Multimodal Translation Quality Dataset with Text, Image, and Audio Features

Kaggle hosts a dataset for evaluating English translation quality. It contains multimodal features, including text, image, and audio data. The author, organization, and specific data volume are not provided in the available metadata.

Use Cases

• Training multimodal quality estimation models based on combined text, image, and audio features.
• Benchmarking translation quality metrics against human judgments based on the multimodal data.
• Analyzing the correlation between different feature modalities and perceived translation quality.

Strengths

• Dataset is multimodal, integrating text, image, and audio features for a holistic evaluation approach.

Limitations

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

Provenance

Source

Kaggle