Form Understanding Dataset with Noisy Scanned Documents

The FUNSD dataset is a collection of noisy scanned documents for form understanding tasks. It was created by JetsonEarth and last updated in July 2022.

Use Cases

• Train a text recognition model to extract information from noisy scanned documents.
• Develop a layout analysis model to identify form fields and their relationships.
• Build a named entity recognition system for structured information extraction from forms.

Strengths

• Dataset is hosted on HuggingFace, a major platform for machine learning resources.
• Dataset is tagged with 'Regionus', suggesting potential geographic focus or origin.
• Dataset is tagged with 'JSON', indicating a structured data format.

Limitations

• The dataset size, number of rows, and specific column structure are unknown.
• The dataset's last update was in July 2022, which may limit its relevance for current models.
• The license and detailed data collection methodology are not provided.

Provenance

Source

HuggingFace, uploaded by author JetsonEarth.

Freshness

Last updated on 2022-07-30.

Geography

Tags suggest a potential focus on the US region.