Delete loading script

humaneval-x.py

@@ -1,132 +0,0 @@
-# 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 dataset."""
-
-
-import json
-import datasets
-
-
-
-_DESCRIPTION = """
-HumanEval-X is a benchmark for the evaluation of the multilingual ability of code generative models. \
-It consists of 820 high-quality human-crafted data samples (each with test cases) in Python, C++, Java, JavaScript, and Go, and can be used for various tasks.
-"""
-
-_HOMEPAGE = "https://github.com/THUDM/CodeGeeX"
-
-def get_url(name):
-    url = f"data/{name}/data/humaneval.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 HumanEvalXConfig(datasets.BuilderConfig):
-    """BuilderConfig """
-
-    def __init__(self, name, description, features, **kwargs):
-        super(HumanEvalXConfig, 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 HumanEval",
-            features=["task_id", "prompt", "declaration", "canonical_solution", "test", "example_test"]
-        ),
-        HumanEvalXConfig(
-            name="cpp",
-            description="C++ HumanEval",
-            features=["task_id", "prompt", "declaration", "canonical_solution", "test", "example_test"]
-        ),
-
-        HumanEvalXConfig(
-            name="go",
-            description="Go HumanEval",
-            features=["task_id", "prompt", "declaration", "canonical_solution", "test", "example_test"]
-        ),
-        HumanEvalXConfig(
-            name="java",
-            description="Java HumanEval",
-            features=["task_id", "prompt", "declaration", "canonical_solution", "test", "example_test"]
-        ),
-
-        HumanEvalXConfig(
-            name="js",
-            description="JavaScript HumanEval",
-            features=["task_id", "prompt", "declaration", "canonical_solution", "test", "example_test"]
-        ),
-        ]
-    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"),
-                                        }),
-            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"],
-
-                }  
-                key += 1