diff --git a/community_tasks/french_evals.py b/community_tasks/french_evals.py
new file mode 100644
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+++ b/community_tasks/french_evals.py
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+# MIT License
+
+# Copyright (c) 2024 The HuggingFace Team
+
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+
+# ruff: noqa: F405, F403, F401
+"""
+Custom evaluation tasks for lighteval.
+
+This file generally creates just a TASKS_TABLE and TASKS_GROUPS which are then imported by LightEval.
+
+This module implements tasks for the french specific datasets
+See : https://huggingface.co/fr-gouv-coordination-ia
+"""
+
+import random
+
+import numpy as np
+from aenum import extend_enum
+
+import lighteval.tasks.extended.ifeval.instructions_registry as instructions_registry
+from lighteval.metrics.metrics import Metrics, SampleLevelMetric
+from lighteval.metrics.utils.metric_utils import (
+    MetricCategory,
+    MetricUseCase,
+    SampleLevelMetricGrouping,
+)
+from lighteval.tasks.default_prompts import LETTER_INDICES
+from lighteval.tasks.extended.ifeval.main import ifeval_metrics
+from lighteval.tasks.lighteval_task import LightevalTaskConfig
+from lighteval.tasks.requests import Doc
+
+
+# Ifeval-fr prompt function
+def prompt_ifeval_fr(line, task_name: str = None):
+    return Doc(
+        task_name=task_name,
+        query=line["prompt"],
+        choices=[""],
+        gold_index=0,
+        instruction="",
+        specific={"instructions_id_list": line["instruction_id_list"], "kwargs": line["kwargs"]},
+    )
+
+
+# qpqa-fr prompt function
+def prompt_gpqa_fr(line, task_name: str = None):
+    gold_index = random.randint(0, 3)
+    choices = [line["Réponse incorrecte 1"], line["Réponse incorrecte 2"], line["Réponse incorrecte 3"]]
+    choices.insert(gold_index, line["Réponse correcte"])
+
+    instruction = "Choisissez la réponse correcte aux questions suivantes.\n\n"
+
+    query = f"Question: {line['Question']}\n"
+    query += "".join([f"{key}. {choice}\n" for key, choice in zip(LETTER_INDICES, choices)])
+    query += "Answer: "
+    return Doc(
+        task_name=task_name,
+        query=f"{instruction}{query}",
+        choices=LETTER_INDICES[: len(choices)],
+        gold_index=gold_index,
+        instruction=instruction,
+    )
+
+
+# IFEVal-fr task
+
+
+ifeval_fr_task = LightevalTaskConfig(
+    name="ifeval-fr",
+    prompt_function=prompt_ifeval_fr,  # must be defined in the file or imported from src/lighteval/tasks/tasks_prompt_formatting.py
+    suite=["community"],
+    hf_repo="fr-gouv-coordination-ia/IFEval-fr",
+    hf_subset="default",
+    metric=[ifeval_metrics],
+    hf_avail_splits=["train"],
+    evaluation_splits=["train"],
+    few_shots_split="train",
+    few_shots_select="random_sampling",
+    generation_size=1280,
+    stop_sequence=[],  # no stop sequence, will use eot token
+    version="0.1",  # select your metric in Metrics
+)
+
+# GPQA-fr task
+gpqa_fr_task = LightevalTaskConfig(
+    name="gpqa-fr",
+    suite=["community"],
+    prompt_function=prompt_gpqa_fr,
+    hf_repo="fr-gouv-coordination-ia/gpqa-fr",
+    hf_subset="default",
+    hf_avail_splits=["train"],
+    evaluation_splits=["train"],
+    few_shots_split=None,
+    few_shots_select="random_sampling",
+    generation_size=1,
+    metric=[Metrics.loglikelihood_acc],
+    stop_sequence=["\n"],
+    trust_dataset=True,
+    version=0,
+)
+
+# STORE YOUR EVALS
+TASKS_TABLE = [ifeval_fr_task, gpqa_fr_task]