IfGPT: Bulgarian Language Corpus for Fine-Tuning LLMs

IfGPT is a dataset developed to establish a freely accessible infrastructure for fine-tuning large language models for Bulgarian. The project aims to provide tailored data for specific industries and purposes. It was created by DCL-IBL and was last updated on June 3, 2026.

Use Cases

• Fine-tuning large language models for Bulgarian based on the described text corpus.
• Pre-processing and selecting Bulgarian language data for specific industry applications as mentioned in the project objectives.
• Building infrastructure for Bulgarian NLP tasks based on the project's stated aim of creating a selection and pre-processing framework.

Strengths

• Dataset is explicitly designed for the Bulgarian language, a less-resourced language in NLP.
• Project has a clear objective to create infrastructure for fine-tuning and pre-processing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

DCL-IBL

Collection Method

Likely collected and curated as part of the IfGPT project for Bulgarian language model infrastructure.

Freshness

Last updated 2026-06-03 10:36:29; freshness should be verified.

Geography

Primarily Bulgaria, inferred from focus on the Bulgarian language.