HuggingFaceTB/smoltalk2_everyday_convs_think

---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 12987156
num_examples: 1851
- name: test
num_bytes: 1445356
num_examples: 206
download_size: 6739583
dataset_size: 14432512
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---

# 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"])
```