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Datasets:
silvaKenpachi
/
my-distiset-6b7dded7

Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Size:
< 1K
Tags:
Synthetic
distilabel
rlaif
datacraft
Libraries:
Datasets
pandas
Dataset card Data Studio Files
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1
my-distiset-6b7dded7
File size: 2,787 Bytes 
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---
size_categories: n<1K
task_categories:
- text-classification
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': pneumonia
          '1': varicose veins
          '2': impetigo
          '3': allergy
          '4': fungal infection
          '5': arthritis
          '6': migraine
          '7': jaundice
          '8': typhoid
          '9': acne
          '10': dengue
          '11': gastroesophageal reflux disease
          '12': psoriasis
          '13': chicken pox
          '14': urinary tract infection
          '15': dimorphic hemorrhoids
          '16': drug reaction
          '17': peptic ulcer disease
          '18': malaria
          '19': common cold
          '20': cervical spondylosis
          '21': diabetes
          '22': bronchial asthma
          '23': hypertension
  splits:
  - name: train
    num_bytes: 20611
    num_examples: 100
  download_size: 13446
  dataset_size: 20611
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-6b7dded7

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/silvaKenpachi/my-distiset-6b7dded7/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/silvaKenpachi/my-distiset-6b7dded7/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


<details><summary> Configuration: default </summary><hr>

```json
{
    "label": 9,
    "text": "The patient presents with inflamed red bumps on the face, particularly on the forehead, chin, and cheeks, accompanied by blackheads and occasional pus-filled pimples. The skin is oily to the touch, and the patient has experienced recent stress."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("silvaKenpachi/my-distiset-6b7dded7", "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("silvaKenpachi/my-distiset-6b7dded7")
```


</details>