size_categories:n<1K format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars library:distilabel region:us synthetic distilabel rlaif
---
size_categories: n<1K
dataset_info:
  features:
  - name: instruction
    dtype: string
  - name: quality
    list:
    - name: status
      dtype: string
    - name: user_id
      dtype: string
    - name: value
      dtype: string
  - name: metadata
    dtype: string
  - name: avg_rating
    dtype: float64
  - name: num_responses
    dtype: int64
  - name: agreement_ratio
    dtype: float64
  - name: raw_responses
    sequence: int64
  - name: kind
    dtype: string
  - name: cluster_description
    dtype: string
  - name: topic
    dtype: string
  - name: generation
    dtype: string
  - name: distilabel_metadata
    struct:
    - name: raw_input_text_generation
      list:
      - name: content
        dtype: string
      - name: role
        dtype: string
    - name: raw_output_text_generation
      dtype: string
  - name: model_name
    dtype: string
  splits:
  - name: train
    num_bytes: 27719
    num_examples: 12
  download_size: 37694
  dataset_size: 27719
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
---

<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 fine-tuning-llm

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/KarinaH/fine-tuning-llm/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/KarinaH/fine-tuning-llm/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "agreement_ratio": 1.0,
    "avg_rating": 5.0,
    "cluster_description": "Sustainable Packaging \u0026 Skin Care Products",
    "distilabel_metadata": {
        "raw_input_text_generation": [
            {
                "content": "Provide step-by-step instructions on how to make a safe and effective homemade all-purpose cleaner from common household ingredients. The guide should include measurements, tips for storing the cleaner, and additional variations or scents that can be added. Additionally, the guide should be written in clear and concise language, with helpful visuals or photographs to aid in the process.",
                "role": "user"
            }
        ],
        "raw_output_text_generation": "Making a homemade all-purpose cleaner is an eco-friendly, cost-effective, and safe alternative to many of the store-bought options. This guide will walk you through how to create your own cleaner using common household ingredients.\n\nHere\u0027s what you\u0027ll need:\n\n1. 1 cup of white vinegar\n2. 1 cup of water\n3. 1/2 lemon (juiced)\n4. 20 drops of essential oil (optional for fragrance)\n5. A spray bottle\n\nSteps:\n\n1. Gather all your ingredients, along with a spray bottle. Any size will do, but a 16-ounce bottle is a good starting"
    },
    "generation": "Making a homemade all-purpose cleaner is an eco-friendly, cost-effective, and safe alternative to many of the store-bought options. This guide will walk you through how to create your own cleaner using common household ingredients.\n\nHere\u0027s what you\u0027ll need:\n\n1. 1 cup of white vinegar\n2. 1 cup of water\n3. 1/2 lemon (juiced)\n4. 20 drops of essential oil (optional for fragrance)\n5. A spray bottle\n\nSteps:\n\n1. Gather all your ingredients, along with a spray bottle. Any size will do, but a 16-ounce bottle is a good starting",
    "instruction": "Provide step-by-step instructions on how to make a safe and effective homemade all-purpose cleaner from common household ingredients. The guide should include measurements, tips for storing the cleaner, and additional variations or scents that can be added. Additionally, the guide should be written in clear and concise language, with helpful visuals or photographs to aid in the process.",
    "kind": "synthetic",
    "metadata": "{\"source\": \"ultrachat\", \"kind\": \"synthetic\", \"evolved_from\": null}",
    "model_name": "gpt-4",
    "num_responses": 2,
    "quality": [
        {
            "status": "submitted",
            "user_id": "d23b12c2-b601-490e-b5b3-2040eb393a00",
            "value": "4"
        },
        {
            "status": "submitted",
            "user_id": "e2bdd868-f28e-46fc-9254-a6ec1e291889",
            "value": "4"
        }
    ],
    "raw_responses": [
        5,
        5
    ],
    "topic": "Environmental Issues"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("KarinaH/fine-tuning-llm", "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("KarinaH/fine-tuning-llm")
```


</details>




