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Arabic-Clip/Arabic_3M_5M_ViT-B-16-SigLIP-512

Loading the training split as follows: from datasets import load_dataset ds_train = load_dataset("Arabic-Clip/Arabic_3M_5M_ViT-B-16-SigLIP-512", split="train") ds_train # Dataset({ # features: ['index', 'url', 'en_caption', 'embeddings_en', 'caption_ar'], # num_rows: 2000000 # }) Loading the validation split as follows: from datasets import load_dataset ds_validation = load_dataset("Arabic-Clip/Arabic_3M_5M_ViT-B-16-SigLIP-512", split="validation")… See the full description on the dataset page: https://huggingface.co/datasets/Arabic-Clip/Arabic_3M_5M_ViT-B-16-SigLIP-512.

sourceHugging Faceupdated 2y agoView on Hugging Face
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Loading the training split as follows:

py
from datasets import load_dataset

ds_train = load_dataset("Arabic-Clip/Arabic_3M_5M_ViT-B-16-SigLIP-512", split="train")

ds_train

# Dataset({
#     features: ['index', 'url', 'en_caption', 'embeddings_en', 'caption_ar'],
#     num_rows: 2000000
# })

Loading the validation split as follows:

py
from datasets import load_dataset

ds_validation = load_dataset("Arabic-Clip/Arabic_3M_5M_ViT-B-16-SigLIP-512", split="validation")

ds_validation

# Dataset({
#     features: ['index', 'url', 'en_caption', 'embeddings_en', 'caption_ar'],
#     num_rows: 5000
# })