Create generic_conll.py

generic_conll.py

@@ -0,0 +1,107 @@
+# 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__)
+
+
+class ConllConfig(datasets.BuilderConfig):
+    """BuilderConfig for Conll"""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig forConll.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(ConllConfig, self).__init__(**kwargs)
+
+
+class Conll(datasets.GeneratorBasedBuilder):
+    """Conll dataset."""
+
+    BUILDER_CONFIGS = [
+        ConllConfig(name="conll", version=datasets.Version("1.0.0"), description="Conll dataset"),
+    ]
+    DEFAULT_CONFIG_NAME = "conll"
+
+    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.Value("string")),
+                }
+            ),
+            supervised_keys=None,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators.""".
+        if not self.config.data_files:
+            raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}")
+        data_files = dl_manager.download_and_extract(self.config.data_files)
+        if isinstance(data_files, (str, list, tuple)):
+            files = data_files
+            if isinstance(files, str):
+                files = [files]
+            files = [dl_manager.iter_files(file) for file in files]
+            return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"files": files})]
+        splits = []
+        for split_name, files in data_files.items():
+            if isinstance(files, str):
+                files = [files]
+            files = [dl_manager.iter_files(file) for file in files]
+            splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs={"files": files}))
+        return splits
+
+    def _generate_examples(self, files):
+        for filepath in files:
+            logger.info("⏳ Generating examples from = %s", filepath)
+            with open(filepath, encoding="utf-8") as f:
+                guid = 0
+                tokens = []
+                ner_tags = []
+                for line in f:
+                    if line.startswith("-DOCSTART-") or line == "" or line == "\n":
+                        if tokens:
+                            yield guid, {
+                                "id": str(guid),
+                                "tokens": tokens,
+                                "ner_tags": ner_tags,
+                            }
+                            guid += 1
+                            tokens = []
+                            ner_tags = []
+                    else:
+                        # conll2003 tokens are space separated
+                        splits = line.split(" ")
+                        tokens.append(splits[0])
+                        ner_tags.append(splits[-1].rstrip())
+                # last example
+                if tokens:
+                    yield guid, {
+                        "id": str(guid),
+                        "tokens": tokens,
+                        "ner_tags": ner_tags,
+                    }