ArxivCap: Image and Caption Pairs from arXiv Scientific Papers

ArxivCap is a dataset of image and caption pairs sourced from arXiv scientific papers, created by MMInstruction. The dataset was last updated on October 3, 2024. The description suggests it contains structured metadata, including paper categories and citation counts.

Use Cases

• Train image captioning models based on scientific figures from arXiv papers.
• Develop multimodal retrieval systems for academic literature based on the described image-text pairs.
• Analyze the relationship between paper categories and visual content based on the 'categories' metadata.
• Benchmark models for understanding complex scientific diagrams and their textual descriptions.

Strengths

• Includes structured metadata from multiple sources, such as arXiv categories and citation counts.
• Dataset was updated on October 3, 2024, indicating recent maintenance.

Limitations

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

Provenance

Source

arXiv scientific papers.

Collection Method

Likely gathered by extracting figures and captions from arXiv source files.

Time Range

null

Freshness

Last updated 2024-10-03 03:17:00; freshness should be verified.

Geography

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