Description. This work aims at comparing three crossmedia adaptations of the same story: George R. R. Martin’s A Song of Ice an Fire original novels, the comics directly adapted from this series, and the Game of Throne TV show. To perform our analysis, we used two representations of these stories: textual vs. graph-based. The textual one corresponds to summaries, whereas the graphs are character networks, representing the interactions between characters. We performed a descriptive analysis of the three adaptations, and tackle a task consisting in automatically aligning the three stories. This dataset contains the input files used by our scripts (various versions of the character networks) as well as the files produced during the processing. The archives starting with `nets_` correspond to the network files used as input during processing. Those starting with `out_` are the files (mainly stats and plots) produced by our scripts. The networks are available in several versions, using the `graphml` format: Folder `cumul`: cumulative networks, i.e. dynamic networks that grow from the beginning to the end of the story. The very last network corresponds to the static network, i.e. the network representing the whole timeline. Folder `instant`: also a dynamic network, but this time each instant is not considered as an increment. Each `graphml` file only focuses on a specific temporal subdivision of the story. The temporal subdivisions depend on the considered medium: Novels: only chapter. Comics: chapter or scene. TV show: episode, block or scene. TV show blocks were defined ad hoc to get a subdivision larger than a scene but smaller than a whole episode. We experimented with two versions: blocs based on the location persistence vs. character similarity. Software. The scripts are publicly available online: https://github.com/CompNet/Sachan References. This work was published in the following article: A. Amalvy, M. Janickyj, S. Mannion, P. MacCarron, and V. Labatut, “Interconnected Kingdoms: Comparing ‘A Song of Ice and Fire ́Crossmedia Adaptations Using Complex Networks,” Social Network Analysis and Mining, vol. 14, p. 199, 2024. DOI: 10.1007/s13278-024-01365-z ⟨hal-04722579⟩ Citation. If you use these scripts, please cite the above article: @Article{Amalvy2024c, author = {Amalvy, Arthur and Janickyj, Madeleine and Mannion, Shane and MacCarron, Pádraig and Labatut, Vincent}, title = {Interconnected Kingdoms: Comparing `A Song of Ice and Fire' Crossmedia Adaptations Using Complex Networks}, journal = {Social Network Analysis and Mining}, year = {2024}, volume = {14}, pages = {199}, doi = {10.1007/s13278-024-01365-z}, }