datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
time-signature
Time Signature Detection Dataset
A YOLO-format object detection dataset for recognizing musical time signatures in sheet music images. The dataset is compiled from two sources: a subset of DeepScores V2 and public domain scores from IMSLP (Chopin, Beethoven, Mozart, Brahms, Debussy, and others).
Dataset Summary
Split
Images
Instances
Train
381
2,481
Val
269
644
Total
650
3,125
Classes
19 time signature classes with instance… See the full description on the dataset page: https://huggingface.co/datasets/BowenC/time-signature.handwriting-signatures-datasetA dataset of handwritten signatures with text prompts, designed for LoRA fine-tuning of diffusion models to generate realistic personal signatures.
Handwritten Signatures Dataset (Processed)
This dataset contains preprocessed handwritten signatures designed for signature verification and LoRA fine-tuning of diffusion models (e.g., Stable Diffusion) for text-to-image tasks.
📌 Processing steps
Labeling – assigned using computer vision and AI models to group… See the full description on the dataset page: https://huggingface.co/datasets/LuisitoLuisito/handwriting-signatures-dataset.prompt-injection-bit-signatures
Status: experimental. Experiment-specific slice. Primary public dataset: scbe-aethermoore-training-data.
Prompt Injection → Bit Signatures
24,254 labeled prompts from 4 public prompt-injection datasets, each mapped through the Six Sacred Tongues bijective tokenizer from the SCBE-AETHERMOORE framework into a lossless per-prompt bit signature.
Stratified 70/15/15 train/val/test split by (source, label) so every source is represented in every split with its original label… See the full description on the dataset page: https://huggingface.co/datasets/issdandavis/prompt-injection-bit-signatures.handwriting-signatures-datasetA dataset of handwritten signatures with text prompts, designed for LoRA fine-tuning of diffusion models to generate realistic personal signatures.
Handwritten Signatures Dataset (Processed)
This dataset contains preprocessed handwritten signatures designed for signature verification and LoRA fine-tuning of diffusion models (e.g., Stable Diffusion) for text-to-image tasks.
📌 Processing steps
Labeling – assigned using computer vision and AI models to group signatures… See the full description on the dataset page: https://huggingface.co/datasets/sl4shuur/handwriting-signatures-dataset.hep-signature-backgrounds
HEP Signature Backgrounds
This dataset contains generated high-energy-physics examples for mapping signal-region final-state signatures to Standard Model background compositions.
Contents
hep_sft/train.parquet, hep_sft/val.parquet, hep_sft/test.parquet: supervised fine-tuning splits.
Answer Schema
This is a conversational prompt-completion SFT dataset, following the Hugging Face/TRL convention:
{
"id":… See the full description on the dataset page: https://huggingface.co/datasets/ho22joshua/hep-signature-backgrounds.cedar-signatures-genuinesignatures-genuine-combined-cedar-beng-hindi
signatures-genuine-combined-cedar-beng-hindi
Mirror of the exact bmcore v24 local holdout subset: 274918 image files.
Benchmark label: real. This preserves the source benchmark label; it is not an independent label review.
Source reference: https://huggingface.co/datasets/indra-inc/signature_genuine_forged_combined_cedar_beng_hindi.
No new license or ownership claim is asserted by this mirror. Original source rights and restrictions remain applicable.
Source revision reviewed:… See the full description on the dataset page: https://huggingface.co/datasets/34data/signatures-genuine-combined-cedar-beng-hindi.signature-to-mechanisms
Signature-to-Mechanisms (S2M)
Signature-to-Mechanisms (S2M) provides standardized tasks designed to enable the assessment of mechanistic reasoning in AI agents. Each task supplies the elements necessary for evaluation, including experimental context, molecular signatures, and task prompts, so that agents can be tested on their ability to reconstruct mechanistic explanations reported in peer-reviewed biological studies.
S2M formalizes a core challenge in computational biology:… See the full description on the dataset page: https://huggingface.co/datasets/vida-nyu/signature-to-mechanisms.signatures-genuine-bhsig-hindi
signatures-genuine-bhsig-hindi
Mirror of the exact bmcore v24 local holdout subset: 203520 image files.
Benchmark label: real. This preserves the source benchmark label; it is not an independent label review.
Source reference: https://huggingface.co/datasets/indra-inc/signature_genuine_forged_bhSig_hindi.
No new license or ownership claim is asserted by this mirror. Original source rights and restrictions remain applicable.
Source revision reviewed:… See the full description on the dataset page: https://huggingface.co/datasets/34data/signatures-genuine-bhsig-hindi.Signature
Signature Detection Dataset
Introduction
This dataset focuses on detecting human written signatures within documents. It includes a variety of document types with annotated signatures, providing valuable insights for applications in document verification and fraud detection. Essential for training computer vision algorithms, this dataset aids in identifying signatures in various document formats, supporting research and practical applications in document analysis.… See the full description on the dataset page: https://huggingface.co/datasets/Ultralytics/Signature.handwriting-signatures-datasetA dataset of handwritten signatures with text prompts, designed for LoRA fine-tuning of diffusion models to generate realistic personal signatures.
Handwritten Signatures Dataset (Processed)
This dataset contains preprocessed handwritten signatures designed for signature verification and LoRA fine-tuning of diffusion models (e.g., Stable Diffusion) for text-to-image tasks.
📌 Processing steps
Labeling – assigned using computer vision and AI models to group signatures… See the full description on the dataset page: https://huggingface.co/datasets/jade-kai/handwriting-signatures-dataset.kaggle-signature-genuinesignature-original-genuinehandwriting-signatures-datasetA dataset of handwritten signatures with text prompts, designed for LoRA fine-tuning of diffusion models to generate realistic personal signatures.
Handwritten Signatures Dataset (Processed)
This dataset contains preprocessed handwritten signatures designed for signature verification and LoRA fine-tuning of diffusion models (e.g., Stable Diffusion) for text-to-image tasks.
📌 Processing steps
Labeling – assigned using computer vision and AI models to group signatures… See the full description on the dataset page: https://huggingface.co/datasets/ebixhaferaj/handwriting-signatures-dataset.signatures
Signatures Dataset
A collection of handwritten signature images with associated names, useful for signature generation and verification research.
Dataset Structure
This dataset contains two splits:
Split
Images
Description
raw
49,530
Original images (various sizes, colors, formats)
processed
48,860
Preprocessed images (512×256, grayscale, white background, black signature)
Columns
Both splits contain:
image: The signature image
file_name:… See the full description on the dataset page: https://huggingface.co/datasets/weights-and-wires/signatures.stable-signatureSome data used for evaluation of stable signature
clinical-therapeutic-pathway-offramp-onramp-signature-detection-v0.1What this dataset tests
Whether a model can detect invariant signatures at clinical branch pointsand predict the next trajectory basin after an intervention choice.
Branch points include
dose change
switch class
pause
escalation
de-escalation
add-on support
Outputs
invariant signature label
predicted next basin
off-ramp or on-ramp classification
Basin labels
stabilization_basin
tolerance_loop_basin
oscillation_basin
deterioration_basin
delayed_recovery_basin… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-therapeutic-pathway-offramp-onramp-signature-detection-v0.1.africa-synth-radar-phased-array-signatures-all
Long-Range Phased-Array Radar Signatures | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: culture_language - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-radar-phased-array-signatures-all.file-format-signatures
File format magic numbers
Canonical, always-current version: https://referencesource.org/file-format-signatures/
Machine-readable: https://referencesource.org/file-format-signatures/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-03
Stale after: 2027-08-03 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 229
The leading bytes (magic number / file signature) that identify a file format, with its… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/file-format-signatures.class-signatures-benchmarkafrica-synth-radar-cuas-signatures-all
Counter-UAS Radar Signatures | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: culture_language - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-radar-cuas-signatures-all.Acoustic-Emotion-Vocal-Signature
Acoustic Predictors of Emotional States and Distress Signatures
Project Overview:
This dataset is sourced from Kaggle (Speech Emotion Detection Dataset), containing features from the RAVDESS and TESS databases.
The dataset consists of approximately 10,000 rows and 12 features.
Core Features: Key attributes include Pitch (Hz), Intensity (dB), and 13 coefficients of Mel-Frequency Cepstral Coefficients (MFCCs).
Clinical Application: This research facilitates the identification of a "vocal… See the full description on the dataset page: https://huggingface.co/datasets/yuvalhazan2/Acoustic-Emotion-Vocal-Signature.legal-witness-credibility-coherence-signature-v0.1What this dataset is
You receive
in-court testimony
prior statements
objective facts
contradiction signals
incentive signals
impeachment signals
You decide
Does testimony stay aligned with prior statements and objective facts
Answer
coherent
or
incoherent
Why this matters
Credibility drift predicts
impeachment success
verdict instability
appeal risk
system trust collapse
exp_8_2_spec_modality_type_signatures_test25synthetic-digital-signature-blocks
Synthetic Digital Signature Blocks
Synthetically generated images of digital signature appearance blocks — the visual stamp that PDF readers draw on a document when it is signed electronically. Every image is procedurally generated with PIL; no real document, no real person, and no real product branding is included.
The dataset was built to train signature-presence detectors on scanned administrative forms, where handwritten signatures are only one of several valid visual… See the full description on the dataset page: https://huggingface.co/datasets/marayagomez/synthetic-digital-signature-blocks.clinical-crisis-invariant-signature-minimal-set-extraction-v0.1What this dataset tests
Whether a model can extract the smallest cross-scale signature setthat marks the onset of a clinical crisis.
It penalizes long feature lists.
Outputs
signature_set_top3
dominance_rank_order
mechanism_hypothesis_1_sentence
Signature component labels
coupling_direction_flip
variance_jump_no_threshold
medication_response_mismatch
narrative_alarm_language_shift
lab_lag_reversal_pattern
vitals_labs_decoupling
stealth_hypoperfusion_pattern… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-crisis-invariant-signature-minimal-set-extraction-v0.1.exp_8_2_spec_modality_type_signatures_test5crypto-prime-market-signatures
🔱 ZKAEDI PRIME — Crypto.com Market Energy Signatures
Live market data from Crypto.com Exchange
enriched with ZKAEDI PRIME Recursively Coupled Hamiltonian energy features.
Hamiltonian Framework
Features
Feature
Description
prime_energy_mean
Mean attractor energy at convergence
prime_phase_velocity
Energy trajectory slope (trend strength)
prime_hurst_proxy
Persistence estimate (>0.5 = trending, <0.5 = reverting)
prime_bifurcation_count
Phase… See the full description on the dataset page: https://huggingface.co/datasets/zkaedi/crypto-prime-market-signatures.package-signatures-benchmarkexp_8_2_spec_modality_type_signatures