draft loading script

europeana_newspapers.py

@@ -0,0 +1,124 @@
+# coding=utf-8
+# Copyright 2020 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.
+"""TODO"""
+
+import os
+
+import pyarrow as pa
+import pyarrow.parquet as pq
+from datasets import Value, Sequence
+import datasets
+from pathlib import Path
+
+_DESCRIPTION = "TODO"
+
+_HOMEPAGE = "TODO"
+
+_LANG_CONFIGS = {"fi", "sv"}
+
+
+class EuropeanaNewspapersConfig(datasets.BuilderConfig):
+    """BuilderConfig for the Europeana Newspapers dataset."""
+
+    def __init__(self, *args, languages=None, **kwargs):
+        """BuilderConfig for the GitHub Code dataset.
+
+        Args:
+            languages (:obj:`List[str]`): List of languages to load.
+            **kwargs: keyword arguments forwarded to super.
+        """
+
+        super().__init__(
+            *args,
+            name="+".join(languages),
+            **kwargs,
+        )
+        self.languages = languages
+
+
+class EuropeanaNewspapers(datasets.GeneratorBasedBuilder):
+    """TODO."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIG_CLASS = EuropeanaNewspapersConfig
+    BUILDER_CONFIGS = [
+        EuropeanaNewspapersConfig(languages=[lang]) for lang in _LANG_CONFIGS
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": Value(dtype="string"),
+                    "mean_ocr": Value(dtype="float64"),
+                    "std_ocr": Value(dtype="float64"),
+                    "bounding_boxes": Sequence(
+                        feature=Sequence(
+                            feature=Value(dtype="float64", id=None),
+                            length=-1,
+                        ),
+                    ),
+                    "title": Value(dtype="string"),
+                    "date": Value(dtype="string"),
+                    "language": Sequence(
+                        feature=Value(dtype="string", id=None),
+                    ),
+                    "item_iiif_url": Value(
+                        dtype="string",
+                    ),
+                    # "multi_language": Value(dtype="bool"),
+                    "issue_uri": Value(dtype="string"),
+                    "id": Value(dtype="string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license="Multiple: see the 'license' field of each sample.",
+        )
+
+    def _split_generators(self, dl_manager):
+        parquet_files = list(Path(".").rglob("*.parquet"))
+        languages = self.config.languages
+        data_files = [
+            parquet_file
+            for parquet_file in parquet_files
+            if parquet_file.stem.split("_")[0] in languages
+        ]
+
+        files = dl_manager.download(data_files)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "files": files,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, files):
+        key = 0
+        for file in files:
+            with open(file, "rb") as f:
+                parquet_file = pq.ParquetFile(f)
+                for record_batch in parquet_file.iter_batches(batch_size=10_000):
+                    pa_table = pa.Table.from_batches([record_batch])
+                    rows = pa_table.to_pylist()
+                    for row in rows:
+
+                        row.pop("multi_language")
+                        yield key, row
+                        key += 1