Create invoice_data.py

invoice_data.py

@@ -0,0 +1,117 @@
+# coding=utf-8
+# Copyright 2020 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.
+
+# Lint as: python3
+"""Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition"""
+
+import os
+
+import datasets
+
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_CITATION = """\
+@inproceedings{BV-Custom-Invoice-Data,
+    title = "Invoice Data Shared Task: Language-Independent Named Entity Recognition",
+    author = "BureauVeritas",
+}
+"""
+
+_DESCRIPTION = """\
+Custom Invoice Dataset
+"""
+
+_URL = "dataset.tar.gz"
+
+
+class InvoiceDataConfig(datasets.BuilderConfig):
+    """BuilderConfig for Conll2003"""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig forConll2003.
+
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(InvoiceDataConfig, self).__init__(**kwargs)
+
+
+class Conll2003(datasets.GeneratorBasedBuilder):
+    """Conll2003 dataset."""
+
+    BUILDER_CONFIGS = [
+        InvoiceDataConfig(name="InvoiceData", version=datasets.Version("1.0.0"), description="InvoiceDataConfig dataset"),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "tokens": datasets.Sequence(datasets.Value("string")),
+                    "ner_tags": datasets.Sequence(
+                        datasets.features.ClassLabel(
+                            names=[
+                                "O",
+                                "B-LOC",
+                                "I-LOC",
+                                "B-PROD",
+                                "I-PROD",
+                                "B-MODEL_YEAR",
+                                "I-MODEL_YEAR",
+                                "B-BRAND",
+                                "I-BRAND",
+                                "B-MODEL",
+                                "I-MODEL",
+                                "B-STATE",
+                                "I-STATE",
+                                "B-PRICE",
+                                "I-PRICE",
+                                "B-CHAR",
+                                "I-CHAR",
+                            ]
+                        )
+                    ),
+                }
+            ),
+            supervised_keys=None,
+            homepage="",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        path = dl_manager.download_and_extract(_URL)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(path, 'dataset.jsonl')})
+        ]
+
+    def _generate_examples(self, filepath):
+        logger.info("⏳ Generating examples from = %s", filepath)
+        with open(filepath, encoding="utf-8") as f:
+            guid = 0
+            tokens = []
+            ner_tags = []
+            for line in f:
+                import json
+                print(json.loads(line))
+                obj = json.loads(line)
+
+                yield guid, obj
+                guid += 1