Convert dataset to Parquet (#6)

- Convert dataset to Parquet (549f3f3dcb3fe79b4bbec869f70187263a367aa2)
- Delete loading script (6af36b6a7416cc8305733ba8eaba92553944daf4)
- Delete legacy dataset_infos.json (b576b3e6c26a71e81dec378258f754bcaaf619a7)

README.md

@@ -7,7 +7,6 @@ license:
 - cc0-1.0
 multilinguality:
 - other-iconclass-metadata
-pretty_name: 'Brill Iconclass AI Test Set '
 size_categories:
 - 10K<n<100K
 source_datasets: []
@@ -19,9 +18,27 @@ task_ids:
 - multi-class-image-classification
 - multi-label-image-classification
 - image-captioning
+pretty_name: 'Brill Iconclass AI Test Set '
 tags:
 - lam
 - art
+dataset_info:
+  features:
+  - name: image
+    dtype: image
+  - name: label
+    list: string
+  splits:
+  - name: train
+    num_bytes: 3281967920.848
+    num_examples: 87744
+  download_size: 3313602175
+  dataset_size: 3281967920.848
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for Brill Iconclass AI Test Set

brill_iconclass.py

@@ -1,75 +0,0 @@
-# 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://iconclass.org/testset/"
-
-_LICENSE = "https://creativecommons.org/publicdomain/zero/1.0/"
-
-_URL = "https://iconclass.org/testset/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
-                yield row, {"image": os.path.join(data_dir, filepath), "label": labels}

data/train-00000-of-00007.parquet

@@ -0,0 +1,3 @@
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+size 472326297

data/train-00001-of-00007.parquet

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+size 472468413

data/train-00002-of-00007.parquet

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+size 473253371

data/train-00003-of-00007.parquet

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+size 473043138

data/train-00004-of-00007.parquet

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+size 473479736

data/train-00005-of-00007.parquet

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+size 474363785

data/train-00006-of-00007.parquet

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+size 474667435

dataset_infos.json

@@ -1 +0,0 @@
-{"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://iconclass.org/testset/", "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://iconclass.org/testset/779ba2ca9e977c58d818e3823a676973.zip": {"num_bytes": 3295276816, "checksum": "96403cd3fdd34c71e4fa97078435350c244c9023af022cc3b8c2500cc13c684a"}}, "download_size": 3295276816, "post_processing_size": null, "dataset_size": 19925506, "size_in_bytes": 3315202322}}