Upload stif_indonesia.py with huggingface_hub

stif_indonesia.py

@@ -0,0 +1,141 @@
+from pathlib import Path
+from typing import List
+
+import datasets
+
+from nusacrowd.utils import schemas
+from nusacrowd.utils.configs import NusantaraConfig
+from nusacrowd.utils.constants import Tasks, DEFAULT_SOURCE_VIEW_NAME, DEFAULT_NUSANTARA_VIEW_NAME
+
+_DATASETNAME = "stif_indonesia"
+_SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+
+_LANGUAGES = ["ind"]  # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
+_LOCAL = False
+_CITATION = """\
+@inproceedings{wibowo2020semi,
+  title={Semi-supervised low-resource style transfer of indonesian informal to formal language with iterative forward-translation},
+  author={Wibowo, Haryo Akbarianto and Prawiro, Tatag Aziz and Ihsan, Muhammad and Aji, Alham Fikri and Prasojo, Radityo Eko and Mahendra, Rahmad and Fitriany, Suci},
+  booktitle={2020 International Conference on Asian Language Processing (IALP)},
+  pages={310--315},
+  year={2020},
+  organization={IEEE}
+}
+"""
+
+_DESCRIPTION = """\
+STIF-Indonesia is formal-informal (bahasa baku - bahasa alay/slang) style transfer for Indonesian. Texts were collected from Twitter. Then, native speakers were aksed to transform the text into formal style.
+"""
+
+_HOMEPAGE = "https://github.com/haryoa/stif-indonesia"
+
+_LICENSE = "MIT"
+
+_BASEURL = "https://raw.githubusercontent.com/haryoa/stif-indonesia/main/data/labelled/"
+_URLs = {
+    "dev.for": _BASEURL + "dev.for",
+    "dev.inf": _BASEURL + "dev.inf",
+    "test.for": _BASEURL + "test.for",
+    "test.inf": _BASEURL + "test.inf",
+    "train.for": _BASEURL + "train.for",
+    "train.inf": _BASEURL + "train.inf",
+}
+
+_SUPPORTED_TASKS = [Tasks.PARAPHRASING]
+
+_SOURCE_VERSION = "1.0.0"
+_NUSANTARA_VERSION = "1.0.0"
+
+
+class STIFIndonesia(datasets.GeneratorBasedBuilder):
+    """STIF-Indonesia is formal-informal/colloquial style transfer for Indonesian."""
+
+    BUILDER_CONFIGS = [
+        NusantaraConfig(
+            name="stif_indonesia_source",
+            version=datasets.Version(_SOURCE_VERSION),
+            description="STIF Indonesia source schema",
+            schema="source",
+            subset_id="stif_indonesia",
+        ),
+        NusantaraConfig(
+            name="stif_indonesia_nusantara_t2t",
+            version=datasets.Version(_NUSANTARA_VERSION),
+            description="STIF Indonesia Nusantara schema",
+            schema="nusantara_t2t",
+            subset_id="stif_indonesia",
+        ),
+    ]
+
+    DEFAULT_CONFIG_NAME = "stif_indonesia_source"
+
+    def _info(self):
+        if self.config.schema == "source":
+            features = datasets.Features({"id": datasets.Value("string"), "formal": datasets.Value("string"), "informal": datasets.Value("string")})
+        elif self.config.schema == "nusantara_t2t":
+            features = schemas.text2text_features
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        data_files = {}
+        for key in _URLs:
+            data_files[key] = Path(dl_manager.download_and_extract(_URLs[key]))
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": {
+                        "formal": data_files["test.for"],
+                        "informal": data_files["test.inf"],
+                    }
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": {
+                        "formal": data_files["dev.for"],
+                        "informal": data_files["dev.inf"],
+                    }
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": {
+                        "formal": data_files["train.for"],
+                        "informal": data_files["train.inf"],
+                    }
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath: Path):
+        data_for = open(filepath["formal"], "r").readlines()
+        data_inf = open(filepath["informal"], "r").readlines()
+
+        if self.config.schema == "source":
+            for id, (row_for, row_inf) in enumerate(zip(data_for, data_inf)):
+                ex = {"id": id, "formal": row_for.strip(), "informal": row_inf.strip()}
+                yield id, ex
+        elif self.config.schema == "nusantara_t2t":
+            for id, (row_for, row_inf) in enumerate(zip(data_for, data_inf)):
+                ex = {
+                    "id": id,
+                    "text_1": row_for.strip(),
+                    "text_2": row_inf.strip(),
+                    "text_1_name": "formal",
+                    "text_2_name": "informal",
+                }
+                yield id, ex
+        else:
+            raise ValueError(f"Invalid config: {self.config.name}")