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# Dataset Card for HuCOLA |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** |
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- **Repository:** |
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[HuCoPA dataset](https://github.com/nytud/HuCOLA) |
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- **Paper:** |
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- **Leaderboard:** |
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- **Point of Contact:** |
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[lnnoemi](mailto:ligeti-nagy.noemi@nytud.hu) |
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### Dataset Summary |
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This is the dataset card for the Hungarian Corpus of Linguistic Acceptability (HuCOLA), which is also part of the Hungarian Language Understanding Evaluation Benchmark Kit [HuLU](hulu.nlp.nytud.hu). |
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### Supported Tasks and Leaderboards |
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### Languages |
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The BCP-47 code for Hungarian, the only represented language in this dataset, is hu-HU. |
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## Dataset Structure |
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### Data Instances |
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For each instance, there is a unique id ('Sent_id', a sentence ('Sent') and a label (0 for wrong, 1 for good sentences). |
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An example: |
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``` |
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{"Sent_id": "dev_0", |
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"Sent": "A földek eláradtak.", |
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"Label": "0"} |
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``` |
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### Data Fields |
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- id: unique id of the instances, an integer between 1 and 1000; |
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- 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; |
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- premise: the premise, a sentence; |
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- choice1: the first alternative, a sentence; |
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- choice2: the second alternative, a sentence; |
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- label: the number of the more plausible alternative (1 or 2). |
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### Data Splits |
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HuCoPA has 3 splits: *train*, *validation* and *test*. |
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| Dataset split | Number of instances in the split | |
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|---------------|----------------------------------| |
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| train | 400 | |
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| validation | 100 | |
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| test | 500 | |
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The test data is distributed without the labels. To evaluate your model, please [contact us](mailto:ligeti-nagy.noemi@nytud.hu), or check [HuLU's website](hulu.nlp.nytud.hu) for an automatic evaluation (this feature is under construction at the moment). |
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## Dataset Creation |
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### Source Data |
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#### Initial Data Collection and Normalization |
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The data was collected by two human annotators from 3 main linguistic books on Hungarian language: |
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- Kiefer Ferenc (ed.) (1992), Strukturális magyar nyelvtan 1. Mondattan. Budapest, Akadémiai Kiadó. |
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- Alberti, Gábor and Laczkó, Tibor (eds) (2018), Syntax of Hungarian Nouns and Noun Phrases. I., II. Comprehensive grammar resources. Amsterdam University Press, Amsterdam. |
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- Katalin É. Kiss and Veronika Hegedűs (eds) (2021), Postpositions and Postpositional Phrases. Amsterdam: Amsterdam University Press. |
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The process of collecting sentences partly followed the one described in Warstadt et. al (2018). The guideline of our process is available in the repository of [HuCOLA](https://github.com/nytud/HuCOLA). |
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### Annotations |
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#### Annotation process |
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Each instance was annotated by 4 human annotators. |
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#### Who are the annotators? |
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The annotators were native Hungarian speakers (of various ages, from 20 to 67) without any linguistic backround. |
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## Additional Information |
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### Licensing Information |
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HuCOLA is released under the CC-BY-SA 4.0 licence. |
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### Citation Information |
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If you use this resource or any part of its documentation, please refer to: |
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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 |
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kiépítése a neurális nyelvmodellek kiértékelése céljából [HuLU: Hungarian benchmark dataset to evaluate neural language models]. XVIII. Magyar Számítógépes Nyelvészeti Konferencia. (in press) |
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``` |
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@inproceedings{ligetinagy2022hulu, |
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title={HuLU: magyar nyelvű benchmark adatbázis kiépítése a neurális nyelvmodellek kiértékelése céljából}, |
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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.}, |
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booktitle={XVIII. Magyar Számítógépes Nyelvészeti Konferencia}, |
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year={2022} |
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} |
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``` |
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### Contributions |
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Thanks to [lnnoemi](https://github.com/lnnoemi) for adding this dataset. |