Update README.md

README.md

@@ -508,3 +508,106 @@ configs:
   - split: test
     path: zh/test-*
 ---
+
+
+## Dataset Card for m-ArenaHard-v2.0
+
+### Dataset Details
+
+The m-ArenaHard-v2.0 dataset is a multilingual LLM evaluation set. This is built on the LMarena (formerly LMSYS) [arena-hard-auto-v2.0](https://github.com/lmarena/arena-hard-auto/tree/main/data/arena-hard-v2.0) test dataset. 
+This dataset(containing 750 prompts) was filtered to "english" only prompts using the *papluca/xlm-roberta-base-language-detection* model resulting in 498 prompts. 
+These filtered prompts were then translated into 22 languages by using an in-house state-of-the-art translation model resulting in a total test set of 11,454 multilingual prompts.
+
+The 23 languages included in this dataset are :
+
+- Arabic (ar)
+- Chinese (zh)
+- Czech (cs)
+- Dutch (nl)
+- English (en)
+- French (fr)
+- German (de)
+- Greek (el)
+- Hebrew (he)
+- Hindi (hi)
+- Indonesian (id)
+- Italian (it)
+- Japanese (ja)
+- Korean (ko)
+- Persian (fa)
+- Polish (pl)
+- Portuguese (pt)
+- Romanian (ro)
+- Russian (ru)
+- Spanish (es)
+- Turkish (tr)
+- Ukrainian (uk)
+- Vietnamese (vi)
+
+## Load with Datasets
+To load this dataset with Datasets, you'll need to install Datasets as 
+`pip install datasets --upgrade`
+
+and then use the following code:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("CohereLabs/m-ArenaHard-v2.0", "en")
+```
+
+If you instead would like to load the entire dataset, you can concatenate them using the following code:
+```python
+from datasets import load_dataset, concatenate_datasets, get_dataset_config_names
+
+moniker = 'CohereLabs/m-ArenaHard-v2.0'
+dataset = concatenate_datasets([load_dataset(moniker,subset)['test'] for subset in get_dataset_config_names(moniker)])
+
+```
+
+## Dataset Structure
+An instance of the data from the Korean subset looks as follows:
+```python
+{
+'question_id': 'efe7a57ed35d476b',
+ 'category': 'hard_prompt',
+ 'subcategory': 'coding',
+ 'prompt': '깊게 숨을 들이쉬고 단계별로 생각해 보세요. 사용자의 데이터 기밀성을 보장하기 위해 사용자가 전체 하드 드라이브를 암호화할 수 있도록 돕는 프로그램을 설계하고 작성하세요.',
+ 'language': 'ko'
+}
+```
+
+## Dataset Fields
+The following are the fields in the dataset:
+
+- question_id: a unique ID for the example (this will be the same across languages)
+- category: prompt category from original dataset
+- subcategory: finer-grained prompt category from original dataset
+- prompt: text of the prompt (question or instruction)
+- language: language of the prompt
+
+All language subsets of the dataset share the same fields as above.
+
+## Authorship
+- Publishing Organization: Cohere Labs
+- Industry Type: Not-for-profit - Tech
+- Contact Details: https://cohere.com/research
+
+## Licensing Information
+This dataset can be used for any purpose, whether academic or commercial, under the terms of the Apache 2.0 License.
+
+## Citation
+```
+@misc{khairi2025lifegivessamplesbenefits,
+      title={When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs}, 
+      author={Ammar Khairi and Daniel D'souza and Ye Shen and Julia Kreutzer and Sara Hooker},
+      year={2025},
+      eprint={2506.20544},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2506.20544}, 
+}
+```
+
+## Disclaimer
+The translation into 22 languages is performed with an in-house state-of-the-art translation model.