This is the supplementary material of the paper "Improving Traceability Link Recovery Using Fine-grained Requirements-to-Code Relations". In this paper, we explore the performance of word embedding-based fine-grained requirements-to-code relations in automated traceability link recovery. The repository includes the code as well as the datasets used. To fully enable the potential of a word embedding based approach, we translated the identifier in two datasets (SMOS and eTour) to match the prevalent language. Attribution (of datasets used): The original SMOS and eAnci datasets can be attributed to Gethers et al., On integrating orthogonal information retrieval methods to improve traceability recovery. In 2011 27th IEEE International Conference on Software Maintenance (ICSM), Sep. 2011. Available: https://doi.org/10.1109/ICSM.2011.6080780 The original eTour dataset was provided for the TEFSE challenge at 6th International Workshop on Traceability in Emerging Forms of Software Engineering (TEFSE), 2011 and was retrieved from http://coest.org/