real-time
audio_alltimeTIME-OutputThis repository contains the extracted time series features (tsfeatures) for each variate and the detailed forecasting results for every experiment.
Note: These files are for building leaderboard and visualization; users do not need to download this directory.
features/: Statistical Features (tsfeatures)
Each dataset's features are saved to: output/features/{dataset}/{freq}/.
This directory stores the computed tsfeatures for the variates in the dataset. The folder contains a CSV file… See the full description on the dataset page: https://huggingface.co/datasets/Real-TSF/TIME-Output.code_alltime
RealTimeData Monthly Collection - Github Code
This datasets provides the monthly screenshots of the 500 cherry-picked open source projects on GitHub from 2017 to current.
To access articles in a specific month, simple run the following:
ds = datasets.load_dataset('RealTimeData/code_alltime', '2020-02')
This will give you the 2020-02 version of the 500 selected GitHub repos that were just updated in 2020-02.
Want to crawl the data by your own?
Please head to… See the full description on the dataset page: https://huggingface.co/datasets/RealTimeData/code_alltime.bbc_news_alltime
RealTimeData Monthly Collection - BBC News
This datasets contains all news articles from BBC News that were created every months from 2017 to current.
To access articles in a specific month, simple run the following:
ds = datasets.load_dataset('RealTimeData/bbc_news_alltime', '2020-02')
This will give you all BBC news articles that were created in 2020-02.
Want to crawl the data by your own?
Please head to LatestEval for the crawler scripts.
Credit… See the full description on the dataset page: https://huggingface.co/datasets/RealTimeData/bbc_news_alltime.bbc_images_alltime
RealTimeData Monthly Collection - BBC News Images
This datasets contains all news articles head images from BBC News that were created every months from 2017 to current.
To access articles in a specific month, simple run the following:
ds = datasets.load_dataset('RealTimeData/bbc_images_alltime', '2020-02')
This will give you all BBC news head images that were created in 2020-02.
Want to crawl the data by your own?
Please head to LatestEval for the crawler… See the full description on the dataset page: https://huggingface.co/datasets/RealTimeData/bbc_images_alltime.arxiv_alltime
RealTimeData Monthly Collection - ArXiv
This datasets contains selected papers from arXiv that were created every months from 2017 to current.
To access papers in a specific month, simple run the following:
ds = datasets.load_dataset('RealTimeData/arxiv_alltime', '2020-02')
This will give you about 1k selected papers that were created in 2020-02.
Want to crawl the data by your own?
Please head to LatestEval for the crawler scripts.
Credit
This is… See the full description on the dataset page: https://huggingface.co/datasets/RealTimeData/arxiv_alltime.