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  dataset_info:
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  features:
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  - name: id
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  - split: test
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  path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ pretty_name: Exo7MCQ
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+ language:
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+ - fr
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+ license: cc-by-nc-sa-4.0
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+ task_categories:
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+ - question-answering
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+ - multiple-choice
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+ size_categories:
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+ - n<1K
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+ source_datasets:
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+ - original
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+ annotations_creators:
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+ - found
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+ tags:
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+ - math
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+ - education
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+ - french
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+ - mcq
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+ - multi-label
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+ - benchmark
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+ - undergraduate
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+ - exo7
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+ - lighteval
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  dataset_info:
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  features:
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  - name: id
 
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  - split: test
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  path: data/test-*
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  ---
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+
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+ # Exo7MCQ
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+
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+ **Exo7MCQ** is a native-French **multi-label** multiple-choice benchmark for
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+ undergraduate mathematics: **946 questions** spanning L1–L3 topics (logic and set theory,
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+ analysis, linear algebra, arithmetic, differential equations, probability), extracted from
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+ the LaTeX question banks of [Exo7](http://exo7.emath.fr/).
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+
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+ Unlike a standard MCQ set, **each option carries its own correctness label**: a question may
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+ have one, two, three or four correct options among its 2–6 choices. Answering it is a
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+ per-option binary decision, not a "pick one of four".
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+
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+ ## Quick start
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("cea-list-ia/Exo7MCQ", split="test")
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+
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+ row = ds[0]
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+ row["question"] # the stem
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+ row["targets"]["choices"] # the options
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+ row["targets"]["labels"] # parallel 0/1 vector, 1 = correct
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+ ```
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+
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+ ## Dataset structure
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+
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+ ### Fields
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+
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+ | field | type | description |
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+ |---|---|---|
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+ | `id` | `int64` | Stable identifier, `0`–`954`. **Non-contiguous**: ids are indices into the 955-item pre-filter set, and 9 items were removed (see *Creation*). |
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+ | `question` | `string` | Question stem in French with LaTeX (`$…$` and `\(…\)`). May be prefixed with shared context from its LaTeX subsection. |
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+ | `targets.choices` | `list[string]` | Answer options, 2–6 per item. |
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+ | `targets.labels` | `list[int64]` | Parallel multi-hot vector, `1` = correct, `0` = incorrect. |
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+ | `explanation` | `string` or `null` | Reference explanation from the source `explanations` block. Absent for 19 % of items. |
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+ | `category` | `string` | Source chapter title, underscored, 28 distinct values (e.g. `Equations_différentielles`, `Logique_--_Raisonnement_\|_100`). Some retain the original chapter number, so naming is inconsistent across banks. |
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+
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+
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+ ### Example
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+
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+ ```json
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+ {
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+ "id": 0,
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+ "question": "Quelles sont les affirmations vraies ?",
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+ "targets": {
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+ "choices": [
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+ "$x^3$ est une primitive de $3x^2+3$.",
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+ "$x^3+3$ est une primitive de $3x^2$.",
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+ "$\\ln(x^2+1)$ est une primitive de $\\frac 1{x^2+1}$.",
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+ "$\\sqrt x$ est une primitive de $\\frac 1{2\\sqrt x}$ (sur $]0,+\\infty[$)."
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+ ],
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+ "labels": [0, 1, 0, 1]
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+ },
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+ "explanation": "Pour vérifier si une fonction \\(f\\) est une primitive d'une fonction \\(g\\), on calcule la dérivée de \\(f\\)…",
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+ "category": "Equations_différentielles"
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+ }
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+ ```
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+
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+
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+ ## Evaluation
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+
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+ Evaluated with [lighteval](https://github.com/huggingface/lighteval) via a community task
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+ module (`community_tasks/exo7.py`)
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+
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+ ## Dataset creation
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+
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+ ### Source data
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+
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+ [Exo7](http://exo7.emath.fr/) is an open French undergraduate mathematics resource authored
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+ by university lecturers (Arnaud Bodin, Abdellah Hanani, Mohamed Mzari and others, published
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+ via Unisciel) and distributed as LaTeX sources. Five curated MCQ banks were used:
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+
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+ | bank | topics | question blocks |
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+ |---|---|---:|
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+ | `arnaud` | general revision QCM | 30 |
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+ | `hilisit` | analysis, algebra | 163 |
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+ | `lille-1` | logic, sets, reals, sequences, limits, continuity, complex numbers, geometry | 360 |
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+ | `lille-2` | linear algebra, matrices, integrals, expansions | 360 |
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+ | `worms` | probability | 46 |
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+
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+
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+ ### Extraction and filtering
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+ ![exo7-pipeline](exo7_pipeline_en-1.png)
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+
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+
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+ ## Licensing
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+
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+ Exo7 materials are published under [**CC BY-NC-SA 4.0 FR**](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.fr).
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+ This dataset is a derivative and inherits those terms.
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+
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+ ## Acknowledgements
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+
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+ This work was granted access to the HPC resources of IDRIS under the allocation Grant AD011016978 made by GENCI.
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+
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+ This publication was made possible by the use of the FactoryIA supercomputer, financially supported by the Ile-de-France Regional Council.
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+
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+ We would also like to thank the [Banque Publique d'Investissement (BPI)](https://www.bpifrance.fr/) and the [OpenLLM consortium](https://openllm-france.fr/).
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @inproceedings{duignan:hal-05708459,
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+ TITLE = {{Jeux de donn{\'e}es en fran{\c c}ais pour l'affinage et l'{\'e}valuation de mod{\`e}les de langue g{\'e}n{\'e}ratifs dans le domaine des math{\'e}matiques}},
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+ AUTHOR = {Duignan, Liam and Graiess, Asma and van Ypersele, Matteo and Deshayes-Chossart, J{\'e}r{\^o}me and Ferret, Olivier},
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+ URL = {https://hal.science/hal-05708459},
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+ BOOKTITLE = {{Actes de l'atelier Intelligence Artificielle et {\'E}DUcation (IA EDU)}},
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+ ADDRESS = {Nantes, France},
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+ EDITOR = {Badache, Ismail},
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+ PUBLISHER = {{ATALA}},
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+ PAGES = {74-97},
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+ YEAR = {2026},
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+ MONTH = Jun,
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+ KEYWORDS = {Benchmark natif en fran{\c c}ais ; {\'E}valuation des LLMs en math{\'e}matiques},
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+ PDF = {https://hal.science/hal-05708459v1/file/IA_EDU_5_2026.pdf},
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+ HAL_ID = {hal-05708459},
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+ HAL_VERSION = {v1},
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+ }
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+
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+ ```
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+
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+ Please also credit the upstream source:
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+
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+ > Exo7 — Bodin A., Blanc-Centi L., Borne N., Boutin B., Desideri L., Mégy D., Romon P.,
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+ > <http://exo7.emath.fr/> (CC BY-NC-SA).