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README.md
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---
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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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| 1 |
---
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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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```python
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from datasets import load_dataset
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ds = load_dataset("cea-list-ia/Exo7MCQ", split="test")
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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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## Dataset structure
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### Fields
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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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```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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## Evaluation
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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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## Dataset creation
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### Source data
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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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| 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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### Extraction and filtering
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## Licensing
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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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## Acknowledgements
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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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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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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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## Citation
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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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Please also credit the upstream source:
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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).
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