Sroie2019 Sample

A sample dataset from the SROIE 2019 competition, authored by Saripudin. The dataset contains text modality data, but specific row and column counts are unknown.

Use Cases

• Perform named entity recognition on text data to extract key information fields.
• Train a text classification model using the provided modalitytext labels.
• Analyze text structure and layout patterns from the SROIE competition framework.

Strengths

• Dataset is associated with the SROIE 2019 competition, providing a benchmark context.
• Data modality is explicitly defined as text.

Limitations

• The sample size is small, indicated by the 'n1 K' tag suggesting approximately 1,000 records.
• Essential structural details like column names, row count, and file formats are unknown.
• Data recency is limited, with a last update in July 2022.

Provenance

Source

Hugging Face platform.

Freshness

Last updated 2022-07-06.

Geography

Region is tagged as 'us'.