fix

data/{1-Full-0.jpg → IQ.zip}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3cc4ac30df8ed4aa80338b51fdb92e9a4a4dda5aa96ae8425fce58a9dee2a868
-size 26717
+oid sha256:f4ff1dadedfd8595311eb4e0ff41611eb196a95a166d5997566f54123f738d70
+size 65830

metadata.jsonl

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

vrptest2.py

@@ -0,0 +1,99 @@
+# 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.zip" # 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"),
+            }
+        )
+
+        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):
+        idx = 0
+        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:
+                item = copy.deepcopy(item)
+                item["image"] = os.path.join(images_path,item["file_name"])
+                item["question"] = item["question"]
+                item["gt_answer"] = item["gt_answer"]
+
+                yield idx, item
+                idx += 1
+