---
dataset_info:
  features:
  - name: title
    dtype: string
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: okres
    dtype: string
  - name: library
    dtype: string
  - name: category
    dtype: string
  - name: used_sources
    dtype: string
  - name: date
    dtype: timestamp[ns]
  - name: url
    dtype: string
  - name: id
    dtype: int64
  - name: language
    dtype: string
  - name: question_diacritics_korektor
    dtype: string
  - name: answer_diacritics_korektor
    dtype: string
  - name: question_spell_korektor
    dtype: string
  - name: answer_spell_korektor
    dtype: string
  - name: diacritics_correct
    dtype: bool
  splits:
  - name: train
    num_bytes: 101223845
    num_examples: 16273
  download_size: 62548526
  dataset_size: 101223845
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-nc-3.0
task_categories:
- text-generation
- question-answering
- text2text-generation
language:
- cs
- en
- sk
pretty_name: Zeptej se knihovny
size_categories:
- 10K<n<100K
---
# Dataset Card for Ask the Library (Ptejte se knihovny)

<!-- Provide a quick summary of the dataset. -->
Ask the Library contains questions and answers scraped from the webpage: https://www.ptejteseknihovny.cz/.

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
Ask the Library contains questions and answers scraped from the webpage: https://www.ptejteseknihovny.cz/. The questions have a broad range of topics like history, language, biology and others.


- **Curated by:** AIC FEE CTU
- **Language(s) (NLP):** Czech
- **License:** CC-BY-NC 3.0

## Uses

<!-- Address questions around how the dataset is intended to be used. -->
This dataset can be used for the process of instruction tuning. Moreover, it can be also utilized for question-answering and other NLP tasks.

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

The dataset contains only one split. It contains following fields:
- title: The title of the question.
- question: The asked question.
- answer: The answer provided by the libraries.
- okres: Okres (NUTS4) where the library is located.
- library: Name of the library that proveded answer.
- category: category of the question.
- used_sources: Sometimes there is provided list of used sources.
- date: Datetime when the question was asked.
- URL: url of the question
- id: id number of the row
- language: language detected with lingua Python library with human fixed outliers

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

The motivation for collecting this dataset was the scarcity of available Czech instruction tuning datasets.

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
The source is https://www.ptejteseknihovny.cz/.

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

The dataset was scraped and the text fields were cleaned using ftfy Python library.

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

The producers of the source data are the employees of several Czech libraries and the users of their page who asked the questions.

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

The dataset contains only question of users that knew about ptejteseknihovny service (probably clients of the libraries).

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users should be made aware of the risks, biases and limitations of the dataset.

## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

TBA