Vqa Bn: Bengali Visual Question Answering Dataset Translated from VQA v2.0

A Bengali translation of the VQA v2.0 dataset created for research in Visual Question Generation. The dataset contains Bangla questions and answers aligned with images, along with the original English annotator answers. It was published by Tahsin-Mayeesha in 2023 as part of the work "Visual Question Generation in Bengali" presented at MM-NLG.

Use Cases

• Train Bengali visual question answering models based on the translated question-answer pairs.
• Benchmark cross-lingual transfer learning for VQA tasks based on the parallel English-Bangla annotations.
• Develop and evaluate Bengali visual question generation systems based on the dataset's stated purpose.

Strengths

• Based on the established VQA v2.0 dataset, suggesting a structured foundation.
• Provides parallel Bengali-English annotations, enabling cross-lingual analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Translated from the VQA v2.0 dataset.

Collection Method

Created as part of the research "Visual Question Generation in Bengali" (MM-NLG 2023).

Freshness

Last updated 2026-04-24 03:08:56; freshness should be verified.