Metadata for the SCoCESLE learner corpus: a collection of learner essays annotated with learner background and proficiency.
This repository holds the metadata spreadsheet describing 307 learner essays, including essay prompts, learner L1, CEFR proficiency level, and demographics. It accompanies work on a "problem of computational linguistics" act (акт проблемы комплинг).
| File | Description |
|---|---|
SCoCESLE-metadata-spreadsheet.csv |
307 rows × 11 columns of essay metadata. |
SCoCESLE_metadata_spreadsheet.xls |
The same spreadsheet in legacy Excel format. |
| Column | Meaning |
|---|---|
Essay ID |
Unique essay identifier (e.g. 01b.txt) |
Total number of word types |
Type count |
Total number of word tokens |
Token count |
Essay type/topic |
Essay sub-type/prompt letter |
Essay question |
Full prompt text |
Course |
Course the essay was written for (e.g. IELTS Preparation) |
L1 |
Learner's first language (e.g. Colombian Spanish) |
CEFR level as per course being studied |
Proficiency (e.g. B2) |
Gender |
Learner gender |
Year of birth |
Learner birth year |
import pandas as pd
df = pd.read_csv("SCoCESLE-metadata-spreadsheet.csv")
print(df[["Essay ID", "L1", "CEFR level as per course being studied"]].head())Research use. The corpus metadata is provided for academic purposes; please contact the author before redistribution.