ml-dataset
IntTravel_datasetAll data has been uploaded. Please note that the current POI dataset does not include coordinate information. We will be updating it as soon as possible, so please stay tuned. If you do not need the coordinate information for the POIs, please disregard this message.
IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation
Paper | GitHub
IntTravel is the first large-scale public dataset for integrated travel recommendation, including… See the full description on the dataset page: https://huggingface.co/datasets/GD-ML/IntTravel_dataset.trinity-dataset-v3rtl-ml-dataset
RTL-ML Dataset v2
Dataset Summary
This dataset contains 800 validated RF signal samples captured using an RTL-SDR Blog V4 dongle on an Indiedroid Nova (RK3588S). Designed for training machine learning models to classify common RF signals.
Samples: 800 (7 classes)
Format: NumPy arrays (.npy files) — each file is a dict with IQ data + metadata
Sample Rate: 1.024 MSPS
Sample Duration: 0.5 seconds per capture
Quality Gates: DC removal, auto-gain, 6 dB minimum SNR, per-class… See the full description on the dataset page: https://huggingface.co/datasets/TrevTron/rtl-ml-dataset.rtl-ml-dataset
RTL-ML Dataset
Dataset Summary
This dataset contains 240 validated RF signal samples captured using an RTL-SDR Blog V4 dongle. It's designed for training machine learning models to classify common RF signals.
Total Size: 1.9 GBSamples: 240 (30 samples × 8 classes)Format: NumPy arrays (.npy files)Sample Rate: 1.024 MSPSSample Duration: 1 second per capture
Signal Classes
Class
Frequency
Count
Description
ADS_B
1090 MHz
30
Aircraft transponder… See the full description on the dataset page: https://huggingface.co/datasets/weswebunited/rtl-ml-dataset.dataset_concrete_compressive_strength
Machine learning in concrete science: applications, challenges, and best practices
Dataset containing concrete compressive strength for 1030 materials
Dataset Information
Source: Foundry-ML
DOI: 10.18126/8k1f-mx77
Year: 2022
Authors: Li, Zhanzhao, Yoon, Jinyoung, Zhang, Rui, Rajabipour, Farshad, Srubar III, Wil V., Dabo, Ismaila, Radlińska, Aleksandra
Data Type: tabular
Fields
Field
Role
Description
Units
Cement (component 1)(kg in a m^3… See the full description on the dataset page: https://huggingface.co/datasets/foundry-ml/dataset_concrete_compressive_strength.vFab-1.0-Photolithography-ML-surrogate-Tensor-Dataset
vFab-1.0-Photolithography-ML-surrogate-Tensor-Dataset
This dataset contains generated physics simulations for semiconductor photolithography, formatted as Native NCHW .npy arrays for direct ingestion into PyTorch models.
Dataset Structure
The data is split into two simulation phases:
1. Aerial Image Dataset (aerial_image_dataset/)
Inputs (X_input/): Shape [4, 512, 512]. Contains:
Channel 0: Binary Layout Mask (Vertical/Horizontal Gratings, Contact Arrays, etc.)… See the full description on the dataset page: https://huggingface.co/datasets/nk-21-mit/vFab-1.0-Photolithography-ML-surrogate-Tensor-Dataset.