update readme

README.md

@@ -1,17 +1,59 @@
 ---
-license: apache-2.0
+license: cc-by-4.0
 dataset_info: null
 configs:
-  - config_name: CulturalBench-Hard
-    default: true
-    data_files:
-      - split: test
-        path: CulturalBench-Hard.csv
-  - config_name: CulturalBench-Easy
-    data_files:
-      - split: test
-        path: CulturalBench-Easy.csv
+- config_name: CulturalBench-Hard
+  default: true
+  data_files:
+  - split: test
+    path: CulturalBench-Hard.csv
+- config_name: CulturalBench-Easy
+  data_files:
+  - split: test
+    path: CulturalBench-Easy.csv
 size_categories:
-  - 1K<n<10K
+- 1K<n<10K
 pretty_name: CulturalBench
 ---
+# CulturalBench - a Robust, Diverse and Challenging Benchmark on Measuring the (Lack of) Cultural Knowledge of LLMs
+- CulturalBench is a set of 1,227 human-written and human-verified questions for effectively assessing LLMs’ cultural knowledge, covering 45 global regions including the underrepresented ones like Bangladesh, Zimbabwe, and Peru.
+- We evaluate models on two setups: CulturalBench-Easy and CulturalBench-Hard which share the same questions but asked differently.
+  1. CulturalBench-Easy: multiple-choice questions (Output: one out of four options i.e. A,B,C,D). Evaluate model accuracy at question level (i.e. per `question_idx`). There are 1,227 questions in total.
+  2. CulturalBench-Hard: binary (Output: one out of two possibilties i.e. True/False). Evaluate model accuracy at question level (i.e. per `question_idx`). There are 1,227x4=4908 binary judgements in total with 1,227 questions provided.
+
+- See details on CulturalBench paper at [https://arxiv.org/pdf/2410.02677](https://arxiv.org/pdf/2410.02677).
+- Examples of questions in two setups:
+  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65fcaae6e5dc5b0ec1b726cf/4LU3Ofl9lzeJGVME3yBMp.png)
+
+- Country distribution
+  | Continent             | Num of questions | Included Country/Region                                        |
+  |-----------------------|------------------|----------------------------------------------------------------|
+  | North America         | 27               | Canada; United States                                          |
+  | South America         | 150              | Argentina; Brazil; Chile; Mexico; Peru                         |
+  | East Europe           | 115              | Czech Republic; Poland; Romania; Ukraine; Russia               |
+  | South Europe          | 76               | Spain; Italy                                                   |
+  | West Europe           | 96               | France; Germany; Netherlands; United Kingdom                   |
+  | Africa                | 134              | Egypt; Morocco; Nigeria; South Africa; Zimbabwe                |
+  | Middle East/West Asia | 127              | Iran; Israel; Lebanon; Saudi Arabia; Turkey                    |
+  | South Asia            | 106              | Bangladesh; India; Nepal; Pakistan                             |
+  | Southeast Asia        | 159              | Indonesia; Malaysia; Philippines; Singapore; Thailand; Vietnam |
+  | East Asia             | 211              | China; Hong Kong; Japan; South Korea; Taiwan                   |
+  | Oceania               | 26               | Australia; New Zealand                                         |
+
+
+## Leaderboard of CulturalBench
+- We evaluated 30 frontier LLMs (update: 2024-10-04 13:20:58) and hosted the leaderboard at [https://huggingface.co/spaces/kellycyy/CulturalBench](https://huggingface.co/spaces/kellycyy/CulturalBench).
+- We find that LLMs are sensitive to such difference in setups (e.g., GPT-4o with 27.3% difference). 
+- Compared to human performance (92.6% accuracy), CULTURALBENCH-Hard is more challenging for frontier LLMs with the best performing model (GPT-4o) at only 61.5% and the worst (Llama3-8b) at 21.4%.
+
+
+
+## How to load the datasets
+
+```
+from datasets import load_dataset
+
+ds_hard = load_dataset("kellycyy/CulturalBench", "CulturalBench-Hard")
+ds_easy = load_dataset("kellycyy/CulturalBench", "CulturalBench-Easy")
+
+```