1 to 10 of 12 Results
Dec 1, 2025 - Computational Archival History
Berganzo-Besga, Iban; Coll Ardanuy, Mariona, 2025, "AMSMB HTR model for Medieval Notarial Manuscripts", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/AQRKOH, BSC Dataverse, V2
AMSMB HTR is a model trained using Kraken. The model uses the Tridis v1 model as base and is fine-tuned on the AMSMB HTR dataset (model named ft:v1 on the paper). Details on how the model was trained are reported in our GitLab repository and in our paper (see citation information below). |
Nov 3, 2025 - A Decade of DerStandard Forum Interactions
Fraxanet Morales, Emma; Gómez, Vicenç; Kaltenbrunner, Andreas; Pellert, Max, 2025, "(Data Records) A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/P32CXW, BSC Dataverse, V2, UNF:6:MmzkAl6KMTPYXLdJYALuKw== [fileUNF]
This dataset contains the full set of data records described in the "A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags" publication. It includes the data records for User-level metadata, Comment-level data, Voting behavior, Article metadata, and Pre-computed text embeddings. Additionally, it includes: Annot... |
Oct 30, 2025 - COMPASS - COMplex Political And Social Simulations
DE LA FUENTE CUESTA, ALEJANDRO; Alberto Martínez Serra; Nienke Visscher; Cardenal, Ana S., 2025, "Replication Data for: Beyond the Link: Assessing LLMs’ Ability to Classify Political Content Across Global Media", https://doi.org/10.82201/8UPPY6, BSC Dataverse, V2, UNF:6:j4VEdzl/g0wp+AX0/Pik1w== [fileUNF]
This dataset and replication package accompany the paper: “Beyond the Link: Assessing LLMs’ Ability to Classify Political Content Across Global Media.” by Alejandro De La Fuente-Cuesta, Alberto Martínez-Serra, R. Nienke Visscher, and Ana S. Cardenal (2025). The materials include the data and code necessary to reproduce all analyses presented in the... |
Oct 22, 2025
We develop agent-based social simulations to understand how complex systems of political communication evolve at scale, revealing patterns of opinion dynamics, polarization and collective behavior. At the individual level, we use methods from natural language processing in AI psychometrics to study value systems and other psychological traits that... |
Oct 17, 2025 - Computational Archaeology
Berganzo-Besga, Iban, 2025, "Machine learning models for 3D complex shape analysis and classification on the NEBD+ dataset", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/J0HVTR, BSC Dataverse, V1, UNF:6:GSgdAZ4nevEX2NwRGqdJfQ== [fileUNF]
This dataset presents diverse models trained using machine learning (ML) like traditional architectures for geometric morphometrics (GMM) such as scikit-learn GBM, KNN, LDA, RF and SVM, more advance ones like XGBoost GBM, and deep learning architectures such as MLP, TabPFN and MeshCNN. The models were trained on the NEBD+ dataset. |
Oct 17, 2025 - Computational Archaeology
Berganzo-Besga, Iban; Livarda, Alexandra; Aliende Garcia, Paloma; Wallace, Michael; Orengo, Hector A., 2025, "NEBD+: Enhanced Northern European Barley Dataset for 3D complex shape analysis and classification.", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/ETUHIO, BSC Dataverse, V1, UNF:6:tg5jUfTY6pD8q18Yc/9EDA== [fileUNF]
This datasheet describes a new dataset for the tasks of 3D complex shape analysis and classification. The dataset consists of 697 barley grains, grouped into the following categories: six-row Bere (Bere-R6), six-row Scandinavian (Scand-R6), two-row non-Scottish British (Brit-R2), and two-row (non-Bere) Scottish (Scot-R2), all of Orkney and Western... |
Aug 27, 2025
Advance archaeological research through AI, HPC, remote sensing, and geospatial analysis. Automate the detection, mapping, and protection of archaeological sites and features, towards the reconstruction of ancient societies by examining aspects such as urban development, economic networks, human mobility, and ancient agricultural practices. |
Jul 10, 2025 - Proyecto CREARTE
Crosas, Mercè; Cruells López, Marta; Terrado, Marta; Llort, Joan; Martínez, Susana Eva, 2025, "Documentación, investigación y creación Proyecto CREARTE", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/AE2PUZ, BSC Dataverse, V1
The main objective of the CREARTE project has been to develop a science theatre production focused on climate science. The project is notable for its integration of innovative methodologies that merge scientific research, artistic creation, and interdisciplinary collaboration, resulting in a distinctive synthesis of art and science. The documentati... |
Jul 2, 2025
(English) The main objective of the CREARTE project has been to develop a science theatre production focused on climate science. The project is notable for its integration of innovative methodologies that merge scientific research, artistic creation, and interdisciplinary collaboration, resulting in a distinctive synthesis of art and science. (Span... |
Jun 26, 2025 - Computational Archival History
Coll Ardanuy, Mariona; Cuadrada, Coral; Sarobe, Ramon, 2025, "A Dataset for Handwritten Text Recognition in Medieval Notarial Charters Written on Parchment", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/0VB0MC, BSC Dataverse, V1, UNF:6:U0b+M2+5lwgcyjBeeZQ5nQ== [fileUNF]
We present a new dataset for the task of handwritten text recognition on medieval manuscripts, focusing on notarial charters written on parchment dating from the 13th to 15th centuries. Our dataset is comprised of 100 digitized manuscripts (3,369 lines), which have been carefully selected to represent the large variation that is present in the sour... |
