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 Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
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.