upload repobench

repobench.py

@@ -0,0 +1,147 @@
+# 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.
+
+"""RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems"""
+
+import pickle
+import gzip
+import textwrap
+import datasets
+
+_CITATION = """\
+@misc{liu2023repobench,
+      title={RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems}, 
+      author={Tianyang Liu and Canwen Xu and Julian McAuley},
+      year={2023},
+      eprint={2306.03091},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+"""
+
+_DESCRIPTION = """\
+RepoBench is a dataset that benchmarks repository-level code auto-completion systems.
+
+RepoBench-R denotes RepoBench for Retrieval, which is a sub-task of RepoBench, 
+aiming to evaluate the ability of code auto-completion systems to retrieve 
+relevant code snippets for next-line code completion.
+"""
+
+_HOMEPAGE = "https://github.com/Leolty/repobench"
+
+_LICENSE = "Apache License 2.0"
+
+_URLs = {
+    "python-cff": "https://raw.githubusercontent.com/Leolty/repobench/main/data/retrieval/python/cross_file_first.gz",
+    "python-cfr": "https://raw.githubusercontent.com/Leolty/repobench/main/data/retrieval/python/cross_file_random.gz",
+    "java-cff": "https://raw.githubusercontent.com/Leolty/repobench/main/data/retrieval/java/cross_file_first.gz",
+    "java-cfr": "https://raw.githubusercontent.com/Leolty/repobench/main/data/retrieval/java/cross_file_random.gz"
+}
+
+
+
+class RepoBench(datasets.GeneratorBasedBuilder):
+    """RepoBench"""
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="python-cff",
+            description=textwrap.dedent(
+                """
+                cff: cross_file_first -> mask the the line that a cross-file module is first used
+                """
+            )
+        ),
+        datasets.BuilderConfig(
+            name="python-cfr",
+            description=textwrap.dedent(
+                """
+                cfr: cross_file_random -> mask a random line that a cross-file module is used (not the first time)
+                """
+            )
+        ),
+        datasets.BuilderConfig(
+            name="java-cff",
+            description=textwrap.dedent(
+                """
+                cff: cross_file_first -> mask the the line that a cross-file module is first used
+                """
+            )
+        ),
+        datasets.BuilderConfig(
+            name="java-cfr",
+            description=textwrap.dedent(
+                """
+                cfr: cross_file_random -> mask a random line that a cross-file module is used (not the first time)
+                """
+            )
+        )
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "file_path": datasets.Value("string"),
+                "context": datasets.Value("list", items_type=datasets.Value("string")),
+                "import_statement": datasets.Value("string"),
+                "code": datasets.Value("string"),
+                "next_line": datasets.Value("string"),
+                "gold_snippet_index": datasets.Value("int32")
+            }
+        )
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        config_urls = _URLs[self.config.name]
+        data_dir = dl_manager.download_and_extract(config_urls)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split("easy"),
+                gen_kwargs={"data_dir": data_dir, "split": "easy"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split("hard"),
+                gen_kwargs={"data_dir": data_dir, "split": "hard"},
+            )
+        ]
+
+    def _generate_examples(self, data_dir, split):
+        """ Yields examples. """
+        with gzip.open(data_dir, "rb") as f:
+            data = pickle.load(f)
+        
+        for i, example in enumerate(data[split]):
+            yield i, {
+                "file_path": example["file_path"],
+                "context": example["context"],
+                "import_statement": example["import_statement"],
+                "code": example["code"],
+                "next_line": example["next_line"],
+                "gold_snippet_index": example["gold_snippet_index"]
+            }
+
+
+
+