Init commit with basic data loader

bisect.py

@@ -0,0 +1,119 @@
+# coding=utf-8
+# Copyright 2020 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.
+"""BiSECT is a Split and Rephrase corpus created via bilingual pivoting."""
+
+import os
+import datasets
+
+
+_CITATION = """\
+@inproceedings{kim-etal-2021-bisect,
+    title = "{B}i{SECT}: Learning to Split and Rephrase Sentences with Bitexts",
+    author = "Kim, Joongwon  and
+      Maddela, Mounica  and
+      Kriz, Reno  and
+      Xu, Wei  and
+      Callison-Burch, Chris",
+    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
+    month = nov,
+    year = "2021",
+    address = "Online and Punta Cana, Dominican Republic",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2021.emnlp-main.500",
+    pages = "6193--6209"
+}
+"""
+
+_DESCRIPTION = """\
+BiSECT is a Split and Rephrase corpus created via bilingual pivoting.
+"""
+
+_HOMEPAGE = "https://github.com/mounicam/BiSECT"
+
+_URL = "https://github.com/mounicam/BiSECT/raw/main/bisect/"
+
+_URLs = {
+    "train": {"src": _URL + "train.src.gz", "dst": _URL + "train.dst.gz"},
+    "validation": {"src": _URL + "valid.src.gz", "dst": _URL + "valid.dst.gz"},
+    "test": {"src": _URL + "test.src.gz", "dst": _URL + "test.dst.gz"},
+}
+
+
+class BiSECT(datasets.GeneratorBasedBuilder):
+    """The BiSECT Split and Rephrase corpus."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="bisect",
+            version=VERSION,
+            description="Data described in the BiSECT paper",
+        )
+    ]
+
+    DEFAULT_CONFIG_NAME = "bisect"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "gem_id": datasets.Value("string"),
+                    "source_sentence": datasets.Value("string"),
+                    "target_sentence": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        data_dir = dl_manager.download_and_extract(_URLs)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": data_dir["train"], "split": "train"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": data_dir["test"], "split": "test"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepath": data_dir["validation"], "split": "validation"},
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        """Yields examples as (key, example) tuples."""
+
+        source_filepath = filepath["src"]
+        target_filepath = filepath["dst"]
+
+        with open(source_filepath, encoding="utf-8") as f:
+            source_lines = [line.strip() for line in f]
+        with open(target_filepath, encoding="utf-8") as f:
+            target_lines = [line.strip() for line in f]
+
+        for id_ in range(len(source_lines)):
+            yield id_, {
+                "gem_id": f"{self.config.name}-{split}-{id_}",
+                "source_sentence": source_lines[id_],
+                "target_sentence": target_lines[id_],
+            }