license:mit size_categories:10K<n<100K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
license: mit
dataset_info:
  features:
  - name: instruction
    dtype: string
  - name: input
    dtype: string
  - name: output
    dtype: string
  splits:
  - name: train
    num_bytes: 45610906
    num_examples: 45622
  download_size: 22741632
  dataset_size: 45610906
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---


# This Dataset 
The dataset is a machine translated copy of the [yahma/alpaca-cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned) which is widely used 
as an example of LLM instruction tuning. 
The original dataset is around 52k rows while translation missed a number of rows leaving around 45k rows.  
While the dataset can be used to test instruction fine-tuning in Arabic (I used it as a sanity check), it shoud be underlined that it is machine translated 
(issues of accuracy) and some examples do not even make sense when translated, let alone relevance to Arabic context. 