Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
csv
Languages:
Chinese
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
CHANGED
@@ -1,5 +1,6 @@
|
|
1 |
---
|
2 |
-
license:
|
|
|
3 |
task_categories:
|
4 |
- question-answering
|
5 |
language:
|
@@ -24,8 +25,4 @@ size_categories:
|
|
24 |
|
25 |
We present TMMLU+ a traditional Chinese massive multitask language understanding dataset. TMMLU+ is a multiple-choice question-answering dataset with 66 subjects from elementary to professional level.
|
26 |
|
27 |
-
TMMLU+ dataset is 6 times larger and contains more balanced subjects compared to the previous version, [TMMLU](https://github.com/mtkresearch/MR-Models/tree/main/TC-Eval/data/TMMLU). We included benchmark results in TMMLU+ from closed-source models and 20 open-weight Chinese large language models of parameters ranging from 1.8B to 72B. Benchmark results show Traditional Chinese variants still lag behind those trained on Simplified Chinese major models.
|
28 |
-
|
29 |
-
|
30 |
-
|
31 |
-
|
|
|
1 |
---
|
2 |
+
license: other
|
3 |
+
license_name: creative-commons-by-nc
|
4 |
task_categories:
|
5 |
- question-answering
|
6 |
language:
|
|
|
25 |
|
26 |
We present TMMLU+ a traditional Chinese massive multitask language understanding dataset. TMMLU+ is a multiple-choice question-answering dataset with 66 subjects from elementary to professional level.
|
27 |
|
28 |
+
TMMLU+ dataset is 6 times larger and contains more balanced subjects compared to the previous version, [TMMLU](https://github.com/mtkresearch/MR-Models/tree/main/TC-Eval/data/TMMLU). We included benchmark results in TMMLU+ from closed-source models and 20 open-weight Chinese large language models of parameters ranging from 1.8B to 72B. Benchmark results show Traditional Chinese variants still lag behind those trained on Simplified Chinese major models.
|
|
|
|
|
|
|
|