OliveSensorAPI/datasets/README_EN.md
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基于母亲角色的多轮对话模型微调完毕。已上传到 Huggingface。

* 多轮对话母亲角色的微调的脚本

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加上了王几行XING 和 思在 的作者信息

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---------

Co-authored-by: jujimeizuo <fengzetao.zed@foxmail.com>
Co-authored-by: xzw <62385492+aJupyter@users.noreply.github.com>
Co-authored-by: Zeyu Ba <72795264+ZeyuBa@users.noreply.github.com>
Co-authored-by: Bryce Wang <90940753+brycewang2018@users.noreply.github.com>
Co-authored-by: zealot52099 <songyan5209@163.com>
Co-authored-by: HongCheng <kwchenghong@gmail.com>
Co-authored-by: Yicong <yicooong@qq.com>
Co-authored-by: Yicooong <54353406+Yicooong@users.noreply.github.com>
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Co-authored-by: MING_X <119648793+MING-ZCH@users.noreply.github.com>
Co-authored-by: Ikko Eltociear Ashimine <eltociear@gmail.com>
Co-authored-by: HatBoy <null2none@163.com>
Co-authored-by: ZhouXinAo <142309012+zxazys@users.noreply.github.com>
2024-04-14 10:09:17 +08:00

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# EmoLLM's datasets
* Category of dataset: **General** and **Role-play**
* Type of data: **QA** and **Conversation**
* Summary: General(**6 datasets**), Role-play(**5 datasets**)
## Category
* **General**: generic dataset, including psychological Knowledge, counseling technology, etc.
* **Role-play**: role-playing dataset, including character-specific conversation style data, etc.
## Type
* **QA**: question-and-answer pair
* **Conversation**: multi-turn consultation dialogue
## Summary
| Category | Dataset | Type | Total |
| :---------: | :-------------------: | :----------: | :-----: |
| *General* | data | Conversation | 5600+ |
| *General* | data_pro | Conversation | 36,500+ |
| *General* | multi_turn_dataset_1 | Conversation | 36,000+ |
| *General* | multi_turn_dataset_2 | Conversation | 27,000+ |
| *General* | single_turn_dataset_1 | QA | 14,000+ |
| *General* | single_turn_dataset_2 | QA | 18,300+ |
| *Role-play* | aiwei | Conversation | 4000+ |
| *Role-play* | SoulStar | QA | 11,200+ |
| *Role-play* | tiangou | Conversation | 3900+ |
| *Role-play* | mother | Conversation | 40,300+ |
| *Role-play* | scientist | Conversation | 28,400+ |
| …… | …… | …… | …… |
## Source
**General**
* dataset `data` from this repo
* dataset `data_pro` from this repo
* dataset `multi_turn_dataset_1` from [Smile](https://github.com/qiuhuachuan/smile)
* dataset `multi_turn_dataset_2` from [CPsyCounD](https://github.com/CAS-SIAT-XinHai/CPsyCoun)
* dataset `single_turn_dataset_1` from this repo
* dataset `single_turn_dataset_2` from this repo
**Role-play**
* 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.
https://algonotes.readthedocs.io/en/latest/Simhash.html