--- size_categories: n<1K dataset_info: features: - name: _id dtype: string - name: url dtype: string - name: title dtype: string - name: text dtype: string - name: score dtype: float64 - name: views dtype: float64 - name: model_name dtype: string - name: query dtype: string splits: - name: train num_bytes: 799214 num_examples: 1500 download_size: 515711 dataset_size: 799214 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif ---

Built with Distilabel

# Dataset Card for cohere-wikipedia-2023-11-da-queries This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## 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: ```console distilabel pipeline run --config "https://huggingface.co/datasets/rasdani/cohere-wikipedia-2023-11-da-queries/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/rasdani/cohere-wikipedia-2023-11-da-queries/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration:
Configuration: default
```json { "_id": "20231101.da_12466_8", "model_name": "gpt-4o", "query": "Hvilke symptomer er forbundet med COVID-19?", "score": 1.0, "text": "Symptomerne p\u00e5 COVID-19 sygdommen er influenza-lignende inklusive feber, hoste, \u00e5nden\u00f8d, muskelsmerter og tr\u00e6thed. Infektionen kan resultere i lungebet\u00e6ndelse, akut lungesvigt (ARDS), sepsis, septisk shock og cytokin-storm, som kan medf\u00f8re d\u00f8den. For folk med et nedsat immunforsvar kan virusset ramme de nedre luftveje og give lungebet\u00e6ndelse eller bronkitis.", "title": "Coronavirus", "url": "https://da.wikipedia.org/wiki/Coronavirus", "views": 2429.9847622863713 } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("rasdani/cohere-wikipedia-2023-11-da-queries", "default") ``` Or simply as it follows, since there's only one configuration and is named `default`: ```python from datasets import load_dataset ds = load_dataset("rasdani/cohere-wikipedia-2023-11-da-queries") ```