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paracotta_id.py

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+import os
+from pathlib import Path
+from typing import Dict, List, Tuple
+
+import datasets
+
+from nusacrowd.utils.configs import NusantaraConfig
+from nusacrowd.utils.constants import Tasks
+from nusacrowd.utils import schemas
+import jsonlines
+from nltk.tokenize.treebank import TreebankWordDetokenizer
+
+
+_CITATION = """\
+@article{aji2022paracotta,
+  title={ParaCotta: Synthetic Multilingual Paraphrase Corpora from the Most Diverse Translation Sample Pair},
+  author={Aji, Alham Fikri and Fatyanosa, Tirana Noor and Prasojo, Radityo Eko and Arthur, Philip and Fitriany, Suci and Qonitah, Salma and Zulfa, Nadhifa and Santoso, Tomi and Data, Mahendra},
+  journal={arXiv preprint arXiv:2205.04651},
+  year={2022}
+}
+"""
+
+_LANGUAGES = ["ind"]  # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
+_LOCAL = False
+
+_DATASETNAME = "paracotta_id"
+
+_DESCRIPTION = """\
+ParaCotta is a synthetic parallel paraphrase corpus across 17 languages: Arabic, Catalan, Czech, German, English, Spanish, Estonian, French, Hindi, Indonesian, Italian, Dutch, Ro- manian, Russian, Swedish, Vietnamese, and Chinese.
+"""
+
+_HOMEPAGE = "https://github.com/afaji/paracotta-paraphrase"
+
+_LICENSE = "Unknown"
+
+_URLS = {
+    _DATASETNAME: "https://drive.google.com/uc?id=1QPyD4lOKxbXGUypA5ke6Y9_i9utq-QSQ",
+}
+
+_SUPPORTED_TASKS = [Tasks.PARAPHRASING]
+
+# Dataset does not have versioning
+_SOURCE_VERSION = "1.0.0"
+_NUSANTARA_VERSION = "1.0.0"
+
+
+class ParaCotta(datasets.GeneratorBasedBuilder):
+    """ParaCotta is a synthetic parallel paraphrase corpus across 17 languages: Arabic, Catalan, Czech, German, English, Spanish, Estonian, French, Hindi, Indonesian, Italian, Dutch, Ro- manian, Russian, Swedish, Vietnamese, and Chinese.
+    """
+
+    SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
+    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+
+    BUILDER_CONFIGS = [
+        NusantaraConfig(
+            name="paracotta_id_source",
+            version=SOURCE_VERSION,
+            description="paracotta_id source schema",
+            schema="source",
+            subset_id="paracotta_id",
+        ),
+        NusantaraConfig(
+            name="paracotta_id_nusantara_t2t",
+            version=NUSANTARA_VERSION,
+            description="paracotta_id Nusantara schema",
+            schema="nusantara_t2t",
+            subset_id="paracotta_id",
+        ),
+    ]
+
+    DEFAULT_CONFIG_NAME = "paracotta_id_source"
+
+    def _info(self) -> datasets.DatasetInfo:
+        if self.config.schema == "source":
+          features = datasets.Features(
+            {
+              "id": datasets.Value("string"),
+              "src": datasets.Value("string"),
+              "tgt": 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]:
+        """Returns SplitGenerators."""
+        urls = _URLS[_DATASETNAME]
+
+        data_dir = Path(dl_manager.download(urls))
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_dir,
+                    "split": "test",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath: Path, split: str) -> Tuple[int, Dict]:
+        if self.config.schema == "source":
+            with open(filepath, 'r') as f:
+                data = f.readlines()
+                id = 0
+                for each_data in data:
+                    each_data = each_data.strip('\n')
+                    ex = {
+                        "id": id,
+                        "src": each_data.split('\t')[1],
+                        "tgt": each_data.split('\t')[2],
+                    }
+                    id += 1
+                    yield id, ex
+
+        elif self.config.schema == "nusantara_t2t":
+            with open(filepath, 'r') as f:
+                data = f.readlines()
+                id = 0
+                for each_data in data:
+                    each_data = each_data.strip('\n')
+                    ex = {
+                        "id": id,
+                        "text_1": each_data.split('\t')[1],
+                        "text_2": each_data.split('\t')[2],
+                        "text_1_name": "src",
+                        "text_2_name": "tgt"
+                    }
+                    id += 1
+                    yield id, ex
+        else:
+            raise ValueError(f"Invalid config: {self.config.name}")