datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vota-con-la-chola-data
Vota Con La Chola - Snapshots ETL
Dataset de snapshots públicos del proyecto JesusIC/vota-con-la-chola-data.
Repositorio fuente: https://github.com/gsusI/vota-con-la-chola
Contenido por snapshot (capa raw + capa procesada):
snapshots/2026-08-12/published/*: capa raw reproducible (artefactos canónicos JSON/JSON.GZ).
snapshots/2026-08-12/parquet/<tabla>/part-*.parquet: tablas navegables en el visor Data Studio.
snapshots/2026-08-12/sources/<source_id>.json: procedencia legal por… See the full description on the dataset page: https://huggingface.co/datasets/JesusIC/vota-con-la-chola-data.jesus_dramasJesus Dramas is a collection of religious audio dramas across 430 languages. In total, there is around 640 hours of audio.
It can be used for language identification, spoken language modelling, or speech representation learning.
This dataset includes the raw unsegmented audio in a 16kHz single channel format. Each audio drama can have multiple speakers, for both male and female voices.
It can be segmented into utterances with a voice activity detection (VAD) model such as this one.
The… See the full description on the dataset page: https://huggingface.co/datasets/espnet/jesus_dramas.SenikDataset_PersonalityEmotionsJesusSelfAwareSenikUpgradeDatasetpas-f
PaS-F
Food-domain dataset used to train the PaS-F checkpoint from
the Precision at Scale paper (1.2M images).
Paper
Paper (Pattern Recognition, 2026): https://doi.org/10.1016/j.patcog.2025.112236
Official code: https://github.com/jesusmolrdv/Precision-at-Scale
@article{rodriguezdevera2026precision,
title = {Precision at scale: Domain-specific datasets on-demand},
author = {Rodr{\'i}guez-de-Vera, Jes{\'u}s M. and Estepa, Imanol G. and Saras{\'u}a, Ignacio… See the full description on the dataset page: https://huggingface.co/datasets/jesusmolrdv/pas-f.SenikDataset_SelfAwarenessbrfss2015-diabetes-detection
BRFSS 2015 — Detección temprana de riesgo de diabetes
Dataset preprocesado derivado del Behavioral Risk Factor Surveillance System (BRFSS) 2015
del CDC (Centers for Disease Control and Prevention, EE.UU.), utilizado para entrenar
el modelo de detección temprana de riesgo de diabetes del TFM en el Máster en Data
Science de KSchool (2025–2026).
Modelo entrenado con este dataset: lgbm-diabetes-early-detectionDemo interactiva: diabetes-risk-demo — HF SpacesRepositorio: TFM — GitHub… See the full description on the dataset page: https://huggingface.co/datasets/Jesusrodriguezf90/brfss2015-diabetes-detection.pas-fmini
PaS-FMini
Food-domain dataset used to train the PaS-FMini checkpoint from
the Precision at Scale paper (0.6M images).
Paper
Paper (Pattern Recognition, 2026): https://doi.org/10.1016/j.patcog.2025.112236
Official code: https://github.com/jesusmolrdv/Precision-at-Scale
@article{rodriguezdevera2026precision,
title = {Precision at scale: Domain-specific datasets on-demand},
author = {Rodr{\'i}guez-de-Vera, Jes{\'u}s M. and Estepa, Imanol G. and Saras{\'u}a… See the full description on the dataset page: https://huggingface.co/datasets/jesusmolrdv/pas-fmini.pas-b
PaS-B
Birds-domain dataset used to train the PaS-B checkpoint from
the Precision at Scale paper (1.2M images).
Paper
Paper (Pattern Recognition, 2026): https://doi.org/10.1016/j.patcog.2025.112236
Official code: https://github.com/jesusmolrdv/Precision-at-Scale
@article{rodriguezdevera2026precision,
title = {Precision at scale: Domain-specific datasets on-demand},
author = {Rodr{\'i}guez-de-Vera, Jes{\'u}s M. and Estepa, Imanol G. and Saras{\'u}a, Ignacio… See the full description on the dataset page: https://huggingface.co/datasets/jesusmolrdv/pas-b.SeniksDatasetCombinedFineTomechemistry-organometallic-qa
chemistry-organometallic-qa
Dataset de 167 pares pregunta-respuesta en formato conversacional para fine-tuning de LLMs especializados en química organometálica. Construido sobre el paper PMC10967698 como parte del proyecto chem-rag-assistant.
Repositorio: chem-rag-assistantNotebook de construcción: 05_dataset.ipynb
Estructura del dataset
Formato messages compatible con el chat template de Qwen2.5-Instruct y modelos instruction-tuned similares:
{
"messages": [… See the full description on the dataset page: https://huggingface.co/datasets/Jesusrodriguezf90/chemistry-organometallic-qa.COMBINED_CREATOR_FAMILY_DATASET_QWEN_FORMATpas-bmini
PaS-BMini
Birds-domain dataset used to train the PaS-BMini checkpoint from
the Precision at Scale paper (0.4M images).
Paper
Paper (Pattern Recognition, 2026): https://doi.org/10.1016/j.patcog.2025.112236
Official code: https://github.com/jesusmolrdv/Precision-at-Scale
@article{rodriguezdevera2026precision,
title = {Precision at scale: Domain-specific datasets on-demand},
author = {Rodr{\'i}guez-de-Vera, Jes{\'u}s M. and Estepa, Imanol G. and Saras{\'u}a… See the full description on the dataset page: https://huggingface.co/datasets/jesusmolrdv/pas-bmini.pas-i
PaS-I
Insects-domain dataset used to train the PaS-I checkpoint from
the Precision at Scale paper (1.9M images).
Paper
Paper (Pattern Recognition, 2026): https://doi.org/10.1016/j.patcog.2025.112236
Official code: https://github.com/jesusmolrdv/Precision-at-Scale
@article{rodriguezdevera2026precision,
title = {Precision at scale: Domain-specific datasets on-demand},
author = {Rodr{\'i}guez-de-Vera, Jes{\'u}s M. and Estepa, Imanol G. and Saras{\'u}a… See the full description on the dataset page: https://huggingface.co/datasets/jesusmolrdv/pas-i.SenikDataset_CreativeReasoningSenikDataset_SelfReflectionGrowthMEMORYRECALL_DATASET_QWEN_FORMAT_CORRECTEDNIKOLAS_CREATOR_DATASET_QWEN_FORMATSELFAWAREEMOTIONALINTELLIGENCE_DATASET_QWEN_FORMATjesusai2MEMORYRECALL_DATASET_QWEN_FORMATSenikDataset_ProblemSolvingSenikDataset_MemoryRecallSLEEPSIMULATIONDREAMS_DATASET_QWEN_FORMATchem-rag-artifacts
Qwen2.5-1.5B — Fine-tuning QLoRA en Química Organometálica
Adaptadores LoRA de Qwen/Qwen2.5-1.5B-Instruct especializados en química organometálica mediante QLoRA sobre el dataset chemistry-organometallic-qa. Componente del pipeline RAG del proyecto chem-rag-assistant.
Repositorio: chem-rag-assistant
Métricas de evaluación
Evaluación cuantitativa sobre 5 preguntas de ground truth usando similitud coseno BGE-M3 como métrica semántica. Comparación entre tres… See the full description on the dataset page: https://huggingface.co/datasets/Jesusrodriguezf90/chem-rag-artifacts.senik_dataset_hfSenikDataset_EmotionsSimulationSenikDataset_SubSeniksManagementSenikDataset_CreatorRecognitionNikolas