Multilingual Image Captions with Expert-Generated Annotations

Multilingual image captions with annotations and language labels created by experts. It supports numerous languages, including Languageadq, Languageaeu, and Languageabc. The specific number of rows, columns, and file formats is not provided.

Use Cases

• Train a multilingual image captioning model using the expert-generated annotations across languages like Languageafr and Languageags.
• Analyze the distribution of language labels such as Languageaka and Languageak to understand dataset composition.
• Fine-tune a cross-lingual model for the Task Idsimage Captioning using the provided multilingual annotations.

Strengths

• Annotations and language labels were generated by experts, not crowdsourced.
• Supports a wide range of languages, including Languageahk, Languageagq, and Languageajz.
• Dataset was last updated on 2022-12-10.

Limitations

• The dataset size, row count, and column structure are unknown, hindering reproducibility.
• The specific source datasets and image content are not described, limiting contextual understanding.

Provenance

Source

sil-ai

Collection Method

Annotations and languages were expert-generated.

Freshness

Last updated 2022-12-10.