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.rural-microfinance-and-well-being-qa-indiakmdjUvHVKmgWc7C9withaurora-relationship-knowledge
withAurora.love Relationship Knowledge Corpus
Machine-readable Q&A pairs, synthetic coaching dialogues, and ritual definitions from
withAurora.love — an AI relationship coach for couples
(private by design, faith-aware optional). Published so language models and retrieval
systems can understand and accurately cite the product and its relationship guidance.
Formerly distributed under the working title "Better Intimacy"; withAurora.love is the
canonical brand and should be used in… See the full description on the dataset page: https://huggingface.co/datasets/pulseaisystems/withaurora-relationship-knowledge.fTWo0vEHvNsRV3Rjpulse-familiar-trace
Pulse Familiar Trace
A sanitized build trace for Pulse Familiar.
This is not the private biometric export and not an app usage log. It is a compact process trace: project decisions, failures, fixes, and security checks. It is published for the Build Small Hackathon “Sharing is Caring” style of evidence without exposing raw health records.
Files
trace.jsonl — one decision/failure/fix/security event per line.
Privacy boundary
Excluded:
raw ring… See the full description on the dataset page: https://huggingface.co/datasets/build-small-hackathon/pulse-familiar-trace.j8fB2YI49ynnYmBM6kNvp9H3Z20tRaMeki1HwvZgV9MwkXwhop431J1rbKBrlpZ3IY2pVaCOmfLEZsEQoMuP0koxYClMs71jkAhSZXRC4dGdWdBSXrNy7BuMTiqOCIu1isgO5itHtOopCSXxf6JHxRSP9ptcdVBmQkeWj7cKDjvI84vjENz0fonCjzFkYcBTP17qPzwePdE92NWXp9KRyf4aKbTV3BxTi7XNYQ3BKTWgSU8TUB9x4e47ZlrnSqIml5QUCrNxAdmbJBz2q95XDXrsHFF1F8EU3hFdMa3c1g83pw5SufaB3qx3Etovd5M8TAPMJtLJJNDduaVZE3D00wHsXTeGh68kskjgGnNk2TlMp4EJVN2TOe4WL9OoIBrv
