Upload postag_su.py with huggingface_hub

postag_su.py

@@ -0,0 +1,271 @@
+# coding=utf-8
+# Copyright 2022 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.
+
+import re
+from pathlib import Path
+from typing import Dict, List, Tuple
+
+import datasets
+
+from nusacrowd.utils import schemas
+from nusacrowd.utils.configs import NusantaraConfig
+from nusacrowd.utils.constants import Tasks
+
+_CITATION = """\
+@data{FK2/VTAHRH_2022,
+    author = {ARDIYANTI SURYANI, ARIE and Widyantoro, Dwi Hendratmo and Purwarianti, Ayu and Sudaryat, Yayat},
+    publisher = {Telkom University Dataverse},
+    title = {{PoSTagged Sundanese Monolingual Corpus}},
+    year = {2022},
+    version = {DRAFT VERSION},
+    doi = {10.34820/FK2/VTAHRH},
+    url = {https://doi.org/10.34820/FK2/VTAHRH}
+}
+
+@INPROCEEDINGS{7437678,
+  author={Suryani, Arie Ardiyanti and Widyantoro, Dwi Hendratmo and Purwarianti, Ayu and Sudaryat, Yayat},
+  booktitle={2015 International Conference on Information Technology Systems and Innovation (ICITSI)},
+  title={Experiment on a phrase-based statistical machine translation using PoS Tag information for Sundanese into Indonesian},
+  year={2015},
+  volume={},
+  number={},
+  pages={1-6},
+  doi={10.1109/ICITSI.2015.7437678}
+}
+"""
+
+_LANGUAGES = ["sun"]  # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
+_LOCAL = False
+
+_DATASETNAME = "postag_su"
+
+_DESCRIPTION = """\
+This dataset contains 3616 lines of Sundanese sentences taken from several online magazines (Mangle, Dewan Dakwah Jabar, and Balebat). \
+Annotated with PoS Labels by several undergraduates of the Sundanese Language Education Study Program (PPBS), UPI Bandung.
+"""
+
+_HOMEPAGE = "https://dataverse.telkomuniversity.ac.id/dataset.xhtml?persistentId=doi:10.34820/FK2/VTAHRH"
+
+_LICENSE = 'CC0 - "Public Domain Dedication"'
+
+_URLS = {
+    _DATASETNAME: "https://dataverse.telkomuniversity.ac.id/api/access/datafile/:persistentId?persistentId=doi:10.34820/FK2/VTAHRH/WQIFK8",
+}
+
+_SUPPORTED_TASKS = [Tasks.POS_TAGGING]
+
+_SOURCE_VERSION = "1.1.0"
+
+_NUSANTARA_VERSION = "1.0.0"
+
+
+class PosSunMonoDataset(datasets.GeneratorBasedBuilder):
+    """PoSTagged Sundanese Monolingual Corpus"""
+
+    SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
+    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+
+    # Based on Wicaksono, A. F., & Purwarianti, A. (2010). HMM Based Part-of-Speech Tagger for Bahasa Indonesia. On Proceedings of 4th International MALINDO (Malay and Indonesian Language) Workshop.
+    POS_TAGS = [
+        "",
+        "!",
+        '"',
+        "'",
+        ")",
+        ",",
+        "-",
+        ".",
+        "...",
+        "....",
+        "/",
+        ":",
+        ";",
+        "?",
+        "C",
+        "CBI",
+        "CC",
+        "CDC",
+        "CDI",
+        "CDO",
+        "CDP",
+        "CDT",
+        "CP",
+        "CRB",
+        "CS",
+        "DC",
+        "DT",
+        "FE",
+        "FW",
+        "GM",
+        "IN",
+        "J",
+        "JJ",
+        "KA",
+        "KK",
+        "MD",
+        "MG",
+        "MN",
+        "N",
+        "NEG",
+        "NN",
+        "NNA",
+        "NNG",
+        "NNN",
+        "NNO",
+        "NNP",
+        "NNPP",
+        "NP",
+        "NPP",
+        "OP",
+        "PB",
+        "PCDP",
+        "PR",
+        "PRL",
+        "PRL|IN",
+        "PRN",
+        "PRP",
+        "RB",
+        "RBT",
+        "RB|RP",
+        "RN",
+        "RP",
+        "SC",
+        "SCC",
+        "SC|IN",
+        "SYM",
+        "UH",
+        "VB",
+        "VBI",
+        "VBT",
+        "VRB",
+        "W",
+        "WH",
+        "WHP",
+        "WRP",
+        "`",
+        "–",
+        "—",
+        "‘",
+        "’",
+        "“",
+        "”",
+    ]
+
+    BUILDER_CONFIGS = [
+        NusantaraConfig(
+            name=f"{_DATASETNAME}_source",
+            version=SOURCE_VERSION,
+            description=f"{_DATASETNAME} source schema",
+            schema="source",
+            subset_id=f"{_DATASETNAME}",
+        ),
+        NusantaraConfig(
+            name=f"{_DATASETNAME}_nusantara_seq_label",
+            version=NUSANTARA_VERSION,
+            description=f"{_DATASETNAME} Nusantara Seq Label schema",
+            schema="nusantara_seq_label",
+            subset_id=f"{_DATASETNAME}",
+        ),
+    ]
+
+    DEFAULT_CONFIG_NAME = f"{_DATASETNAME}_source"
+
+    def _info(self) -> datasets.DatasetInfo:
+
+        if self.config.schema == "source":
+            features = datasets.Features({"labeled_sentence": datasets.Value("string")})
+        elif self.config.schema == "nusantara_seq_label":
+            features = schemas.seq_label_features(self.POS_TAGS)
+
+        else:
+            raise NotImplementedError(f"Schema '{self.config.schema}' is not defined.")
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        """Returns SplitGenerators."""
+        urls = _URLS[_DATASETNAME]
+        data_path = dl_manager.download(urls)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_path,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath: Path) -> Tuple[int, Dict]:
+        """Yields examples as (key, example) tuples."""
+
+        def __hotfix(line):
+            if line.endswith(" taun|NN 1953.|."):
+                return line.replace(" taun|NN 1953.|.", " taun|NN 1953|CDP .|.")
+            elif line.endswith(" jeung|CC|CC sasab|RB .|."):
+                return line.replace(" jeung|CC|CC sasab|RB .|.", " jeung|CC sasab|RB .|.")
+            elif line.startswith("Kagiatan|NN éta|DT dihadiran|VBT kira|-kira "):
+                return line.replace("Kagiatan|NN éta|DT dihadiran|VBT kira|-kira ", "Kagiatan|NN éta|DT dihadiran|VBT kira-kira|DT ")
+            return line
+
+        with open(filepath, "r", encoding="utf8") as ipt:
+            raw = list(map(lambda l: __hotfix(l.rstrip("\n ")), ipt))
+
+        pat_0 = r"(,\|,|\?\|\?|-\|-|!\|!)"
+        repl_spc = r" \1 "
+
+        pat_1 = r"([A-Z”])(\.\|\.)"
+        pat_2 = r"(\.\|\.)([^. ])"
+        repl_spl = r"\1 \2"
+
+        pat_3 = r"([^ ]+\|[^ ]+)\| "
+        repl_del = r"\1 "
+
+        pat_4 = r"\|\|"
+        repl_dup = r"|"
+
+        def __apply_regex(txt):
+            for pat, repl in [(pat_0, repl_spc), (pat_1, repl_spl), (pat_2, repl_spl), (pat_3, repl_del), (pat_4, repl_dup)]:
+                txt = re.sub(pat, repl, txt)
+            return txt
+
+        def __cleanse_label(token):
+            text, label = token
+            return text, re.sub(r"([A-Z]+)[.,)]", r"\1", label.upper())
+
+        if self.config.schema == "source":
+            for key, example in enumerate(raw):
+                yield key, {"labeled_sentence": example}
+
+        elif self.config.schema == "nusantara_seq_label":
+            spaced = list(map(__apply_regex, raw))
+            data = list(map(lambda l: [__cleanse_label(tok.split("|", 1)) for tok in filter(None, l.split(" "))], spaced))
+
+            for key, example in enumerate(data):
+                tokens, labels = zip(*example)
+                yield key, {"id": str(key), "tokens": tokens, "labels": labels}
+
+        else:
+            raise NotImplementedError(f"Schema '{self.config.schema}' is not defined.")
+
+
+if __name__ == "__main__":
+    datasets.load_dataset(__file__)