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humanevalpack / humaneval-x-bugs.py
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# 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.
"""HumanEval-X-Bugs dataset."""
import json
import datasets
_DESCRIPTION = """
"""
_HOMEPAGE = "https://github.com/bigcode-project/commits"
def get_url(name):
url = f"data/{name}/data/humanevalbugs.jsonl"
return url
def split_generator(dl_manager, name):
downloaded_files = dl_manager.download(get_url(name))
return [
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"filepath": downloaded_files,
},
)
]
class HumanEvalXBugsConfig(datasets.BuilderConfig):
"""BuilderConfig """
def __init__(self, name, description, features, **kwargs):
super(HumanEvalXBugsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
self.name = name
self.description = description
self.features = features
class HumanEvalX(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
BUILDER_CONFIGS = [
HumanEvalXConfig(
name="python",
description="Python HumanEvalBugs",
features=[
"task_id", "prompt", "declaration", "canonical_solution", "test", "example_test", "bug_type", "failure_symptoms", "entry_point"
]
),
HumanEvalXConfig(
name="cpp",
description="C++ HumanEvalBugs",
features=[
"task_id", "prompt", "declaration", "canonical_solution", "test", "example_test", "bug_type", "failure_symptoms", "entry_point"
]
),
HumanEvalXConfig(
name="go",
description="Go HumanEvalBugs",
features=[
"task_id", "prompt", "declaration", "canonical_solution", "test", "example_test", "bug_type", "failure_symptoms", "entry_point"
]
),
HumanEvalXConfig(
name="java",
description="Java HumanEvalBugs",
features=[
"task_id", "prompt", "declaration", "canonical_solution", "test", "example_test", "bug_type", "failure_symptoms", "entry_point"
]
),
HumanEvalXConfig(
name="js",
description="JavaScript HumanEvalBugs",
features=[
"task_id", "prompt", "declaration", "canonical_solution", "test", "example_test", "bug_type", "failure_symptoms", "entry_point"
]
),
]
DEFAULT_CONFIG_NAME = "python"
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"task_id": datasets.Value("string"),
"prompt": datasets.Value("string"),
"declaration": datasets.Value("string"),
"canonical_solution": datasets.Value("string"),
"test": datasets.Value("string"),
"example_test": datasets.Value("string"),
"bug_type": datasets.Value("string"),
"failure_symptoms": datasets.Value("string"),
"entry_point": datasets.Value("string"),
}
),
homepage=_HOMEPAGE,
)
def _split_generators(self, dl_manager):
if self.config.name == "python":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "cpp":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "go":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "java":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "js":
return split_generator(dl_manager, self.config.name)
def _generate_examples(self, filepath):
key = 0
with open(filepath) as f:
for line in f:
row = json.loads(line)
key += 1
yield key, {
"task_id": row["task_id"],
"prompt": row["prompt"],
"declaration": row["declaration"],
"canonical_solution": row["canonical_solution"],
"test": row["test"],
"example_test": row["example_test"],
"bug_type": row["bug_type"],
"failure_symptoms": row["failure_symptoms"],
"entry_point": row["entry_point"],
}
key += 1