rasdani/cohere-wikipedia-2023-11-ro-queries

---
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: 812939
num_examples: 1500
download_size: 527559
dataset_size: 812939
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
---

<p align="left">
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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"/>
</a>
</p>

# Dataset Card for cohere-wikipedia-2023-11-ro-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-ro-queries/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/rasdani/cohere-wikipedia-2023-11-ro-queries/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:

<details><summary> Configuration: default </summary><hr>

```json
{
"_id": "20231101.ro_98318_29",
"model_name": "gpt-4o",
"query": "Care este valoarea produc\u021biei de medicamente \u00een Ungaria?",
"score": 1.0,
"text": "\u00cen Ungaria, produc\u021bia total\u0103 era de peste 2,5 miliarde dolari, iar \u00een Bulgaria de 150 milioane dolari.",
"title": "Medicament",
"url": "https://ro.wikipedia.org/wiki/Medicament",
"views": 4624.98063775367
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("rasdani/cohere-wikipedia-2023-11-ro-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-ro-queries")
```

</details>

原始信息汇总

数据集概述

数据集基本信息

• 名称: cohere-wikipedia-2023-11-ro-queries
• 大小分类: n<1K
• 创建工具: distilabel

数据集特征

• _id: 字符串类型
• url: 字符串类型
• title: 字符串类型
• text: 字符串类型
• score: 浮点数类型
• views: 浮点数类型
• model_name: 字符串类型
• query: 字符串类型

数据集分割

• 训练集:
  • 数据量: 1500个样本
  • 字节数: 812939字节

数据集大小

• 下载大小: 527559字节
• 数据集大小: 812939字节

配置信息

• 配置名称: default
• 数据文件:
  • 分割: train
  • 路径: data/train-*

标签

• synthetic
• distilabel
• rlaif

数据集结构

• 默认配置:
  • 示例结构: json { "_id": "20231101.ro_98318_29", "model_name": "gpt-4o", "query": "Care este valoarea producu021biei de medicamente u00een Ungaria?", "score": 1.0, "text": "u00cen Ungaria, producu021bia totalu0103 era de peste 2,5 miliarde dolari, iar u00een Bulgaria de 150 milioane dolari.", "title": "Medicament", "url": "https://ro.wikipedia.org/wiki/Medicament", "views": 4624.98063775367 }

加载数据集

• Python代码: python from datasets import load_dataset

  ds = load_dataset("rasdani/cohere-wikipedia-2023-11-ro-queries")