diff --git a/docs/mmteb/points/927.jsonl b/docs/mmteb/points/927.jsonl
new file mode 100644
index 0000000000..64ea007b58
--- /dev/null
+++ b/docs/mmteb/points/927.jsonl
@@ -0,0 +1,2 @@
+{"GitHub": "gentaiscool", "New dataset": 18}
+{"GitHub": "KennethEnevoldsen", "Review PR": 2}
\ No newline at end of file
diff --git a/mteb/tasks/Classification/__init__.py b/mteb/tasks/Classification/__init__.py
index 89826de5cb..9559feeb80 100644
--- a/mteb/tasks/Classification/__init__.py
+++ b/mteb/tasks/Classification/__init__.py
@@ -86,6 +86,7 @@
 from .multilingual.MultilingualSentimentClassification import *
 from .multilingual.NaijaSenti import *
 from .multilingual.NordicLangClassification import *
+from .multilingual.NusaParagraphTopicClassification import *
 from .multilingual.NusaXSenti import *
 from .multilingual.ScalaClassification import *
 from .multilingual.SIB200Classification import *
diff --git a/mteb/tasks/Classification/multilingual/NusaParagraphTopicClassification.py b/mteb/tasks/Classification/multilingual/NusaParagraphTopicClassification.py
new file mode 100644
index 0000000000..c7d4900de3
--- /dev/null
+++ b/mteb/tasks/Classification/multilingual/NusaParagraphTopicClassification.py
@@ -0,0 +1,60 @@
+from __future__ import annotations
+
+from mteb.abstasks.TaskMetadata import TaskMetadata
+
+from ....abstasks import AbsTaskClassification, MultilingualTask
+
+_LANGUAGES = {
+    "btk": ["bbc-Latn"],
+    "bew": ["bew-Latn"],
+    "bug": ["bug-Latn"],
+    "jav": ["jav-Latn"],
+    "mad": ["mad-Latn"],
+    "mak": ["mak-Latn"],
+    "min": ["min-Latn"],
+    "mui": ["mui-Latn"],
+    "rej": ["rej-Latn"],
+    "sun": ["sun-Latn"],
+}
+
+
+class NusaParagraphTopicClassification(MultilingualTask, AbsTaskClassification):
+    metadata = TaskMetadata(
+        name="NusaParagraphTopicClassification",
+        dataset={
+            "path": "gentaiscool/nusaparagraph_topic",
+            "revision": "abb43f8d5b9510b8724b48283aca26c4733eac5d",
+        },
+        description="NusaParagraphTopicClassification is a multi-class topic classification on 10 Indonesian languages.",
+        reference="https://github.com/IndoNLP/nusa-writes",
+        category="s2s",
+        type="Classification",
+        eval_splits=["test"],
+        eval_langs=_LANGUAGES,
+        main_score="f1",
+        date=("2021-08-01", "2022-07-01"),
+        form=["written"],
+        domains=["Non-fiction", "Fiction"],
+        task_subtypes=["Topic classification"],
+        license="Apache 2.0",
+        socioeconomic_status="mixed",
+        annotations_creators="human-annotated",
+        dialect=[],
+        text_creation="found",
+        bibtex_citation="""
+        @inproceedings{cahyawijaya-etal-2023-nusawrites,
+            title = "NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages",
+            author = "Cahyawijaya, Samuel  and  Lovenia, Holy  and Koto, Fajri  and  Adhista, Dea  and  Dave, Emmanuel  and  Oktavianti, Sarah  and  Akbar, Salsabil  and  Lee, Jhonson  and  Shadieq, Nuur  and  Cenggoro, Tjeng Wawan  and  Linuwih, Hanung  and  Wilie, Bryan  and  Muridan, Galih  and  Winata, Genta  and  Moeljadi, David  and  Aji, Alham Fikri  and  Purwarianti, Ayu  and  Fung, Pascale",
+            editor = "Park, Jong C.  and  Arase, Yuki  and  Hu, Baotian  and  Lu, Wei  and  Wijaya, Derry  and  Purwarianti, Ayu  and  Krisnadhi, Adila Alfa",
+            booktitle = "Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)",
+            month = nov,
+            year = "2023",
+            address = "Nusa Dua, Bali",
+            publisher = "Association for Computational Linguistics",
+            url = "https://aclanthology.org/2023.ijcnlp-main.60",
+            pages = "921--945",
+        }
+        """,
+        n_samples={"train": 15516, "validation": 2948, "test": 6250},
+        avg_character_length={"train": 740.24, "validation": 740.66, "test": 740.71},
+    )
diff --git a/results/intfloat__multilingual-e5-small/0a68dcd3dad5b4962a78daa930087728292b241d/NusaParagraphTopicClassification.json b/results/intfloat__multilingual-e5-small/0a68dcd3dad5b4962a78daa930087728292b241d/NusaParagraphTopicClassification.json
new file mode 100644
index 0000000000..40e6be2592
--- /dev/null
+++ b/results/intfloat__multilingual-e5-small/0a68dcd3dad5b4962a78daa930087728292b241d/NusaParagraphTopicClassification.json
@@ -0,0 +1,631 @@
+{
+  "dataset_revision": "abb43f8d5b9510b8724b48283aca26c4733eac5d",
+  "evaluation_time": 31.910111904144287,
+  "kg_co2_emissions": null,
+  "mteb_version": "1.12.30",
+  "scores": {
+    "test": [
+      {
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+        "f1": 0.6171183470608116,
+        "f1_weighted": 0.629464721103177,
+        "hf_subset": "btk",
+        "languages": [
+          "bbc-Latn"
+        ],
+        "main_score": 0.6171183470608116,
+        "scores_per_experiment": [
+          {
+            "accuracy": 0.59,
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+            "f1_weighted": 0.5958927453217002
+          },
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+}
\ No newline at end of file
diff --git a/results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NusaParagraphTopicClassification.json b/results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NusaParagraphTopicClassification.json
new file mode 100644
index 0000000000..3628506b52
--- /dev/null
+++ b/results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NusaParagraphTopicClassification.json
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+  "task_name": "NusaParagraphTopicClassification"
+}
\ No newline at end of file