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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.
https://algonotes.readthedocs.io/en/latest/Simhash.html
https://algonotes.readthedocs.io/en/latest/Simhash.html