init commit
Browse files- .gitattributes +1 -0
- conceptual_12m_indo.py +82 -0
- data/cc12m.jsonl +3 -0
.gitattributes
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*.mp3 filter=lfs diff=lfs merge=lfs -text
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*.ogg filter=lfs diff=lfs merge=lfs -text
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*.wav filter=lfs diff=lfs merge=lfs -text
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*.mp3 filter=lfs diff=lfs merge=lfs -text
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*.ogg filter=lfs diff=lfs merge=lfs -text
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*.wav filter=lfs diff=lfs merge=lfs -text
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*.jsonl filter=lfs diff=lfs merge=lfs -text
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conceptual_12m_indo.py
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# coding=utf-8
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# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Conceptual 12M dataset."""
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import datasets
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import ast
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import json
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_CITATION = """\
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@inproceedings{changpinyo2021cc12m,
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title = {{Conceptual 12M}: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts},
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author = {Changpinyo, Soravit and Sharma, Piyush and Ding, Nan and Soricut, Radu},
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booktitle = {CVPR},
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year = {2021},
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}
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"""
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_DESCRIPTION = """\
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Conceptual 12M is a large-scale dataset of 12 million
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image-text pairs specifically meant to be used for visionand-language pre-training.
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Its data collection pipeline is a relaxed version of the one used in Conceptual Captions 3M.
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"""
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_HOMEPAGE = "https://github.com/google-research-datasets/conceptual-12m"
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_LICENSE = """\
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The dataset may be freely used for any purpose, although acknowledgement of
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Google LLC ("Google") as the data source would be appreciated. The dataset is
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provided "AS IS" without any warranty, express or implied. Google disclaims all
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liability for any damages, direct or indirect, resulting from the use of the
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dataset.
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"""
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_URL = "https://huggingface.co/datasets/munggok/CC_12M_Indonesia/resolve/main/data/cc12m.jsonl"
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class Conceptual12M(datasets.GeneratorBasedBuilder):
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"""Conceptual 12M Indonesia dataset."""
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def _info(self):
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features = datasets.Features({"image_url": datasets.Value("string"), "caption": datasets.Value("string")})
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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file = dl_manager.download(_URL)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"file": file,
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},
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),
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]
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def _generate_examples(self, file):
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id_ = 0
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with open(file, "r", encoding="utf-8") as fi:
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for line in fi:
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if line:
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example = ast.literal_eval(line)
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yield id_, {"image_url": example['url'], "caption": example['caption']}
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id_ += 1
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data/cc12m.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4314733a42fa7cf45191cd9314e3c1583f8fabe7705c5c9663dcf1eafed8f2b
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size 3095287567
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