diff --git a/mteb/descriptive_stats/Retrieval/EuroPIRQRetrieval.json b/mteb/descriptive_stats/Retrieval/EuroPIRQRetrieval.json
new file mode 100644
index 0000000000..b193ad5f0d
--- /dev/null
+++ b/mteb/descriptive_stats/Retrieval/EuroPIRQRetrieval.json
@@ -0,0 +1,116 @@
+{
+    "test": {
+        "num_samples": 30300,
+        "number_of_characters": 17320243,
+        "documents_text_statistics": {
+            "total_text_length": 17276572,
+            "min_text_length": 316,
+            "average_text_length": 575.8857333333333,
+            "max_text_length": 1008,
+            "unique_texts": 28361
+        },
+        "documents_image_statistics": null,
+        "queries_text_statistics": {
+            "total_text_length": 43671,
+            "min_text_length": 67,
+            "average_text_length": 145.57,
+            "max_text_length": 345,
+            "unique_texts": 300
+        },
+        "queries_image_statistics": null,
+        "relevant_docs_statistics": {
+            "num_relevant_docs": 300,
+            "min_relevant_docs_per_query": 1,
+            "average_relevant_docs_per_query": 1.0,
+            "max_relevant_docs_per_query": 1,
+            "unique_relevant_docs": 300
+        },
+        "top_ranked_statistics": null,
+        "hf_subset_descriptive_stats": {
+            "en": {
+                "num_samples": 10100,
+                "number_of_characters": 5517678,
+                "documents_text_statistics": {
+                    "total_text_length": 5503635,
+                    "min_text_length": 316,
+                    "average_text_length": 550.3635,
+                    "max_text_length": 726,
+                    "unique_texts": 9422
+                },
+                "documents_image_statistics": null,
+                "queries_text_statistics": {
+                    "total_text_length": 14043,
+                    "min_text_length": 68,
+                    "average_text_length": 140.43,
+                    "max_text_length": 305,
+                    "unique_texts": 100
+                },
+                "queries_image_statistics": null,
+                "relevant_docs_statistics": {
+                    "num_relevant_docs": 100,
+                    "min_relevant_docs_per_query": 1,
+                    "average_relevant_docs_per_query": 1.0,
+                    "max_relevant_docs_per_query": 1,
+                    "unique_relevant_docs": 100
+                },
+                "top_ranked_statistics": null
+            },
+            "fi": {
+                "num_samples": 10100,
+                "number_of_characters": 5953462,
+                "documents_text_statistics": {
+                    "total_text_length": 5938809,
+                    "min_text_length": 326,
+                    "average_text_length": 593.8809,
+                    "max_text_length": 1008,
+                    "unique_texts": 9422
+                },
+                "documents_image_statistics": null,
+                "queries_text_statistics": {
+                    "total_text_length": 14653,
+                    "min_text_length": 67,
+                    "average_text_length": 146.53,
+                    "max_text_length": 345,
+                    "unique_texts": 100
+                },
+                "queries_image_statistics": null,
+                "relevant_docs_statistics": {
+                    "num_relevant_docs": 100,
+                    "min_relevant_docs_per_query": 1,
+                    "average_relevant_docs_per_query": 1.0,
+                    "max_relevant_docs_per_query": 1,
+                    "unique_relevant_docs": 100
+                },
+                "top_ranked_statistics": null
+            },
+            "pt": {
+                "num_samples": 10100,
+                "number_of_characters": 5849103,
+                "documents_text_statistics": {
+                    "total_text_length": 5834128,
+                    "min_text_length": 325,
+                    "average_text_length": 583.4128,
+                    "max_text_length": 774,
+                    "unique_texts": 9517
+                },
+                "documents_image_statistics": null,
+                "queries_text_statistics": {
+                    "total_text_length": 14975,
+                    "min_text_length": 69,
+                    "average_text_length": 149.75,
+                    "max_text_length": 320,
+                    "unique_texts": 100
+                },
+                "queries_image_statistics": null,
+                "relevant_docs_statistics": {
+                    "num_relevant_docs": 100,
+                    "min_relevant_docs_per_query": 1,
+                    "average_relevant_docs_per_query": 1.0,
+                    "max_relevant_docs_per_query": 1,
+                    "unique_relevant_docs": 100
+                },
+                "top_ranked_statistics": null
+            }
+        }
+    }
+}
diff --git a/mteb/tasks/retrieval/multilingual/__init__.py b/mteb/tasks/retrieval/multilingual/__init__.py
index 9586991986..6b0be6c254 100644
--- a/mteb/tasks/retrieval/multilingual/__init__.py
+++ b/mteb/tasks/retrieval/multilingual/__init__.py
@@ -6,6 +6,7 @@
     CrossLingualSemanticDiscriminationWMT21,
 )
 from .cur_ev1_retrieval import CUREv1Retrieval
+from .euro_pirq_retrieval import EuroPIRQRetrieval
 from .indic_qa_retrieval import IndicQARetrieval
 from .jina_vdr_bench_retrieval import (
     JinaVDRAirbnbSyntheticRetrieval,
@@ -107,6 +108,7 @@
     "CUREv1Retrieval",
     "CrossLingualSemanticDiscriminationWMT19",
     "CrossLingualSemanticDiscriminationWMT21",
+    "EuroPIRQRetrieval",
     "IndicQARetrieval",
     "JinaVDRAirbnbSyntheticRetrieval",
     "JinaVDRArabicChartQARetrieval",
diff --git a/mteb/tasks/retrieval/multilingual/euro_pirq_retrieval.py b/mteb/tasks/retrieval/multilingual/euro_pirq_retrieval.py
new file mode 100644
index 0000000000..bdfe4b0950
--- /dev/null
+++ b/mteb/tasks/retrieval/multilingual/euro_pirq_retrieval.py
@@ -0,0 +1,43 @@
+from mteb.abstasks.retrieval import AbsTaskRetrieval
+from mteb.abstasks.task_metadata import TaskMetadata
+
+_LANGUAGES = {
+    "en": ["eng-Latn"],
+    "fi": ["fin-Latn"],
+    "pt": ["por-Latn"],
+}
+
+
+class EuroPIRQRetrieval(AbsTaskRetrieval):
+    metadata = TaskMetadata(
+        name="EuroPIRQRetrieval",
+        description="The EuroPIRQ retrieval dataset is a multilingual collection designed for evaluating retrieval and cross-lingual retrieval tasks. Dataset contains 10,000 parallel passages & 100 parallel queries (synthetic) in three languages: English, Portuguese, and Finnish, constructed from the European Union's DGT-Acquis corpus.",
+        reference="https://huggingface.co/datasets/eherra/EuroPIRQ-retrieval",
+        dataset={
+            "path": "eherra/EuroPIRQ-retrieval",
+            "revision": "59225ed25fbcea2185e1acbc8c3c80f1a8cd8341",
+        },
+        type="Retrieval",
+        category="t2t",
+        modalities=["text"],
+        eval_splits=["test"],
+        eval_langs=_LANGUAGES,
+        main_score="ndcg_at_10",
+        date=("2025-12-01", "2025-12-31"),
+        domains=["Legal"],
+        task_subtypes=[],
+        license="not specified",
+        annotations_creators="LM-generated and reviewed",
+        dialect=[],
+        sample_creation="found",
+        is_public=True,
+        bibtex_citation=r"""
+@misc{eherra_2025_europirq,
+  author = { {Elias Herranen} },
+  publisher = { Hugging Face },
+  title = { EuroPIRQ: European Parallel Information Retrieval Queries },
+  url = { https://huggingface.co/datasets/eherra/EuroPIRQ-retrieval },
+  year = {2025},
+}
+""",
+    )