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  ---
 
 
 
 
 
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  dataset_info:
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  features:
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  - name: prompt
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  data_files:
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  - split: train
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  path: data/train-*
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ size_categories: n<1K
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+ task_categories:
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+ - text-generation
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+ - text2text-generation
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+ - question-answering
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  dataset_info:
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  features:
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  - name: prompt
 
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  data_files:
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  - split: train
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  path: data/train-*
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+ tags:
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+ - synthetic
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+ - distilabel
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+ - rlaif
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+ - datacraft
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  ---
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+
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+ <p align="left">
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+ <a href="https://github.com/argilla-io/distilabel">
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+ <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
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+ </a>
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+ </p>
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+
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+ # Dataset Card for test-synthetic-dataset
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+
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+ This dataset has been created with [distilabel](https://distilabel.argilla.io/).
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+
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+
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+
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+ ## Dataset Summary
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+
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+ This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI:
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+
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+ ```console
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+ distilabel pipeline run --config "https://huggingface.co/datasets/MJannik/test-synthetic-dataset/raw/main/pipeline.yaml"
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+ ```
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+
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+ or explore the configuration:
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+
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+ ```console
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+ distilabel pipeline info --config "https://huggingface.co/datasets/MJannik/test-synthetic-dataset/raw/main/pipeline.yaml"
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+ ```
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+
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+ ## Dataset structure
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+
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+ The examples have the following structure per configuration:
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+
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+
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+ <details><summary> Configuration: default </summary><hr>
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+
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+ ```json
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+ {
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+ "completion": null,
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+ "prompt": "My internet is out and I\u0027m still being charged for the bill. I\u0027ve tried restarting the modem and it didn\u0027t work. What\u0027s the first step you can take to resolve this issue? \n\n",
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+ "system_prompt": "You are a customer service representative for a large phone company, known for handling a high volume of customer calls and inquiries. Your purpose is to efficiently resolve customer issues, address complaints, and provide essential information about phone services, plans, and features. Respond to irritated or frustrated customers with a direct and slightly snarky tone, maintaining a professional demeanor while still conveying a sense of assertiveness. Be prepared to escalate issues when necessary, but provide solutions or alternatives to satisfy the customer whenever possible. User questions are direct and concise."
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+ }
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+ ```
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+
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+ This subset can be loaded as:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("MJannik/test-synthetic-dataset", "default")
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+ ```
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+
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+ Or simply as it follows, since there's only one configuration and is named `default`:
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+
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+ ```python
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+ from datasets import load_dataset
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+ ds = load_dataset("MJannik/test-synthetic-dataset")
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+ ```
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+
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+
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+ </details>
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+
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+