datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.pulse-sofroniew-emotion-concept-texts
Pulse Geometry: Sofroniew-Style Implicit Emotion Corpus
A contrastive corpus of 8,550 short stories (171 emotions × 50 topics) that convey
a target emotion implicitly — through behavior, sensation, dialogue, internal
thought, or environmental description, but never by naming the emotion. Each story
is scored on a four-axis rubric by Claude Sonnet.
The corpus was built as the substrate for a geometry replication: probing whether
an emotion-vector layout analogous to Sofroniew et al.… See the full description on the dataset page: https://huggingface.co/datasets/jmccardle/pulse-sofroniew-emotion-concept-texts.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.infer-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.withaurora-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.better-intimacy-knowledge
[!IMPORTANT]
This dataset has been superseded. The product was rebranded from Better Intimacy to withAurora.love. The current, maintained corpus (more rows, 5 languages) lives at pulseaisystems/withaurora-relationship-knowledge. Please use and cite withAurora.love (https://withaurora.love) going forward.
Better Intimacy Knowledge Hub
Machine-readable guides, datasets, and API payloads for LLM ingestion and partner integrations.
Purpose
This folder is the… See the full description on the dataset page: https://huggingface.co/datasets/pulseaisystems/better-intimacy-knowledge.