| --- |
| license: other |
| license_name: other |
| license_link: LICENSE |
| task_categories: |
| - question-answering |
| language: |
| - ja |
| - en |
| size_categories: |
| - 100K<n<1M |
| --- |
| # PoliteChatDataset |
|
|
| ## Dataset Summary: |
| This dataset is a collection of datasets intended for various language models, with response formats standardized using an LLM. |
| The reformatting process preserves the writing style and persona of the original responses; the responses were not generated by the LLM from scratch. |
|
|
| ## Intended training: |
| The aim is to have the model acquire basic knowledge and common sense during the initial phase of SFT (Supervised Fine-Tuning). |
|
|
| ## License |
|
|
| This dataset contains LLM-transformed records derived from multiple source datasets distributed under different licenses. |
|
|
| The response text was generated by stylistically rewriting the original response with a large language model (LLM), while preserving its underlying content. |
|
|
| Each record contains: |
|
|
| - `source`: the URL from which the source data was obtained |
| - `original-license`: the license associated with the original source data |
|
|
| Because the records originate from datasets distributed under different licenses, this dataset is not distributed under a single uniform license. |
|
|
| Users must comply with the applicable terms of the source license identified by `original-license`, to the extent those terms apply to the transformed material. Depending on the source, these terms may include attribution, preservation of notices, indication of modifications, non-commercial restrictions, ShareAlike requirements, or database-specific obligations. |
|
|
| Records originating from licenses that prohibit redistribution of modified material, such as CC BY-ND and CC BY-NC-ND, have been excluded from this dataset. |
|
|
| Please refer to `LICENSE`, the `original-license` field, and the corresponding `source` for details. |
