Lexical Semantic Change Detection (LSCD) is the task of determining whether a word has undergone a change in meaning over time. There has been a marked increase in interest in this task, accompanied by a corresponding growth in the scientific community involved in developing computational approaches to semantic change. In recent years, a number of resources have been made available for the evaluation of LSC models in a number of languages, including English, Swedish, German, Latin, Russian and Chinese. DIACR-ITA is the only existing resource for LSCD in Italian. However, DIACR-ITA has a different format from that used for other languages. In this paper we present DWUGs-IT, which extends the DIACR-ITA dataset with additional target words and usage-sense pair annotations and adapts it to the DURel format, including the first implementation of a LSCD graded task for Italian.