Upload encyclopaedia_britannica.py

encyclopaedia_britannica.py

@@ -0,0 +1,76 @@
+# 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.
+"""TODO"""
+
+import os
+import pandas as pd
+import datasets
+from PIL import Image
+
+# TODO: Add BibTeX citation
+# Find for instance the citation on arxiv or on the dataset repo/website
+_CITATION = """TODO"""
+
+
+_DESCRIPTION = """\
+TODO"""
+
+_HOMEPAGE = "TODO"
+
+_LICENSE = "Public Domain"
+
+
+class EncyclopaediaBritannica(datasets.GeneratorBasedBuilder):
+    """TODO: Short description of my dataset."""
+
+    VERSION = datasets.Version("1.1.0")
+
+    def _info(self):
+
+        features = datasets.Features(
+            {
+                "metadata": datasets.Value("string"),
+                "image": datasets.Image(),
+                "label": datasets.ClassLabel(names=["text-only", "illustrated"]),
+            }
+        )
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        df = pd.read_csv("annotations.csv", low_memory=False)
+        df = df[df["choice"].notna()]
+        df = df[["meta", "choice", "image"]]
+        annotations = df.to_dict(orient="records")
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "annotations": annotations,
+                },
+            ),
+        ]
+
+    def _generate_examples(self,  annotations):
+        for id_, row in enumerate(annotations):
+            row["image"] = row.pop("image")
+            row["metadata"] = row.pop("meta")
+            row["label"] = row.pop("choice")
+            yield id_, row