Datasets:
Tasks:
Image-to-Text
Sub-tasks:
image-captioning
Languages:
English
Multilinguality:
monolingual
Size Categories:
1M<n<10M
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Tags:
License:
| # coding=utf-8 | |
| # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. | |
| # | |
| # 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. | |
| """SBU Captioned Photo Dataset""" | |
| import json | |
| import datasets | |
| _CITATION = """\ | |
| @inproceedings{NIPS2011_5dd9db5e, | |
| author = {Ordonez, Vicente and Kulkarni, Girish and Berg, Tamara}, | |
| booktitle = {Advances in Neural Information Processing Systems}, | |
| editor = {J. Shawe-Taylor and R. Zemel and P. Bartlett and F. Pereira and K.Q. Weinberger}, | |
| pages = {}, | |
| publisher = {Curran Associates, Inc.}, | |
| title = {Im2Text: Describing Images Using 1 Million Captioned Photographs}, | |
| url = {https://proceedings.neurips.cc/paper/2011/file/5dd9db5e033da9c6fb5ba83c7a7ebea9-Paper.pdf}, | |
| volume = {24}, | |
| year = {2011} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| The SBU Captioned Photo Dataset is a collection of over 1 million images with associated text descriptions extracted from Flicker. | |
| """ | |
| _LICENSE = "unknown" | |
| _HOMEPAGE = "https://www.cs.rice.edu/~vo9/sbucaptions/" | |
| _URL = "https://www.cs.rice.edu/~vo9/sbucaptions/sbu-captions-all.tar.gz" | |
| _FEATURES = datasets.Features( | |
| {"image_url": datasets.Value("string"), "user_id": datasets.Value("string"), "caption": datasets.Value("string")} | |
| ) | |
| _MAP_SBU_FEATURES_TO_DATASETS_FEATURES = {"image_urls": "image_url", "user_ids": "user_id", "captions": "caption"} | |
| class SBUCaptionedPhotoDatasetConfig(datasets.BuilderConfig): | |
| """BuilderConfig for SBU Captioned Photo dataset.""" | |
| VERSION = datasets.Version("0.0.0") | |
| def __init__(self, version=None, *args, **kwargs): | |
| super().__init__( | |
| version=version or self.VERSION, | |
| *args, | |
| **kwargs, | |
| ) | |
| class SBUCaptionedPhotoDataset(datasets.GeneratorBasedBuilder): | |
| """SBU Captioned Photo dataset.""" | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=_FEATURES, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager: datasets.DownloadManager): | |
| archive = dl_manager.download(_URL) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "files": dl_manager.iter_archive(archive), | |
| }, | |
| ) | |
| ] | |
| def _generate_examples(self, files): | |
| annotations = None | |
| for path, f in files: | |
| if path.endswith("sbu-captions-all.json"): | |
| annotations = json.loads(f.read().decode("utf-8")) | |
| break | |
| # Sanity checks | |
| assert annotations is not None | |
| nb_samples = len(annotations[next(iter(annotations.keys()))]) | |
| assert all(len(values) == nb_samples for values in annotations.values()) | |
| keys = tuple(annotations.keys()) | |
| for idx in range(nb_samples): | |
| yield idx, {_MAP_SBU_FEATURES_TO_DATASETS_FEATURES[key]: annotations[key][idx] for key in keys} | |