pipeline/mmocr/docs/en/user_guides/data_prepare/kie.md

Key Information Extraction

This page is a manual preparation guide for datasets not yet supported by [Dataset Preparer](./dataset_preparer.md), which all these scripts will be eventually migrated into.

Overview

The structure of the key information extraction dataset directory is organized as follows.

└── wildreceipt
  ├── class_list.txt
  ├── dict.txt
  ├── image_files
  ├── openset_train.txt
  ├── openset_test.txt
  ├── test.txt
  └── train.txt

Preparation Steps

WildReceipt

• Just download and extract wildreceipt.tar.

WildReceiptOpenset

• Step0: have WildReceipt prepared.
• Step1: Convert annotation files to OpenSet format:

# You may find more available arguments by running
# python tools/data/kie/closeset_to_openset.py -h
python tools/data/kie/closeset_to_openset.py data/wildreceipt/train.txt data/wildreceipt/openset_train.txt
python tools/data/kie/closeset_to_openset.py data/wildreceipt/test.txt data/wildreceipt/openset_test.txt

You can learn more about the key differences between CloseSet and OpenSet annotations in our [tutorial](../tutorials/kie_closeset_openset.md).