apple
Datasets
All datasets matching “apple”DataCompDR-1B
Dataset Card for DataCompDR-1B
This dataset contains synthetic captions, embeddings, and metadata for DataCompDR-1B.
The metadata has been generated using pretrained image-text models on DataComp-1B.
For details on how to use the metadata, please visit our github repository.
Dataset Details
Dataset Description
DataCompDR is an image-text dataset and an enhancement to the DataComp dataset.
We reinforce the DataComp dataset using our multi-modal… See the full description on the dataset page: https://huggingface.co/datasets/apple/DataCompDR-1B.Apples_HSI
Hyperspectral Imaging for Quality Assessment of Processed Foods: A Case Study on Sugar Content in Apple Jam
This repository accompanies our study on non-destructive sugar content estimation in apple jam using VNIR hyperspectral imaging (HSI) and machine learning. It includes a reproducible set of Jupyter notebooks covering preprocessing, dataset construction, and model training/evaluation with classical ML and deep learning.
Dataset
The Apples_HSI dataset is… See the full description on the dataset page: https://huggingface.co/datasets/issai/Apples_HSI.DataCompDR-12M
Dataset Card for DataCompDR-12M
This dataset contains synthetic captions, embeddings, and metadata for DataCompDR-12M.
The metadata has been generated using pretrained image-text models on a 12M subset of DataComp-1B.
For details on how to use the metadata, please visit our github repository.
The dataset with the original captions is now available at mlfoundations/DataComp-12M.
The UIDs per shards match between mlfoundations/DataComp-12M and apple/DataCompDR-12M.… See the full description on the dataset page: https://huggingface.co/datasets/apple/DataCompDR-12M.VR-egodex-apple-lerobotEgoDex dataset from https://github.com/apple/ml-egodex, converted to LeRobot datasets v3.0 format.
This repo is structured with train / test directories at the top level,
under each of which are multiple subdirectories, each corresponding to one directory in the original EgoDex data format.
Each of these represents one LeRobot dataset, so to load the full EgoDex training set you have to load each subdirectory
as its own LeRobotDataset and then combine them (e.g. w/ PyTorch's ConcatDataset), or… See the full description on the dataset page: https://huggingface.co/datasets/bi199797/VR-egodex-apple-lerobot.apple-app-store-labels-policiesGSM-Symbolic
GSM-Symbolic
This project accompanies the research paper, GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.
Getting Started
In our first release, we provide data for GSM-Symbolic, GSM-Symbolic-P1, and GSM-Symbolic-P2 variants. For each variant, we have released both templates (available on Github), and a sample of generated data that can be used for evaluation.
To load the data, you can use the following code. Note that in… See the full description on the dataset page: https://huggingface.co/datasets/apple/GSM-Symbolic.