InCroMin 1.0: Corpus of Cross-lingual Dialogues with Minutes and Detection of Misunderstandings

This data package contains published parts of InCroMin, a corpus of cross-lingual dialogues with minutes and detection of misunderstandings. InCroMin is described in a paper **Corpus of Cross-lingual Dialogues with Minutes and Detection of Misunderstandings,** by Marko Čechovič, Natália Komorníková, Dominik Macháček, and Ondřej Bojar. To be published in TSD 2025. The data were created by volunteering participants, by 2-5 people in each meeting. They were matched in a way that there are at least two groups of people who did not understand each other's language. Their meeting was facilitated by simultaneous speech translation tool integrated in Minuteman. The meetings were held via a teleconferencing platform that recorded each speaker in a separate audio track. The participants gave consent with data processing and release. Then, their speech was automatically transcribed in their original language, and automatically translated into English. Then, human annotators manually corrected transcripts and translations, and deidentified audio and texts by removing confidential information such as person names. The annotators also created minutes. InCroMin corpus is a very useful data set intended primarily for evaluating automatic systems that aim to facilitate cross-lingual dialogues in realistic conditions and end-to-end. It can evaluate Automatic Speech Processing, Speech Translation, Simultaneous Speech Translation, Quality Estimation, and Automatic Minuting.