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Description
Scholar is a dataset of 30.3K annotated samples created to address the lack of high-quality scientific datasets in French. It is based on Baccalauréat and Classes Préparatoires (CPGE) exam questions and their detailed solutions, covering subjects like mathematics, physics, chemistry, and computer science. The dataset was created by kurakurai and last updated on 2025-10-12.
Use Cases
Fine-tuning large language models for French STEM question-answering based on exam questions and solutions.
Training models for automatic solution generation or grading based on annotated educational content.
Developing educational chatbots or tutoring systems based on structured question-answer pairs in French.
Conducting research on the difficulty and structure of French scientific exam questions.
Strengths
Contains 30.3K annotated samples, providing a substantial corpus for training.
Focuses on high-quality, structured educational content from official French exam sources.
Addresses a specific gap by providing scientific data in the French language.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is known, but specific file formats, size, and license information are unknown.
Data may reflect the specific biases and scope of the French Baccalauréat and CPGE exam systems.
Provenance
Source
kurakurai on Hugging Face
Collection Method
Based on Baccalauréat and Classes Préparatoires (CPGE) exam questions and solutions.
Freshness
Last updated 2025-10-12 19:47:27; freshness should be verified.
Geography
France (inferred from the source of French national exams)
License is unknown; users must verify terms of use before downloading.