YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Dataset Card for Ask the Library (Ptejte se knihovny)

Ask the Library contains questions and answers scraped from the webpage: https://www.ptejteseknihovny.cz/.

Dataset Details

Dataset Description

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

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

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

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

Source Data

The source is https://www.ptejteseknihovny.cz/.

Data Collection and Processing

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

Who are the source data producers?

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

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

Recommendations

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

Citation

@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}
}

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Collection including ctu-aic/ask_library_cs

LLM Adaptation to Czech Language

Collection

This collection accompanies the master's thesis on Compute-constrained LLM adaptation to Czech language. https://dspace.cvut.cz/handle/10467/123587. • 12 items • Updated Jun 15, 2025