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| # Copyright 2022 The HuggingFace Datasets Authors. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| """NoCaps loading script.""" | |
| import json | |
| from collections import defaultdict | |
| import datasets | |
| _CITATION = """\ | |
| @inproceedings{agrawal2019nocaps, | |
| title={nocaps: novel object captioning at scale}, | |
| author={Agrawal, Harsh and Desai, Karan and Wang, Yufei and Chen, Xinlei and Jain, Rishabh and Johnson, Mark and Batra, Dhruv and Parikh, Devi and Lee, Stefan and Anderson, Peter}, | |
| booktitle={Proceedings of the IEEE International Conference on Computer Vision}, | |
| pages={8948--8957}, | |
| year={2019} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| Dubbed NoCaps, for novel object captioning at scale, NoCaps consists of 166,100 human-generated captions describing 15,100 images from the Open Images validation and test sets. | |
| The associated training data consists of COCO image-caption pairs, plus Open Images image-level labels and object bounding boxes. | |
| Since Open Images contains many more classes than COCO, nearly 400 object classes seen in test images have no or very few associated training captions (hence, nocaps). | |
| """ | |
| _HOMEPAGE = "https://nocaps.org/" | |
| _LICENSE = "CC BY 2.0" | |
| _URLS = { | |
| "validation": "https://nocaps.s3.amazonaws.com/nocaps_val_4500_captions.json", | |
| "test": "https://s3.amazonaws.com/nocaps/nocaps_test_image_info.json", | |
| } | |
| class NoCaps(datasets.GeneratorBasedBuilder): | |
| VERSION = datasets.Version("1.0.0") | |
| def _info(self): | |
| features = datasets.Features( | |
| { | |
| "image": datasets.Image(), | |
| "image_coco_url": datasets.Value("string"), | |
| "image_date_captured": datasets.Value("string"), | |
| "image_file_name": datasets.Value("string"), | |
| "image_height": datasets.Value("int32"), | |
| "image_width": datasets.Value("int32"), | |
| "image_id": datasets.Value("int32"), | |
| "image_license": datasets.Value("int8"), | |
| "image_open_images_id": datasets.Value("string"), | |
| "annotations_ids": datasets.Sequence(datasets.Value("int32")), | |
| "annotations_captions": datasets.Sequence(datasets.Value("string")), | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| data_file = dl_manager.download_and_extract(_URLS) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, | |
| gen_kwargs={ | |
| "data_file": data_file["validation"], | |
| }, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={ | |
| "data_file": data_file["test"], | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, data_file): | |
| with open(data_file, encoding="utf-8") as f: | |
| data = json.load(f) | |
| annotations = defaultdict(list) | |
| if "annotations" in data: | |
| # Only present for the validation split | |
| for ann in data["annotations"]: | |
| image_id = ann["image_id"] | |
| caption_id = ann["id"] | |
| caption = ann["caption"] | |
| annotations[image_id].append((caption_id, caption)) | |
| counter = 0 | |
| for im in data["images"]: | |
| image_coco_url = im["coco_url"] | |
| image_date_captured = im["date_captured"] | |
| image_file_name = im["file_name"] | |
| image_height = im["height"] | |
| image_width = im["width"] | |
| image_id = im["id"] | |
| image_license = im["license"] | |
| image_open_images_id = im["open_images_id"] | |
| yield counter, { | |
| "image": image_coco_url, | |
| "image_coco_url": image_coco_url, | |
| "image_date_captured": image_date_captured, | |
| "image_file_name": image_file_name, | |
| "image_height": image_height, | |
| "image_width": image_width, | |
| "image_id": image_id, | |
| "image_license": image_license, | |
| "image_open_images_id": image_open_images_id, | |
| "annotations_ids": [ann[0] for ann in annotations[image_id]], | |
| "annotations_captions": [ann[1] for ann in annotations[image_id]], | |
| } | |
| counter += 1 | |