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README.md
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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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<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 cohere-wikipedia-2023-11-cs-queries
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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/rasdani/cohere-wikipedia-2023-11-cs-queries/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/rasdani/cohere-wikipedia-2023-11-cs-queries/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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"_id": "20231101.cs_19_9",
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"model_name": "gpt-4o",
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"query": "Kdo objevil rentgenov\u00e9 z\u00e1\u0159en\u00ed a kdy k tomu do\u0161lo?",
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"score": 1.0,
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"text": "Roku 1895 Wilhelm Conrad R\u00f6ntgen objevuje \u201epaprsky X\u201c (rentgenov\u00e9 z\u00e1\u0159en\u00ed), o rok pozd\u011bji Henri Becquerel objevuje radioaktivitu, o dal\u0161\u00ed rok pozd\u011bji Joseph John Thomson objevuje elektron. Pierre Curie a Marie Curie-Sk\u0142odowsk\u00e1 studuj\u00ed j\u00e1chymovsk\u00e9 radium. Vznik\u00e1 tak jadern\u00e1 fyzika.",
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"title": "Fyzika",
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"url": "https://cs.wikipedia.org/wiki/Fyzika",
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"views": 4458.917356449113
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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("rasdani/cohere-wikipedia-2023-11-cs-queries", "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("rasdani/cohere-wikipedia-2023-11-cs-queries")
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```
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</details>
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