# 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:ligeti-nagy.noemi@nytud.hu)

### 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: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). 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.
task_ids:text-simplification annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:unknown source_datasets:original language:hu license:cc-by-sa-4.0 region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["hu"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["conditional-text-generation"], "task_ids": ["machine-translation", "text-simplification"], "pretty_name": "HuCOLA"}
TAGS
#task_ids-text-simplification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Hungarian #license-cc-by-sa-4.0 #region-us 

Dataset Card for HuCOLA
=======================


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:
HuCOLA dataset
* Paper:
* Leaderboard:
* Point of Contact:
lnnoemi


### 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.


### 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:


### 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: train, Number of sentences in the split: 7276, Proportion of the split: 80%
Dataset split: validation, Number of sentences in the split: 900, Proportion of the split: 10%
Dataset split: test, Number of sentences in the split: 900, Proportion of the split: 10%


The test data is distributed without the labels. To evaluate your model, please contact us, or check HuLU's website 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.


### Annotations


#### Annotation process


Each instance was annotated by 4 human annotators for its acceptability (see the annotation guidelines in the repository of 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.


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)


### Contributions


Thanks to lnnoemi for adding this dataset.



### 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. ### 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: ### 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: train, Number of sentences in the split: 7276, Proportion of the split: 80%
Dataset split: validation, Number of sentences in the split: 900, Proportion of the split: 10%
Dataset split: test, Number of sentences in the split: 900, Proportion of the split: 10%


The test data is distributed without the labels. To evaluate your model, please contact us, or check HuLU's website 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. ### Annotations #### Annotation process


Each instance was annotated by 4 human annotators for its acceptability (see the annotation guidelines in the repository of 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.


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) ### Contributions


Thanks to lnnoemi for adding this dataset.
TAGS
#task_ids-text-simplification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Hungarian #license-cc-by-sa-4.0 #region-us 
 ### 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. ### 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: ### 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: train, Number of sentences in the split: 7276, Proportion of the split: 80%
Dataset split: validation, Number of sentences in the split: 900, Proportion of the split: 10%
Dataset split: test, Number of sentences in the split: 900, Proportion of the split: 10%


The test data is distributed without the labels. To evaluate your model, please contact us, or check HuLU's website 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. ### Annotations #### Annotation process


Each instance was annotated by 4 human annotators for its acceptability (see the annotation guidelines in the repository of 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.


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) ### Contributions


Thanks to lnnoemi for adding this dataset.
passage: TAGS
#task_ids-text-simplification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Hungarian #license-cc-by-sa-4.0 #region-us 
### 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.### 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:### 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: train, Number of sentences in the split: 7276, Proportion of the split: 80%
Dataset split: validation, Number of sentences in the split: 900, Proportion of the split: 10%
Dataset split: test, Number of sentences in the split: 900, Proportion of the split: 10%


The test data is distributed without the labels. To evaluate your model, please contact us, or check HuLU's website for an automatic evaluation (this feature is under construction at the moment). The evaluation metric is Matthew's correlation coefficient.


Dataset Creation
----------------### Source Data