Datasets:
Tasks:
Image-to-Text
Sub-tasks:
image-captioning
Languages:
English
Multilinguality:
monolingual
Size Categories:
10M<n<100M
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
ArXiv:
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. | |
| """Conceptual 12M dataset.""" | |
| import datasets | |
| _CITATION = """\ | |
| @inproceedings{changpinyo2021cc12m, | |
| title = {{Conceptual 12M}: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts}, | |
| author = {Changpinyo, Soravit and Sharma, Piyush and Ding, Nan and Soricut, Radu}, | |
| booktitle = {CVPR}, | |
| year = {2021}, | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| Conceptual 12M is a large-scale dataset of 12 million | |
| image-text pairs specifically meant to be used for visionand-language pre-training. | |
| Its data collection pipeline is a relaxed version of the one used in Conceptual Captions 3M. | |
| """ | |
| _HOMEPAGE = "https://github.com/google-research-datasets/conceptual-12m" | |
| _LICENSE = """\ | |
| The dataset may be freely used for any purpose, although acknowledgement of | |
| Google LLC ("Google") as the data source would be appreciated. The dataset is | |
| provided "AS IS" without any warranty, express or implied. Google disclaims all | |
| liability for any damages, direct or indirect, resulting from the use of the | |
| dataset. | |
| """ | |
| _URL = "https://storage.googleapis.com/conceptual_12m/cc12m.tsv" | |
| class Conceptual12M(datasets.GeneratorBasedBuilder): | |
| """Conceptual 12M dataset.""" | |
| def _info(self): | |
| features = datasets.Features({"image_url": datasets.Value("string"), "caption": datasets.Value("string")}) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| file = dl_manager.download(_URL) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "file": file, | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, file): | |
| with open(file, "r", encoding="utf-8") as fi: | |
| for idx, line in enumerate(fi): | |
| image_url, caption = line.split("\t", maxsplit=1) | |
| yield idx, {"image_url": image_url, "caption": caption} | |