Update codeforces_question_solution_label.py
Browse files
codeforces_question_solution_label.py
CHANGED
@@ -3,14 +3,19 @@ import os
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import json
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class CodeforcesQuestionSolutionLabel(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(name="cpp", description="C++
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datasets.BuilderConfig(name="py", description="Python
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datasets.BuilderConfig(name="java", description="Java
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]
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def _info(self):
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return datasets.DatasetInfo(
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features=datasets.Features({
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"contest_id": datasets.Value("string"),
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"problem_id": datasets.Value("string"),
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@@ -19,11 +24,16 @@ class CodeforcesQuestionSolutionLabel(datasets.GeneratorBasedBuilder):
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"code": datasets.Value("string"),
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"language": datasets.Value("string"),
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}),
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)
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def _split_generators(self, dl_manager):
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config = self.config.name
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data_dir =
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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@@ -40,6 +50,7 @@ class CodeforcesQuestionSolutionLabel(datasets.GeneratorBasedBuilder):
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]
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def _generate_examples(self, filepath):
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with open(filepath, encoding="utf-8") as f:
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for key, row in enumerate(f):
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data = json.loads(row)
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import json
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class CodeforcesQuestionSolutionLabel(datasets.GeneratorBasedBuilder):
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"""Codeforces Question Solution Label Dataset."""
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# Define supported configurations (language subsets)
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(name="cpp", description="C++ solutions for Codeforces problems"),
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datasets.BuilderConfig(name="py", description="Python solutions for Codeforces problems"),
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datasets.BuilderConfig(name="java", description="Java solutions for Codeforces problems"),
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]
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def _info(self):
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# Define dataset features (fields and types)
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return datasets.DatasetInfo(
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description="A dataset of Codeforces problem solutions labeled by language",
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features=datasets.Features({
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"contest_id": datasets.Value("string"),
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"problem_id": datasets.Value("string"),
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"code": datasets.Value("string"),
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"language": datasets.Value("string"),
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}),
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homepage="https://codeforces.com/",
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citation="Data collected from Codeforces API",
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)
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def _split_generators(self, dl_manager):
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# Get the current configuration (language)
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config = self.config.name
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data_dir = os.path.join("data", config) # Data files are in data/<language>/
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# Define generators for each split
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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]
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def _generate_examples(self, filepath):
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# Generate examples from the file
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with open(filepath, encoding="utf-8") as f:
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for key, row in enumerate(f):
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data = json.loads(row)
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