Update README.md

README.md

@@ -1,3 +1,44 @@
 ---
 license: cc-by-nc-4.0
+task_categories:
+- text-generation
+- question-answering
+language:
+- es
+tags:
+- instruction tuning
 ---
+
+###  Data Description
+
+This HF data repository contains the Spanish Alpaca dataset used in our study of monolingual versus multilingual instruction tuning.
+* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
+* [Paper](https://arxiv.org/abs/2309.08958)
+
+#### Creation
+* Machine-translated from [yahma/alpaca-cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned) into Spanish.
+
+#### Usage
+* This data is intended to be used for Spanish instruction tuning.
+* The dataset has roughly 52K instances in the JSON format.
+* Each instance has an instruction, an output, and an optional input. An example is shown below:
+```
+{
+"instruction": "Cuáles son los tres colores primarios?",
+"input": "",
+"output": "Los tres colores primarios son rojo, azul y amarillo. Estos colores se llaman primarios porque no pueden ser creados mezclando otros colores y todos los otros colores se pueden hacer combinando en varias proporciones. En el sistema de color aditivo, utilizado para la luz, los colores primarios son rojo, verde y azul (RGB)."
+}
+```
+
+#### Known issues
+* The machine translation process might have corrupted data containing code, cross-lingual tasks, grammatical error correction tasks, etc.
+
+#### Citation
+```
+@inproceedings{chen-etal-2024-monolingual,
+  title="Monolingual or multilingual instruction tuning: Which makes a better {Alpaca}",
+  author="Pinzhen Chen and Shaoxiong Ji and Nikolay Bogoychev and Andrey Kutuzov and Barry Haddow and Kenneth Heafield",
+  year="2024",
+  booktitle = "Findings of the Association for Computational Linguistics: EACL 2024",
+}
+```