Update README.md

This repository hosts the dataset collected during the project, 'Deep Learning for Language Assessment', as detailed in the paper "Logging Keystrokes in Writing by English Leaners", to appear in the proceedings of LREC-COLING 2024.

The dataset is named **KUPA-KEYS** (King's College London & Université Paris Cité Keys). It contains texts written by 1,006 participants in our crowdsourcing study, recruited on Prolific. Task 1 involved a text-copy task; Task 2 involved essay writing in response to a 'Just for Fun' prompt from [Write & Improve](https://writeandimprove.com/), used with permission. Keystroke data for these texts are included in the dataset, as well as metadata and CEFR level grades for the free-text essays. Further details about the data collection process, annotation and analysis may be found in our LREC-COLING paper.

_Georgios Velentzas, Andrew Caines, Rita Borgo, Erin Pacquetet, Clive Hamilton, Taylor Arnold, Diane Nicholls, Paula Buttery, Thomas Gaillat, Nicolas Ballier and Helen Yannakoudakis_

README.md

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 license: cc-by-nc-sa-4.0
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+task_categories:
+- text-classification
+language:
+- en
+pretty_name: KUPA-KEYS
+size_categories:
+- 1K<n<10K
+---