| import datasets | |
| _CITATION = """\ | |
| @InProceedings{huggingface:dataset, | |
| title = {Small image-text set}, | |
| author={James Briggs}, | |
| year={2022} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| Demo dataset for testing or showing image-text capabilities. | |
| """ | |
| _HOMEPAGE = "https://huggingface.co/datasets/jamescalam/image-text-demo" | |
| _LICENSE = "" | |
| _URL="https://huggingface.co/datasets/aadhiya/image-test/resolve/main/images.tar.gz" | |
| _REPO = "https://huggingface.co/datasets/jamescalam/image-text-demo" | |
| descriptions=[ | |
| "BotPeg Dance", | |
| "BotPeg Dance", | |
| "BotPeg Excited", | |
| "BotPeg Excited", | |
| "BotPeg Fight", | |
| "BotPeg Funny", | |
| "BotPeg Funny", | |
| "BotPeg Funny", | |
| "BotPeg Love", | |
| "BotPeg Mad", | |
| "BotPeg Sad", | |
| "BotPeg Scared", | |
| "BotPeg Shy", | |
| "BotPeg Thinking", | |
| "BotPeg Thinking", | |
| "BotPeg Winner", | |
| "BotPeg Worried", | |
| ] | |
| class ImageSet(datasets.GeneratorBasedBuilder): | |
| """Small sample of image-text pairs""" | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| 'text': datasets.Value("string"), | |
| 'image': datasets.Image(), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| path=dl_manager.download(_URL) | |
| image_iters=dl_manager.iter_archive(path) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "images": image_iters | |
| } | |
| ), | |
| ] | |
| def _generate_examples(self, images): | |
| """ This function returns the examples in the raw (text) form.""" | |
| idx=0 | |
| for filepath,image in images: | |
| yield idx,{ | |
| "image":{"path":filepath,"bytes":image.read()}, | |
| "text":descriptions[idx] | |
| } | |
| idx+=1 | |