Open Korean Instructions: An Overview
The "Open Korean Instructions" is a repository dedicated to aggregating open Korean instruction datasets for language model training. It also includes a variety of other datasets generated through translations or created using GPT, and contributions in the form of pull requests are welcome for new data.
Dataset Breakdown
The open Korean instructions repository collates multiple datasets, each characterized by unique attributes. Here’s a detailed look at some of the notable datasets:
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KoAlpaca v1.0 & v1.1: These datasets primarily involve the translation of Alpaca instructions, with answers generated by ChatGPT, and contain individual data entries.
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ShareGPT DeepL Translations: This extensive dataset consists of 620K singleton and 84K multi-turn entries. It uses DeepL for translating ShareGPT data to Korean.
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Korquad-Chat: Consists of dialogues based on the context from news and Wikipedia, with entries created by ChatGPT.
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KoChatGPT Practice: A mixed dataset with both single and multi-turn entries. It involves Korean questions answered by ChatGPT.
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Ko-StrategyQA: This dataset specializes in multi-hop question-answering involving Yes/No responses in a Korean context.
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Guanaco Translations: This involves translations done using the DeepL API and includes Korean iterations of datasets like Guanaco.
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Korean Safe Conversation: Developed for ethical and natural chatbot training, this dataset provides safe daily conversation examples.
Other datasets include commercial application data, multi-turn Korean conversations, and even datasets focused on specific areas like mathematics and ethics.
Additional Collections
The repository also highlights collections of translated datasets from English to Korean, several of which involve work by specific contributors, such as Youjunhyeok's translations.
Significance
"Open Korean Instructions" plays a crucial role in the development and fine-tuning of language models, particularly those targeted toward Korean language processing tasks. The datasets provide a comprehensive resource that enables the detailed training and evaluation of machine learning models across various domains including general conversation, ethical AI, and domain-specific tasks like medical advice and educational queries.
The repository serves not only researchers and developers interested in creating Korean language models but also professionals in AI ethically constrained environments and other fields requiring nuanced understanding of Korean instructions and dialogues.