smoltalk2_everyday_convs_think

# SmolTalk2


## Dataset description

This dataset contains the `smoltalk_everyday_convs_reasoning_Qwen3_32B_think` from [SmolkTalk2](https://huggingface.co/datasets/HuggingFaceTB/smoltalk2).

We processed the dataset using SmolLM3's chat template and make it available for the SFT exercises from the [smol course](https://huggingface.co/learn/smol-course/unit0/1). The script we used to create the dataset is available in the [create_dataset.py](https://huggingface.co/datasets/HuggingFaceTB/smoltalk2_everyday_convs_think/blob/main/create_dataset.py) file in this repository.

You can load a dataset using
```python
from datasets import load_dataset

# To load the train split you can run
ds = load_dataset("HuggingFaceTB/smoltalk2_everyday_convs_think", split="train"])
```

# SmolTalk2


## 数据集说明

本数据集包含源自[SmolkTalk2](https://huggingface.co/datasets/HuggingFaceTB/smoltalk2)的`smoltalk_everyday_convs_reasoning_Qwen3_32B_think`数据集条目。

我们采用SmolLM3的对话模板对该数据集进行了预处理，使其可用于[smol课程（smol course）](https://huggingface.co/learn/smol-course/unit0/1)中的监督微调（Supervised Fine-Tuning，SFT）练习。

本数据集的制作脚本可在本仓库的[create_dataset.py](https://huggingface.co/datasets/HuggingFaceTB/smoltalk2_everyday_convs_think/blob/main/create_dataset.py)文件中获取。

可通过以下代码加载该数据集：
python
from datasets import load_dataset

# To load the train split you can run
ds = load_dataset("HuggingFaceTB/smoltalk2_everyday_convs_think", split="train"])