The AHLA dataset is collected by distributing an advanced designed report with Arabic native speakers. Our dataset contains two kinds of Arabic handwritten : (1) Arabic word-level images that express legal amounts of bank cheques, including the colloquial words used in writing Arabic numbers. (2) Arabic legal amount sentence images. The primary objective of compiling this comprehensive dataset is to furnish a diverse range of Arabic language samples. These samples are intended for training and testing systems capable of autonomously recognizing and comprehending handwritten legal amounts on financial documents. Subsequently, the aim is to convert these semantic expressions into their respective numeric currency totals, facilitating digital processing and banking operations.