aexams.py

# 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.

import os
import datasets
import jsonlines


_DESCRIPTION = """\
Arabic EXAMS  is a comprehensive Arabic assessment suite specifically designed to evaluate the advanced knowledge and reasoning abilities of LLMs within the Arabic language and cultural context.
"""

_HOMEPAGE = "https://github.com/FreedomIntelligence/AceGPT/tree/main/eval/benchmark_eval/benchmarks/EXAMS_Arabic"

_URL = r"https://huggingface.co/datasets/Hennara/aexams/resolve/main/aexams_v0.zip"


task_list = [
 'IslamicStudies', 'Science', 'Social', 'Biology', 'Physics'
]


class EXAMSUConfig(datasets.BuilderConfig):
    def __init__(self, **kwargs):
        super().__init__(version=datasets.Version("1.0.1"), **kwargs)
        # V1.0.1 Fix: One comma missing in word_religions.csv
        # V1.0.0 Init version


class EXAMS(datasets.GeneratorBasedBuilder):
    BUILDER_CONFIGS = [
        EXAMSUConfig(name=task_name) for task_name in task_list
    ]

    def _info(self):
        features = datasets.Features(
            {
                "question": datasets.Value("string"),
                "A": datasets.Value("string"),
                "B": datasets.Value("string"),
                "C": datasets.Value("string"),
                "D": datasets.Value("string"),
                "answer": datasets.Value("string"),
            }
        )
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=features,
            homepage=_HOMEPAGE,
        )

    def _split_generators(self, dl_manager):
        data_dir = dl_manager.download_and_extract(_URL)
        task_name = self.config.name
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={
                    "filepath": os.path.join(data_dir, f"test/{task_name}.jsonl"),
                },
            ),
            datasets.SplitGenerator(
                name=datasets.Split("dev"),
                gen_kwargs={
                    "filepath": os.path.join(data_dir, f"dev/{task_name}.jsonl"),
                },
            ),
        ]

    def _generate_examples(self, filepath):
        with open(filepath, 'r', encoding="utf-8") as f:
            for i, line in enumerate(jsonlines.Reader(f)):
                yield i, line