': historical background
  - 'Źródło': source
  - 'Dalsze_informacje': additional information
  - 'Zawieranie': inclusion
  - 'Opis': description
  - 'Uszczegółowienie': further detail 
  - 'Parafraza': paraphrase
  - 'Spełnienie': fulfillment
  - 'Mowa_zależna': passive voice
  - 'Zmiana_poglądu': change of opinion
  - 'Streszczenie': summarization
  - 'Tożsamość': identity
  - 'Sprzeczność': conflict
  - 'Modalność': modality
  - 'Cytowanie': quotation ### Data Splits

Single train split ## 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

Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) ### Contributions

Thanks to @kldarek for adding this dataset.
TAGS
#task_categories-text-classification #task_ids-semantic-similarity-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Polish #license-cc-by-sa-3.0 #region-us 
 # Dataset Card for wrbsc ## 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: 
- Leaderboard: 
- Point of Contact: ### Dataset Summary

WUT Relations Between Sentences Corpus contains 2827 pairs of related sentences. Relationships are derived from Cross-document Structure Theory (CST), which enables multi-document summarization through identification of cross-document rhetorical relationships within a cluster of related documents. Every relation was marked by at least 3 annotators. ### Supported Tasks and Leaderboards ### Languages

Polish ## Dataset Structure ### Data Instances
An example contains two related sentences and a class representing the type of relationship between those sentences. ### Data Fields

- 'sentence1': the first sentence being compared ('string')
- 'sentence2': the second sentence being compared ('string')
- 'relationship': the type of relationship between those sentences. Can be one of 16 classes listed below:
  - 'Krzyżowanie_się': crossing
  - 'Tło_historyczne': historical background
  - 'Źródło': source
  - 'Dalsze_informacje': additional information
  - 'Zawieranie': inclusion
  - 'Opis': description
  - 'Uszczegółowienie': further detail 
  - 'Parafraza': paraphrase
  - 'Spełnienie': fulfillment
  - 'Mowa_zależna': passive voice
  - 'Zmiana_poglądu': change of opinion
  - 'Streszczenie': summarization
  - 'Tożsamość': identity
  - 'Sprzeczność': conflict
  - 'Modalność': modality
  - 'Cytowanie': quotation ### Data Splits

Single train split ## 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

Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) ### Contributions

Thanks to @kldarek for adding this dataset.
passage: TAGS
#task_categories-text-classification #task_ids-semantic-similarity-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Polish #license-cc-by-sa-3.0 #region-us 
# Dataset Card for wrbsc## 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: 
- Leaderboard: 
- Point of Contact:### Dataset Summary

WUT Relations Between Sentences Corpus contains 2827 pairs of related sentences. Relationships are derived from Cross-document Structure Theory (CST), which enables multi-document summarization through identification of cross-document rhetorical relationships within a cluster of related documents. Every relation was marked by at least 3 annotators.### Supported Tasks and Leaderboards### Languages

Polish## Dataset Structure### Data Instances
An example contains two related sentences and a class representing the type of relationship between those sentences.