upload dataset script

brill_iconclass.py

@@ -0,0 +1,77 @@
+# Copyright 2022 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.
+"""Brill Iconclass AI Test Set data."""
+
+
+import json
+import os
+from PIL import Image
+import datasets
+
+_CITATION = """\
+@MISC{iconclass,
+title = {Brill Iconclass AI Test Set},
+author={Etienne Posthumus},
+year={2020}
+}
+"""
+
+
+_DESCRIPTION = """\
+A dataset for applying machine learning to collections described with the Iconclass classification system.
+"""
+
+_HOMEPAGE = "https://labs.brill.com/ictestset/"
+
+_LICENSE = "https://creativecommons.org/publicdomain/zero/1.0/"
+
+_URL = "https://labs.brill.com/ictestset/779ba2ca9e977c58d818e3823a676973.zip"
+
+class BrillIconclass(datasets.GeneratorBasedBuilder):
+    """Brill IconClass AI dataset"""
+
+    VERSION = datasets.Version("1.1.0")
+
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "image": datasets.Image(),
+                "label": [datasets.Value("string")]
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"data_json": os.path.join(data_dir, "data.json"), "data_dir": data_dir},
+            ),
+        ]
+
+    def _generate_examples(self, data_json, data_dir):
+        with open(data_json, encoding="utf-8") as f:
+            data = json.load(f)
+            for row, item in enumerate(data.items()):
+                filepath, labels = item
+                image = Image.open(os.path.join(data_dir, filepath))
+                yield row, {"image": image, "label": labels}

dataset_infos.json

@@ -0,0 +1 @@
+{"default": {"description": "A dataset for applying machine learning to collections described with the Iconclass classification system.\n", "citation": "@MISC{iconclass,\ntitle = {Brill Iconclass AI Test Set},\nauthor={Etienne Posthumus},\nyear={2020}\n}\n", "homepage": "https://labs.brill.com/ictestset/", "license": "https://creativecommons.org/publicdomain/zero/1.0/", "features": {"image": {"decode": true, "id": null, "_type": "Image"}, "label": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "brill_iconclass", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 19925506, "num_examples": 87744, "dataset_name": "brill_iconclass"}}, "download_checksums": {"https://labs.brill.com/ictestset/779ba2ca9e977c58d818e3823a676973.zip": {"num_bytes": 3295276816, "checksum": "96403cd3fdd34c71e4fa97078435350c244c9023af022cc3b8c2500cc13c684a"}}, "download_size": 3295276816, "post_processing_size": null, "dataset_size": 19925506, "size_in_bytes": 3315202322}}