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xl_sum.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 = """\
+@inproceedings{hasan2021xl,
+  title={XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages},
+  author={Hasan, Tahmid and Bhattacharjee, Abhik and Islam, Md Saiful and Mubasshir, Kazi and Li, Yuan-Fang and Kang, Yong-Bin and Rahman, M Sohel and Shahriyar, Rifat},
+  booktitle={Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021},
+  pages={4693--4703},
+  year={2021}
+}
+"""
+
+_LOCAL = False
+_LANGUAGES = ["ind", "eng"]  # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
+_DATASETNAME = "xl_sum"
+
+_DESCRIPTION = """\
+XL-Sum is a large-scale multilingual summarization dataset that covers 45 languages including Indonesian text summarization.
+The dataset is based on article-summary pairs from BBC, is highly abstractive, concise, and of high quality, as indicated by human and intrinsic evaluation.
+"""
+
+_HOMEPAGE = "https://github.com/csebuetnlp/xl-sum"
+
+_LICENSE = "CC-BY-NC-SA 4.0"
+
+_URLS = {
+    _DATASETNAME: "https://huggingface.co/datasets/csebuetnlp/xlsum/resolve/main/data/indonesian_XLSum_v2.0.tar.bz2",
+}
+
+_SUPPORTED_TASKS = [Tasks.SUMMARIZATION]
+
+_SOURCE_VERSION = "2.0.0"
+
+_NUSANTARA_VERSION = "1.0.0"
+
+class XLSum(datasets.GeneratorBasedBuilder):
+    """XL-Sum is a large-scale multilingual summarization dataset that covers 45 languages including Indonesian text summarization. The dataset is based on article-summary pairs from BBC, is highly abstractive, concise, and of high quality, as indicated by human and intrinsic evaluation."""
+
+    SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
+    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+
+    BUILDER_CONFIGS = [
+        NusantaraConfig(
+            name="xl_sum_source",
+            version=datasets.Version(_SOURCE_VERSION),
+            description="xl_sum source schema",
+            schema="source",
+            subset_id="xl_sum",
+        ),
+        NusantaraConfig(
+            name="xl_sum_nusantara_t2t",
+            version=datasets.Version(_NUSANTARA_VERSION),
+            description="xl_sum Nusantara schema",
+            schema="nusantara_t2t",
+            subset_id="xl_sum",
+        ),
+    ]
+
+    DEFAULT_CONFIG_NAME = "xl_sum_source"
+
+    def _info(self) -> datasets.DatasetInfo:
+        if self.config.schema == "source":
+            features = datasets.Features(
+               {
+                    "id": datasets.Value("string"),
+                    "url": datasets.Value("string"),
+                    "title": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                    "summary": 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_dir = Path(dl_manager.download_and_extract(_URLS[_DATASETNAME]))
+
+        data_files = {
+            "train": "indonesian_train.jsonl",
+            "validation": "indonesian_val.jsonl",
+            "test": "indonesian_test.jsonl",
+        }
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, data_files["train"]),
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, data_files["validation"]),
+                    "split": "dev",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, data_files["test"]),
+                    "split": "test",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath: Path, split: str) -> Tuple[int, Dict]:
+
+        if self.config.schema == "source":
+            with jsonlines.open(filepath) as f:
+                for each_data in f.iter():
+                    ex = {
+                        "id": each_data["id"],
+                        "url": each_data["url"],
+                        "title": each_data["title"],
+                        "text": each_data["text"],
+                        "summary": each_data["summary"],
+                    }
+                    yield each_data["id"], ex
+
+        elif self.config.schema == "nusantara_t2t":
+            with jsonlines.open(filepath) as f:
+                for each_data in f.iter():
+                    ex = {
+                        "id": each_data["id"],
+                        "text_1": each_data["text"],
+                        "text_2": each_data["summary"],
+                        "text_1_name": each_data["title"],
+                        "text_2_name": "summary"
+                    }
+                    yield each_data["id"], ex
+        else:
+            raise ValueError(f"Invalid config: {self.config.name}")