ApolloMoEDataset: Multilingual Medical Question-Answering Data

FreedomIntelligence created a multilingual dataset for medical large language models, covering 12 major and 38 minor languages. The dataset was last updated on October 18, 2024. Its primary purpose is to democratize medical LLMs across a wide range of languages.

Use Cases

• Fine-tuning medical LLMs based on multilingual question-answer pairs
• Benchmarking model performance across 12 major languages
• Developing inclusive AI tools for low-resource languages based on coverage of 38 minor languages

Strengths

• Covers 12 major languages, including English, Chinese, and Spanish
• Includes 38 minor languages for broader inclusivity
• Dataset is actively maintained, with a repository update noted in October 2024

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count, file formats, and license are unknown, which may limit suitability assessment

Provenance

Source

FreedomIntelligence

Collection Method

Likely collected or curated for training medical large language models.

Time Range

Publication timeframe suggests 2024.

Freshness

Last updated 2024-10-18 02:52:33

Geography

Global, based on the inclusion of numerous international languages.