app
Datasets
All datasets matching “app”pretraining_v1-omega_bookspeacock-data-public-datasets-idcDataCompDR-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.pretraining_v1-omegaappsAPPS is a benchmark for Python code generation, it includes 10,000 problems, which range from having simple oneline solutions to being substantial algorithmic challenges, for more details please refer to this paper: https://arxiv.org/pdf/2105.09938.pdf.open-apply-jobs
Open-Apply Jobs
A daily-refreshed open dataset of active job postings sourced directly from public ATS APIs (Greenhouse, Lever, Ashby). Every record can be traced back to the hiring company's own career board.
Refresh: automated daily at 06:00 UTC
Partitioning: Hive-partitioned Parquet (date=YYYY-MM-DD/source={ats})
Source code: https://github.com/edwarddgao/openapply
Usage
from datasets import load_dataset
ds = load_dataset('edwarddgao/open-apply-jobs')
#… See the full description on the dataset page: https://huggingface.co/datasets/edwarddgao/open-apply-jobs.
