datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
indoor-safety-hazard-detection-and-work-zone-monitoring
Indoor Safety Hazard Detection & Work-Zone Monitoring
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled by… See the full description on the dataset page: https://huggingface.co/datasets/physicl/indoor-safety-hazard-detection-and-work-zone-monitoring.bedroom-change-detection-state-monitoring
Bedroom Change Detection & State Monitoring
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled by the sync… See the full description on the dataset page: https://huggingface.co/datasets/physicl/bedroom-change-detection-state-monitoring.CS2CD.Counter-Strike_2_Cheat_Detection
Counter Strike 2 Cheat Detection Dataset
Overview
The CS2CD (Counter-Strike 2 Cheat Detection) dataset is an anonymised dataset comprised of Counter-Strike 2(CS2) gameplay at a variety of skill-levels with cheater annotations. This dataset contains 478 CS2 matches with no cheater present, and 317 matches CS2 matches with at least one cheater present.
Dataset structure
The dataset is partitioned into data with at least one cheater present, and data with no… See the full description on the dataset page: https://huggingface.co/datasets/CS2CD/CS2CD.Counter-Strike_2_Cheat_Detection.indoor-anomaly-detection-path-obstruction-monitoring
Indoor Anomaly Detection & Path Obstruction Monitoring
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled… See the full description on the dataset page: https://huggingface.co/datasets/physicl/indoor-anomaly-detection-path-obstruction-monitoring.llm-bias-detection
LLM Bias Detection Evaluation Traces
Evaluation data accompanying Navigating the digital spectrum: Assessing
political bias, stability, and downstream fairness in Large Language Models
(arXiv:2609.08637).
Licence scope: CC BY 4.0 covers the authors' original documentation,
templates, selection/arrangement and author-generated tables. It does not
relicense source text or annotations. IBM retains CC BY-SA 3.0; hate-corpus
components retain CC BY 4.0, CC0 or MIT as documented in… See the full description on the dataset page: https://huggingface.co/datasets/nishan-chatterjee/llm-bias-detection.upper-level-trough-ridge-detection-data
Detection of Upper-Level Troughs and Ridges Using Deep Learning — Dataset
Application in the Mediterranean
Expert annotations, model-ready ERA5 fields, and the derived climatology accompanying Detection of Upper-Level Troughs and Ridges Using Deep Learning – Application in the Mediterranean by Ofir Ariel, Omer Sela, Hadas Saaroni, and Baruch Ziv.
Project resources
Resource
Link
Paper
EGUsphere preprint
Interactive project page… See the full description on the dataset page: https://huggingface.co/datasets/Omer-Sela/upper-level-trough-ridge-detection-data.code_x_glue_cc_clone_detection_big_clone_bench
Dataset Card for "code_x_glue_cc_clone_detection_big_clone_bench"
Dataset Summary
CodeXGLUE Clone-detection-BigCloneBench dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/Clone-detection-BigCloneBench
Given two codes as the input, the task is to do binary classification (0/1), where 1 stands for semantic equivalence and 0 for others. Models are evaluated by F1 score.
The dataset we use is BigCloneBench and filtered following the paper… See the full description on the dataset page: https://huggingface.co/datasets/google/code_x_glue_cc_clone_detection_big_clone_bench.anomaly_detection_cmsl1t
Trigger Anomaly Detection for New Physics at the Large Hadron Collider
This dataset is a mirror of the Zenodo record: https://doi.org/10.5281/zenodo.21787779
This dataset contains Level-1 Trigger objects from the CMS experiment at the CERN Large
Hadron Collider, assembled for research on unsupervised anomaly detection in the
trigger. The goal of unsupervised anomaly detection in this context is the discovery of
new physics. This data set does not contain new physics. It is meant… See the full description on the dataset page: https://huggingface.co/datasets/CERN/anomaly_detection_cmsl1t.willow-surface-code-detection-events
Willow Surface-Code Detection Events (ingested)
Detection events and logical-observable flips derived from Google's Willow
below-threshold surface-code dataset (Zenodo
10.5281/zenodo.13273331), rotated
surface code at distances 3, 5, 7 in X and Z memory.
Each row is one experimental shot. Detection events are derived from the raw
device measurement records with Stim's measurement-to-detector converter, using
the per-shot sweep bits, and validated to reproduce the dataset's… See the full description on the dataset page: https://huggingface.co/datasets/ShayManor/willow-surface-code-detection-events.government-ai-detection
Government AI Text Detection — Results
Completed AI-detection output from the government-ai
pipeline, which measures the prevalence of AI-generated/edited text across
four kinds of US government media, 2000–2026:
source
what
bills
Congressional bill text (as-introduced versions), from govinfo
speeches
Floor speeches + Extensions of Remarks from the Congressional Record
comments
Public comments on regulations.gov (via the Mirrulations mirror)
documents
The… See the full description on the dataset page: https://huggingface.co/datasets/ksasse/government-ai-detection.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.Sombench-WAC-Crater-Detection
SomBench Benchmark: Robbins Crater Detection, WAC
Science theme: Impact processes
Task: Object detection
Dataset Summary
An impact-crater object-detection benchmark built from the
Robbins (2019) global lunar crater
catalog, a manually compiled, near-complete census of
lunar impact craters (≥ ~1–2 km). Catalog crater centers and diameters are
converted to bounding boxes and packaged over LROC WAC visible tiles drawn
from the pre-training corpus test split, in COCO… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-WAC-Crater-Detection.threat-detection-responses-10k1-fold-clone-detection-600k-5foldCS2CD.Counter-Strike_2_Cheat_Detection
Counter Strike 2 Cheat Detection Dataset
Overview
The CS2CD (Counter-Strike 2 Cheat Detection) dataset is an anonymised dataset comprised of Counter-Strike 2(CS2) gameplay at a variety of skill-levels with cheater annotations. This dataset contains 478 CS2 matches with no cheater present, and 317 matches CS2 matches with at least one cheater present.
Dataset structure
The dataset is partitioned into data with at least one cheater present, and data with no… See the full description on the dataset page: https://huggingface.co/datasets/adhitsamonkar/CS2CD.Counter-Strike_2_Cheat_Detection.exoplanet-transit-detection
Exoplanet Transit Detection Dataset
A multi-mission exoplanet transit dataset combining observations from NASA's
Kepler, K2, and TESS missions. Each row contains a pre-processed
light curve stored as five float32 arrays (one raw, four phase-folded views),
along with stellar metadata, transit parameters, and disposition labels.
The dataset includes a NO_SIGNAL class: stars from the Kepler stellar
catalog that never triggered a Threshold Crossing Event (TCE). These stars
have real… See the full description on the dataset page: https://huggingface.co/datasets/bingbangboom/exoplanet-transit-detection.covcollab-eve-detection
Covert-Collaboration Eve-Detection Dataset
A controlled, balanced, reproducible benchmark for the covert-collaboration warden problem:
decide whether a group of distributed users is secretly pooling messages into a coherent
virtual-MIMO transmission — from the point of view of a passive eavesdropper, Eve.
Each example is one complex received block Y ∈ ℂ^{R×T} (R = 4 Eve antennas, T = 320 samples)
labelled H1 (a collaboration signal is present) or H0 (receiver noise only, same… See the full description on the dataset page: https://huggingface.co/datasets/ashen-navigator/covcollab-eve-detection.bedroom-change-detection-state-monitoring-training-1075921b-d939a6b5
Bedroom Table Lamp Detection — RT-DETR Training
Training dataset to teach a robot to detect and locate table lamps of various kinds in bedrooms. Contains 30 renders (640x640) staged across eight bedroom environments, each framing a table lamp, with albedo and metric depth passes, per-frame annotations (bounding boxes, labels), and morning lighting. Built for object detection with an RT-DETR model.
This dataset mirrors public data-pack render outputs from Physicl.
Each row… See the full description on the dataset page: https://huggingface.co/datasets/physicl-community/bedroom-change-detection-state-monitoring-training-1075921b-d939a6b5.4-fold-clone-detection-600k-5foldnetwork-traffic-detection
Network Traffic Detection Dataset
A curated dataset for network traffic anomaly detection, derived from the BCCC-CSE-CIC-IDS2018 intrusion detection dataset, which itself is an enhanced version of CSE-CIC-IDS2018This dataset is restructured for modern machine learning and deep learning research on network security and intrusion detection.
[!IMPORTANT]The raw dataset (~90GB) was fragmented across 34 .csv files. To optimize for ML workflows, the data was merged and compressed into… See the full description on the dataset page: https://huggingface.co/datasets/init5iv3/network-traffic-detection.home-object-detection-grasping-and-sorting-eval-yolov8-training-4c9a238f-1ff502e5
Small Object Grasping Training Pack
Synthetic training dataset for a robot grasping and pick-and-place of small objects resting on real surfaces (kitchen, entrance, restaurant and art-space settings). Renders at 512x512 with metric depth and per-frame annotations, using each environment's own lighting, for training Contact-GraspNet.
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to… See the full description on the dataset page: https://huggingface.co/datasets/physicl-community/home-object-detection-grasping-and-sorting-eval-yolov8-training-4c9a238f-1ff502e5.Synthetic-Financial-Datasets-For-Fraud-Detectionindoor-laptop-detection-next-pack-e6bd6a07-356e7b31
Indoor Plant Detection for YOLO
Synthetic training dataset of 5 renders (640x640) staged in home and office interiors — libraries and residential lounges — each framing an indoor plant. Includes RGB, albedo and metric depth passes with per-frame bounding-box annotations, for training a YOLO object-detection model to detect indoor plants.
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL… See the full description on the dataset page: https://huggingface.co/datasets/physicl-community/indoor-laptop-detection-next-pack-e6bd6a07-356e7b31.turn-end-detection
Turn-end detection from real ASR prefixes, with audio
100,348 labelled end-of-turn decision points over
53,140 synthesized customer-service utterances, each one paired
with the 16 kHz audio it was cut from, plus the endpointing decisions
6 commercial endpointer configurations
made on the same audio.
The question each row poses is the one a voice agent has to answer continuously:
given everything heard so far, has the caller finished speaking? Ending the
turn too early talks over… See the full description on the dataset page: https://huggingface.co/datasets/mazesmazes/turn-end-detection.cc_fraud_detection_datasetCHR_detection_trees
Motif Segmentation in Paintings
Segmentation masks and metadata for trees detected in a corpus of paintings, produced with SAM3 as part of research in the golden matrix project at the Center for Humanities Computing Aarhus (chcaa).
Dataset Description
This dataset supports a studies of landscape and tree motifs in 19th-century Northern European paintings. It covers 4,727 paintings drawn from museum and Wikidata sources, with tree instances detected using [SAM3]… See the full description on the dataset page: https://huggingface.co/datasets/chcaa/CHR_detection_trees.laion400m-person-detectiondetection_aimThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "BrewieBase",
"total_episodes": 2,
"total_frames": 546,
"total_tasks": 1,
"total_videos": 2,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 20,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/forroot/detection_aim.Cyberbullying-Detection-CB2
Cyberbullying Detection — CB2
Dataset Description
CB2 is a relational, conversation-level cyberbullying detection dataset. Unlike single-post datasets, each instance in CB2 represents a pair of users and their full message exchange. The cyberbullying label is determined at the conversation level (i.e., whether the interaction between two users constitutes cyberbullying), enriched with demographic information, social closeness (peerness), and message-level aggression… See the full description on the dataset page: https://huggingface.co/datasets/surrey-nlp/Cyberbullying-Detection-CB2.Nigerian-Financial-Transactions-and-Fraud-Detection-Dataset
Dataset Card for GLUE
Dataset Summary
GLUE, the General Language Understanding Evaluation benchmark (https://gluebenchmark.com/) is a collection of resources for training, evaluating, and analyzing natural language understanding systems.
Supported Tasks and Leaderboards
The leaderboard for the GLUE benchmark can be found at this address. It comprises the following tasks:
ax
A manually-curated evaluation dataset for fine-grained analysis of system… See the full description on the dataset page: https://huggingface.co/datasets/demola2/Nigerian-Financial-Transactions-and-Fraud-Detection-Dataset.