Update README.md

README.md

@@ -1,42 +1,43 @@
----
-license: apache-2.0
-task_categories:
-- question-answering
-language:
-- th
-configs:
-- config_name: onet
-  data_files: 
-  - split: train
-    path: "data/onet/onet_train.jsonl"
-  - split: test
-    path: "data/onet/onet_test.jsonl"
-- config_name: ic
-  data_files: 
-  - split: train
-    path: "data/ic/ic_train.jsonl"
-  - split: test
-    path: "data/ic/ic_test.jsonl"
-- config_name: tgat
-  data_files: 
-  - split: train
-    path: "data/tgat/tgat_train.jsonl"
-  - split: test
-    path: "data/tgat/tgat_test.jsonl"
-- config_name: tpat1
-  data_files: 
-  - split: train
-    path: "data/tpat1/tpat1_train.jsonl"
-  - split: test
-    path: "data/tpat1/tpat1_test.jsonl"
-- config_name: a_level
-  data_files: 
-  - split: train
-    path: "data/a_level/a_level_train.jsonl"
-  - split: test
-    path: "data/a_level/a_level_test.jsonl"
-
----
+---
+license: apache-2.0
+task_categories:
+- question-answering
+language:
+- th
+configs:
+- config_name: onet
+  data_files:
+  - split: train
+    path: data/onet/onet_train.jsonl
+  - split: test
+    path: data/onet/onet_test.jsonl
+- config_name: ic
+  data_files:
+  - split: train
+    path: data/ic/ic_train.jsonl
+  - split: test
+    path: data/ic/ic_test.jsonl
+- config_name: tgat
+  data_files:
+  - split: train
+    path: data/tgat/tgat_train.jsonl
+  - split: test
+    path: data/tgat/tgat_test.jsonl
+- config_name: tpat1
+  data_files:
+  - split: train
+    path: data/tpat1/tpat1_train.jsonl
+  - split: test
+    path: data/tpat1/tpat1_test.jsonl
+- config_name: a_level
+  data_files:
+  - split: train
+    path: data/a_level/a_level_train.jsonl
+  - split: test
+    path: data/a_level/a_level_test.jsonl
+size_categories:
+- n<1K
+---
 
 # Dataset Card for Thai\_Exam
 
@@ -53,7 +54,7 @@ ThaiExam is a Thai knowledge benchmarking dataset, consisting of multiple-choice
 5. **A-Level**: The A-Level exam is an academic knowledge assessment examination (Applied Knowledge Level) covering general foundational subjects. The content assessed in this examination aligns with the curriculum guidelines and emphasizes the practical application of knowledge in daily life. We collected a total of 132 questions and answers.
 
 # Usage
-The train split can be used for N-shot evaluation (in-context examples), and we provide an N-shot evaluation script [here]().
+For each exam, the train split, consisting of 5 examples, can be used for 5-shot evaluation (in-context examples), and we provide a 5-shot evaluation script [here]().
 
 # HELM
 This dataset has been integrated into [the HELM leaderboard](https://crfm.stanford.edu/helm/thai/latest/#leaderboard) by Stanford CRFM.