size_categories: n<1K | |
dataset_info: | |
features: | |
- name: text | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
'0': budget-friendly | |
'1': practical | |
'2': fashionable | |
'3': high-end | |
splits: | |
- name: train | |
num_bytes: 2988 | |
num_examples: 10 | |
download_size: 4866 | |
dataset_size: 2988 | |
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: data/train-* | |
tags: | |
- synthetic | |
- distilabel | |
- rlaif | |
- datacraft | |
<p align="left"> | |
<a href="https://github.com/argilla-io/distilabel"> | |
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/> | |
</a> | |
</p> | |
# Dataset Card for my-distiset-64eab852 | |
This dataset has been created with [distilabel](https://distilabel.argilla.io/). | |
## Dataset Summary | |
This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: | |
```console | |
distilabel pipeline run --config "https://huggingface.co/datasets/apol/my-distiset-64eab852/raw/main/pipeline.yaml" | |
``` | |
or explore the configuration: | |
```console | |
distilabel pipeline info --config "https://huggingface.co/datasets/apol/my-distiset-64eab852/raw/main/pipeline.yaml" | |
``` | |
## Dataset structure | |
The examples have the following structure per configuration: | |
<details><summary> Configuration: default </summary><hr> | |
```json | |
{ | |
"label": 3, | |
"text": "This sleek and luxurious Italian leather backpack features an intricate gold buckle and premium stitching, perfect for carrying your laptop, tablet, and other essentials to and from work or travel." | |
} | |
``` | |
This subset can be loaded as: | |
```python | |
from datasets import load_dataset | |
ds = load_dataset("apol/my-distiset-64eab852", "default") | |
``` | |
Or simply as it follows, since there's only one configuration and is named `default`: | |
```python | |
from datasets import load_dataset | |
ds = load_dataset("apol/my-distiset-64eab852") | |
``` | |
</details> | |