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--- |
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language: |
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- en |
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size_categories: n<1K |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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- name: labels |
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sequence: |
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class_label: |
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names: |
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'0': other |
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'1': software-error |
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'2': hardware-issue |
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'3': connectivity-problem |
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'4': system-update |
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splits: |
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- name: train |
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num_bytes: 22658 |
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num_examples: 100 |
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download_size: 11564 |
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dataset_size: 22658 |
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configs: |
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- config_name: default |
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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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<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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# Dataset Card for technical-support-dataset |
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This dataset has been created with [distilabel](https://distilabel.argilla.io/). |
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## Dataset Summary |
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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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```console |
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distilabel pipeline run --config "https://huggingface.co/datasets/hk-gaianet/technical-support-dataset/raw/main/pipeline.yaml" |
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``` |
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or explore the configuration: |
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```console |
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distilabel pipeline info --config "https://huggingface.co/datasets/hk-gaianet/technical-support-dataset/raw/main/pipeline.yaml" |
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``` |
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## Dataset structure |
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The examples have the following structure per configuration: |
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<details><summary> Configuration: default </summary><hr> |
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```json |
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{ |
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"labels": [ |
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1, |
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4 |
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], |
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"text": "The error message \u00270x80004005\u0027 keeps popping up whenever I try to install a new application. I\u0027ve tried reinstalling the OS and the app, but the issue persists." |
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} |
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``` |
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This subset can be loaded as: |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("hk-gaianet/technical-support-dataset", "default") |
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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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```python |
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from datasets import load_dataset |
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ds = load_dataset("hk-gaianet/technical-support-dataset") |
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``` |
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</details> |
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