# Feedback Prize - English Language Learning — Data

来源：https://www.kaggle.com/competitions/feedback-prize-english-language-learning/data

采集时间：2026-10-19T19:57:41Z

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**Update**

  

You may read more about Feedback Prize 3.0 data from the following publication:

-   Crossley, S. A., Tian, Y., Baffour, P., Franklin, A., Kim, Y., Morris, W., Benner, B., Picou, A., & Boser, U. (2023). Measuring second language proficiency using the English Language Learner Insight, Proficiency and Skills Evaluation (ELLIPSE) Corpus.  _International Journal of Learner Corpus Research, 9_ (2), 248-269. [[link](https://zenodo.org/records/11217937 "https://zenodo.org/records/11217937")]

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The dataset presented here (the ELLIPSE corpus) comprises argumentative essays written by 8th-12th grade English Language Learners (ELLs). The essays have been scored according to six analytic measures: **cohesion**, **syntax**,  **vocabulary**, **phraseology**, **grammar**, and **conventions**.

Each measure represents a component of proficiency in essay writing, with greater scores corresponding to greater proficiency in that measure. The scores range from `1.0` to `5.0` in increments of `0.5`. Your task is to predict the score of each of the six measures for the essays given in the test set.

Some of these essays have appeared in the datasets for the [**Feedback Prize - Evaluating Student Writing**](https://www.kaggle.com/competitions/feedback-prize-2021/data) and [**Feedback Prize - Predicting Effective Arguments**](https://www.kaggle.com/competitions/feedback-prize-effectiveness/data) competitions. You are welcome to make use of these earlier datasets in this competition.

## File and Field Information ##

- **train.csv** - The training set, comprising the `full_text` of each essay, identified by a unique `text_id`. The essays are also given a score for each of the seven analytic measures above: `cohesion`, etc. These analytic measures comprise the target for the competition.
- **test.csv** - For the test data we give only the `full_text` of an essay together with its `text_id`.
- **sample_submission.csv** - A submission file in the correct format. See the [**Evaluation**](https://www.kaggle.com/competitions/feedback-prize-english-language-learning/overview/evaluation) page for details.

Please note that this is a [**Code Competition**](https://www.kaggle.com/competitions/feedback-prize-english-language-learning/overview/code-requirements). We give a few sample essays in `test.csv` to help you author your solutions. When your submission is scored, this example test data will be replaced with the full test set. **The full test set comprises about 2700 essays.**