datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bertopic-conflictos-chile-v26
📖 README Técnico: BERTopic v24 "The Complete Pipeline"
📊 Resumen del Proyecto
Objetivo: Modelamiento de tópicos de conflictos socioambientales en Chile para tesis de Sociología.
Dataset: 3,268 noticias (2018-2025)
K Natural (HDBSCAN): 54 tópicos
Fecha de Generación: 2026-01-15 22:35
📈 Métricas Principales (K-54 Natural)
Métrica
Valor
Interpretación
Topic Diversity
0.6806
Diversidad de palabras entre tópicos (0-1, mayor es mejor)
Silhouette… See the full description on the dataset page: https://huggingface.co/datasets/Linkhero2/bertopic-conflictos-chile-v26.wm_benchmark_test_uploadX2C
Dataset Card for X2C
X2C (Anything to Control) is a dataset featuring nuanced robotic facial expressions for realistic humanoid imitation and facial expression generation. It contains 100,000 images of a robot displaying diverse facial expressions,
each annotated with 30 control values that can be applied to the physical robot to recreate the corresponding expression.
Dataset Details
For more details, please refer to our paper: X2C: A Dataset Featuring… See the full description on the dataset page: https://huggingface.co/datasets/Bertie77/X2C.bertopic-conflictos-chile-v26.3
📖 README Técnico: BERTopic v24 "The Complete Pipeline"
📊 Resumen del Proyecto
Objetivo: Modelamiento de tópicos de conflictos socioambientales en Chile para tesis de Sociología.
Dataset: 3,268 noticias (2018-2025)
K Natural (HDBSCAN): 54 tópicos
Fecha de Generación: 2026-01-16 12:24
📈 Métricas Principales (K-54 Natural)
Métrica
Valor
Interpretación
Topic Diversity
0.6580
Diversidad de palabras entre tópicos (0-1, mayor es mejor)
Silhouette… See the full description on the dataset page: https://huggingface.co/datasets/Linkhero2/bertopic-conflictos-chile-v26.3.bertopic-conflictos-chile-v26.2
📖 README Técnico: BERTopic v24 "The Complete Pipeline"
📊 Resumen del Proyecto
Objetivo: Modelamiento de tópicos de conflictos socioambientales en Chile para tesis de Sociología.
Dataset: 3,268 noticias (2018-2025)
K Natural (HDBSCAN): 54 tópicos
Fecha de Generación: 2026-01-16 02:38
📈 Métricas Principales (K-54 Natural)
Métrica
Valor
Interpretación
Topic Diversity
0.6549
Diversidad de palabras entre tópicos (0-1, mayor es mejor)
Silhouette… See the full description on the dataset page: https://huggingface.co/datasets/Linkhero2/bertopic-conflictos-chile-v26.2.bertopic-conflictos-chile-v26.1
📖 README Técnico: BERTopic v24 "The Complete Pipeline"
📊 Resumen del Proyecto
Objetivo: Modelamiento de tópicos de conflictos socioambientales en Chile para tesis de Sociología.
Dataset: 3,268 noticias (2018-2025)
K Natural (HDBSCAN): 54 tópicos
Fecha de Generación: 2026-01-16 01:24
📈 Métricas Principales (K-54 Natural)
Métrica
Valor
Interpretación
Topic Diversity
0.6689
Diversidad de palabras entre tópicos (0-1, mayor es mejor)
Silhouette… See the full description on the dataset page: https://huggingface.co/datasets/Linkhero2/bertopic-conflictos-chile-v26.1.bertopic-conflictos-chile-v25
📖 README Técnico: BERTopic v24 "The Complete Pipeline"
📊 Resumen del Proyecto
Objetivo: Modelamiento de tópicos de conflictos socioambientales en Chile para tesis de Sociología.
Dataset: 3,268 noticias (2018-2025)
K Natural (HDBSCAN): 50 tópicos
Fecha de Generación: 2026-01-15 16:59
📈 Métricas Principales (K-50 Natural)
Métrica
Valor
Interpretación
Topic Diversity
0.7160
Diversidad de palabras entre tópicos (0-1, mayor es mejor)
Silhouette… See the full description on the dataset page: https://huggingface.co/datasets/Linkhero2/bertopic-conflictos-chile-v25.R3D3
R3D3
Paired images for R3D2: 29,246 training pairs
and 9,091 validation pairs, approximately 74 GB. FRONT camera only, with
blacklisted sequences excluded. Original 1920×1280 JPEGs are preserved unchanged.
Non-commercial use only. R3D3 was made using the Waymo Open Dataset, provided by
Waymo LLC under the Waymo Dataset License Agreement for Non-Commercial Use,
and your access and use of this work are governed by its terms and conditions.
Redistribute only to recipients… See the full description on the dataset page: https://huggingface.co/datasets/bertaveira/R3D3.breastcanc-ultrasound-class
breastcanc-ultrasound-class
Background
Cancer is the second leading cause of death worldwide, according to IHME - Global Burden of Disease, with 10.7 mln casualties in 2019.
Amongst the various types of cancer, a huge role is played by breast cancer, which stands in 4th position among the deadliest tumors, with more than 700.000 deaths during 2019 (IHME - Global Burden of Disease).
Moreover, breast cancer has the highest share of number of cases/100 people worldwide… See the full description on the dataset page: https://huggingface.co/datasets/as-cle-bert/breastcanc-ultrasound-class.dados_sinteticos_metodologia_bert_20_pct_combinadobreastcancer-auto-segmentation
breastcanc-ultrasound-class
Background
Cancer is the second leading cause of death worldwide, according to IHME - Global Burden of Disease, with 10.7 mln casualties in 2019.
Amongst the various types of cancer, a huge role is played by breast cancer, which stands in 4th position among the deadliest tumors, with more than 700.000 deaths during 2019 (IHME - Global Burden of Disease).
Moreover, breast cancer has the highest share of number of cases/100 people worldwide… See the full description on the dataset page: https://huggingface.co/datasets/as-cle-bert/breastcancer-auto-segmentation.breastcancer-auto-objdetect
breastcanc-ultrasound-class
Background
Cancer is the second leading cause of death worldwide, according to IHME - Global Burden of Disease, with 10.7 mln casualties in 2019.
Amongst the various types of cancer, a huge role is played by breast cancer, which stands in 4th position among the deadliest tumors, with more than 700.000 deaths during 2019 (IHME - Global Burden of Disease).
Moreover, breast cancer has the highest share of number of cases/100 people worldwide… See the full description on the dataset page: https://huggingface.co/datasets/as-cle-bert/breastcancer-auto-objdetect.banana-disease-classificationBanana Disease Recognition Dataset
Introduction:
The Banana Disease Recognition Dataset is a collection of images aimed at facilitating research and development in the field of banana disease detection and classification. This dataset contains a total of 777 images, with 700 images designated for training and 77 images for testing. The dataset encompasses six classes of banana diseases and one class for healthy banana leaves. Each class consists of 100 training images and 11 testing images… See the full description on the dataset page: https://huggingface.co/datasets/as-cle-bert/banana-disease-classification.dados_sinteticos_metodologia_bert_apenaswikiart-artist-berthe-morisotbreastcancer-semantic-segmentationdt-images-zipfixed_bin_fixed_tote_shirt_cassidy_bertha_yondu_10142025kanjidic2vgHello
fill1kkanjidic2vg-longSintetico_BERT_NSintetico_BERT_V
