fix a missing translation in kir_Cyrl; udpade the paper link

dataset_cards/kir_Cyrl.md

@@ -13,12 +13,32 @@ CC-BY-SA-4.0
 ## Attribution  
 <!-- Who should be credited for creating this dataset? Feel free to include citation data in BibTeX format. -->  
 ```bibtex 
-  @article{Jumashev2025KyrgyzOLDI,
-    title={The Kyrgyz Seed Dataset Submission to the WMT25 Open Language Data Initiative Shared Task},
-    author={Jumashev, Murat and Tillabaeva, Alina and Kasieva, Aida and Omurkanov, Turgunbek and Musaeva, Akylai and Emil kyzy, Meerim and Chagataeva, Gulaiym and Washington, Jonathan},
-    year={2025}
-  }
+@inproceedings{jumashev-etal-2025-kyrgyz,
+    title = "The {K}yrgyz Seed Dataset Submission to the {WMT}25 Open Language Data Initiative Shared Task",
+    author = "Jumashev, Murat  and
+      Tillabaeva, Alina  and
+      Kasieva, Aida  and
+      Omurkanov, Turgunbek  and
+      Musaeva, Akylai  and
+      Emil Kyzy, Meerim  and
+      Chagataeva, Gulaiym  and
+      Washington, Jonathan",
+    editor = "Haddow, Barry  and
+      Kocmi, Tom  and
+      Koehn, Philipp  and
+      Monz, Christof",
+    booktitle = "Proceedings of the Tenth Conference on Machine Translation",
+    month = nov,
+    year = "2025",
+    address = "Suzhou, China",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2025.wmt-1.84/",
+    pages = "1088--1102",
+    ISBN = "979-8-89176-341-8",
+    abstract = "We present a Kyrgyz language seed dataset as part of our contribution to the WMT25 Open Language Data Initiative (OLDI) shared task. This paper details the process of collecting and curating English{--}Kyrgyz translations, highlighting the main challenges encountered in translating into a morphologically rich, low-resource language. We demonstrate the quality of the dataset through fine-tuning experiments, showing consistent improvements in machine translation performance across multiple models. Comparisons with bilingual and MNMT Kyrgyz-English baselines reveal that, for some models, our dataset enables performance surpassing pretrained baselines in both English{--}Kyrgyz and Kyrgyz{--}English translation directions. These results validate the dataset{'}s utility and suggest that it can serve as a valuable resource for the Kyrgyz MT community and other related low-resource languages."
+}
 ```  
+See the paper "The Kyrgyz Seed Dataset Submission to the WMT25 Open Language Data Initiative Shared Task" at https://aclanthology.org/2025.wmt-1.84/.
 
 ## Language codes  
 <!-- * If this language is assigned an ISO 639-3 individual language code (not a macrolanguage code), specify it here. * Please specify the script this language is written in using an ISO 15924 code. * If this language is assigned a Glottocode, please specify it here. -->  

seed/kir_Cyrl.parquet

@@ -1,3 +1,3 @@
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-size 883522
+oid sha256:c35c51922218bfc9e56ee85824ddc22ed73fa39f04a3f87fdeb19f1893b937ee
+size 883249