ICDAR2017 datasetPostOCR
Text
NLP
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许可协议: Unknown

Overview

The dataset is multilingual (50% French, 50% English, with maybe few expressions borrowed from other languages such as Latin). It consists in texts published in monographs and periodicals during the last four centuries. It accounts more than 12 million characters, and includes both noisy OCR-ed texts and the corresponding Gold-Standard (GS) which has been aligned at the character level.

Data Collection

Following an agreement with the BnF (French National Library) and in accordance with copyrights, we propose for the competition a dataset that is a subpart of the corpus collected in the context of the AmeliOCR project, led by the L3i laboratory (University of La Rochelle, France) and the BnF.
It accounts more than 12 million characters, and includes both noisy OCR-ed texts and the corresponding Gold-Standard (GS) which has been aligned at the character level.
The documents come from different collections (e.g. BnF, British Library) supported by various projects (e.g. Europeana Newspapers, IMPACT, Gutenberg, Perseus, Wikisource and Bank of wisdom).
Error rates, and thus difficulty, vary according to the nature of the documents. In both English and French parts of the dataset, historical newspapers, which have been reported to be especially challenging, represent more than 25% of the data.

数据概要
数据格式
Image,
数据量
--
文件大小
23.37MB
发布方
La Rochelle Université
La Rochelle Université, committed to its mission of public service, is defined by its ability to insert its graduates Its proximity to its research teams and the world of business characterizes its excellence.
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