Datasets:
language:
- sk
license: cc-by-nc-sa-4.0
task_categories:
- question-answering
tags:
- NLP
size_categories:
- 1K<n<10K
Dataset Card for sts-skquad-retrieval
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: NLP KEMT TUKE
- Repository: [Needs More Information]
- Paper: [Needs More Information]
- Leaderboard: [Needs More Information]
- Point of Contact: [Needs More Information]
Dataset Summary
SKQuAD-Eval is a unique dataset designed to evaluate Slovak search performance using metrics like MRR, MAP, and NDCG. Derived from the SK-QuAD dataset, it features questions and answers sourced from a search engine before annotation. The annotated data assigns categories to the best answers for each question, enhancing Slovak language search evaluation. This dataset is a significant step forward in the development of Slovak language search evaluation and provides a valuable resource for further research and development in this area.
Supported Tasks and Leaderboards
Document Retrieval Information Retrieval Text Retrieval
Languages
Slovak
Dataset Structure
Data Instances
answering.jsonl
{'id': '1000005',
'question': 'Akú nadmorskú výšku má vrch Kremenec ?',
'is_impossible': False,
'results': [{'answer_id': 598395, 'category': 1},
{'answer_id': 576721, 'category': 4},
{'answer_id': 576721, 'category': 4},
{'answer_id': 574728, 'category': 4},
{'answer_id': 574728, 'category': 4},
{'answer_id': 517004, 'category': 4},
{'answer_id': 517004, 'category': 4},
{'answer_id': 578472, 'category': 3},
{'answer_id': 578472, 'category': 2},
{'answer_id': 271618, 'category': 4},
{'answer_id': 271618, 'category': 3},
{'answer_id': 208360, 'category': 4},
{'answer_id': 208360, 'category': 3},
{'answer_id': 146848, 'category': 4},
{'answer_id': 146848, 'category': 4},
{'answer_id': 146843, 'category': 2},
{'answer_id': 146843, 'category': 4},
{'answer_id': 520490, 'category': 3},
{'answer_id': 520490, 'category': 4},
{'answer_id': 146851, 'category': 4},
{'answer_id': 146851, 'category': 4}]}
indexing.jsonl
{'id': '598395',
'title': 'Vysoký grúň (Laborecká vrchovina)',
'context': 'Cez vrch Vysoký grúň vedie hlavná červená turistická značka, ktorá zároveň vedie po hlavnom karpatskom hrebeni cez najvýchodnejší bod Slovenska – trojmedzie (1207.7 Mnm) na vrchu Kremenec (1221.0 Mnm) a prechádza po slovensko-poľskej štátnej hranici cez viacero vrchov s viacerými panoramatickými vyhliadkami, ako napr. Kamenná lúka (1200.9 Mnm), Jarabá skala (1199.0 Mnm), Ďurkovec (1188.7 Mnm), Pľaša (1162.8 Mnm), ďalej cez Ruské sedlo (801.0 Mnm), vrchy Rypy (1002.7 Mnm), Strop, (1011.2 Mnm), Černiny (929.4 Mnm), Laborecký priesmyk (684.0 Mnm) až k Duklianskemu priesmyku (502.0 Mnm).'}
Data Fields
annotated_dataset
- id: A unique identifier for each data instance.
- question: The question posed in Slovak language.
- is_impossible: Indicates whether the question is impossible to answer.
- results: A list of annotated answers with their corresponding categories.
- answer_id: Unique identifier for each answer.
- category: The category assigned to the answer based on relevance.
articles_dataset
- id: A unique identifier for each article.
- title: The title of the article.
- context: The text content of the article providing information relevant to the questions.
Data Splits
| Split Name | Number of Questions | Total Answers |
|---|---|---|
| Total | 945 | 19845 |
| Correct Answers | Count of Questions |
|---|---|
| 2 | 466 |
| 3 | 250 |
| 4 | 119 |
| 5 | 60 |
| 6 | 20 |
| 7 | 12 |
| 8 | 11 |
| 9 | 4 |
| 14 | 1 |
| 19 | 1 |
| 20 | 1 |
| Total | 945 |
Dataset Creation
Curation Rationale
The curation rationale for this dataset stemmed from the necessity to evaluate search performance in the Slovak language context. By selecting questions from the SK-QuAD dataset and annotating them with relevant answers obtained from a search engine, the dataset aims to provide a standardized benchmark for assessing Slovak language search effectiveness.
Source Data
Initial Data Collection and Normalization
Initial data collection and normalization involved selecting questions from the first manually annotated dataset, SK-QuAD. Only corresponding questions were chosen to ensure relevance and consistency in the dataset. This process useful to maintain the quality of the data for subsequent evaluation.
Who are the source language producers?
The creator is a student from the Department of Electronics and Multimedia Telecommunications (KEMT) on Faculty of Electrical Engineering and Informatics (FEI) of the Technical University of Koaice (TUKE). The dataset was developed as part of the student's master's thesis titled Semantic Search in Slovak Text.
Annotations
Annotation process
The annotation process involved sourcing questions and their corresponding answers from the SK-QuAD dataset. Before annotation, answers to each question were obtained using a semantic search engine. During annotation, the best answers were identified and categorized based on relevance. Each question was assigned multiple correct answers, contributing to the enhancement of the dataset's quality and facilitating more comprehensive evaluation of Slovak language search performance.
Who are the annotators?
Students from Faculty of Electrical Engineering and Informatics Technical University of Kosice
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
Technical Univesity of Košice
Licensing Information
license: cc-by-nc-sa-4.0
[Needs More Information]
Citation Information
[Needs More Information]