SROIE Document Understanding: Enriched Receipt OCR and Layout Dataset

An enriched version of the SROIE 2019 dataset adds labels for line descriptions and line totals to aid OCR and layout understanding. The training split contains 652 samples, each pairing an image with OCR text data. Arvindrajan92 published this multimodal dataset on HuggingFace in October 2022.

Use Cases

• Train OCR models to extract text from receipt images based on the provided image-OCR pairs.
• Develop layout understanding algorithms using the enriched line description and total labels.
• Benchmark multimodal models for structured document information extraction.

Strengths

• Training set contains 652 annotated samples.
• Enriched version of the established SROIE 2019 benchmark dataset with additional labels.

Limitations

• Dataset size is limited to 652 rows for training; validation and test splits are not described.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last updated 2022-10-30 06:30:53; freshness should be verified.

Provenance

Source

HuggingFace user arvindrajan92.

Collection Method

Enriched version of the SROIE 2019 dataset.

Freshness

Last updated 2022-10-30 06:30:53.