metadata
license: apache-2.0
task_categories:
- text-classification
- text-generation
language:
- en
tags:
- education
pretty_name: fine_grained_error_analysis
size_categories:
- 1K<n<10K
Dataset Description
Dataset Summary
The Fine-grained Error ANalysis for English Learners (FEANEL) dataset aims to advance research in fine-grained error analysis. The benchmark includes a large-scale dataset of 1,000 essays written by K-12 students, with 500 essays from elementary school students and 500 from secondary school students, covering a wide range of age groups and proficiency levels. Each error analysis has been meticulously annotated with an error type, severity level, and explanation, guided by a taxonomy co-developed with language education experts.