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| license: cc |
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| # IfGPT Dataset |
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| ## Objective of the project |
| The project aims to develop a freely accessible infrastructure for the selection and pre-processing of large datasets for Bulgarian as well as tailored data for particular industries and fine-tuning suitable freely available large language models for specific purposes. |
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| ## IfGPT Dataset |
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| IfGPT Dataset is a large language dataset containing some already available corpora and datasets for Bulgarian, as well as methods for its continuous expansion with non-duplicated, clean Bulgarian data. The samples in the dataset are annotated with metadata that enable effective extraction of domain- and application-oriented datasets. The extended metadata of the IfGPT Dataset is managed through a graph-based database. |
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| The aim of the **IfGPT Dataset** is to avoid the redundant compilation of datasets by different users and the multiple efforts for cleaning the data and to facilitate the reuse of the data for solving different application tasks. The main contribution of our work can be summarised as follows: |
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| (a) Merging several relatively large text collections for Bulgarian into one dataset with standardised metadata description and document formats. |
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| (b) Adding new texts to the dataset in a standardised way. |
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| (c) Deploying and customising a set of tools in a chain for text cleaning, deduplication, detection of sensitive and biassed information to ensure the quality of the data. |
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| (d) Providing a uniform metadata description for all documents in the datasets and organising the metadata categories in a graph representation, originally proposed for the Bulgarian National Corpus \citep{koeva-etal-2012} and extended to the present \textbf{IfGPT} dataset. |
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| (e) Providing means to efficiently query metadata to find suitable text documents for a given LLM fine-tuning or Retrieval Augmented Generation (RAG) task. |
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| This work is part of the project **Infrastructure for Fine-tuning Pre-trained Large Language Models**, Grant Agreement No. ПВУ – 55 from 12.12.2024 /BG-RRP-2.017-0030-C01/. |
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| https://ifgpt.dcl.bas.bg/en/ |
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