datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
p2-etf-tsfm-resultsgluco-tsfm-benchmark
Overview
This dataset aggregates multiple open-access CGM cohorts for blood glucose forecasting.
Included sub-datasets and their original download links
BIG_IDEA_LAB: https://doi.org/10.13026/zthx-5212
D1NAMO: https://zenodo.org/records/5651217
HUPA-UCM: https://data.mendeley.com/datasets/3hbcscwz44/1
Colas2019: https://pubmed.ncbi.nlm.nih.gov/31851681/
ShanghaiT2DM: https://doi.org/10.6084/m9.figshare.c.6310860
ShanghaiT1DM: https://doi.org/10.6084/m9.figshare.c.6310860… See the full description on the dataset page: https://huggingface.co/datasets/byluuu/gluco-tsfm-benchmark.real-v-tsfm
REAL-V-TSFM Dataset
REAL-V-TSFM is a novel time series dataset derived entirely from real-world video data using optical flow methods. It was created to evaluate the generalization capabilities of Time Series Foundation Models (TSFMs) on realistic temporal dynamics, bridging the gap between synthetic benchmarks and real data.
Dataset Overview
Extraction Method: Uses the Lucas-Kanade optical flow algorithm to track pixel trajectories at detected keypoints in… See the full description on the dataset page: https://huggingface.co/datasets/Volavion/real-v-tsfm.tsfm-peft-bench
TSFM-PEFT-Bench
A cross-architecture benchmark for evaluating Parameter-Efficient Fine-Tuning
(PEFT) recommendation reliability in Time Series Foundation Models (TSFMs).
Companion code and artifacts for the paper "TSFM-PEFT-Bench: A
Cross-Architecture Benchmark for PEFT Selection in Time Series Foundation
Models" (under double-blind review at NeurIPS 2026 Datasets and Benchmarks
Track).
Quick metadata:
License: Apache-2.0 (LICENSE)
Croissant manifest: tsfm_peft_bench.croissant.json… See the full description on the dataset page: https://huggingface.co/datasets/EvalData/tsfm-peft-bench.tsfm-har-bench