Convert dataset to Parquet

KHATT.py

@@ -1,103 +0,0 @@
-# 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 datasets
-
-
-_CITATION = """\
-@article{Pattern Recognition,
-    Author = {bri A. Mahmoud, Irfan Ahmad, Wasfi G. Al-Khatib, Mohammad Alshayeb, Mohammad Tanvir Parvez, Volker Märgner, Gernot A. Fink},
-    Title = { {KHATT: An Open Arabic Offline Handwritten Text Database} },
-    Year = {2013},
-    doi = {10.1016/j.patcog.2013.08.009},
-}
-"""
-
-_HOMEPAGE = "https://khatt.ideas2serve.net/KHATTAgreement.php"
-
-_DESCRIPTION = """\
-KHATT (KFUPM Handwritten Arabic TexT) database is a database of unconstrained handwritten Arabic Text written by 1000 different writers. This research database’s development was undertaken by a research group from KFUPM, Dhahran, S audi Arabia headed by Professor Sabri Mahmoud in collaboration with Professor Fink from TU-Dortmund, Germany and Dr. Märgner from TU-Braunschweig, Germany.
-"""
-
-_DATA_URL = {
-    "train": [
-        "https://huggingface.co/datasets/benhachem/KHATT/resolve/main/data/train.zip"
-    ],
-    "validation": [
-        "https://huggingface.co/datasets/benhachem/KHATT/resolve/main/data/validation.zip"
-    ],
-
-}
-
-
-class KHATT(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "image": datasets.Image(),
-                    "text": datasets.Value("string"),
-                }
-            ),
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        archives = dl_manager.download(_DATA_URL)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "archives": [dl_manager.iter_archive(archive) for archive in archives["train"]],
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "archives": [dl_manager.iter_archive(archive) for archive in archives["validation"]],
-                    "split": "validation",
-                },
-            ),
-        ]
-    def _generate_examples(self, archives, split):
-        """Yields examples."""
-        idx = 0
-
-        for archive in archives:
-            for path, file in archive:
-                # If we have an image
-                if path.endswith(".tif"):
-                    if split != "test":
-                        img_file = file                          
-                    else:
-                        text = ""
-
-                elif path.endswith(".txt"):
-
-                    text = file.read()
-                    text = text.decode('utf-8')
-
-                    ex = {"image": {"path": path, "bytes": img_file.read()}, "text": text}
-
-                    yield idx, ex
-
-                    idx += 1

README.md

@@ -1,13 +1,11 @@
-
 ---
 configs:
 - config_name: default
   data_files:
   - split: train
-    path: "data/train.zip"
+    path: data/train-*
   - split: validation
-    path: "data/validation.zip"
-
+    path: data/validation-*
 task_categories:
 - image-to-text
 language:
@@ -21,6 +19,25 @@ tags:
 - Textline images
 size_categories:
 - 1K<n<10K
+dataset_info:
+  features:
+  - name: image
+    dtype: image
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': Training
+          '1': Validation
+  splits:
+  - name: train
+    num_bytes: 19188705.2
+    num_examples: 1400
+  - name: validation
+    num_bytes: 3038515.0
+    num_examples: 233
+  download_size: 14348228
+  dataset_size: 22227220.2
 ---
 
 # KFUPM Handwritten Arabic TexT (KHATT) database 

data/{train.zip → train-00000-of-00001.parquet}

@@ -1,3 +1,3 @@
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-oid sha256:a894d11e475804e894ef82f52d81afdad717563b9b9188518e825d9f0f5df291
-size 11952092
+oid sha256:877cbd1b06b969103861eb48cdfe8bbb3d80f5cfb285c8759b61cc29ae5880b3
+size 12305075

data/{validation.zip → validation-00000-of-00001.parquet}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6aeaa5162d4397442f1c43af296e3e5d75232c7986ef1f69492e920bb778671b
-size 1971955
+oid sha256:d4be5c07dddfa8894eeb4c82f841265573feb6413f881c4489491d027003cdb0
+size 2043153