Delete codeforces_question_solution_label.py

codeforces_question_solution_label.py

@@ -1,171 +0,0 @@
-# coding=utf-8
-# Copyright 2023 The HuggingFace Datasets Authors.
-#
-# 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.
-
-# Lint as: python3
-"""Codeforces Question Solution Label Dataset."""
-
-import json
-import os
-import textwrap
-
-import datasets
-
-
-class CodeforcesConfig(datasets.BuilderConfig):
-    """BuilderConfig for Codeforces Question Solution Label."""
-
-    def __init__(self, homepage: str = None, citation: str = None, base_path: str = None, paths: dict = None, **kwargs):
-        """BuilderConfig for Codeforces Question Solution Label.
-        Args:
-            homepage (`str`): Homepage.
-            citation (`str`): Citation reference.
-            base_path (`str`): Base path for data files.
-            paths (`dict`): Data file paths relative to base_path.
-            **kwargs: keyword arguments forwarded to super.
-        """
-        super().__init__(**kwargs)
-        self.homepage = homepage
-        self.citation = citation
-        self.base_path = base_path
-        self.paths = paths
-
-
-class CodeforcesQuestionSolutionLabel(datasets.GeneratorBasedBuilder):
-    """Codeforces Question Solution Label Dataset."""
-
-    BUILDER_CONFIGS = [
-        CodeforcesConfig(
-            name="cpp",
-            version=datasets.Version("1.0.0"),
-            description=textwrap.dedent(
-                "Codeforces Question Solution Label Dataset (C++):\n"
-                "A dataset containing solutions to Codeforces problems written in C++. Each entry includes the contest ID, "
-                "problem ID, problem statement, tags, solution code, and programming language."
-            ),
-            homepage="https://codeforces.com/",
-            citation=textwrap.dedent(
-                """\
-                @misc{codeforces_solutions,
-                    author = {AlbertHatsuki},
-                    title = {Codeforces Question Solution Label Dataset},
-                    year = {2023},
-                    publisher = {Hugging Face},
-                    howpublished = {\\url{https://huggingface.co/datasets/AlbertHatsuki/codeforces-question-solution-label}}
-                }"""
-            ),
-            base_path="data/cpp",
-            paths={
-                datasets.Split.TRAIN: "train.jsonl",
-                datasets.Split.VALIDATION: "validation.jsonl",
-                datasets.Split.TEST: "test.jsonl",
-            },
-        ),
-        CodeforcesConfig(
-            name="py",
-            version=datasets.Version("1.0.0"),
-            description=textwrap.dedent(
-                "Codeforces Question Solution Label Dataset (Python):\n"
-                "A dataset containing solutions to Codeforces problems written in Python. Each entry includes the contest ID, "
-                "problem ID, problem statement, tags, solution code, and programming language."
-            ),
-            homepage="https://codeforces.com/",
-            citation=textwrap.dedent(
-                """\
-                @misc{codeforces_solutions,
-                    author = {AlbertHatsuki},
-                    title = {Codeforces Question Solution Label Dataset},
-                    year = {2023},
-                    publisher = {Hugging Face},
-                    howpublished = {\\url{https://huggingface.co/datasets/AlbertHatsuki/codeforces-question-solution-label}}
-                }"""
-            ),
-            base_path="data/py",
-            paths={
-                datasets.Split.TRAIN: "train.jsonl",
-                datasets.Split.VALIDATION: "validation.jsonl",
-                datasets.Split.TEST: "test.jsonl",
-            },
-        ),
-        CodeforcesConfig(
-            name="java",
-            version=datasets.Version("1.0.0"),
-            description=textwrap.dedent(
-                "Codeforces Question Solution Label Dataset (Java):\n"
-                "A dataset containing solutions to Codeforces problems written in Java. Each entry includes the contest ID, "
-                "problem ID, problem statement, tags, solution code, and programming language."
-            ),
-            homepage="https://codeforces.com/",
-            citation=textwrap.dedent(
-                """\
-                @misc{codeforces_solutions,
-                    author = {AlbertHatsuki},
-                    title = {Codeforces Question Solution Label Dataset},
-                    year = {2023},
-                    publisher = {Hugging Face},
-                    howpublished = {\\url{https://huggingface.co/datasets/AlbertHatsuki/codeforces-question-solution-label}}
-                }"""
-            ),
-            base_path="data/java",
-            paths={
-                datasets.Split.TRAIN: "train.jsonl",
-                datasets.Split.VALIDATION: "validation.jsonl",
-                datasets.Split.TEST: "test.jsonl",
-            },
-        ),
-    ]
-
-    def _info(self):
-        features = {
-            "contest_id": datasets.Value("string"),
-            "problem_id": datasets.Value("string"),
-            "statement": datasets.Value("string"),
-            "tags": datasets.Sequence(datasets.Value("string")),
-            "code": datasets.Value("string"),
-            "language": datasets.Value("string"),
-        }
-        return datasets.DatasetInfo(
-            description=self.config.description,
-            features=datasets.Features(features),
-            homepage=self.config.homepage,
-            citation=self.config.citation,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        dl_paths = {
-            split: os.path.join(self.config.base_path, path)
-            for split, path in self.config.paths.items()
-        }
-        return [
-            datasets.SplitGenerator(
-                name=split,
-                gen_kwargs={"filepath": dl_paths[split]},
-            )
-            for split in dl_paths.keys()
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        with open(filepath, encoding="utf-8") as f:
-            for row_id, row in enumerate(f):
-                data = json.loads(row)
-                yield row_id, {
-                    "contest_id": data["contest_id"],
-                    "problem_id": data["problem_id"],
-                    "statement": data["statement"],
-                    "tags": data["tags"],
-                    "code": data["code"],
-                    "language": data["language"],
-                }