Delete loading script

testcm.py

@@ -1,107 +0,0 @@
-# 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.
-"""The CodeMMLU benchmark."""
-
-import os
-import json
-from glob import glob
-
-import datasets
-
-
-_CITATION = """\
-@article{nguyen2024codemmlu,
-  title={CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities},
-  author={Nguyen, Dung Manh and Phan, Thang Chau and Le, Nam Hai and Doan, Thong T. and Nguyen, Nam V. and Pham, Quang and Bui, Nghi D. Q.},
-  journal={arXiv preprint},
-  year={2024}
-}
-"""
-
-_DESCRIPTION = """\
-CodeMMLU is a comprehensive benchmark designed to evaluate the capabilities of large language models (LLMs) in coding and software knowledge
-"""
-
-_HOMEPAGE = "https://fsoft-ai4code.github.io/codemmlu/"
-
-_URL = "./data/test"
-
-_SUBJECTS = [
-    "programming_syntax", "api_frameworks",
-    "software_principles", "dbms_sql", "others",
-    "code_completion", "fill_in_the_middle", "code_repair", "defect_detection"
-]
-
-
-class CodeMMLU(datasets.GeneratorBasedBuilder):
-    """CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities"""
-    # Version history:
-    # 0.0.1: Initial release.
-    VERSION = datasets.Version("0.0.1")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name=sub, version=datasets.Version("0.0.1"),
-            description="CodeMMLU test subject {}".format(sub)
-        ) for sub in _SUBJECTS
-    ]
-
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "task_id": datasets.Value("string"),
-                "question": datasets.Value("string"),
-                "choices": datasets.features.Sequence(datasets.Value("string")),
-            }
-        )
-        
-        if self.config.name == "fill_in_the_middle":
-            features["problem_description"] = datasets.Value("string")
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        path = os.path.join(_URL, self.config.name + ".jsonl")
-        dl_dir = dl_manager.download(path)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"data_path": dl_dir},
-            ),
-        ]
-
-    def _generate_examples(self, data_path):
-        """This function returns the examples in the raw (text) form."""
-        if data_path.endswith(".jsonl"):
-            lines = open(data_path, "r", encoding="utf-8").readlines()
-            reader = [json.loads(line) for line in lines]
-            for data in reader:
-                id_ = data['task_id']
-
-                return_dict = {
-                    "question": data['question'], 
-                    "choices": data['choices'],
-                }
-
-                if "fill_in_the_middle" in data_path:
-                    return_dict['problem_description'] = data['problem_description']
-
-                yield id_, return_dict