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aimlresearch2023
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distilabel_13

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metadata
size_categories: n<1K
dataset_info:
  - config_name: keep_columns
    features:
      - name: instruction
        dtype: string
      - name: generations
        sequence: string
      - name: generation_models
        sequence: string
      - name: ratings
        sequence: int64
      - name: rationales
        sequence: string
    splits:
      - name: train
        num_bytes: 8983
        num_examples: 3
    download_size: 32178
    dataset_size: 8983
  - config_name: push_to_argilla
    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_models
        sequence: string
      - name: generations
        sequence: string
      - name: model_name
        dtype: string
      - name: ratings
        sequence: int64
      - name: rationales
        sequence: string
    splits:
      - name: train
        num_bytes: 11296
        num_examples: 3
    download_size: 44690
    dataset_size: 11296
configs:
  - config_name: keep_columns
    data_files:
      - split: train
        path: keep_columns/train-*
  - config_name: push_to_argilla
    data_files:
      - split: train
        path: push_to_argilla/train-*
tags:
  - synthetic
  - distilabel
  - rlaif

Built with Distilabel

Dataset Card for distilabel_13

This dataset has been created with distilabel.

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:

distilabel pipeline run --config "https://huggingface.co/datasets/aimlresearch2023/distilabel_13/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/aimlresearch2023/distilabel_13/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: keep_columns 
{
    "generation_models": [
        "meta-llama/Meta-Llama-3-8B-Instruct",
        "Qwen/Qwen1.5-0.5B-Chat"
    ],
    "generations": [
        "**Homemade All-Purpose Cleaner Recipe**\n\n**Ingredients:**\n\n* 1 cup water\n* 1/2 cup white vinegar\n* 2 tablespoons castile soap (such as Dr. Bronner\u0027s)\n* 10 drops lemon essential oil (optional)\n* 10 drops tea tree essential oil (optional)\n\n**Instructions:**\n\n1. **Mix the Water and Vinegar:**\nPour the water and white vinegar into a large bowl or measuring cup. Stir until the vinegar is fully dissolved.\n\n[Visual: A photo of a bowl with water and vinegar being mixed.]\n\n2. **Add the Castile Soap:**\nAdd the castile soap to the water-vinegar mixture. Stir until the soap is fully dissolved and the mixture is smooth.\n\n[Visual: A photo of the castile soap being added to the mixture and stirred.]\n\n3. **Add Essential Oils (Optional):**\nIf you\u0027re using essential oils, add the lemon and tea tree oils to the mixture. Stir well to combine.\n\n[Visual: A photo of the essential oils being added to the mixture.]\n\n**Tips for Storing the Cleaner:**\n\n* Store the cleaner in a clean, airtight container to prevent contamination and spoilage.\n* Label the container with the date and contents.\n* Keep the cleaner away from children and pets.\n* Use a clean sponge or cloth to apply the cleaner to surfaces.\n\n**Additional Variations or Scents:**\n\n* **Lemon and Eucalyptus:**\nAdd 10 drops of lemon essential oil and 5 drops of eucalyptus essential oil for a refreshing and decongesting scent.\n* **Fresh and Floral:**\nAdd 10 drops of lavender essential oil and 5 drops of geranium essential oil for a calming and floral scent.\n* **Citrus Burst:**\nAdd 10 drops of grapefruit essential oil and 5 drops of orange essential oil for a bright and citrusy scent.\n\n**Using the Cleaner:**\n\n* Apply the cleaner to surfaces using a clean sponge or cloth.\n* Wipe down surfaces, such as countertops, sinks, and mirrors.\n* Rinse surfaces with warm water and dry with a clean towel.\n\n**Benefits of the Homemade Cleaner:**\n\n* Non-toxic and biodegradable\n* Gentle on surfaces and the environment\n* Cost-effective and easy to make\n* Customizable scents and ingredients\n\n**Troubleshooting Tips:**\n\n* If the cleaner is too thick, add a little more water.\n* If the cleaner is too thin, add a little more castile soap.\n* If the cleaner doesn\u0027t foam, add a little more castile soap.\n\nBy following these simple steps and using common household ingredients, you can create a safe and effective all-purpose cleaner that\u0027s perfect for cleaning your home.",
        null
    ],
    "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.",
    "ratings": [
        null,
        null,
        null,
        null,
        null,
        null,
        null,
        null,
        null,
        null
    ],
    "rationales": [
        null,
        null,
        null,
        null,
        null,
        null,
        null,
        null,
        null,
        null
    ]
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("aimlresearch2023/distilabel_13", "keep_columns")
Configuration: push_to_argilla 
{
    "agreement_ratio": 1.0,
    "avg_rating": 5.0,
    "cluster_description": "Sustainable Packaging \u0026 Skin Care Products",
    "generation_models": [
        "meta-llama/Meta-Llama-3-8B-Instruct",
        "Qwen/Qwen1.5-0.5B-Chat"
    ],
    "generations": [
        "**Homemade All-Purpose Cleaner Recipe**\n\n**Ingredients:**\n\n* 1 cup water\n* 1/2 cup white vinegar\n* 2 tablespoons castile soap (such as Dr. Bronner\u0027s)\n* 10 drops lemon essential oil (optional)\n* 10 drops tea tree essential oil (optional)\n\n**Instructions:**\n\n1. **Mix the Water and Vinegar:**\nPour the water and white vinegar into a large bowl or measuring cup. Stir until the vinegar is fully dissolved.\n\n[Visual: A photo of a bowl with water and vinegar being mixed.]\n\n2. **Add the Castile Soap:**\nAdd the castile soap to the water-vinegar mixture. Stir until the soap is fully dissolved and the mixture is smooth.\n\n[Visual: A photo of the castile soap being added to the mixture and stirred.]\n\n3. **Add Essential Oils (Optional):**\nIf you\u0027re using essential oils, add the lemon and tea tree oils to the mixture. Stir well to combine.\n\n[Visual: A photo of the essential oils being added to the mixture.]\n\n**Tips for Storing the Cleaner:**\n\n* Store the cleaner in a clean, airtight container to prevent contamination and spoilage.\n* Label the container with the date and contents.\n* Keep the cleaner away from children and pets.\n* Use a clean sponge or cloth to apply the cleaner to surfaces.\n\n**Additional Variations or Scents:**\n\n* **Lemon and Eucalyptus:**\nAdd 10 drops of lemon essential oil and 5 drops of eucalyptus essential oil for a refreshing and decongesting scent.\n* **Fresh and Floral:**\nAdd 10 drops of lavender essential oil and 5 drops of geranium essential oil for a calming and floral scent.\n* **Citrus Burst:**\nAdd 10 drops of grapefruit essential oil and 5 drops of orange essential oil for a bright and citrusy scent.\n\n**Using the Cleaner:**\n\n* Apply the cleaner to surfaces using a clean sponge or cloth.\n* Wipe down surfaces, such as countertops, sinks, and mirrors.\n* Rinse surfaces with warm water and dry with a clean towel.\n\n**Benefits of the Homemade Cleaner:**\n\n* Non-toxic and biodegradable\n* Gentle on surfaces and the environment\n* Cost-effective and easy to make\n* Customizable scents and ingredients\n\n**Troubleshooting Tips:**\n\n* If the cleaner is too thick, add a little more water.\n* If the cleaner is too thin, add a little more castile soap.\n* If the cleaner doesn\u0027t foam, add a little more castile soap.\n\nBy following these simple steps and using common household ingredients, you can create a safe and effective all-purpose cleaner that\u0027s perfect for cleaning your home.",
        null
    ],
    "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": "meta-llama/Meta-Llama-3-8B-Instruct",
    "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"
        }
    ],
    "ratings": [
        null,
        null,
        null,
        null,
        null,
        null,
        null,
        null,
        null,
        null
    ],
    "rationales": [
        null,
        null,
        null,
        null,
        null,
        null,
        null,
        null,
        null,
        null
    ],
    "raw_responses": [
        5,
        5
    ],
    "topic": "Environmental Issues"
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("aimlresearch2023/distilabel_13", "push_to_argilla")