Datasets:
File size: 4,801 Bytes
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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. -->
```bibtex
@mastersthesis{mlynar2025llmadapt,
author = {Tomáš Mlynář},
title = {Compute-constrained LLM adaptation to Czech language},
school = {Czech Technical University in Prague},
year = {2025},
type = {Master's thesis},
month = {6},
note = {Supervisor: Ing. Herbert Ullrich},
url = {http://hdl.handle.net/10467/123587}
}
``` |