administrative
ALIA-MrBERT-es-legal-administrative-embeddingsALIA-legal-administrative-7B-Instruct-i1-GGUFthanhtunguet_-_vietnamese-administrative-units-model-ggufALIA-legal-administrative-7B-Instruct-GGUFALIA-es-legal-administrative-7B-Instruct-GGUFALIA-MrBERT-es-legal-administrative-rerankerALIA-es-legal-administrative-7B-Instructadapter-administrative-vistral-7b-chat
conseil-administratives-appel-full-documents
Décisions de Justice Administrative Françaises
Description du dataset
Ce dataset contient un corpus de décisions de justice administrative françaises extraites de la plateforme officielle Open Data de la Justice Administrative. Les documents sont publiés par le Conseil d'État dans le cadre de la politique d'ouverture des données publiques de la justice française. Les décisions sont diffusées au format XML et anonymisées conformément aux exigences légales relatives… See the full description on the dataset page: https://huggingface.co/datasets/hulk10/conseil-administratives-appel-full-documents.ALIA-es-legal-administrative-triplets
Dataset Introduction
The dataset ALIA Spanish Legal and Administrative Triplets Corpus contains hard negatives for dense retrieval training
generated from <query, passage> pairs contained in SINAI/ALIA-es-legal-administrative-triplets.The dataset was created as part of the ALIA project to improve the
training of embedding models and dense retrievers specialized in Spanish
legal and administrative language.
Hard negatives are passages that are semantically similar to a query
but not… See the full description on the dataset page: https://huggingface.co/datasets/SINAI/ALIA-es-legal-administrative-triplets.ALIA-es-legal-administrative-cqa
Dataset Introduction
The ALIA Spanish Legal and Administrative for Context Question Answering Corpus is a specialized question-answering resource derived from the SINAI/ALIA-es-legal-administrative corpus. This dataset transforms legal and administrative documents into structured question-answer pairs, enabling the development and evaluation of AI systems capable of understanding and responding to queries about Spanish legal-administrative content. With 17,668 structured instances… See the full description on the dataset page: https://huggingface.co/datasets/SINAI/ALIA-es-legal-administrative-cqa.ALIA-es-legal-administrative
Dataset Introduction
The ALIA Spanish Legal and Administrative Corpus constitutes a strategic data infrastructure to support research in social sciences, legal studies, and computational linguistics, ensuring systematic access to multiple official repositories in a single consolidated dataset. With over 7 million instances and more than 5 billion tokens, it represents the most comprehensive corpus of legal and administrative texts in Spanish, combining source heterogeneity and… See the full description on the dataset page: https://huggingface.co/datasets/SINAI/ALIA-es-legal-administrative.french-administrative-hierarchy-data-quality
French Administrative Hierarchy Data Quality Benchmark
A reproducible benchmark for evaluating the validation, classification, and repair of French administrative geographic records.
The dataset is derived from the INSEE Code officiel géographique (COG) 2026 and focuses on the hierarchical relationship:
Region → Department → Commune
Important: commune_code is an INSEE/COG administrative identifier, not a postal code.This dataset is not intended for postal-address validation or… See the full description on the dataset page: https://huggingface.co/datasets/Jaymerry/french-administrative-hierarchy-data-quality.ALIA-es-legal-administrative-synthetic-instructions
Dataset Introduction
The ALIA Spanish Legal and Administrative Synthetic Instructions Corpus is a synthetic instruction-tuning resource in Spanish created under the ALIA project using the Magpie methodology. It was designed to train and evaluate language models in legal and administrative tasks with controlled formats and large-scale supervision.
It contains:
763,804 instances
534,112,398 tokens
16 task modalities (questions, instructions, multiple-choice, true/false; with and… See the full description on the dataset page: https://huggingface.co/datasets/SINAI/ALIA-es-legal-administrative-synthetic-instructions.