| --- |
| 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. |
|
|
