README.md

metadata

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 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:
• 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

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
PODCAST CC-BY-SA 4.0
SNLI CC-BY-SA 4.0
WNLI CC-BY-SA 4.0

Citation Information

[More Information Needed]