fix

data/IQ/test/result.jsonl

@@ -1,3 +0,0 @@
-{"imgname": "1-Full-0.jpg", "question": "Select the missing image.", "gt_answer": "f", "qid": "1"}
-{"imgname": "1-Full-1.jpg", "question": "Select the missing image.", "gt_answer": "f", "qid": "2"}
-{"imgname": "2-Full-0.jpg", "question": "Select the missing image.", "gt_answer": "e", "qid": "3"}

metadata.csv

@@ -0,0 +1,4 @@
+imgname,question,gt_answer,qid
+1-Full-0.jpg,Select the missing image.,f,1
+1-Full-1.jpg,Select the missing image.,f,2
+2-Full-0.jpg,Select the missing image.,e,3

vrptest2.py

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