Convert dataset to Parquet (#5)

- Convert dataset to Parquet (d458b717d277f324b15baa368565d122fd0e77c7)
- Delete loading script (b21d907637a1ff51f14d8f6abddf7e82776e4eb9)
- Delete legacy dataset_infos.json (29265e63b2835817e3847f35df500e9f006da800)

README.md

@@ -33,16 +33,25 @@ dataset_info:
           '2': healthy
   splits:
   - name: train
-    num_bytes: 382110
+    num_bytes: 143762054.662
     num_examples: 1034
   - name: validation
-    num_bytes: 49711
+    num_bytes: 18515527.0
     num_examples: 133
   - name: test
-    num_bytes: 46584
+    num_bytes: 17720308.0
     num_examples: 128
-  download_size: 180024906
-  dataset_size: 478405
+  download_size: 179978834
+  dataset_size: 179997889.662
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
 ---
 
 # Dataset Card for Beans

beans.py

@@ -1,102 +0,0 @@
-# coding=utf-8
-# Copyright 2021 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.
-"""Beans leaf dataset with images of diseased and health leaves."""
-
-import os
-
-import datasets
-from datasets.tasks import ImageClassification
-
-
-_HOMEPAGE = "https://github.com/AI-Lab-Makerere/ibean/"
-
-_CITATION = """\
-@ONLINE {beansdata,
-    author="Makerere AI Lab",
-    title="Bean disease dataset",
-    month="January",
-    year="2020",
-    url="https://github.com/AI-Lab-Makerere/ibean/"
-}
-"""
-
-_DESCRIPTION = """\
-Beans is a dataset of images of beans taken in the field using smartphone
-cameras. It consists of 3 classes: 2 disease classes and the healthy class.
-Diseases depicted include Angular Leaf Spot and Bean Rust. Data was annotated
-by experts from the National Crops Resources Research Institute (NaCRRI) in
-Uganda and collected by the Makerere AI research lab.
-"""
-
-_URLS = {
-    "train": "https://huggingface.co/datasets/beans/resolve/main/data/train.zip",
-    "validation": "https://huggingface.co/datasets/beans/resolve/main/data/validation.zip",
-    "test": "https://huggingface.co/datasets/beans/resolve/main/data/test.zip",
-}
-
-_NAMES = ["angular_leaf_spot", "bean_rust", "healthy"]
-
-
-class Beans(datasets.GeneratorBasedBuilder):
-    """Beans plant leaf images dataset."""
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "image_file_path": datasets.Value("string"),
-                    "image": datasets.Image(),
-                    "labels": datasets.features.ClassLabel(names=_NAMES),
-                }
-            ),
-            supervised_keys=("image", "labels"),
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-            task_templates=[ImageClassification(image_column="image", label_column="labels")],
-        )
-
-    def _split_generators(self, dl_manager):
-        data_files = dl_manager.download_and_extract(_URLS)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "files": dl_manager.iter_files([data_files["train"]]),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "files": dl_manager.iter_files([data_files["validation"]]),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "files": dl_manager.iter_files([data_files["test"]]),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, files):
-        for i, path in enumerate(files):
-            file_name = os.path.basename(path)
-            if file_name.endswith(".jpg"):
-                yield i, {
-                    "image_file_path": path,
-                    "image": path,
-                    "labels": os.path.basename(os.path.dirname(path)).lower(),
-                }

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:534a6b0648f585d69b7ec0ad7a7540720d60c8db8106dc6d0508296316f6cb27
+size 17706070

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7f905a7323966a58e89b8e839ed656bb869fc82d16a3fadc7dce40972a5f8b19
+size 143773054

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33f774593d8b31585457b70c224744e9409ffdee4e91a11822b1ebfe8242928f
+size 18499710

dataset_infos.json

@@ -1 +0,0 @@
-{"default": {"description": "Beans is a dataset of images of beans taken in the field using smartphone\ncameras. It consists of 3 classes: 2 disease classes and the healthy class.\nDiseases depicted include Angular Leaf Spot and Bean Rust. Data was annotated\nby experts from the National Crops Resources Research Institute (NaCRRI) in\nUganda and collected by the Makerere AI research lab.\n", "citation": "@ONLINE {beansdata,\n    author=\"Makerere AI Lab\",\n    title=\"Bean disease dataset\",\n    month=\"January\",\n    year=\"2020\",\n    url=\"https://github.com/AI-Lab-Makerere/ibean/\"\n}\n", "homepage": "https://github.com/AI-Lab-Makerere/ibean/", "license": "", "features": {"image_file_path": {"dtype": "string", "id": null, "_type": "Value"}, "image": {"decode": true, "id": null, "_type": "Image"}, "labels": {"num_classes": 3, "names": ["angular_leaf_spot", "bean_rust", "healthy"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": {"input": "image", "output": "labels"}, "task_templates": [{"task": "image-classification", "image_column": "image", "label_column": "labels"}], "builder_name": "beans", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 382110, "num_examples": 1034, "dataset_name": "beans"}, "validation": {"name": "validation", "num_bytes": 49711, "num_examples": 133, "dataset_name": "beans"}, "test": {"name": "test", "num_bytes": 46584, "num_examples": 128, "dataset_name": "beans"}}, "download_checksums": {"https://huggingface.co/datasets/beans/resolve/main/data/train.zip": {"num_bytes": 143812152, "checksum": "284fe8456ce20687f4367ae7ad94a64577e7f9fde2c2c6b1c74340ab5dc82715"}, "https://huggingface.co/datasets/beans/resolve/main/data/validation.zip": {"num_bytes": 18504213, "checksum": "90b7aa1c26d91d9afff07a30bbc67a5ea34f1f1397f068d8675be09d7d0c602d"}, "https://huggingface.co/datasets/beans/resolve/main/data/test.zip": {"num_bytes": 17708541, "checksum": "ca67b15d960d1e2fd9d23fd8498ce86818ead90755c630a43baf19ec4af09312"}}, "download_size": 180024906, "post_processing_size": null, "dataset_size": 478405, "size_in_bytes": 180503311}}