Kptimes Text Dataset with US Region Focus

Text dataset from the Kptimes collection, created by author midas and last updated in February 2022. The dataset is tagged with a size category of 100K-1M entries and a US region focus, but specific row and column counts are unknown.

Use Cases

• Perform text analysis on the dataset's content, leveraging its 'text' modality tag.
• Explore regional patterns in the data, given the 'us' region tag associated with the dataset.
• Utilize the dataset for machine learning tasks, as indicated by its 'Librarymlcroissant' and 'Librarydatasets' tags.

Strengths

• The dataset is categorized within a substantial size range of 100,000 to 1,000,000 entries.
• It is explicitly tagged for a specific geographic region (US), providing spatial context.
• The dataset is formatted for machine learning use, indicated by the 'Librarymlcroissant' and 'Librarydatasets' tags.

Limitations

• The exact number of rows, columns, and file structure is unknown, limiting precise assessment of scale and features.
• The data's recency is limited, with the last update recorded over two years ago in early 2022.
• The absence of a sample or column descriptions prevents evaluation of data quality, schema, and potential biases.

Provenance

Source

huggingface

Freshness

Last updated on 2022-02-06.

Geography

United States (based on 'us' region tag)