| --- |
| dataset_info: |
| features: |
| - name: conversations |
| list: |
| - name: from |
| dtype: string |
| - name: value |
| dtype: string |
| - name: source |
| dtype: string |
| - name: score |
| dtype: float64 |
| splits: |
| - name: train |
| num_bytes: 239650960.7474458 |
| num_examples: 100000 |
| download_size: 116531415 |
| dataset_size: 239650960.7474458 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # FineTome-100k |
|
|
|  |
|
|
| The FineTome dataset is a subset of [arcee-ai/The-Tome](https://huggingface.co/datasets/arcee-ai/The-Tome) (without arcee-ai/qwen2-72b-magpie-en), re-filtered using [HuggingFaceFW/fineweb-edu-classifier](https://huggingface.co/HuggingFaceFW/fineweb-edu-classifier). |
|
|
| It was made for my article ["Fine-tune Llama 3.1 Ultra-Efficiently with Unsloth"](https://huggingface.co/blog/mlabonne/sft-llama3). |
