benchmark-dataset
cvdp-benchmark-datasetImportant please see "Files and versions" above for full list of files in the CVDP dataset.
Please see LICENSE and NOTICE for licensing information. See CHANGELOG for changes.
This is the Comprehensive Verilog Design Problems (CVDP) benchmark dataset to use with the CVDP infrastructure on GitHub.
benchmark-datasets
Latency-Sensitive Bench datasets
Accepted zero-latency teacher rollouts for the supported benchmark tasks.
Viewer subsets
humanoidbench_balance_simple: 90 training and 10 validation episodes. The
observation.image values are PNG bytes declared as the Hugging Face Image
feature, so the Dataset Viewer renders them instead of showing their encoded
representation. Canonical LeRobot MP4 files remain under each split's
videos/ directory.
mikasa_intercept_grab_fast:… See the full description on the dataset page: https://huggingface.co/datasets/latency-sensitive-bench/benchmark-datasets.qualcomm-exercise-video-dataset-benchmark
Dataset Card for Qualcomm Exercise Video Dataset (Benchmark)
This is the benchmark split of the dataset as described here
This is a FiftyOne dataset with 74 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/qualcomm-exercise-video-dataset-benchmark.L-FAME
L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark
A longitudinal 64-channel EEG dataset and benchmark for studying focused attention meditation (FAM) and how its neural signatures evolve across a six-week training period. 74 healthy adults were recorded at a pre-intervention baseline; 44 of them returned for a post-intervention follow-up. Three FAM techniques are systematically compared: Hare Krishna mantra (HK), SA-TA-NA-MA mantra (SA), and Breath… See the full description on the dataset page: https://huggingface.co/datasets/L-FAME-Dataset-Benchmark/L-FAME.Time-Series-Forecasting-Benchmark-Datasets
Time Series Forecasting Benchmark Datasets
Documentation Language
简体中文 | English | Tiếng Việt
Dataset Download
https://huggingface.co/datasets/Duyu/Time-Series-Forecasting-Benchmark-Datasets/tree/main
https://github.com/duyu09/TimeSeries-Forecasting-Dataset/releases/download/v1.0.0/dataset.7z
Dataset Desc.
ETT The Electricity Transformer Temperature (ETT) dataset serves as a critical benchmark for evaluating electric power forecasting. It… See the full description on the dataset page: https://huggingface.co/datasets/Duyu/Time-Series-Forecasting-Benchmark-Datasets.Antibody_Binding_Benchmark_DatasetWe introduce AbBiBench (Antibody Binding Benchmarking), a benchmarking framework for optimizing antibody binding affinity. This dataset contains the sequences of mutants, experimentally measured affinity values, and the structures of antigen-antibody complexes.
Mutant structure files for AbBiBench dataset is available at https://zenodo.org/records/16557372