Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
Bulgarian
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
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license: mit
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---
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license: mit
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---
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# Bulgarian Jokes Dataset
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## Overview
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The Bulgarian Jokes Dataset is a collection of Bulgarian-language jokes gathered and prepared for use in training and fine-tuning natural language processing (NLP) models. This dataset is designed to help researchers and developers build models capable of understanding and generating humorous content in Bulgarian.
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## Dataset Structure
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The dataset is structured in a format suitable for NLP training and fine-tuning tasks, such as the Alpaca format. Each data entry contains fields that provide instructions, input, and expected output to facilitate supervised training of language models.
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### Examples
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```json
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{
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"instruction": "хуморески за Уиски",
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"input": "",
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"output": "Времената на сухия режим в САЩ.\r\nЖител на Ню Йорк отишъл в Тексас и попитал един местен жител:\r\n- Как я карате в тия тежки времена?\r\nОня отговорил:\r\n- В законите на нашия щат има една пролука. Имаш право да пиеш алкохол, само ако те ухапе гърмяща змия. Затова, за всеки случай всеки от нас носи в десния си джоб - бутилка уиски.\r\nНюйоркчанинът изтъкнал:\r\n- Но до такъв инцидент - може никога да не се стигне!\r\nТексасецът кимнал:\r\n- Точно така! Затова, всеки от нас носи в левия си джоб - една гърмяща змия!"
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},
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{
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"instruction": "вицове за Знаете ли защо",
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"input": "",
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"output": "Знаете ли защо Нико Тупарев е кръстил новата си фиврма 24/7? Защото накой му е казал, че 24/7 е повече от 7/8 на Слави Трифонов."
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},
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```
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### Features
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Language: Bulgarian
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Categories: 599 categories covering a wide range of themes and topics
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Format: Suitable for training in Alpaca-like supervised formats
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### Usage
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This dataset can be used for various NLP tasks, including:
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- Training and fine-tuning large language models (LLMs) to generate jokes in Bulgarian.
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- Evaluating the performance of language models in humor generation and understanding.
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- Creating NLP applications that require humorous content processing or generation.
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### Sources
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The jokes in this dataset are collected from various sources such as humor websites, user-submitted content, and other public domain materials. Each entry was curated to ensure quality and diversity.
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