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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-it-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-it-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-it-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.it_215186_8",
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"model_name": "gpt-4o",
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"query": "Perch\u00e9 il nome della citt\u00e0 di Stalingrado fu cambiato in Volgograd nel 1961?",
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"score": 1.0,
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"text": "Il 10 novembre 1961, per decisione dell\u0027allora segretario generale del PCUS Nikita Chru\u0161\u010d\u0451v, il nome della citt\u00e0 fu cambiato in Volgograd, ovvero Citt\u00e0 del Volga, nel quadro delle politiche di destalinizzazione dell\u0027URSS. Questa scelta gener\u00f2 all\u0027epoca diverse controversie, data la fama del nome Stalingrado.",
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"title": "Volgograd",
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"url": "https://it.wikipedia.org/wiki/Volgograd",
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"views": 9376.39248712274
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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-it-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-it-queries")
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```
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</details>
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