datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
p1-segments
DR P1 speech segments
Dataset
Danish speech clips from DR P1, in mono 16 kHz OGG/Opus, with verbatim text, timing, and speaker metadata. Transcript text and speaker attribution may contain automated errors.
Source
The recordings cover roughly 2006–2022 and come from DR P1 recordings in kb.dk’s DR archive. Audio is sourced through the pinned syvai/p1 revision 449b9c2294026df6d0d37538f279fdec03f565ff. Transcripts were generated with ElevenLabs… See the full description on the dataset page: https://huggingface.co/datasets/syvai/p1-segments.lgg-mri-segmentation-research
LGG Brain MRI Segmentation with Genomic Clusters
This repository provides a Patient-Centric version of the Lower-Grade Glioma (LGG) Segmentation dataset. While other versions of this data exist, they often treat slices as independent images. This version preserves the 3D patient volume and integrates all genomic/clinical labels directly into a multimodal-ready format.
🌟 Why This Version?
Developed for Multimodal AI Research, this dataset addresses several limitations… See the full description on the dataset page: https://huggingface.co/datasets/Ehsan-rmz/lgg-mri-segmentation-research.hnet-segmentswarsh-segments-v3
Haitam03/warsh-v3
Warsh (Rewayat Warsh A'n Nafi') Quran recitation, segmented at waqf with
obadx/recitation-segmenter-v2.
Built with warsh-data.
Layout
path
what
data/<reciter>/<surah>.parquet
one file per source recording, audio embedded as 16 kHz mono FLAC
raw/<reciter>/<surah>.mp3
the source recording it came from
segment_params.json
the settings this corpus was produced with
One parquet per source recording, named after it, so re-running a… See the full description on the dataset page: https://huggingface.co/datasets/Haitam03/warsh-segments-v3.cv-v1.0-segment
CommonVoice v1 Phone-Segment Alignments
Phone-level time alignments for 10 languages of Mozilla Common Voice,
packaged in a canonical segmentation schema with embedded 16 kHz audio. The
phone boundaries come from the charsiu/cv_ali
release of MFA alignments; the audio and transcripts come from
Common Voice Corpus 13.0 (2023-03-09).
Dataset summary
lang
train rows
train hrs
val rows
val hrs
test rows
test hrs
en
1,008,669
1,354.0
3,537
4.9
1,285
1.7
rw… See the full description on the dataset page: https://huggingface.co/datasets/changelinglab/cv-v1.0-segment.tmmluplus_CKIP_segmentedmedieval-segmentation
Dataset Card for CATMuS Medieval (Segmentation Version)
Join our Discord to ask questions about the dataset:
Dataset Details
CATMuS Medieval Segmentation (Consistent Approaches to Transcribing Manuscripts) is a specialized dataset designed for layout analysis of medieval manuscripts using the SegmOnto vocabulary for region and line classification. This dataset addresses the challenges associated with establishing consistent ground truth in layout analysis tasks… See the full description on the dataset page: https://huggingface.co/datasets/CATMuS/medieval-segmentation.synthetic_kidney_stone_segmentation_dataace-opencpop-segments
Citation Information
@misc{shi2024singingvoicedatascalingup,
title={Singing Voice Data Scaling-up: An Introduction to ACE-Opencpop and ACE-KiSing},
author={Jiatong Shi and Yueqian Lin and Xinyi Bai and Keyi Zhang and Yuning Wu and Yuxun Tang and Yifeng Yu and Qin Jin and Shinji Watanabe},
year={2024},
eprint={2401.17619},
archivePrefix={arXiv},
primaryClass={cs.SD},
url={https://arxiv.org/abs/2401.17619},
}
GenSC-6G-Segmentation
GenSC-6G - Scalable Semantic Communication Framework and Dataset
This repository contains the first semantic communication dataset and playground, designed to be scalable, reproducible, and adaptable for a wide range of applications. The dataset and framework are tailored for semantic decoding, classification, and localization tasks in 6G applications, integrating generative AI and semantic communication. Implementation of GenSC-6G: A Prototype Testbed for Integrated Generative AI… See the full description on the dataset page: https://huggingface.co/datasets/CQILAB/GenSC-6G-Segmentation.vhr-building-segmentation
HOT Building Segmentation Dataset
Dataset Description
A semantic segmentation dataset for building footprint extraction from aerial imagery, built from validated Humanitarian OpenStreetMap Team (HOT) Tasking Manager projects that use OpenAerialMap (OAM) imagery.
Dataset Summary
This dataset pairs 256x256 aerial image tiles (zoom level 19) from OpenAerialMap with building footprint labels from OpenStreetMap. All source projects have been fully… See the full description on the dataset page: https://huggingface.co/datasets/hotosm/vhr-building-segmentation.pcb-defect-segmentation
Dataset Labels
['dry_joint', 'incorrect_installation', 'pcb_damage', 'short_circuit']
Number of Images
{'valid': 25, 'train': 128, 'test': 36}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/pcb-defect-segmentation", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/diplom-qz7q6/defects-2q87r/dataset/8… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/pcb-defect-segmentation.pothole-segmentation
Dataset Labels
['pothole']
Number of Images
{'test': 5, 'train': 80, 'valid': 5}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/pothole-segmentation", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/imacs-pothole-detection-wo8mu/pothole-detection-irkz9/dataset/4
Citation
@misc{… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/pothole-segmentation.segments
NuBerea/segments
Analytical unit definitions for biblical, Second Temple, rabbinic, and early Christian
corpora: pericope boundaries for the Hebrew Bible and Greek New Testament, segment
boundaries for the Dead Sea Scrolls, Talmudic literature (Mishnah, Tosefta, Bavli,
Yerushalmi), early Christian writings, Nag Hammadi codices, Old Testament pseudepigrapha,
and Migne's Patrologia Latina, together with a cross-corpus event topology (canonical
biblical events, their aliases… See the full description on the dataset page: https://huggingface.co/datasets/NuBerea/segments.power-plant-olmoearth-segmentation
OlmoEarth v1.2-ready power energy dataset
Derived cook 20260830T191500Z from pinned source 35da3d0549b16e15114ded1eb7df3f4a378e9b4f.
The branch uses no train/validation/test split. Every accepted row is tagged all.
Accepted imagery rows: 12453
Quality-unavailable rows: 1
Release mode: partial with documented quality-unavailable exclusions
Clearest-available quality fallbacks: 10
Sentinel-2 L2A: uint16 [12,1,128,128]
Band order: B02,B03,B04,B08,B05,B06,B07,B8A,B11,B12,B01,B09… See the full description on the dataset page: https://huggingface.co/datasets/sarkarghya/power-plant-olmoearth-segmentation.fixed-tokenizer-morphscore-segmentsdroid_dataset_segmentation_mask
DROID SAM 3.1 Segmentation Masks
This dataset is a mask-only sidecar generated from the original
droid_101/0.0.1 RLDS release. It does not redistribute DROID images or
actions. Its episode_index follows the RLDS episode order.
The same episodes appear in lerobot/droid_1.0.1, but LeRobot stores them in a
different episode order. Therefore, mask episode_index and LeRobot
episode_index must not be joined directly. Use the mapping file described
below to associate these masks with… See the full description on the dataset page: https://huggingface.co/datasets/EpicPinkPenguin/droid_dataset_segmentation_mask.librispeech-segment
LibriSpeech Segment
English read-speech corpus with phone-level time alignments (Montreal
Forced Aligner). Suitable for training and evaluating phone recognition and
phonetic segmentation models.
Sources
Audio: LibriSpeech (OpenSLR 12) by
Vassil Panayotov, Guoguo Chen, Daniel Povey, Sanjeev Khudanpur (2015).
Phone alignments:
anyspeech/librispeech_MFA_alignments.
Splits
Split
Utterances
train.clean.100
28,538
train.clean.360
104,008… See the full description on the dataset page: https://huggingface.co/datasets/changelinglab/librispeech-segment.satellite-building-segmentation
Dataset Labels
['building']
Number of Images
{'train': 6764, 'valid': 1934, 'test': 967}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/satellite-building-segmentation", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation/dataset/1
Citation… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/satellite-building-segmentation.phage-segmentdblibero-pickandplace-segment-next-scene-ab-2Lung_Nodule_Segmentation
Lung Nodule Segmentation Dataset
Introduction
Welcome to the Lung Nodule Segmentation Dataset repository! This project aims to provide a comprehensive dataset for researchers and developers to build and evaluate machine learning models for lung nodule segmentation. Accurate detection and segmentation of lung nodules are crucial steps in the early diagnosis and treatment of lung cancer.
Dataset Overview
The dataset consists of high-resolution CT scans with… See the full description on the dataset page: https://huggingface.co/datasets/basilshaji/Lung_Nodule_Segmentation.ace-kising-segments
Citation Information
@misc{shi2024singingvoicedatascalingup,
title={Singing Voice Data Scaling-up: An Introduction to ACE-Opencpop and ACE-KiSing},
author={Jiatong Shi and Yueqian Lin and Xinyi Bai and Keyi Zhang and Yuning Wu and Yuxun Tang and Yifeng Yu and Qin Jin and Shinji Watanabe},
year={2024},
eprint={2401.17619},
archivePrefix={arXiv},
primaryClass={cs.SD},
url={https://arxiv.org/abs/2401.17619},
}
car-parts-segmentation-yolo
AutoInspect - Car Parts Dataset (Ultralytics YOLO segmentation)
YOLO-версия датасета с сегментацией деталей авто Car Parts Dataset.
Часть проекта AutoInspect (pipeline: view classification → car parts segmentation → damage segmentation).
Основан на датасете от HITL. Для парных деталей были прставлены тэги side (left/right) при помощи Supervisely App. Список таких деталей:
Headlight
Tail-light
Mirror
Front-window
Back-window
Front-door
Back-door
Front-wheel
Back-wheel
Fender… See the full description on the dataset page: https://huggingface.co/datasets/mitbersh/car-parts-segmentation-yolo.basil-segmentation-plantcv
maximilian-franz/basil-segmentation-plantcv
Per-instance segmented basil crops produced by the plantcv backend. This is a Hugging Face ImageFolder dataset: file_name points to the black-background masked crop used for downstream image analysis and bbox_file_name points to the corresponding unmasked rectangular crop. Empty masks are omitted. Bounding boxes use native source-frame coordinates.
Load it with:
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/maximilian-franz/basil-segmentation-plantcv.uvh-coco-segmentedparczech4speech-segmented
ParCzech4Speech (Sentence-Segmented Variant)
Dataset Summary
ParCzech4Speech (Sentence-Segmented Variant) is a large-scale Czech speech dataset based on parliamentary recordings and official transcripts.
This sentence-segmented variant is designed for speech recognition and synthesis tasks, offering clean audio-text alignment and reliable segment boundaries.
It is derived from the ParCzech 4.0 corpus and AudioPSP 24.01 audio collection.
Using WhisperX and Wav2Vec 2.0… See the full description on the dataset page: https://huggingface.co/datasets/ufal/parczech4speech-segmented.racelinecalc-track-segmentation
RaceLineCalc Track Segmentation Dataset
A small top-down racetrack segmentation dataset created for the automatic boundary detection feature in RaceLineCalc.
The companion model repository is RedRatInHat/racelinecalc-track-mask.
Contents
raw/ - 120 RGB racetrack images.
labels/<sample_id>/target_track_mask.png - binary track-surface masks.
labels/<sample_id>/overlay.png - visual QA overlays.
labels/<sample_id>/label.json - full freeform labeler annotation… See the full description on the dataset page: https://huggingface.co/datasets/RedRatInHat/racelinecalc-track-segmentation.surya-bench-ar-segmentation
A Dataset of Binary Maps of Active Regions with Polarity Inversion Lines
Dataset Summary
This dataset provides hourly binary segmentation maps (4096×4096 resolution) derived from Solar Dynamics Observatory (SDO) / Helioseismic and Magnetic Imager (HMI) line-of-sight magnetograms. The maps highlight regions containing Active Regions (ARs) and Polarity Inversion Lines (PILs). The dataset spans observations from May 13, 2010 to December 31, 2024 and is intended for image… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/surya-bench-ar-segmentation.fire-segmentation-dataset
Fire Segmentation Dataset (YOLO-seg format)
Instance-segmentation dataset for fire detection: 1,348 images with
polygon mask labels in Ultralytics YOLO segmentation format. Built to train
sreeharivp23/fire-segmentation-yolo11n.
Contents
Split
Images
train
1,146
val
202
1,098 fire images with one or more fire polygon instances
250 negatives (no fire) with empty label files
fire_seg/
├── data.yaml # Ultralytics dataset config (1 class:… See the full description on the dataset page: https://huggingface.co/datasets/sreeharivp23/fire-segmentation-dataset.