Update README.md

README.md

@@ -462,3 +462,82 @@ configs:
   - split: test
     path: zh/test-*
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+
+
+## Dataset Card for m-ArenaHard
+
+### Dataset Details
+
+The m-ArenaHard dataset is a multilingual LLM evaluation set. This dataset was created by translating the prompts from the originally English-only LMarena (formerly LMSYS) arena-hard-auto-v0.1 test dataset using Google Translate API v3 to 22 languages. The original English-only prompts were created by Li et al. (2024) and consist of 500 challenging user queries sourced from Chatbot Arena. The authors show that these can be used to perform automatic LLM judge evaluations, which exhibit a high correlation with Chatbot Arena rankings.
+The 23 languages included in this dataset:
+
+- 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("CohereForAI/m_ArenaHard", "en")
+```
+
+The above code block will load only the English subset of the entire dataset. You can load other subsets by specifying other supported languages of interest or the entire dataset by leaving that argument as blank.
+
+
+### Dataset Structure
+
+An instance of the data from the Persian subset looks as follows:
+
+```python
+{'question_id': '328c149ed45a41c0b9d6f14659e63599',
+ 'cluster': 'Acrobat PDF Management Tips',
+ 'category': 'arena-hard-v0.1',
+ 'prompt': 'چگونه نوار ابزار را در یک قطعه اضافه کنیم؟'
+}
+```
+
+### Dataset Fields
+
+The following are the fields in the dataset:
+
+- question_id: a unique ID for the example
+- cluster: the topic of the example
+- category: the original dataset where the example is from
+- prompt: text of the prompt (question or instruction)
+  
+All language subsets of the dataset share the same fields as above.
+
+### Authorship
+
+- Publishing Organization: [Cohere For AI](https://cohere.com/research)
+- Industry Type: Not-for-profit - Tech
+- Contact Details: https://cohere.com/research/aya
+
+### Licensing Information
+
+This dataset can be used for any purpose, whether academic or commercial, under the terms of the Apache 2.0 License.