EVisRAG-Train: Visual Question Answering Training Data

A Visual Question Answering training dataset compiled from ChartQA, InfographicVQA, and MMLongBench-Doc. The dataset was created by openbmb and last updated on October 14, 2025. It appears to contain image data paired with text, likely for training multimodal models.

Use Cases

• Training visual question answering models based on the described compilation from established VQA benchmarks.
• Fine-tuning large language models for document understanding based on the inclusion of InfographicVQA and MMLongBench-Doc.
• Benchmarking model performance on chart-based reasoning tasks based on the inclusion of ChartQA.

Strengths

• Compiled from three established VQA benchmarks: ChartQA, InfographicVQA, and MMLongBench-Doc.
• Associated with a research paper (arXiv:2510.09733), suggesting a documented purpose.

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

Compiled from ChartQA, InfographicVQA, and MMLongBench-Doc.

Collection Method

Aggregated from existing datasets.

Freshness

Last updated 2025-10-14 00:14:22; freshness should be verified.