datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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-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.ALIA-es-legal-administrative-pairs
Dataset Introduction
The ALIA Spanish Legal and Administrative Pairs Corpus, derived from the SINAI/ALIA-es-legal-administrative, contains tabular instances designed to train and evaluate retrieval-oriented models (e.g., dense retrievers / embedding encoders) using passage-grounded query data produced with a Qwen3-style prompting workflow integrated in the ALIA encoders pipeline.
It preserves provenance to the original document and chunk while exposing controls such as question type… See the full description on the dataset page: https://huggingface.co/datasets/SINAI/ALIA-es-legal-administrative-pairs.