pruning
Qwen-Image-Pruning-GGUFGLM-5.3-Flash-Uncensored-NVFP4-Pruning-62GBmultilingual-pruning_-_pruned-aya-23-8b-wanda-0.5-unstructured-mc4-ar-0-ggufQwen-Image-Edit-Pruning-GGUFOPT-125M_Magnitude_Pruning_10Llama3-8B-Structural-Pruning-1.5-GGUFQwen-Image-Pruning-for-ComfyUIQwen1.5-MoE-A2.7B-Chat-20_experts-L2Norm-Pruning
Datasets
All datasets matching “pruning”vineyard-pruning
Dataset Card for Vineyard Dataset for Pruning
This is a FiftyOne dataset with 536 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/vineyard-pruning")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/vineyard-pruning.vineyard_pruning_segmentation
Vineyard Pruning Detection
A segmentation dataset for determining where to prune vineyards. The dataset contains 536 images with with pixel-level mask annotations across 3 categories: trunk, shoot, and pruned shoot.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{pacioni2025vineyard,
title={Vineyard dataset for automatic pruning based on main parts localization},
author={Pacioni, Elia and… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/vineyard_pruning_segmentation.SFT-for-Pruningfairness-pruning-pairs-en
Fairness Pruning Prompt Pairs — English
Prompt pair dataset for neuronal bias mapping in Large Language Models. Designed to identify which MLP neurons encode demographic bias through differential activation analysis.
This dataset is part of the Fairness Pruning research project, which investigates bias mitigation through activation-guided MLP width pruning in LLMs.
Dataset Summary
Each record contains a pair of prompts that are identical except for a single… See the full description on the dataset page: https://huggingface.co/datasets/oopere/fairness-pruning-pairs-en.fairness-pruning-pairs-es
Fairness Pruning Prompt Pairs — Spanish
Prompt pair dataset for neuronal bias mapping in Large Language Models. Designed to identify which MLP neurons encode demographic bias through differential activation analysis, with a focus on Spanish-language bias patterns.
This dataset is part of the Fairness Pruning research project, which investigates bias mitigation through activation-guided MLP width pruning in LLMs. It is the Spanish companion to the English dataset, enabling… See the full description on the dataset page: https://huggingface.co/datasets/oopere/fairness-pruning-pairs-es.bge-retrieval-data-ivf-pruning-438K