changes

HiNER-original.py

@@ -0,0 +1,108 @@
+import os
+
+import datasets
+from typing import List
+import json
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_CITATION = """
+"""
+
+_DESCRIPTION = """
+This is the dataset repository for HiNER Dataset accepted to be published at LREC 2022.
+The dataset can help build sequence labelling models for the task Named Entity Recognitin for the Hindi language.
+"""
+
+class HiNERConfig(datasets.BuilderConfig):
+    """BuilderConfig for HiNER Dataset."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for HiNER.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(HiNERConfig, self).__init__(**kwargs)
+
+
+class HiNERConfig(datasets.GeneratorBasedBuilder):
+    """HiNER dataset."""
+
+    BUILDER_CONFIGS = [
+        HiNERConfig(name="HiNER", version=datasets.Version("0.0.2"), description="Hindi Named Entity Recognition 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-PERSON",
+                                "I-PERSON",
+                                "B-LOCATION",
+                                "I-LOCATION",
+                                "B-ORGANIZATION",
+                                "I-ORGANIZATION",
+                                "B-FESTIVAL",
+                                "I-FESTIVAL",
+                                "B-GAME",
+                                "I-GAME",
+                                "B-LANGUAGE",
+                                "I-LANGUAGE",
+                                "B-LITERATURE",
+                                "I-LITERATURE",
+                                "B-MISC",
+                                "I-MISC",
+                                "B-NUMEX",
+                                "I-NUMEX",
+                                "B-RELIGION",
+                                "I-RELIGION",
+                                "B-TIMEX",
+                                "I-TIMEX",
+                            ]
+                        )
+                    ),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/cfiltnlp/HiNER",
+            citation=_CITATION,
+        )
+
+    _URL = "https://github.com/cfiltnlp/HiNER-original/resolve/main/original/"
+    _URLS = {
+        "train": _URL + "train.json",
+        "dev": _URL + "validation.json",
+        "test": _URL + "test.json"
+    }
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        urls_to_download = self._URLS
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]})
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        logger.info("generating examples from = %s", filepath)
+        with open(filepath) as f:
+            hiner = json.load(f)
+            for object in hiner:
+                id_ = int(object['id'])
+                yield id_, {
+                    "id": str(id_),
+                    "tokens": object['tokens'],
+                    "pos_tags": object['pos_tags'],
+                    "ner_tags": object['ner_tags'],
+                }