fix
Browse files- data/IQ/test/result.jsonl +0 -3
- metadata.csv +4 -0
- vrptest2.py +0 -105
data/IQ/test/result.jsonl
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{"imgname": "1-Full-0.jpg", "question": "Select the missing image.", "gt_answer": "f", "qid": "1"}
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{"imgname": "1-Full-1.jpg", "question": "Select the missing image.", "gt_answer": "f", "qid": "2"}
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{"imgname": "2-Full-0.jpg", "question": "Select the missing image.", "gt_answer": "e", "qid": "3"}
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metadata.csv
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imgname,question,gt_answer,qid
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1-Full-0.jpg,Select the missing image.,f,1
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1-Full-1.jpg,Select the missing image.,f,2
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2-Full-0.jpg,Select the missing image.,e,3
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vrptest2.py
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# Builder script
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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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# GNU GENERAL PUBLIC LICENSE
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# Version 3, 29 June 2007
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#
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# Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
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# Everyone is permitted to copy and distribute verbatim copies
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# of this license document, but changing it is not allowed.
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"""VRP2 dataset"""
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import copy
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import json
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import os
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import pandas as pd
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import datasets
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from datasets import load_dataset
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_CITATION = """\
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@article{vp2r2022jjk,
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title={xxxxx},
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author={test1},
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journal={arXiv preprint arXiv:2203.10981},
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year={2022}
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}
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"""
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_DESCRIPTION = """\
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yhello
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"""
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_LICENSE = "GNU General Public License v3.0"
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_SPLITS = ["test"]
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_URL = "https://huggingface.co/datasets/mujif/vrptest2/resolve/main/data/IQ" # todo
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class ChartQA(datasets.GeneratorBasedBuilder):
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def _info(self):
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features = datasets.Features(
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{
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"imgname": datasets.Value("string"),
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"image": datasets.Image(),
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"question": datasets.Value("string"),
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"gt_answer": datasets.Value("string"),
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"qid": datasets.Value("string"),
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}
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)
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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supervised_keys=None,
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license=_LICENSE,
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)
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def _split_generators(self, dl_manager):
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# downloaded_file = dl_manager.download_and_extract(_URL) + "/ChartQA Dataset"
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downloaded_file = dl_manager.download_and_extract(_URL)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"images_path": downloaded_file + "/test",
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"img_anno_path": downloaded_file + "/test/result.jsonl",
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},
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),
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]
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def _generate_examples(self, img_anno_path:str ,images_path: str):
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with open(img_anno_path, "r", encoding="utf-8") as f:
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data = json.load(f)
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#returns the examples in the raw in json file
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for item in data:
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imgname = item["imgname"]
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image = os.path.join(images_path,item["imgname"])
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question = item["question"]
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gt_answer = item["gt_answer"]
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qid = item["qid"]
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yield qid, {
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"imgname": imgname,
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"image": image,
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"question": question,
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"qid": qid,
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"gt_answer": gt_answer,
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}
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