Student Writing Evaluation Dataset from Kaggle Competition

This dataset originates from the Evaluating Student Writing Kaggle competition. It contains text data for evaluating student writing, contributed by author carbon12 and last updated in March 2022. The specific row count, column structure, and file formats are not detailed in the provided input.

Use Cases

• Train a text classification model to score student writing based on competition-defined evaluation criteria.
• Analyze writing patterns and features within the text data to understand common student writing traits.
• Benchmark automated essay scoring systems using the competition's task framework and data.

Strengths

• Data is sourced from a structured Kaggle competition, providing a clear task definition.
• The dataset is categorized under the 'text' modality, indicating a focus on natural language data.
• It is tagged with a size category of '10K<n<100K', suggesting a moderate scale of between 10,000 and 100,000 instances.

Limitations

• The specific column names, sample data, and total row count are unknown, limiting initial assessment.
• The dataset's last known update was in March 2022, which may affect temporal relevance for current models.
• Geographic and demographic coverage of the student writing samples is unspecified, potentially limiting generalizability.

Provenance

Source

Kaggle competition 'Evaluating Student Writing'.

Collection Method

Collected for a specific data science competition.

Freshness

Last updated on 2022-03-13.

Geography

Tagged with 'Region:us', suggesting a United States focus.