datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
E2AM_ResNet50
E2AM Ablation Results: ResNet-50
Energy-aware training ablation study for ResNet-50 across three image-classification datasets: CIFAR-10, CIFAR-100, and Tiny-ImageNet.
Each dataset has 15 training variants (8 individual-method M0..M7, 7 cumulative ablation C0..C6) at 50 epochs, plus a 5-variant deployment pipeline (FP32 baseline, structured pruning, pruning+finetune, INT8 quantization, pruned+INT8).
Status: 45 completed variants, 0 partial.
Quick links… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/E2AM_ResNet50.FI2010Source dataset of
"Benchmark Dataset for Mid-Price Forecasting of Limit Order Book Data with Machine Learning Methods" arXiv:1705.03233
DeepLOB
"DeepLOB: Deep Convolutional Neural Networks for Limit Order Books" https://arxiv.org/abs/1808.03668
license: mit
E2AM_MobileViTv2
E2AM Ablation Results: MobileViTv2
Energy-aware training ablation study for MobileViTv2 across three image-classification datasets: CIFAR-10, CIFAR-100, and Tiny-ImageNet.
Each dataset has 15 training variants (8 individual-method M0..M7, 7 cumulative ablation C0..C6) at 50 epochs, plus a 5-variant deployment pipeline (FP32 baseline, structured pruning, pruning+finetune, INT8 quantization, pruned+INT8).
Status: 45 completed variants, 0 partial.
Quick links… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/E2AM_MobileViTv2.E2AM_ConvNeXtV2_CIFAR10robot-nav
ACCESS REQUIREMENT - FOLLOW TO DOWNLOAD
This dataset requires following the author to access.
How to Access
Follow @shangshang on HuggingFace: https://huggingface.co/shangshang
Request access by commenting on the dataset page
Once approved, you will receive download permissions
Usage Agreement
For research and educational purposes only
Do not redistribute without permission
Cite the dataset in your work:
@misc{shangshang_dataset_2026… See the full description on the dataset page: https://huggingface.co/datasets/shangshang/robot-nav.medical-mri
ACCESS REQUIREMENT - FOLLOW TO DOWNLOAD
This dataset requires following the author to access.
How to Access
Follow @shangshang on HuggingFace: https://huggingface.co/shangshang
Request access by commenting on the dataset page
Once approved, you will receive download permissions
Usage Agreement
For research and educational purposes only
Do not redistribute without permission
Cite the dataset in your work:
@misc{shangshang_dataset_2026… See the full description on the dataset page: https://huggingface.co/datasets/shangshang/medical-mri.medical-diabetes
ACCESS REQUIREMENT - FOLLOW TO DOWNLOAD
This dataset requires following the author to access.
How to Access
Follow @shangshang on HuggingFace: https://huggingface.co/shangshang
Request access by commenting on the dataset page
Once approved, you will receive download permissions
Usage Agreement
For research and educational purposes only
Do not redistribute without permission
Cite the dataset in your work:
@misc{shangshang_dataset_2026… See the full description on the dataset page: https://huggingface.co/datasets/shangshang/medical-diabetes.robot-manip
ACCESS REQUIREMENT - FOLLOW TO DOWNLOAD
This dataset requires following the author to access.
How to Access
Follow @shangshang on HuggingFace: https://huggingface.co/shangshang
Request access by commenting on the dataset page
Once approved, you will receive download permissions
Usage Agreement
For research and educational purposes only
Do not redistribute without permission
Cite the dataset in your work:
@misc{shangshang_dataset_2026… See the full description on the dataset page: https://huggingface.co/datasets/shangshang/robot-manip.robot-trajectory
ACCESS REQUIREMENT - FOLLOW TO DOWNLOAD
This dataset requires following the author to access.
How to Access
Follow @shangshang on HuggingFace: https://huggingface.co/shangshang
Request access by commenting on the dataset page
Once approved, you will receive download permissions
Usage Agreement
For research and educational purposes only
Do not redistribute without permission
Cite the dataset in your work:
@misc{shangshang_dataset_2026… See the full description on the dataset page: https://huggingface.co/datasets/shangshang/robot-trajectory.robot-joint
ACCESS REQUIREMENT - FOLLOW TO DOWNLOAD
This dataset requires following the author to access.
How to Access
Follow @shangshang on HuggingFace: https://huggingface.co/shangshang
Request access by commenting on the dataset page
Once approved, you will receive download permissions
Usage Agreement
For research and educational purposes only
Do not redistribute without permission
Cite the dataset in your work:
@misc{shangshang_dataset_2026… See the full description on the dataset page: https://huggingface.co/datasets/shangshang/robot-joint.E2AM_EfficientNetV2_S
E2AM Ablation Results: EfficientNetV2-S
Energy-aware training ablation study for EfficientNetV2-S across three image-classification datasets: CIFAR-10, CIFAR-100, and Tiny-ImageNet.
Each dataset has 15 training variants (8 individual-method M0..M7, 7 cumulative ablation C0..C6) at 50 epochs, plus a 5-variant deployment pipeline (FP32 baseline, structured pruning, pruning+finetune, INT8 quantization, pruned+INT8).
Status: 45 completed variants, 0 partial.
Quick links… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/E2AM_EfficientNetV2_S.E2AM_ConvNeXtV2Nano
E2AM Ablation Results: ConvNeXtV2-Nano
Energy-aware training ablation study for ConvNeXtV2-Nano across three image-classification datasets: CIFAR-10, CIFAR-100, and Tiny-ImageNet.
Each dataset has 15 training variants (8 individual-method M0..M7, 7 cumulative ablation C0..C6) at 50 epochs, plus a 5-variant deployment pipeline (FP32 baseline, structured pruning, pruning+finetune, INT8 quantization, pruned+INT8).
Status: 45 completed variants, 0 partial. 15 deployment runs.… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/E2AM_ConvNeXtV2Nano.health-chatbot
Dataset Card for Dataset Name
Health Question and Answer Clean Dataset
Dataset Details
Dataset Description
This dataset provides a detailed overview of health question & answer pairs. It includes data on health problems and corresponding answers, making it suitable for variable tasks like healthcare chatbot training.
Language(s) (NLP): English
License: Apache-2.0
Dataset Sources [optional]
Repository:… See the full description on the dataset page: https://huggingface.co/datasets/shaneperry0101/health-chatbot.E2AM_ConvNeXtV2Tiny
E2AM Ablation Results: ConvNeXtV2-Tiny
Energy-aware training ablation study for ConvNeXtV2-Tiny across three image-classification datasets: CIFAR-10, CIFAR-100, and Tiny-ImageNet.
Each dataset has 15 training variants (8 individual-method M0..M7, 7 cumulative ablation C0..C6) at 50 epochs, plus a 5-variant deployment pipeline (FP32 baseline, structured pruning, pruning+finetune, INT8 quantization, pruned+INT8).
Status: 45 completed variants, 0 partial. 15 deployment runs.… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/E2AM_ConvNeXtV2Tiny.E2AM_EffNetV2_CIFAR10Shanghai-License-Plate-Auction
Introduction
Second-by-second price updates from the last 60 seconds of the monthly license plate auction in Shanghai from 2014 to 2020, and a few months of 2021. The seconds data is given as a differential compared to the startprice. I managed to correctly predict and score a license plate on all three years that I worked on the project during 2018-2020. But it's not easy as there are lots of other factors affecting success on top of prediction accuracy.
Read More
To… See the full description on the dataset page: https://huggingface.co/datasets/tipani/Shanghai-License-Plate-Auction.exercise-mediapipe-4exerciseE2AM_MobileViTv2_CIFAR10E2AM_MobileViTv2_CIFAR100E2AM_EffNetV2_CIFAR100E2AM_EffNetV2_TinyImageNetE2AM_MobileViTv2_TinyImageNetanime_recommender_systemexer24-apex-w16E2AM_ConvNeXtV2_TinyImageNetldwcnet-brain-mri-modelE2AM_ConvNeXtV2_CIFAR100CIIR_MSMARCOldwcnet-brain-mri-2embeddings_medicare