README.md

---
license: cc-by-nc-4.0
task_categories:
- text-generation
- question-answering
language:
- es
tags:
- instruction tuning
size_categories:
- 10K<n<100K
---

###  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",
}
```