datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
editorai-telemetryGeoEDdA-TopoRel
GeoEDdA-TopoRel
Dataset Description
Authors: Bin Yang, Ludovic Moncla, Fabien Duchateau and Frédérique Laforest in the framework of the ECoDA and GEODE projects.
Data source: ARTFL Encyclopédie Project, University of Chicago
Git repository:
Language: French
License: cc-by-nc-4.0
Dataset Summary
The GeoEDdA-TopoRel dataset is structured in two parts:
JSON files containing 2,750 labeled entries from the Encyclopédie of Diderot and d’Alembert, all… See the full description on the dataset page: https://huggingface.co/datasets/GEODE/GeoEDdA-TopoRel.GeoEDdA-NER
GeoEDdA-NER: A Gold Standard Dataset for Geo-semantic Annotation of Diderot & d’Alembert’s Encyclopédie
Dataset Description
Authors: Ludovic Moncla, Katherine McDonough and Denis Vigier in the framework of the GEODE project.
Data source: ARTFL Encyclopédie Project, University of Chicago
Github repository: https://github.com/GEODE-project/ner-spancat-edda
Language: French
License: cc-by-nc-4.0
Zenodo repository: https://zenodo.org/records/10530177
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/GEODE/GeoEDdA-NER.edda-coordinata
EDDA-Coordinata
EDDA-Coordinata is a gold standard dataset of enriched geographic coordinates extracted from the 18th-century Encyclopédie of Diderot and d'Alembert. The dataset is designed to support the training and evaluation of models for retrieving and normalizing historical geographic coordinates, which are often expressed with varying levels of precision and non-standard notation.
Dataset Description
Authors: Ludovic Moncla, Pierre Nugues, Thierry Joliveau and… See the full description on the dataset page: https://huggingface.co/datasets/GEODE/edda-coordinata.editorai-training-dataGeo-deepseek