datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.stereotactic-radiosurgery-k1-with-segmentation
🎯 Stereotactic Radiosurgery Dataset (SRS)
🏥 400 synthetic patient records describing the clinical, imaging, segmentation, and treatment-planning metadata of a stereotactic radiosurgery workflow, delivered as a single CSV with placeholder file paths.
⚠️ Disclaimer: This is a metadata-only synthetic dataset. It contains no real patients, no image files, and no segmentation files. Every record is generated; paths in the imaging and segmentation columns are placeholders that do… See the full description on the dataset page: https://huggingface.co/datasets/Taylor658/stereotactic-radiosurgery-k1-with-segmentation.SAM2-based-plant-disease-lesion-segmentation-model-DATASETclinical-healing-trajectory-tokenization-phase-segmentation-v0.1What this dataset tests
Whether a model can segment high-frequency recovery datainto interpretable healing phases.
Required outputs
phase_sequence
phase_boundaries
phase_confidence_0_100
Token labels
acute_drop
early_rebound
consolidation_plateau
oscillatory_instability
secondary_drop
delayed_rebound
steady_ascent
maladaptive_plateau
recovery_lock_in
Boundary format
Use day indicesexampleacute_drop d0-d2
Typical failures
naming phases without boundaries… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-healing-trajectory-tokenization-phase-segmentation-v0.1.abisheksudarshan_customer-segmentation
Customer Segmentation
Multiclass Classification
Dataset Info
Source: Kaggle
Original Size: 0.10 MB
Kaggle Downloads: 9,253
Files: 2
Files
test.csv
train.csv
Mirrored from Kaggle
segmentation_benchmarkPublic and private set of It's AI segmenation benchmark for ai-detection task.
In public set you will find:
text - fully ai, partly ai or fully human text (English only)
segmentation_labels - word-level labels (1 for AI, 0 for human)
model_name - which model was used to generate this text or Nan for fully human texts
In private set you will find only text column