MDocAgent: A Multi-Modal Multi-Agent Framework Dataset for Document Understanding

The MDocAgent dataset supports a framework for multi-modal document understanding, as described in the associated arXiv paper. The dataset was created by Lillianwei and last updated on August 22, 2025. It is hosted on Hugging Face and is associated with a GitHub repository containing the framework's code.

Use Cases

• Benchmarking multi-agent frameworks for document understanding based on the described framework.
• Training models for table question answering based on the platform's task category tags.
• Developing multi-modal AI agents that process document structure and content.
• Researching agent collaboration strategies for parsing complex documents.

Strengths

• Dataset is associated with a published arXiv paper (250313964), indicating academic grounding.
• Last update timestamp is recent (2025-08-22 16:58:01).
• Framework code is publicly available on GitHub for reproducibility.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license details are unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific documents used for the framework's development.

Provenance

Source

Hugging Face, created by Lillianwei.

Collection Method

Likely created to support the MDocAgent multi-agent framework research.

Time Range

null

Freshness

Last updated 2025-08-22 16:58:01; freshness should be verified.

Geography

Region tag indicates 'us', but specific geographic coverage is unknown.