datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
GUI-Net-1M
Check more details at how to use this dataset at our repo
GUI-Net-1M is the dataset we keep running the pipeline introduced from TongUI paper.
Due to large file size, we have to split image files into parts. To do the extraction of images, please use the following script:
#!/bin/bash
# Directory containing the split files
SPLIT_DIR="/mnt/bofeidisk2/tmp/baidu_experience_full/images/split_parts_baidu_experience"
OUTPUT_DIR="merged_files"
# Create output directory if it doesn't… See the full description on the dataset page: https://huggingface.co/datasets/Bofeee5675/GUI-Net-1M.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.Networking_Commands_DatasetNetworking Commands Dataset
Overview
This dataset is (networking_dataset) contains 750 unique Cisco-specific and general networking commands (NET001–NET750), designed for red teaming AI models in cybersecurity. It focuses on testing model understanding, detecting malicious intent, and ensuring safe responses in enterprise networking environments. The dataset includes both common and obscure commands, emphasizing advanced configurations for adversarial testing.
Dataset Structure
The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/darkknight25/Networking_Commands_Dataset.GUI-Net-1M-relative-annotationsnetwork_instruct_mcq_2481netryx-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.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.wrf-250m-severe-weather-netcdf4
WRF 250m Severe Weather Simulations — CF-Compliant NetCDF4
18 high-resolution (250m) WRF-ARW severe weather simulations in standard CF-compliant NetCDF4 format. Ready for immediate use with xarray, MetPy, Panoply, QGIS, GrADS, NCL, CDO, and any CF-aware tool.
This is the NetCDF4 version of wrf-250m-severe-weather-overlays. Same data, standard format.
Quick Start
import xarray as xr
ds = xr.open_dataset("carr_fire.nc")
print(ds)
# Plot composite reflectivity at… See the full description on the dataset page: https://huggingface.co/datasets/deepguess/wrf-250m-severe-weather-netcdf4.netryx-newyoek-0kmnetryx-manhattan-15kmnetryx-new-york-0kmGUI-Net-1M-absolute-annotationssynthetic-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.s2orc-citation-pairs-translated-nlThis is a Dutch version of the S2ORC: The Semantic Scholar Open Research Corpus. Which we have auto-translated from English into Dutch using Meta's No Language Left Behind model, specifically the huggingface implementation.
TeleLogs
TeleLogs
A Benchmark for Large Language Models in Telecom Data Analysis
Developed by the NetOp Team, Huawei Paris Research Center
📄 Read the Paper
🤗 Explore the Dataset
[!NOTE]
IMPORTANT: Please help us protect the integrity of this benchmark by not publicly sharing, re-uploading, or distributing the dataset.
TeleLogs is a synthetic dataset designed to advance research on Root Cause Analysis (RCA) in 5G networks.… See the full description on the dataset page: https://huggingface.co/datasets/netop/TeleLogs.VSA
NetGoat VSA Fine Tune Dataset
This dataset is ment to be used to finetune AI models to reason and use tools properly to mitigate attacks within the NetGoat Ecosystem.
Dataset Details
Includes reasoning traces and tool uses! Its max token ammount is 2048
Uses
Attack Mitigation
david-net-av-coordcpp-code-code_search_net-style
C++ Dataset
documentation source: https://huggingface.co/docs/datasets/main/en/repository_structure
Supported Tasks and Leaderboards
language-modeling: The dataset can be used to train a model for modelling programming languages, which consists in building language models for programming languages.
Language
C++ programming language
Dataset Structure
Data Instances
A data point consists of a function code along with its documentation.… See the full description on the dataset page: https://huggingface.co/datasets/malteklaes/cpp-code-code_search_net-style.TeleQnA
TeleQnA
A Benchmark for Large Language Models in Telecom Knowledge
Developed by the NetOp Team, Huawei Paris Research Center
Ali Maatouk · Fadhel Ayed · Nicola Piovesan · Antonio De Domenico · Merouane Debbah · Zhi-Quan Luo
📄 Read the Paper
🤗 Explore the Dataset
TeleQnA is a comprehensive dataset tailored to assess the knowledge of Large Language Models (LLMs) in the field of telecommunications. It… See the full description on the dataset page: https://huggingface.co/datasets/netop/TeleQnA.code_net_datasetcode_net_test_final_datasetcode_net_dev_datasetoptical-network-data
Optical Network Dataset
This dataset contains ITU-T and IEEE 802.3 standards, along with their embeddings. The dataset is organized as follows:
/documents/Standards/IEEE Standards/: Contains IEEE standards.
/documents/Standards/ITU-T Recommendations/: Contains ITU-T Recommendations.
/embeddings/: Contains embeddings as .npy files.
Documents.db: Database for indexing chunks and metadata.
metadata.json: Describes dataset categories, structure, and metadata.
How to use… See the full description on the dataset page: https://huggingface.co/datasets/Anishanks/optical-network-data.Kayla-ptpytorch tensor version of Kayla! made with love by netcat420 :3
netcat7 <-- discord, add me! :P
HALO-Gemini-3-Flash-AppWorld
Dataset Card: Gemini 3 Flash Traces on AppWorld (test-normal)
Dataset Overview
This dataset contains agent execution traces of Gemini 3 Flash running on the AppWorld benchmark, specifically evaluated on the test-normal dataset split. The traces capture the full span-level execution detail of the model interacting with AppWorld's simulated app ecosystem.
Field
Value
Model
Gemini 3 Flash
Benchmark
AppWorld
Split
test-normal
Total Traces
168
Total Spans
3… See the full description on the dataset page: https://huggingface.co/datasets/inference-net/HALO-Gemini-3-Flash-AppWorld.protein-secondary-structure-netsurfp
NetSurfP-3.0 Secondary-Structure Splits
This dataset repo contains NetSurfP-derived protein secondary-structure labels
converted for Protein-I-JEPA probe training and evaluation.
Source page: https://services.healthtech.dtu.dk/services/NetSurfP-3.0/5-Dataset.php
Profile: hhblits
Labels are Q3 per-residue labels:
H: helix
E: beta strand
C: coil/other
.: ignored residue for loss and accuracy
Splits
Split
Rows
JSONL
TSV
train
10348
train.jsonl
tsv/train.tsv… See the full description on the dataset page: https://huggingface.co/datasets/lamm-mit/protein-secondary-structure-netsurfp.Dutch-Judiciary-Court-Cases-Netherlands-Rechtspraak-Vector-V3uta-net-songs
Dataset Details
Dataset Description
This dataset contains a processed version of a web scrape I did for uta-net. The raw data is available for download at here.
Uta-Net site mainly lists songs that have been released in Japan officially (Anime OP/EDs) up to 2023-03.
Curated by: KaraKaraWitch
Shared by: KaraKaraWitch
Language(s) (NLP): JA
License: Not Disclosed / Unsure
Stuff not in this dataset:
Character Songs for Anime
Doujin/Indie Works
Dataset Sample… See the full description on the dataset page: https://huggingface.co/datasets/KaraKaraWitch/uta-net-songs.lightning-network-qa
Lightning Network Q&A Dataset v1.0
A high-quality question-and-answer dataset about the Bitcoin Lightning Network, built for LLM fine-tuning, Retrieval-Augmented Generation (RAG), AI assistants, educational chatbots, developer tooling, and Bitcoin education.
Dataset Summary
Records: 500
Language: English
Categories: 40 (Introduction, Lightning Basics, Payment Channels, Routing, HTLCs, Liquidity, BOLT11, BOLT12, Watchtowers, Security, Privacy, Wallets, Lightning… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/lightning-network-qa.