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README.md

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----
-YAML tags:
-annotations_creators:
-- expert-generated
-language_creators:
-- found
-language:
-- hu
-license:
-- cc-by-sa-4.0
-multilinguality:
-- monolingual
-pretty_name: HuCOLA
-size_categories:
-- unknown
-source_datasets:
-- original
-task_categories:
-- conditional-text-generation
-task_ids:
-- machine-translation
-- summarization
-- text-simplification
----
-# Dataset Card for HuCOLA
-
-## 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:**
-[HuCOLA dataset](https://github.com/nytud/HuCOLA)
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
-[lnnoemi](mailto:[email protected])
-
-### Dataset Summary
-
-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).
-
-### Supported Tasks and Leaderboards
-
-
-
-
-### 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 and a label.
-
-An example:
-
-```
-{"Sent_id": "dev_0",
- "Sent": "A földek eláradtak.",
- "Label": "0"}
-```
-
-### Data Fields
-- Sent_id: unique id of the instances, an integer between 1 and 1000;
-- Sent: a Hungarian sentence;
-- label: '0' for wrong, '1' for good sentences.
-
-### Data Splits
-
-HuCOLA has 3 splits: *train*, *validation* and *test*. 
-
-| Dataset split | Number of sentences in the split | Proportion of the split
-|---------------|----------------------------------| ---------|
-| train         | 7276                              | 80%|
-| validation    | 900                             |10%|
-| test          | 900                              |10%|
-
-The test data is distributed without the labels. To evaluate your model, please [contact us](mailto:[email protected]), or check [HuLU's website](hulu.nlp.nytud.hu) for an automatic evaluation (this feature is under construction at the moment). The evaluation metric is Matthew's correlation coefficient. 
-
-## Dataset Creation
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-The data was collected by two human annotators from 3 main linguistic books on Hungarian language: 
- 
- - Kiefer Ferenc (ed.) (1992), Strukturális magyar nyelvtan 1. Mondattan. Budapest, Akadémiai Kiadó.
- - Alberti, Gábor and Laczkó, Tibor (eds) (2018), Syntax of Hungarian Nouns and Noun Phrases. I., II. Comprehensive grammar resources. Amsterdam University Press, Amsterdam.
- - Katalin É. Kiss and Veronika Hegedűs (eds) (2021), Postpositions and Postpositional Phrases. Amsterdam: Amsterdam University Press.
-
-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). 
-
-
-### Annotations
-
-#### Annotation process
-
-Each instance was annotated by 4 human annotators for its acceptability (see the annotation guidelines in the repository of [HuCOLA](https://github.com/nytud/HuCOLA)).
-
-#### Who are the annotators?
-
-The annotators were native Hungarian speakers (of various ages, from 20 to 67) without any linguistic backround.
-
-## Additional Information
-
-### Licensing Information
-
-HuCOLA is released under the CC-BY-SA 4.0 licence.
-
-### 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 Váradi, 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 Váradi, T.},
-  booktitle={XVIII. Magyar Számítógépes Nyelvészeti Konferencia},
-  year={2022}
-}
-```
-
-
-### Contributions
-
-Thanks to [lnnoemi](https://github.com/lnnoemi) for adding this dataset.

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