datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
rhizomorphic-networks-data
Rhizomorphic Networks — Data and Analysis Outputs
This dataset contains the experimental image data, segmentation outputs, and
downstream analysis results used for the quantitative analysis of
Armillaria gallica rhizomorphic networks.
The directory structure is organised according to the main stages of the analysis
pipeline:
Rhizomorphic Networks/
│
├── 01_raw inputs/
│ ├── control/
│ ├── furnace/
│ └── nutrient density/
│
├── 02_segmentation outputs/
│ ├── raw… See the full description on the dataset page: https://huggingface.co/datasets/lamm-mit/rhizomorphic-networks-data.network_security_questionsThis dataset contains a single file full of network security questions in Chinese.
Could be used as good initial sources for scrapers, though not good as your browsing history.
network_security_questionsThis dataset contains a single file full of network security questions in Chinese.
Could be used as good initial sources for scrapers, though not good as your browsing history.
synthetic-social-networks
Synthetic Social Networks (Dataset)
Raw experimental outputs from the Synthetic Social Networks study:
59,776 in-character LLM-agent posts from 528 production trials, and
64,562 posts total when the original pipeline-verification runs are
included. The artifact combines an exploratory stage with a separately
frozen, preregistered 448-trial matched-exposure confirmation. Each production
trial includes peer-vote traces from in-character voting by other agents.… See the full description on the dataset page: https://huggingface.co/datasets/ranausmans/synthetic-social-networks.saf_communication_networks_english
Dataset Card for "saf_communication_networks_english"
Dataset Summary
Short Answer Feedback (SAF) dataset is a short answer dataset introduced in Your Answer is Incorrect... Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset (Filighera et al., ACL 2022) as a way to remedy the lack of content-focused feedback datasets. This version of the dataset contains 31 English questions covering a range of college-level communication networks topics -… See the full description on the dataset page: https://huggingface.co/datasets/Short-Answer-Feedback/saf_communication_networks_english.Multi-Agent-Power-Distribution-NetworksThis dataset is for simulating the multi-agent reinforcement learning (MARL) environment for distributed active voltage control problem, a key research area to guarantee the safety of voltage in the future power grid. The GitHub repository for the environment is MAPDN. If you would like to run the MARL environment, you require to first download the dataset held in this dataset storage.
Briefly speaking, the user load data is modified based on the real-time Portuguese electricity consumption… See the full description on the dataset page: https://huggingface.co/datasets/hsvgbkhgbv/Multi-Agent-Power-Distribution-Networks.Social-LLM-NetworksA variety of scenarios in which large language models, connected via a communication network, exchange opinions with one another.
Specifically, we vary:
model types
debate topics
communication networks
system prompts
initial opinion distributions
Each experiment is stored in a separate json file and includes details about variables 1-5, in addition to the exchanged texts and the corresponding sentiment scores.
This dataset supports the paper:
Iris Yazici, Mert Kayaalp, Stefan Taga, Ali H.… See the full description on the dataset page: https://huggingface.co/datasets/asl-epfl/Social-LLM-Networks.Ripple_effects_of_prizewinning_across_knowledge_space_and_collaboration_networksnetwork_securitytransporter_networks_mujocoThis datasets is generated using mujoco_robot_environments. Further instructions on accessing this dataset and generating your own to be included in future.
networksrepro-on-the-theory-of-continual-learning-with-gradient-descent-for-neural-networks-traces
Agent traces
Agent sessions published from a Trackio Logbook.
repro-on-the-theory-of-continual-learning-with-gradient-descent-for-neural-networks-traces
Agent traces
Agent sessions published from a Trackio Logbook.
repro-the-implicit-bias-of-adam-and-muon-on-smooth-homogeneous-neural-networks-traces
Agent traces
Agent sessions published from a Trackio Logbook.
transporter_networks
Dataset
This dataset is used to train a transporter network for real-world pick/place. The dataset is in TFDS format and was collected using moveit2_data_collector.
Download
An example of downloading and loading the dataset is given below, as larger datasets are uploaded this example script will change:
import os
import tarfile
import tensorflow_datasets as tfds
from huggingface_hub import hf_hub_download
DATA_DIR="/home/robot"
FILENAME="data.tar.xz"… See the full description on the dataset page: https://huggingface.co/datasets/peterdavidfagan/transporter_networks.network-security-route-hijack-coherence-risk-v0.1What this repo is for
Detect routing security incidents fast.
Covers:
unexpected origin ASN
invalid ROAs
AS-path anomalies
suspicious more-specific prefixes
observed traffic diversion
whether mitigation happened
This is high-impact because one leak can break many networks.
Equilibrium-Traffic-Networks
Equilibrium-Traffic-Networks
This document describes the datasets generated for and used in the study "A hybrid deep-learning-metaheuristic framework for bi-level network design problems" by Bahman Madadi and Gonçalo H. de Almeida Correia, published in Expert Systems with Applications. The datasets are generated and used to train and evaluate models for solving the User Equilibrium (UE) problem on three transportation networks (Sioux-Falls, Eastern-Massachusetts, and Anaheim) from… See the full description on the dataset page: https://huggingface.co/datasets/bmmm/Equilibrium-Traffic-Networks.repro-on-the-epistemic-uncertainty-of-overparametrized-neural-networks-traces
Agent traces
Agent sessions published from a Trackio Logbook.
computer-networks-notes-20260826-125542repro-rational-neural-networksGo-Networksnetwork_segmentationclique_detection_test_networksThe zip folder contains 128 test networks created for testing clique-community detection in multiplex networks. Each test network is a folder with ten edgelists, all edgelists are sorted by nodes and are simple, undirected and unweighted.
There is also a file 'true_cliques.csv' which contains set of nodes as (clique_id,node) indicating the membership of nodes to particular cliques, a clique is a complete subgraph and cliques are disjoint.
The syntax for the networks looks like… See the full description on the dataset page: https://huggingface.co/datasets/LiquidIce95/clique_detection_test_networks.social_networks_rewritten_tatstructural-disease-networks
Structural Disease Networks — TCGE Benchmark
A curated collection of disease signaling networks analyzed with
the Theory of Emergent Global Constraints (TCGE) framework.
Overview
Networks: 100+ disease signaling networks
Domains: Oncology, Pneumology, Neurology, Immunology
Metrics: Fragility Index (FI), algebraic connectivity (λ₂),
spectral entropy (EPS_z), edge criticality, bridge analysis
Drugs mapped: 50+ approved therapies with structural profiles
Key… See the full description on the dataset page: https://huggingface.co/datasets/cognitive-engineering/structural-disease-networks.road_networksnetwork_sys_admin_test
Dataset Card for network_sys_admin_test
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/DSi178/network_sys_admin_test/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/DSi178/network_sys_admin_test.resilopt-sample-networks
ResilOpt Sample Supply Chain Networks
Synthetic multi-echelon supply chain network instances for the ResilOpt — Resilient Supply Chain Optimizer demo by Aria AI.
Contents
File
Description
network_schema.json
JSON schema for network problem instances
sample_manufacturing.json
Manufacturing industry network (5 products, 12 nodes)
sample_pharma.json
Pharmaceutical supply chain with cold-chain constraints
Network Structure
Suppliers… See the full description on the dataset page: https://huggingface.co/datasets/alirezaaminzadeh/resilopt-sample-networks.Building_External_Networks_Ecosystems_Theory
Building External Networks Ecosystems — Theory
This corpus was automatically generated by the Deku Corpus Builder for use in RAG-based AI applications.
Dataset Structure
Each record contains:
text: The content text
source_url: Original source URL
source_title: Title of the source document
source_domain: Domain of the source
license_type: License classification (e.g. public_domain, cc_by, cc_by_sa)
attribution_required: Boolean — True for CC BY / CC BY-SA and other… See the full description on the dataset page: https://huggingface.co/datasets/PhillyMac/Building_External_Networks_Ecosystems_Theory.Network-Scan