Guanaco Multimodal VQA Dataset for LLM Alignment

GuanacoDataset is a multimodal visual question answering dataset intended for aligning vision-language models with large language models. The dataset's creator is JosephusCheung, and it was last updated in April 2024, though its current availability on Hugging Face is uncertain.

Use Cases

• Aligning BLIP-2-Flan-T5-XXL vision-language models with Guanaco 7B using VQA instruction pairs.
• Training or fine-tuning models for the GuanacoVQA benchmark using the associated dataset weights.
• Developing multimodal assistants capable of answering questions about image content through the provided VQA data.

Strengths

• Dataset is designed for a specific, advanced task: multimodal VQA alignment with a 7B parameter LLM.
• Associated with a defined model architecture (BLIP-2-Flan-T5-XXL) and benchmark (GuanacoVQA).

Limitations

• Core dataset files are currently unavailable for download from the primary source.
• No public information on dataset size, row count, or specific data features like image counts or question-answer pairs.
• The project description states it is 'still under construction', indicating potential incompleteness.

Provenance

Source

JosephusCheung on Hugging Face.

Collection Method

Method of data gathering is not specified.

Freshness

Last platform update was on 2024-04-15.