This dataset has been generated using: from datasets import Dataset, DatasetDict

Create a very small dataset

data = { "text": [ "Hello, how are you?", "I am fine, thank you!", "Good morning!", "See you later!", ], "label": [0, 1, 0, 1], # Example binary labels }

Convert the data into a Hugging Face Dataset

dataset = Dataset.from_dict(data)

Split into train and test sets

dataset_dict = DatasetDict( { "train": dataset.select([0… See the full description on the dataset page: https://huggingface.co/datasets/flexsystems/flex-e2e-super-tiny-dataset.

This application is intended for use by the public to find voting information based on their address information. This application contains address data, voting districts, and polling places. This data has been shared publically. This mapping application is maintained by Bedford County GIS and should be maintained indefinitely.

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FlexTeam/ATC_NER_01 dataset hosted on Hugging Face and contributed by the HF Datasets community

[From The Landmap Project: Introduction, "http://www.landmap.ac.uk/background/intro.html"]

 A joint project to provide orthorectified satellite image mosaics of Landsat,
 SPOT and ERS radar data and a high resolution Digital Elevation Model for the
 whole of the UK. These data will be in a form which can easily be merged with
 other data, such as road networks, so that any user can quickly produce a
 precise map of their area of interest.

 Predominately aimed at the UK academic and educational sectors these data and
 software are held online at the Manchester University super computer facility
 where users can either process the data remotely or download it to their local
 network.

 Please follow the links to the left for more information about the project or
 how to obtain data or access to the radar processing system at MIMAS. Please
 also refer to the MIMAS spatial-side website,
 "http://www.mimas.ac.uk/spatial/", for related remote sensing materials.

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Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.