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README.md

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----
-YAML tags:
-annotations_creators:
-- found
-language_creators:
-- found
-- expert-generated
-language:
-- hu
-license:
-- bsd-2-clause
-multilinguality:
-- monolingual
-pretty_name: HuSST
-size_categories:
-- unknown
-source_datasets:
-- extended|other
-task_categories:
-- text-classification
-- text-scoring
-task_ids:
-- sentiment-classification
-- sentiment-scoring
----
-
-# Dataset Card for HuSST
-
-## 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)
-
-  - [Language](#language)
-
-- [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:**
-[HuSST dataset](https://github.com/nytud/HuSST)
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
-[lnnoemi](mailto:[email protected])
-
-### Dataset Summary
-
-This is the dataset card for the Hungarian version of the Stanford Sentiment Treebank. This dataset which is also part of the Hungarian Language Understanding Evaluation Benchmark Kit [HuLU](hulu.nlp.nytud.hu). The corpus was created by translating and re-annotating the original SST (Roemmele et al., 2011).
-
-### Supported Tasks and Leaderboards
-
-'sentiment classification'
-
-
-'sentiment scoring'
-
-### Language
-
-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 sentiment label.
-
-An example:
-
-```
-{
-"Sent_id": "dev_0",
-"Sent": "Nos, a Jason elment Manhattanbe és a Pokolba kapcsán, azt hiszem, az elkerülhetetlen folytatások ötletlistájáról kihúzhatunk egy űrállomást 2455-ben (hé, ne lődd   le a poént).",
-"Label": "neutral"
- }
-
-```
-
-### Data Fields
-
-- Sent_id: unique id of the instances;
-
-- Sent: the sentence, translation of an instance of the SST dataset;
-
-- Label: "negative", "neutral", or "positive".
-
-### Data Splits
-
-HuSST has 3 splits: *train*, *validation* and *test*. 
-
-| Dataset split | Number of instances in the split |
-|---------------|----------------------------------|
-| train         | 9344                              |
-| validation    | 1168                              |
-| test          | 1168                              |
-
-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). 
-
-## Dataset Creation
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-The data is a translation of the content of the SST dataset (only the whole sentences were used). Each sentence was translated by a human translator. Each translation was manually checked and further refined by another annotator. 
-
-### Annotations
-
-#### Annotation process
-
-The translated sentences were annotated by three human annotators with one of the following labels: negative, neutral and positive. Each sentence was then curated by a fourth annotator (the 'curator'). The final label is the decision of the curator based on the three labels of the annotators.
-
-#### Who are the annotators?
-
-The translators were native Hungarian speakers with English proficiency. The annotators were university students with some linguistic background. 
-
-## Additional Information
-
-### Licensing Information
-
-
-### 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. pp. 431–446.
-
-```
-
-@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},
-  pages = {431--446}
-}
-
-```
-
-and to:
-
-Socher et al. (2013), Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. 1631--1642.
-
-```
-
-@inproceedings{socher-etal-2013-recursive,
-    title = "Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank",
-    author = "Socher, Richard  and
-      Perelygin, Alex  and
-      Wu, Jean  and
-      Chuang, Jason  and
-      Manning, Christopher D.  and
-      Ng, Andrew  and
-      Potts, Christopher",
-    booktitle = "Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing",
-    month = oct,
-    year = "2013",
-    address = "Seattle, Washington, USA",
-    publisher = "Association for Computational Linguistics",
-    url = "https://www.aclweb.org/anthology/D13-1170",
-    pages = "1631--1642",
-}
-
-```
-
-### Contributions
-
-Thanks to [lnnoemi](https://github.com/lnnoemi) for adding this dataset.

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