---

YAML tags:

annotations_creators:

- found

language_creators:

- found

- expert-generated

languages:

- hu

licenses:

- cc-by-4.0

multilinguality:

- monolingual

pretty_name: HuWSC

size_categories:

- unknown

source_datasets:

- extended|other

task_categories:

- structure-prediction

task_ids:

- coreference-resolution
---

# Dataset Card for HuWSC

## Table of Contents

- [Table of Contents](#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:**

[HuWSC dataset](https://github.com/nytud/HuWSC)

- **Paper:**

- **Leaderboard:**

- **Point of Contact:**

[lnnoemi](mailto:ligeti-nagy.noemi@nytud.hu)

### Dataset Summary

This is the dataset card for the Hungarian translation of the Winograd schemas. A Winograd schema is a pair of sentences that differ in only one or two words and that contain an ambiguity that is resolved in opposite ways in the two sentences and requires the use of world knowledge and reasoning for its resolution (Levesque et al. 2012). This dataset is also part of the Hungarian Language Understanding Evaluation Benchmark Kit [HuLU](hulu.nlp.nytud.hu). The corpus was created by translating and manually curating the original English Winograd schemas.

### 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 sentence, a question  and two possible answers, and a correct answer. 

An example:

```

{"ID": "1.1",
 "Sent": "A városi tanácstagok nem adtak engedélyt a tüntetőknek, mert kerülték az erőszakot.",
 "Question": "Kik kerülték az erőszakot?",
 "Answer1": "a városi tanácstagok",
 "Answer2": "a tüntetők",
 "CorrectAnswer": "1"
}

```

### Data Fields

- id: unique id of the instances;

- Sent: the sentence, which is a translation of the original English sentence;

- Question: a manually formed question;  

- Answer1: the first possible reference;

- Answer2: the second possible reference;

- CorrectAnswer: the number of the correct answer (1 or 2).

### Data Splits

## Dataset Creation

### Source Data

#### Initial Data Collection and Normalization

The data is a translation of the English Winograd schemas. Each schema was translated by a human translator. Each translation was manually checked and further refined by another annotator. Each schema was manually curated by a linguistic expert. 

## Additional Information

### Licensing Information

HuWSC is released under the BSD 2-Clause License.


### Citation Information

If you use this resource or any part of its documentation, please refer to:

Ligeti-Nagy, N., Ferenczi, G., Héja, E., Jelencsik-Mátyus, K., Laki, L. J., Vadász, N., Yang, Z. Gy. and Vadász, T. (2022) HuLU: magyar nyelvű benchmark adatbázis

kiépítése a neurális nyelvmodellek kiértékelése céljából [HuLU: Hungarian benchmark dataset to evaluate neural language models]. XVIII. Magyar Számítógépes Nyelvészeti Konferencia. (in press)

```

@inproceedings{ligetinagy2022hulu,

  title={HuLU: magyar nyelvű benchmark adatbázis kiépítése a neurális nyelvmodellek kiértékelése céljából},

  author={Ligeti-Nagy, N. and Ferenczi, G. and Héja, E. and Jelencsik-Mátyus, K. and Laki, L. J. and Vadász, N. and Yang, Z. Gy. and Vadász, T.},

  booktitle={XVIII. Magyar Számítógépes Nyelvészeti Konferencia},

  year={2022}

}

```

and to:

Levesque, Hector, Davis, Ernest, Morgenstern, Leora (2012) he winograd schema challenge. In: Thirteenth International Conference on the Principles of Knowledge Representation and Reasoning.

```

@inproceedings{levesque2012winograd,
  title={The winograd schema challenge},
  author={Levesque, Hector and Davis, Ernest and Morgenstern, Leora},
  booktitle={Thirteenth International Conference on the Principles of Knowledge Representation and Reasoning},
  year={2012},
  organization={Citeseer}
}

```

### Contributions

Thanks to [lnnoemi](https://github.com/lnnoemi) for adding this dataset.