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  ---
 
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  dataset_info:
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  features:
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  - name: _id
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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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  dataset_info:
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  features:
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  - name: _id
 
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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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  ---
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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 cohere-wikipedia-2023-11-fi-queries
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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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+ ## 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/rasdani/cohere-wikipedia-2023-11-fi-queries/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/rasdani/cohere-wikipedia-2023-11-fi-queries/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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+ "_id": "20231101.fi_37360_11",
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+ "model_name": "gpt-4o",
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+ "query": "Miten ohutsuolen imeytymispinta-ala muodostuu?",
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+ "score": 1.0,
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+ "text": "Rengaspoimut laajentavat suolen imeytymispinnan noin kolminkertaiseksi, villukset t\u00e4st\u00e4 viel\u00e4 kymmenkertaiseksi ja mikrovillukset edelleen 20-30-kertaiseksi, niin ett\u00e4 ohutsuolen koko imeytymispinta-alaksi tulee 200-300 m\u00b2.",
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+ "title": "Ohutsuoli",
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+ "url": "https://fi.wikipedia.org/wiki/Ohutsuoli",
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+ "views": 4091.894996237859
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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("rasdani/cohere-wikipedia-2023-11-fi-queries", "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("rasdani/cohere-wikipedia-2023-11-fi-queries")
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+ ```
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+
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+
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+ </details>