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---
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: 903807
num_examples: 1500
download_size: 618051
dataset_size: 903807
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
---
<p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for cohere-wikipedia-2023-11-cs-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-cs-queries/raw/main/pipeline.yaml"
```
or explore the configuration:
```console
distilabel pipeline info --config "https://huggingface.co/datasets/rasdani/cohere-wikipedia-2023-11-cs-queries/raw/main/pipeline.yaml"
```
## Dataset structure
The examples have the following structure per configuration:
<details><summary> Configuration: default </summary><hr>
```json
{
"_id": "20231101.cs_19_9",
"model_name": "gpt-4o",
"query": "Kdo objevil rentgenov\u00e9 z\u00e1\u0159en\u00ed a kdy k tomu do\u0161lo?",
"score": 1.0,
"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.",
"title": "Fyzika",
"url": "https://cs.wikipedia.org/wiki/Fyzika",
"views": 4458.917356449113
}
```
This subset can be loaded as:
```python
from datasets import load_dataset
ds = load_dataset("rasdani/cohere-wikipedia-2023-11-cs-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-cs-queries")
```
</details>
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