README.md

metadata

YAML tags:
  - annotations_creators: null
  - found
language_creators:
  - found
  - expert-generated
languages:
  - hu
licenses:
  - bsd-2-clause
multilinguality:
  - monolingual
pretty_name: HuCoPA
size_categories:
  - unknown
source_datasets:
  - extended|other
task_categories:
  - other
task_ids:
  - other-other-commonsense-reasoning

Dataset Card for HuCoPA

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:
• Repository:
• Paper:
• Leaderboard:
• Point of Contact:

Dataset Summary

This is the dataset card for the Hungarian Choice of Plausible Alternatives Corpus (HuCoPA), which is also part of the Hungarian Language Understanding Evaluation Benchmark Kit HuLU. The corpus was created by translating and re-annotating the original English CoPA corpus (Roemmele et al., 2011).

Supported Tasks and Leaderboards

'commonsense reasoning' 'question answering'

Languages

The BCP-47 code for Hungarian, the only represented language in this dataset, is hu-HU.

Dataset Structure

Data Instances

For each instance, there is an id, a premise, a question ('cause' or 'effect'), two alternatives and a label (1 or 2).

An example:

{"idx": "1",
 "question": "cause",
 "label": "1",
 "premise": "A testem árnyékot vetett a fűre.",
 "choice1": "Felkelt a nap.",
 "choice2": "A füvet lenyírták."}

Data Fields

• id: unique id of the instances, an integer between 1 and 1000;
• question: "cause" or "effect". It suggests what kind of causal relation are we looking for: in the case of "cause" we search for the more plausible alternative that may be a cause of the premise. In the case of "effect" we are looking for a plausible result of the premise;
• premise: the premise, a sentence;
• choice1: the first alternative, a sentence;
• choice2: the second alternative, a sentence;
• label: the number of the more plausible alternative (1 or 2).

Data Splits

HuCoPA has 3 splits: train, validation and test.

Dataset split	Number of instances in the split
train	400
validation	100
test	500

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

[More Information Needed]

Contributions

Thanks to @github-username for adding this dataset.