**Introduction** Abstract Meaning Representation 2.0 - Machine Translations (LDC2025T10) was developed by researchers at the University of Edinburgh, School of Informatics and the University of Zurich, Department of Computational Linguistics. It consists of Spanish, German, Italian and Chinese Mandarin automatic translations of the source English and professionally-translated Spanish, German, Italian and Chinsese Mandarin sentences in Abstract Meaning Representation 2.0 - Four Translations (LDC2020T07). The translations were collected through Google Translate between May 2018 and March 2024. The source English sentences are a subset (1,371 sentences) of the sentences contained in Abstract Meaning Representation (AMR) Annotation Release 2.0 (LDC2017T10), a semantic treebank of over 39,000 English natural language sentences from broadcast conversations, newswire and web text. The data in this release was designed to analyze various translation metrics and the behavior of automatic machine translation systems over time. **Data** Translations were from each of the five languages (English, Spanish, German, Italian and Chinese Mandarin) to the other four languages (Spanish, German, Italian and Chinese Mandarin) covering 20 language pairs. The dataset contains 1371 source sentences in each langauge, each with a professionally-translated source sentence and multiple dated translations by Google Translate. The English source sentences were drawn from material collected by the Linguistic Data Consortium, specifically, discussion forum text from the DARPA BOLT and DARPA DEFT programs, transcripts and English translations of Mandarin Chinese broadcast news programming, Wall Street Journal text, translated Xinhua news texts, various newswire texts from NIST OpenMT evaluations and weblog data from the DARPA GALE program. All data is encoded in UTF-8 and presented as plain text .csv files.

Creator(s)

Shay Cohen

Guojun Wu

Rico Sennrich

Distributor(s)

Linguistic Data Consortium

Right Holder(s)

Linguistic Data Consortium