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[merge] merge new docs from dev bench (#173)

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datasets/README.md
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* 数据集按用处分为两种类型：**General** 和 **Role-play**
* 数据按格式分为两种类型：**QA** 和 **Conversation**
* 数据汇总：General（**6个数据集**）；Role-play（**3个数据集**）
* 数据汇总：General（**6个数据集**）；Role-play（**5个数据集**）
## 数据集类型
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| *Role-play* | aiwei | Conversation | 4000+ |
| *Role-play* | SoulStar | QA | 11200+ |
| *Role-play* | tiangou | Conversation | 3900+ |
| *Role-play* | mother | Conversation | 24,500+ |
| *Role-play* | scientist | Conversation | 28,400+ |
| …… | …… | …… | …… |
## 数据集来源
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* 数据集 aiwei 来自本项目
* 数据集 tiangou 来自本项目
* 数据集 SoulStar 来源 [SoulStar](https://github.com/Nobody-ML/SoulStar)
* 数据集 mother 来自本项目
* 数据集 scientist 来自本项目
## 数据集去重

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datasets/README_EN.md
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* Category of dataset: **General** and **Role-play**
* Type of data: **QA** and **Conversation**
* Summary: General(**6 datasets**), Role-play(**3 datasets**)
* Summary: General(**6 datasets**), Role-play(**5 datasets**)
## Category
* **General**: generic dataset, including psychological Knowledge, counseling technology, etc.
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| *Role-play* | aiwei | Conversation | 4000+ |
| *Role-play* | SoulStar | QA | 11200+ |
| *Role-play* | tiangou | Conversation | 3900+ |
| *Role-play* | mother | Conversation | 24,500+ |
| *Role-play* | scientist | Conversation | 28,400+ |
| …… | …… | …… | …… |
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* dataset `aiwei` from this repo
* dataset `tiangou` from this repo
* dataset `SoulStar` from [SoulStar](https://github.com/Nobody-ML/SoulStar)
* dataset `mother` from this repo
* dataset `scientist` from this repo
**Dataset Deduplication**：
Combine absolute matching with fuzzy matching (Simhash) algorithms to deduplicate the dataset, thereby enhancing the effectiveness of the fine-tuning model. While ensuring the high quality of the dataset, the risk of losing important data due to incorrect matches can be reduced via adjusting the threshold.

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evaluate/README.md
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|-------------------|-----------------------|-------------------|-----------------|---------|
| InternLM2_7B_chat_qlora | 1.32 | 2.20 | 2.10 | 1.00 |
| InternLM2_7B_chat_full | 1.40 | 2.45 | 2.24 | 1.00 |
| InternLM2_20B_chat_lora | 1.42 | 2.39 | 2.22 | 1.00 |

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evaluate/README_EN.md
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| Model | Comprehensiveness | rofessionalism | Authenticity | Safety |
|-------------------|-----------------------|-------------------|-----------------|---------|
| InternLM2_7B_chat_qlora | 1.32 | 2.20 | 2.10 | 1.00 |
| InternLM2_7B_chat_full | 1.40 | 2.45 | 2.24 | 1.00 |
| InternLM2_20B_chat_lora | 1.42 | 2.39 | 2.22 | 1.00 |