Upload 3 files

docci.py

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+# coding=utf-8
+# Copyright 2022 the HuggingFace Datasets Authors.
+#
+# 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.
+
+import os
+import pandas as pd 
+import datasets
+from huggingface_hub import hf_hub_url
+
+_INPUT_CSV = "docci.csv"  # Update the CSV file name
+_INPUT_IMAGES = "docci_images"    # Update the images directory name
+_REPO_ID = "yonatanbitton/docci"         # Update the repository ID
+_SUFFIX = 'jpg'
+
+class Dataset(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.1.0")
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="docci", version=VERSION, description="Docci dataset"),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            features=datasets.Features({
+                "image_key": datasets.Value("string"),
+                "description": datasets.Value('string'),
+                "image": datasets.Image(),
+            }),
+            supervised_keys=None,  # Update or remove if your dataset is supervised
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # hf_auth_token = dl_manager.download_config.use_auth_token
+        # if hf_auth_token is None:
+        #     raise ConnectionError(
+        #         "Please set use_auth_token=True or use_auth_token='<TOKEN>' to download this dataset"
+        #     )
+
+        data_dir = dl_manager.download_and_extract({
+            "examples_csv": hf_hub_url(repo_id=_REPO_ID, repo_type='dataset', filename=_INPUT_CSV),
+            "images_dir": hf_hub_url(repo_id=_REPO_ID, repo_type='dataset', filename=f"{_INPUT_IMAGES}.zip")
+        })
+
+        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs=data_dir)]
+
+    def _generate_examples(self, examples_csv, images_dir):
+        """Yields examples."""
+        df = pd.read_csv(examples_csv)
+
+        for r_idx, r in df.iterrows():
+            image_path = os.path.join(images_dir, _INPUT_IMAGES, f"{r['image_key']}.{_SUFFIX}")  
+            yield r_idx, {
+                "image_key": r['image_key'],
+                "description": r['description'],
+                "image": image_path
+            }

docci_images.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b4171c3f5c95714110e3e88a3acbad8c08ecc38dd499940a1ae744badd96838f
+size 2142178846