datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ECGInstruct
ECGInstruct
Dataset for paper "Teach Multimodal LLMs to Comprehend Electrocardiographic Images".
🌐 Project Page: https://aimedlab.github.io/PULSE/
📄 Paper: https://arxiv.org/abs/2410.19008
🧑💻 Code: https://github.com/AIMedLab/PULSE
🤗 Model: https://huggingface.co/PULSE-ECG/PULSE-7B
⚖️ ECGBench: https://huggingface.co/datasets/PULSE-ECG/ECGBench
Introduction
ECGInstruct is a comprehensive and large-scale instruction-tuning dataset designed for ECG image… See the full description on the dataset page: https://huggingface.co/datasets/PULSE-ECG/ECGInstruct.PulseLM
PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning
Usage
from datasets import load_dataset, get_dataset_config_names, concatenate_datasets # datasets==4.5.0
dataset_names = get_dataset_config_names("Manhph2211/PulseLM")
print(f"Available datasets: {dataset_names}")
train_splits = [
load_dataset("Manhph2211/PulseLM", name, split="train").select_columns(["signal", "text", "qa"])
for name in dataset_names
]
combined =… See the full description on the dataset page: https://huggingface.co/datasets/Manhph2211/PulseLM.pulseedge-trading-ai-v5
PulseEdge Trading AI v5 — categorized lake
Private snapshot of the Hetzner storage box, split by data type.
v4 put packed tables at the repo root and everything else under a flat archives/ dump.
v5 keeps the same research lake but files live in typed folders.
Research use only. Not investment advice. Equities/ETFs only. No crypto.
Categories
Folder
What is in it
ohlcv/packed/
Combined Yahoo bars (1d/1h/15m/5m/1m) plus train/holdout splits
ohlcv/yahoo/… See the full description on the dataset page: https://huggingface.co/datasets/NickTheCoolst/pulseedge-trading-ai-v5.pulseedge-trading-ai-v2
PulseEdge Trading AI v2
Broader follow-up to NickTheCoolst/pulseedge-trading-ai (v1).
Equities/ETFs only. No crypto. No raw ITCH. No SEC archives.
Research use only. Not investment advice. Survivorship bias in the liquidity universe.
Use purged walk-forward splits. Label columns leak the future by construction.
What is new vs v1
v1
v2
Liquidity bar
$250k, 2y, $2
$80k, 1y, $1
Daily features (filtered)
24.1M / 6,896
25.6M / 7,505
Daily features (full… See the full description on the dataset page: https://huggingface.co/datasets/NickTheCoolst/pulseedge-trading-ai-v2.ECGBench
ECGBench
Benchmark Dataset for paper "Teach Multimodal LLMs to Comprehend Electrocardiographic Images".
🌐 Project Page: https://aimedlab.github.io/PULSE/
📄 Paper: https://arxiv.org/abs/2410.19008
🧑💻 Code: https://github.com/AIMedLab/PULSE
🤗 Model: https://huggingface.co/PULSE-ECG/PULSE-7B
👩⚕️ ECGInstruct: https://huggingface.co/datasets/PULSE-ECG/ECGInstruct
Introduction
We introduce ECGBench, a comprehensive benchmark designed to evaluate ECG image… See the full description on the dataset page: https://huggingface.co/datasets/PULSE-ECG/ECGBench.ecg-instruct-pulse-250-500
Dataset Details
This is a randomly split five fold dataset of the ECG-Instruct Pulse dataset stratified based on patients (i.e., zero patient overlap between training and test).
The name of the dataset repository is ecg-instruct-pulse-250-500 where 250 refers to the sampling frequency and 500 denotes 2 seconds.
The code to do the splitting is here.
Any questions or issues, please do not hesitate to reach out to the maintainer of ECG-Bench.
llm-pulse-dataPULSE
PULSE
A Synchronized Five-Modality Dataset for Multi-Modal Daily Activity Understanding
MoCap · EMG · Eye Tracking · IMU · Fingertip Pressure — all hardware-synced at 100 Hz
NeurIPS 2026 Evaluations & Datasets · under double-blind review · CC BY-NC 4.0
At a glance
40
9
5
7,789
volunteers
scenarios (S1–S8 + S9 motion primitives)
modalities @ 100 Hz
dense action segments
337 total recordings(304 task + 33 S9)
~9.7 h total (S1–S8: ~7.0 h)
<10 ms… See the full description on the dataset page: https://huggingface.co/datasets/velvet-pine-22/PULSE.ecg-instruct-pulse-250-1250
Dataset Details
This is a randomly split five fold dataset of the ECG-Instruct Pulse dataset stratified based on patients (i.e., zero patient overlap between training and test).
The name of the dataset repository is ecg-instruct-pulse-250-1250 where 250 refers to the sampling frequency and 1250 denotes 5 seconds.
The code to do the splitting is here.
Any questions or issues, please do not hesitate to reach out to the maintainer of ECG-Bench.
PulseBench-Tab
PulseBench-Tab
A frontier multilingual benchmark for table extraction from document images.
PulseBench-Tab contains 1,820 human-annotated tables across 9 languages (English 589, Chinese 213, Spanish 176, Russian 170, French 165, Japanese 164, Arabic 146, German 113, Korean 84) and 4 scripts (Latin, CJK, Arabic, Cyrillic), sourced from 380 unique documents including financial filings, government reports, corporate disclosures, and regulatory filings. Each sample is a table image… See the full description on the dataset page: https://huggingface.co/datasets/pulse-ai/PulseBench-Tab.fed-pulse-embedding-caches
yusufizzetmurat/fed-pulse-embedding-caches
Artefact for the fed-pulse FOMC text analytics project.
Source code: https://github.com/yusufizzetmurat/fed-pulse
Live demo: https://fedpulse.yusufizzetmurat.com
License: mit
Training corpus
Per-encoder embedding caches keyed on (encoder alias, encoder revision). Each parquet carries record_id, doc_id, event_date, chunk_index, chunk_preview, and embedding.
Training command
python… See the full description on the dataset page: https://huggingface.co/datasets/yusufizzetmurat/fed-pulse-embedding-caches.ultimate-life-ds15-volcanic-pulse
Ultimate Life — Volcanic Pulse
A public, U.S.-first, source-derived visual-grammar reference pack for MiniMax H3-compatible video study.
What is inside
clips/ — 20 silent H.264 MP4 clips and 20 paired .txt captions.
manifest.json — exact source timestamp, output hash, H3 contract, and clip-level restriction.
source.json — source URL, rights basis, preservation checksum, and probe data when available.
candidate-beats.json — selection ledger used to make the… See the full description on the dataset page: https://huggingface.co/datasets/TheMindExpansionNetwork/ultimate-life-ds15-volcanic-pulse.pulse-ecg-instruct-subsetopen-pulse-hackathon-data-analysis
LauzHack Projects Dataset
Dataset Summary
This dataset contains comprehensive information about projects submitted to
LauzHack (EPFL's student-run hackathon) from 2023 to 2025. Each project
includes details about the project title, description, team members, awards, and
categories.
LauzHack is an annual 24-hour hackathon hosted at EPFL (École Polytechnique
Fédérale de Lausanne) in Lausanne, Switzerland, bringing together students and
hackers to create innovative solutions… See the full description on the dataset page: https://huggingface.co/datasets/SDSC/open-pulse-hackathon-data-analysis.londons-pulse-moh
London's Pulse: Medical Officer of Health reports (page images + OCR text)
Page-level scans of the Wellcome Collection London's Pulse
Medical Officer of Health (MOH) reports (1848–1972), paired with OCR text, per-report
licence, and full provenance. Built for OCR / VLM / document-understanding work on real
historical public-health records — dense statistical tables, mixed layouts, century-old print.
Configs
config
rows
what
default
391,964 pages / 4,886… See the full description on the dataset page: https://huggingface.co/datasets/biglam/londons-pulse-moh.ecg-instruct-pulse-250-2500
Dataset Details
This is a randomly split five fold dataset of the ECG-Instruct Pulse dataset stratified based on patients (i.e., zero patient overlap between training and test).
The name of the dataset repository is ecg-instruct-pulse-250-2500 where 250 refers to the sampling frequency and 2500 denotes 10 seconds.
The code to do the splitting is here.
Any questions or issues, please do not hesitate to reach out to the maintainer of ECG-Bench.
worldcup-pulse-data
WorldCup Pulse Data
This Hugging Face Dataset repository is the single source of truth for WorldCup Pulse Lakehouse data. The GitHub code repo never commits generated data; GitHub Actions uploads this lakehouse output to this dataset repo.
Lakehouse layout
bronze/*.parquet # normalized raw API snapshots
silver/*.parquet # cleaned canonical entities and events
gold/*.parquet # dashboard-ready marts
state/last_run.json # incremental state
logs/*.csv… See the full description on the dataset page: https://huggingface.co/datasets/n2d/worldcup-pulse-data.PulseLM
PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning
Hung Manh Pham*
Jinyang Wu*
Xiao Ma
Yiming Zhang
Yixin Xu
Aaqib Saeed
Bin Zhu†
Zhou Pan†
Dong Ma†
* Equal contribution † Corresponding authors
Introduction
PulseLM is a multimodal framework that integrates PPG (Photoplethysmography) signal encoders with large language models for physiological signal understanding research. The project includes a large-scale… See the full description on the dataset page: https://huggingface.co/datasets/Ronilos/PulseLM.ecg-bench-pulse-250-1250
Dataset Details
This is a randomly split five fold dataset of the ECG-Bench Pulse dataset stratified based on patients (i.e., zero patient overlap between training and test).
The name of the dataset repository is ecg-bench-pulse-250-1250 where 250 refers to the sampling frequency and 1250 denotes 5 seconds.
The code to do the splitting is here.
Any questions or issues, please do not hesitate to reach out to the maintainer of ECG-Bench.
ecg-bench-pulse-250-500
Dataset Details
This is a randomly split five fold dataset of the ECG-Bench Pulse dataset stratified based on patients (i.e., zero patient overlap between training and test).
The name of the dataset repository is ecg-bench-pulse-250-500 where 250 refers to the sampling frequency and 500 denotes 2 seconds.
The code to do the splitting is here.
Any questions or issues, please do not hesitate to reach out to the maintainer of ECG-Bench.
full-dubai-pulseecg-bench-pulse-250-2500
Dataset Details
This is a randomly split five fold dataset of the ECG-Bench Pulse dataset stratified based on patients (i.e., zero patient overlap between training and test).
The name of the dataset repository is ecg-bench-pulse-250-2500 where 250 refers to the sampling frequency and 2500 denotes 10 seconds.
The code to do the splitting is here.
Any questions or issues, please do not hesitate to reach out to the maintainer of ECG-Bench.
PulseMind
MediScope: A Large-Scale Multimodal Medical Dataset
MediScope is a large-scale multimodal medical dataset designed for medical vision-language understanding and medical QA. It includes structured JSON annotations paired with medical images.
Release Notes
This release provides a curated subset of approximately 1,000 cases (JSON + images).The full dataset is larger and will be gradually released in future updates.
Benchmarks
We provide the following benchmark… See the full description on the dataset page: https://huggingface.co/datasets/AQ-MedAI/PulseMind.fed-pulse-training-package
yusufizzetmurat/fed-pulse-training-package
Artefact for the fed-pulse FOMC text analytics project.
Source code: https://github.com/yusufizzetmurat/fed-pulse
Live demo: https://fedpulse.yusufizzetmurat.com
License: mit
Training corpus
Canonical FOMC event dataset: events.parquet, splits, fold manifest, rates_panel.parquet, linguistic_features.parquet, mp_surprises.parquet, macro_state.parquet, registry_normalized.jsonl, and quality reports.
Training… See the full description on the dataset page: https://huggingface.co/datasets/yusufizzetmurat/fed-pulse-training-package.bio-pulse-pack
Bio-Pulse Physiological Telemetry Pack (Sample)
A synthetic wearable-sensor physiological telemetry dataset for early-warning detection, digital-health model training, and remote patient monitoring research. Each row is a complete physiological event sequence — from baseline vitals through a progressing clinical scenario (drug interaction, septic cascade, nocturnal hypoglycemia) — with phenotype context, causal-chain labels, and anomaly-signature detection metadata.
Built by… See the full description on the dataset page: https://huggingface.co/datasets/solsticestudioai/bio-pulse-pack.quantum-control-pulse-instability-v0.1
quantum-control-pulse-instability-v0.1
What this dataset does
This dataset evaluates whether models can detect instability in quantum control pulse regimes.
Each row represents a simplified control scenario where quantum gates are implemented through microwave or optical pulse sequences.
The task is to determine whether the pulse regime remains stable or becomes unstable due to drift, noise, or synchronization failures.
Core stability idea
Quantum control… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/quantum-control-pulse-instability-v0.1.rural-microfinance-and-well-being-qa-indiainfer-pulse-eval
Infer Pulse Static Analysis Evaluation Dataset
Dataset Description
This dataset contains 523 C functions extracted from Meta's Infer static analyzer test suite, specifically the Pulse analyzer tests. It's designed for evaluating Large Language Models (LLMs) on static analysis tasks, particularly memory safety bug detection in C code.
Note: This is an evaluation-only dataset. All examples are provided in the test split.
Key Features
523 individual C… See the full description on the dataset page: https://huggingface.co/datasets/shubhamugare/infer-pulse-eval.Dubai-Pulse-Commerce-RegistrySource: Dubai Pulse: Commerce Registry
race-pulse-parquet