datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
llm-network-study-data
LLM-Network-Study-Data
Per-request network captures (.pcapng) collected by the
LLM-Network-Study benchmark harness (benchmark.py and the
per-workload test scripts). Each directory holds one capture file per request,
named request_<id>_run<n>_<timestamp>.pcapng.
A directory name encodes four dimensions:
<capture-env>_<provider/model>_<workload>[_<dataset/variant>]_results
Dimension legend
Dimension
Values
Meaning
Capture env
ethernet
Wired connection to… See the full description on the dataset page: https://huggingface.co/datasets/wayslab/llm-network-study-data.NetEaseCrowd
🧑🤝🧑 NetEaseCrowd: A Dataset for Long-term and Online Crowdsourcing Truth Inference
View it in GitHub
Introduction
We introduce NetEaseCrowd, a large-scale crowdsourcing annotation dataset based on
a mature Chinese data crowdsourcing platform of NetEase Inc..
NetEaseCrowd dataset contains about 2,400 workers, 1,000,000 tasks, and 6,000,000 annotations between them,
where the annotations are collected in about 6 months.
In this dataset, we provide ground truths for… See the full description on the dataset page: https://huggingface.co/datasets/liuhyuu/NetEaseCrowd.bitcoin-network-propagation
Bitcoin network propagation
Timestamped block and transaction announcements received from connected Bitcoin peers, with peer metadata and advertised relay-fee floors. These observations support analysis of announcement timing and differences between connected peers.
Contents
Table
Record
bitcoin_block_announcements
A peer's announcement of a block, timestamped on receipt
bitcoin_transaction_announcements
A retained transaction announcement from a peer… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/bitcoin-network-propagation.bitcoin-cash-network-propagation
Bitcoin Cash network propagation
Timestamped block and transaction announcements received from connected Bitcoin Cash peers, with peer metadata and advertised relay-fee floors. These observations support analysis of announcement timing and differences between connected peers.
Contents
Table
Record
bitcoin_cash_block_announcements
A peer's announcement of a block, timestamped on receipt
bitcoin_cash_transaction_announcements
A retained transaction… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/bitcoin-cash-network-propagation.dogecoin-network-propagation
Dogecoin network propagation
Timestamped block and transaction announcements received from connected Dogecoin peers, with peer metadata and advertised relay-fee floors. These observations support analysis of announcement timing and differences between connected peers.
Contents
Table
Record
dogecoin_block_announcements
A peer's announcement of a block, timestamped on receipt
dogecoin_transaction_announcements
A retained transaction announcement from a… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/dogecoin-network-propagation.litecoin-network-propagation
Litecoin network propagation
Timestamped block and transaction announcements received from connected Litecoin peers, with peer metadata and advertised relay-fee floors. These observations support analysis of announcement timing and differences between connected peers.
Contents
Table
Record
litecoin_block_announcements
A peer's announcement of a block, timestamped on receipt
litecoin_transaction_announcements
A retained transaction announcement from a… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/litecoin-network-propagation.NetConfEval
NetConfEval: Can LLMs Facilitate Network Configuration?
What is it?
We present a set of benchmarks (NetConfEval) to examine the effectiveness of different models in facilitating and automating network configuration described in our paper "NetConfEval: Can LLMs Facilitate Network Configuration?".
📜 Paper - GitHub Repository
This repository contains pre-generated datasets for each of the benchmark task, so that they can be used independently from our testing environment.… See the full description on the dataset page: https://huggingface.co/datasets/NetConfEval/NetConfEval.network_paperPRCA-Net-dataset
Ray-Traced Cross-Frequency Radio Map Dataset
A large ray-traced radio-map (path-loss) dataset for zero-shot
cross-frequency generalization research, generated with
Sionna RT over real urban geometry from
OpenStreetMap.
150 urban scenes across 15 cities, 256×256 rasters
8 transmitters per scene across three deployment strata (street,
rooftop, mast)
6 carrier frequencies: 1.8, 3.5, 7, 28 GHz (training) + 10, 60 GHz
(held out, for interpolation / extrapolation studies)
7,200… See the full description on the dataset page: https://huggingface.co/datasets/SHussain37/PRCA-Net-dataset.global-meteor-network
Global Meteor Network Trajectory Data
Credit: NASA/ESA
Part of a dataset collection on Hugging Face.
Dataset description
Individual meteor trajectory solutions from the Global Meteor Network (GMN), a worldwide network of 500+ all-sky cameras operated by volunteer astronomers. Each row is one detected meteor with orbital elements derived from multi-station triangulation.
The GMN was founded in 2018 and has grown to cover all longitudes from Europe, the… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/global-meteor-network.netryx-new-york-5km
New York 5km
Pre-computed MegaLoc index for Netryx Drishti geolocation.
Coverage
Center: 40.712800, -74.006000
Radius: 5.0 km
Panoramas: 196,824
Index entries: 787,296
Descriptor model: MegaLoc
Descriptor dim: 1024 (PCA from 8448)
Usage
from netryx_hub import NetryxHub
hub = NetryxHub()
hub.download("new-york-5km", output_dir="./netryx_data/index")
# Now open Netryx and search!
Or download manually and use Import Index in the Netryx GUI.
Details… See the full description on the dataset page: https://huggingface.co/datasets/samsepiol4/netryx-new-york-5km.AIRBOT_MMK2_place_the_network_cable_and_mouse_box
AIRBOT_MMK2_place_the_network_cable_and_mouse_box
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: discover_robotics_aitbot_mmk2
| Codebase Version: v2.1
End-Effector Type: five_finger_hand
🏠 Scene Types
This dataset covers the following scene types:
home
🤖 Atomic Actions
This dataset includes the following atomic actions:
grasp
pick
place
📊 Dataset… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/AIRBOT_MMK2_place_the_network_cable_and_mouse_box.netryx-new-york-city-13km
Nyc-Core-Usethis 13km
Pre-computed MegaLoc index for Netryx Drishti geolocation.
Coverage
Center: 40.713200, -74.002500
Radius: 13.0 km
Panoramas: 663,084
Index entries: 2,652,336
Descriptor model: MegaLoc
Descriptor dim: 1024 (PCA from 8448)
Usage
from netryx_hub import NetryxHub
hub = NetryxHub()
hub.download("nyc-core-usethis-13km", output_dir="./netryx_data/index")
# Now open Netryx and search!
Or download manually and use Import Index in… See the full description on the dataset page: https://huggingface.co/datasets/samsepiol4/netryx-new-york-city-13km.netryx-delhi-mixvpr-5km
Delhi 5km (MixVPR)
Pre-computed MegaLoc index for Netryx Drishti geolocation.
Coverage
Center: 28.644800, 77.216721
Radius: 5.0 km
Panoramas: 69,838
Index entries: 279,352
Descriptor model: MixVPR
Descriptor dim: 512 (PCA from 512)
Usage
from netryx_hub import NetryxHub
hub = NetryxHub()
hub.download("delhi-5km-(mixvpr)", output_dir="./netryx_data/index")
# Now open Netryx and search!
Or download manually and use Import Index in the Netryx GUI.… See the full description on the dataset page: https://huggingface.co/datasets/samsepiol4/netryx-delhi-mixvpr-5km.netryx-newyoek-0kmnetryx-manhattan-15kmnetryx-new-york-0kmNetwork-Intrusion-Detection-DataTON_IoT_network
TON IoT Network
The TON IoT train test network dataset provided by https://research.unsw.edu.au/projects/toniot-datasets
Dataset Details
The datasets have been called 'ToN_IoT' as they include heterogeneous data sources collected from Telemetry datasets of IoT and IIoT sensors, Operating systems datasets of Windows 7 and 10 as well as Ubuntu 14 and 18 TLS and Network traffic datasets. The datasets were collected from a realistic and large-scale network designed at the… See the full description on the dataset page: https://huggingface.co/datasets/codymlewis/TON_IoT_network.network-intrusion-detection
network-intrusion-detection
Dataset Description
This dataset contains cybersecurity events collected from honeypot infrastructure.
The data has been processed and feature-engineered for machine learning applications in threat detection and security analytics.
Feature Categories
Network Features
Connection flow statistics (bytes, packets, duration)
Protocol-specific metrics
Geographic information
IP reputation data
Behavioral Features… See the full description on the dataset page: https://huggingface.co/datasets/pyToshka/network-intrusion-detection.bridge_network_mlm_hidden_statesmulti-modal-derived-brain-network
PPMI Connectivity Graphs — HF Staging (Derivatives)
This dataset ships ready-to-use functional brain connectivity graphs derived from the PPMI cohort in a BIDS-ish derivatives layout. For each subject and parcellation, we include:
ROI time-series (*_desc-timeseries_parc-<name>.mat)
Pearson correlation connectivity matrix (*_desc-correlation_matrix_parc-<name>.mat)
JSON sidecars with summary fields (nodes, measure, symmetric/weighted flags)
Contents
data/… See the full description on the dataset page: https://huggingface.co/datasets/pakkinlau/multi-modal-derived-brain-network.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.ncbi-dataset-for-genome-network-pretrainingVISEM
Dataset Card for VISEM Dataset
Dataset Details
Dataset Description
The VISEM dataset is a multimodal video dataset designed for the analysis of human spermatozoa. It is one of the few open datasets that combine multiple data sources, including videos, biological analysis data, and participant-related information. The dataset consists of anonymized data from 85 different participants, with a focus on improving research in human reproduction, particularly male… See the full description on the dataset page: https://huggingface.co/datasets/sperm-net/VISEM.gotsf-ds
📶 Beam-Level (5G) Time-Series Dataset
📚 Citation
This dataset is released alongside the following paper:
Fechete, L., et al. “Goal-Oriented Time-Series Forecasting: Foundation Framework Design.” Proceedings of the AAAI Conference on Artificial Intelligence, 2026, Singapore.
If you use this dataset, please cite the above work.
This dataset introduces a novel multivariate time series specifically curated to support research in enabling accurate prediction of KPIs… See the full description on the dataset page: https://huggingface.co/datasets/netop/gotsf-ds.david-net-av-coordCleanCDB
CrediBench Cleaned
CDB Cleaned is the pre-processed version of CrediBench. This text data is curated for pre-training, as such we follow general pre-processing steps recommended before pre-training on text.
Summary
Included Content
domain: Domain name from the website.
wet_record_txt: Text content from the domain's corresponding CommonCrawl WET file.
language: The language of the text content, and the predicted confidence of said language.… See the full description on the dataset page: https://huggingface.co/datasets/credi-net/CleanCDB.ipfs_netherlands_laws_ir
Netherlands legislation IR (CID-keyed sparse GraphRAG)
Research retrieval release of endomorphosis/ipfs_netherlands_laws (revision 659c8fa0db188d5dd9624dff49474065c9cd3f6e) packaged as
country-laws-ir-graphrag/v1 (layout family skillcenter-huggingface-release/v3 / publicus-ir).
Not legal advice. This is a research snapshot. The official gazette /
authentic source of Netherlands prevails over this corpus. Retrieved documents
and graph edges are retrieval evidence only. No legal… See the full description on the dataset page: https://huggingface.co/datasets/justicedao/ipfs_netherlands_laws_ir.dead-web-commoncrawl
Dead-Web Common Crawl — a longitudinal host-reachability panel (2018–2026)
· Hugging Face
· Kaggle
· License: CC BY 4.0
An open dataset labeling the reachability of 172,959,928 registered domains across 80 monthly
Common Crawl archives (CC-MAIN-2018-05 → CC-MAIN-2026-21), built from Common Crawl's robotstxt
subset and calibrated against a live re-probe to separate genuinely-dead domains from those merely
blocking crawlers or dropped from the… See the full description on the dataset page: https://huggingface.co/datasets/crawlora-net/dead-web-commoncrawl.