datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
OmaniArabicNMTPerformance: 'BLEU': 35.127, 'ChrF': 63.832
OmaniNMT is a parallel dataset composed of 8,000 sentences in Modern Standard Arabic and Omani Arabic. It is intended to be used for fine-tuning Neural Machine Translation models and Large Language Models for Omani Arabic.
Omani Arabic is a dialect of Arabic spoken in Oman.
This dataset was created and curated using a proprietary method developed by XRI Global which ensures coverage of a conceptual space when doing data collection. This method was… See the full description on the dataset page: https://huggingface.co/datasets/xri/OmaniArabicNMT.OmanSent
OmanSent
How to use
To access this dataset, you must first agree to the terms above and request access. Once your request is approved, you can load the dataset as follows:
from datasets import load_dataset
dataset = load_dataset("mktr/OmanSent")
dataset['train'][14]
Output example:
{
"answer": "طبعاً موجود بكثره ف المناطق البعيده مثل البلدان",
"sentiment": "neutral"
}
Note: Make sure you are logged in to your Hugging Face account (hf auth login) with an… See the full description on the dataset page: https://huggingface.co/datasets/mktr/OmanSent.OmaniArabicNMTPerformance: 'BLEU': 35.127, 'ChrF': 63.832
OmaniNMT is a parallel dataset composed of 8,000 sentences in Modern Standard Arabic and Omani Arabic. It is intended to be used for fine-tuning Neural Machine Translation models and Large Language Models for Omani Arabic.
Omani Arabic is a dialect of Arabic spoken in Oman.
This dataset was created and curated using a proprietary method developed by XRI Global which ensures coverage of a conceptual space when doing data collection. This method was… See the full description on the dataset page: https://huggingface.co/datasets/Naweeda/OmaniArabicNMT.