UPDATE: all files in datacard

README.md

@@ -53,6 +53,42 @@ configs:
       path: "data/annotations_hf/US_data.json"
     - split: JB
       path: "data/annotations_hf/West_Java_data.json"
+- config_name: short-answer-questions
+  data_files: 
+    - split: DZ
+      path: "data/questions/Algeria_questions.csv"
+    - split: AS
+      path: "data/questions/Assam_questions.csv"
+    - split: AZ
+      path: "data/questions/Azerbaijan_questions.csv"
+    - split: CN
+      path: "data/questions/China_questions.csv"
+    - split: ET
+      path: "data/questions/Ethiopia_questions.csv"
+    - split: GR
+      path: "data/questions/Greece_questions.csv"
+    - split: ID
+      path: "data/questions/Indonesia_questions.csv"
+    - split: IR
+      path: "data/questions/Iran_questions.csv"
+    - split: MX
+      path: "data/questions/Mexico_questions.csv"
+    - split: KP
+      path: "data/questions/North_Korea_questions.csv"
+    - split: NG
+      path: "data/questions/Northern_Nigeria_questions.csv"
+    - split: KR
+      path: "data/questions/South_Korea_questions.csv"
+    - split: ES
+      path: "data/questions/Spain_questions.csv"
+    - split: GB
+      path: "data/questions/UK_questions.csv"
+    - split: US
+      path: "data/questions/US_questions.csv"
+    - split: JB
+      path: "data/questions/West_Java_questions.csv"
+- config_name: multiple-choice-questions
+  data_files: "evaluation/mc_data/mc_questions_file.csv"
 ---
 # BLEnD
 
@@ -70,9 +106,11 @@ Furthermore, we find that LLMs perform better in their local languages for mid-t
 
 ## Dataset
 All the data samples for short-answer questions, including the human-annotated answers, can be found in the `data/` directory.
-Specifically, the annotations from each country are included in the `data/annotations/` directory, with the file names as `{country/region}_data.json`. Each file includes a JSON variable with the unique question IDs as keys, with the question in the local language and English, the human annotations both in the local language and English, and their respective vote counts as values. The same dataset for South Korea is shown below:
+Specifically, the annotations from each country are included in the `annotations/` split, and each country/region's data can be accessed by **country codes**. 
+Each file includes a JSON variable with question IDs, questions in the local language and English, the human annotations both in the local language and English, and their respective vote counts as values. The same dataset for South Korea is shown below:
 ```JSON
-"Al-en-06": {
+[{
+    "ID": "Al-en-06",
     "question": "대한민국 학교 급식에서 흔히 볼 수 있는 음식은 무엇인가요?",
     "en_question": "What is a common school cafeteria food in your country?",
     "annotations": [
@@ -103,11 +141,10 @@ Specifically, the annotations from each country are included in the `data/annota
         "no-answer": 0,
         "not-applicable": 0
     }
-},
+}],
 ```
-We also include the prompts that we used for LLM evaluation in both local languages and English in the data/prompts/ directory. Each file is named `{country/region}_prompts.csv`. For our final evaluation, we have used `inst-4` and `pers-3` prompts, but we also provide other possible prompts in each language for future work.
 
-The topics and source language for each question can be found in `questions`. 
+The topics and source language for each question can be found in `short-answer-questions` split. 
 Questions for each country in their local languages and English can be accessed by **country codes**. Each CSV file question ID, topic, source language, question in English, and the local language (in the `Translation` column) for all questions.
 
  |  **Country/Region**  | **Code**  | **Language**  | **Code**|
@@ -129,3 +166,4 @@ Questions for each country in their local languages and English can be accessed
 |    Northern Nigeria   |    NG    |     Hausa      |    ha
 |        Ethiopia       |    ET    |    Amharic     |    am
 
+The current set of multiple choice questions and their answers can be found at the `multiple-choice-questions` split.