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  ---
 
 
 
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  dataset_info:
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  features:
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  - name: text
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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-classification
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  dataset_info:
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  features:
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  - name: text
 
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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 my-distiset-50b04df9
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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/fqCF4CpxC3/my-distiset-50b04df9/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/fqCF4CpxC3/my-distiset-50b04df9/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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+ "labels": [
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+ 0
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+ ],
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+ "text": "I recently purchased the new gaming laptop and I\u0027m extremely satisfied with its performance. The display is crystal clear, the processor is fast, and the battery life is impressive. I\u0027ve been using it for gaming and video editing and it handles both tasks with ease. I highly recommend this laptop to anyone looking for a powerful machine."
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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("fqCF4CpxC3/my-distiset-50b04df9", "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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+
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+ ds = load_dataset("fqCF4CpxC3/my-distiset-50b04df9")
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+ ```
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+
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+
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+ </details>
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+