Convert dataset to Parquet (#1)

- Convert dataset to Parquet (bdfabe7128645b351e8c115c2ad902b5da93c887)
- Delete loading script (2a70c7a78d055036c3ce4915bc0ed34ae3bb627c)
- Delete data file (510ad4155f62a59630e5bfd8a32efd1716320c29)
- Delete data file (4dc433d42ab5eff103f344957a6cc20ae9061b95)
- Delete data file (8e77cb72f8675d14854be4d785f0c53254e07ba1)
- Delete data file (698e1fd328452dfc7a2f2cdb6632e190cdf4a6ec)
- Delete data file (775fb71162486fb048bea63a175129d3b2e48d61)

README.md

@@ -1,3 +1,24 @@
+---
+dataset_info:
+  config_name: image
+  features:
+  - name: id
+    dtype: string
+  - name: file
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 394
+    num_examples: 2
+  download_size: 1974
+  dataset_size: 394
+configs:
+- config_name: image
+  data_files:
+  - split: test
+    path: image/test-*
+  default: true
+---
 This dataset includes 2 document images of the [DocVQA](https://docvqa.org/) dataset.
 
 They are used for testing the LayoutLMv2FeatureExtractor + LayoutLMv2Processor inside the HuggingFace Transformers library.

fixtures_docvqa.py

@@ -1,94 +0,0 @@
-# coding=utf-8
-# Copyright 2021 The TensorFlow Datasets Authors and 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 textwrap
-
-import datasets
-
-
-_CITATION = """\\n"""
-
-_DESCRIPTION = """\\n"""
-
-
-class FixturesDocVQAConfig(datasets.BuilderConfig):
-    """BuilderConfig for fixtures DocVQA"""
-
-    def __init__(
-        self,
-        data_url,
-        url,
-        task_templates=None,
-        **kwargs,
-    ):
-        super(FixturesDocVQAConfig, self).__init__(
-            version=datasets.Version("1.9.0", ""), **kwargs
-        )
-        self.data_url = data_url
-        self.url = url
-        self.task_templates = task_templates
-
-
-class FixturesDocVQA(datasets.GeneratorBasedBuilder):
-    """Fixtures of the DocVQA dataset. Include 2 document images."""
-
-    BUILDER_CONFIGS = [
-        FixturesDocVQAConfig(
-            name="image",
-            description=textwrap.dedent(""),
-            url="",
-            data_url="",
-        )
-    ]
-
-    DEFAULT_CONFIG_NAME = "image"
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "file": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=("file",),
-            homepage=self.config.url,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        DL_URLS = [
-            f"https://huggingface.co/datasets/hf-internal-testing/fixtures_docvqa/raw/main/{name}"
-            for name in ["document.png", "document_2.png"]
-        ]
-        archive_path = dl_manager.download_and_extract(DL_URLS)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"archive_path": archive_path},
-            ),
-        ]
-
-    def _generate_examples(self, archive_path):
-        """Generate examples."""
-        for i, filename in enumerate(archive_path):
-            key = str(i)
-            example = {
-                "id": key,
-                "file": filename,
-            }
-            yield key, example

image/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dfe218b7113157977661b58b4128e554a477e53e1c727c2e10a9cc31384054b6
+size 1974