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End of preview. Expand in Data Studio
IfGPT Dataset
Objectives of the project IfGPT
The IfGPT Dataset is developed within the project IfGPT: Infrastructure for Fine-tuning Pre-trained Large Language Models which aims to establish 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.
IfGPT Dataset
IfGPT is a large dataset of Bulgarian which encompasses texts from various sources. The texts are supplied with metadata description allowing for filtering and selection of suitable texts for domain specific and tasks specific training and fine-tuning.
Here we include only cleaned and deduplicated data from the IfGPT Dataset with licenses allowing redistribution.
MARCELL (BG)
| Field | Value |
|---|---|
| Language | Bulgarian |
| Domain | Legal |
| Size | ~25,000 texts / 3.28M sentences / 45M tokens |
| Source | Bulgarian State Gazette |
| Licence | Public Domain |
| Download | Link |
CURLICAT (BG)
| Field | Value |
|---|---|
| Language | Bulgarian |
| Domain | Multi-domain (Culture, Education, EU, Finance, Politics, Economics, Science) |
| Size | ~6,000 texts / 22.8M tokens |
| Source | BulNC, scientific books, PhD theses, web content |
| Licence | CC-BY 4.0, CC-BY-SA 4.0, CC-BY-NC 4.0 |
| Download | Link |
Wikipedia (BG)
| Field | Value |
|---|---|
| Language | Bulgarian |
| Period | Up to December 2025 (dump: 2025-12) |
| Domain | Encyclopedic |
| Source | Bulgarian Wikipedia |
| Licence | CC-BY-SA 4.0 |
| Download | Link |
License
Creative Commons Attribution 4.0 International (CC-BY-4.0)
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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