---
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-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-instances)
  - [Data Splits](#data-instances)
- [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)

## Dataset Description

- **Homepage:** [NLP KEMT TUKE](https://nlp.kemt.fei.tuke.sk)
- **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](https://huggingface.co/datasets/TUKE-DeutscheTelekom/skquad) 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**
```json
{"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**
```json
{"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)."}
```

**semantic_search_results.jsonl**
```json
{
  "id": "1000005",
  "question": "Akú nadmorskú výšku má vrch Kremenec ?",
  "results": [
    {
      "id": 146848,
      "context": "Vrchol Vrchol Kremenca je zalesnený a neposkytuje výhľady, prechádzajú cez neho iba hraničné prieseky. Výhľady ponúka jeho okolie, vrchy v jeho blízkosti, ako Kamenná lúka () vzdialená približne 25 minút pešej chôdze a významný poľský vrch Wielka Rawka () vzdialený približne 45 minút pešej chôdze.",
      "title": "Kremenec (vrch v Bukovských vrchoch)",
      "url": "https://sk.wikipedia.org/wiki/Kremenec_(vrch_v_Bukovských_vrchoch)",
      "score": 0.8585323095321655,
      "probability_search": 0.072
    },
    {
      "id": 146844,
      "context": "Najvyšší bod Samotný vrchol Kremenca – najvyšší bod s nadmorskou výškou sa už nachádza mimo územia Slovenska, cca 150 metrov východnejšie od našej hranice, na poľsko-ukrajinskej štátnej hranici. Najvyšší bod na území Slovenska má nadmorskú výšku , tu sa nachádza žulový hraničný stĺp označujúci trojmedzie.",
      "title": "Kremenec (vrch v Bukovských vrchoch)",
      "url": "https://sk.wikipedia.org/wiki/Kremenec_(vrch_v_Bukovských_vrchoch)",
      "score": 0.8208335041999817,
      "probability_search": 0.07
    }
  ]
}
```

### Data Fields

**answering.jsonl**
- 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.

**indexing.jsonl**
- 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.
**semantic_search_results.jsonl**
- id: A unique identifier for each data instance.
- question: The question in Slovak language from SK-QuAD.
- results A list of searched results
  - id: A unique identifier for each answer.
  - context: The context of the answer.
  - title: The title of the article.
  - url: The URL of the article.
  - score: The score of the search result.
  - probability_search: The probability score 0-1 of the search result.


### 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](https://huggingface.co/datasets/TUKE-DeutscheTelekom/skquad) 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](https://huggingface.co/datasets/TUKE-DeutscheTelekom/skquad). 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](https://kemt.fei.tuke.sk)) on Faculty of Electrical Engineering and Informatics ([FEI TUKE](https://www.fei.tuke.sk/en)) of the Technical University of Košice ([TUKE](https://www.tuke.sk/wps/portal/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](https://huggingface.co/datasets/TUKE-DeutscheTelekom/skquad) 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 Košice

### Personal and Sensitive Information

**Michal Stromko**

I am a student at the Faculty of Electrical Engineering and Informatics (FEI) on Technical University of Košice (TUKE), I dedicate my research efforts to the field of Natural Language Processing (NLP), primarily focusing on Slovak and English languages. Additionally, I specialize in developing search engines that operate with semantic or hybrid search. Furthermore, my focus extends to effectively processing languages for search and utilizing them in conjunction with large language models.

## Considerations for Using the Data

### Social Impact of Dataset

This dataset will contribute significantly to enhancing Slovakian search engines by providing valuable insights and data for evaluation purposes. It has the potential to improve the efficiency and relevance of search results in Slovak or multilanguage texts.


## Additional Information

### Dataset Curators

Technical Univesity of Košice

### Licensing Information

license: cc-by-nc-sa-4.0


### Citation Information

[Needs More Information]