Datasets:
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 obtainedoriginal-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.