| --- |
| dataset_info: |
| features: |
| - name: conversations |
| list: |
| - name: from |
| dtype: string |
| - name: value |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 19887468 |
| num_examples: 7020 |
| download_size: 9880827 |
| dataset_size: 19887468 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| This dataset by AbacusAI was crafted by Eric Hartford |
| This is a synthetic dataset, generated mainly with Mistral-Medium and dolphin-2.7-mixtral-8x7b |
| The purpose of this dataset is to train the model to respect the System Prompt throughout the entire conversation, no matter how unconventional the system prompt might be. |
| This dataset is under continued development - my intent is to grow it to 100k conversations. |
| But, for now, it is good enough to start using. |
|
|
| AbacusAI 的这个数据集由 Eric Hartford 制作 |
| 这是一个合成数据集，主要由 Mistral-Medium 和 dolphin-2.7-mixtral-8x7b 生成。 |
| 该数据集的目的是训练模型在整个对话过程中都尊重系统提示，无论系统提示多么不合常规。 |
| 这个数据集还在继续开发中--我的目标是将其增加到 10 万个对话。 |
| 但现在，它已经足够好，可以开始使用了。 |
|
|
|
|
