Update README.md
Browse files
README.md
CHANGED
@@ -5,7 +5,11 @@ language:
|
|
5 |
- zh
|
6 |
- en
|
7 |
library_name: transformers
|
8 |
-
|
|
|
|
|
|
|
|
|
9 |
---
|
10 |
|
11 |
|
@@ -110,7 +114,7 @@ We have collected a total of 3.6M conversations, approximately 4.51 billion toke
|
|
110 |
|
111 |
### Dataset Construction
|
112 |
|
113 |
-
The data construction for Kyara is divided into two parts: English and Chinese. For the English part, we have incorporated multiple high-quality open-source datasets, such as
|
114 |
|
115 |
#### Base Dataset: Knowledge Injection with Retrieval Augmentation
|
116 |
|
|
|
5 |
- zh
|
6 |
- en
|
7 |
library_name: transformers
|
8 |
+
datasets:
|
9 |
+
- zake7749/kyara-chinese-math-sft-s0-30K
|
10 |
+
- zake7749/kyara-chinese-preference-rl-dpo-s0-30K
|
11 |
+
- zake7749/chinese-sft-stem-zh-hant
|
12 |
+
- zake7749/chinese-sft-stem-zh-hans
|
13 |
---
|
14 |
|
15 |
|
|
|
114 |
|
115 |
### Dataset Construction
|
116 |
|
117 |
+
The data construction for Kyara is divided into two parts: English and Chinese. For the English part, we have incorporated multiple high-quality open-source datasets, such as [teknium/OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5) and [arcee-ai/The-Tome](https://huggingface.co/datasets/arcee-ai/The-Tome), and performing semantic deduplication to drop out near-similar examples. As for the Chinese part, the construction follows the process outlined below:
|
118 |
|
119 |
#### Base Dataset: Knowledge Injection with Retrieval Augmentation
|
120 |
|