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---
language:
- arb
license: apache-2.0
multilinguality:
- monolingual
size_categories:
- 5k<n<10k
source_datasets:
- CohereForAI/aya_dataset
task_categories:
- other
task_ids: []
pretty_name: Arabic Aya Dataset
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: annotation_type
dtype: string
splits:
- name: train
num_bytes: 4970717
num_examples: 4995
- name: test
num_bytes: 225650
num_examples: 250
download_size: 2590571
dataset_size: 5196367
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
tags: []
---
# Arabic aya dataset
This dataset is the arabic partition of the `CohereForAI/aya_dataset` dataset.
For more information about the dataset, visit the original dataset repo: [CohereForAI/aya_dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset).
the data was extracted using this simple code:
```python
# Train split.
aya_train = datasets.load_dataset("CohereForAI/aya_dataset", split="train")
arb_train = aya_train.filter(lambda x: x["language_code"] == "arb")
arb_train = arb_train.remove_columns(["language_code", "user_id"])
# Test split.
aya_test = datasets.load_dataset("CohereForAI/aya_dataset", split="test")
arb_test = aya_test.filter(lambda x: x["language_code"] == "arb")
arb_test = arb_test.remove_columns(["language_code", "user_id"])
# create dataset dictionary.
arabic_aya = datasets.DatasetDict({
"train":arb_train,
"test":arb_test
})
# Upload to hf hub.
arabic_aya.push_to_hub("abuelnasr/cohere_aya_arabic")
```
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