farming-dataset-synthetic-generator-classification

# Dataset Card for farming-dataset-synthetic-generator-classification

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/burtenshaw/farming-dataset-synthetic-generator-classification/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/burtenshaw/farming-dataset-synthetic-generator-classification/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:

Configuration: default

```json
{
"label": 4,
"text": "A meta-analysis of 32 studies revealed that regenerative agriculture practices, such as no-till farming and cover cropping, significantly increased soil organic carbon by an average of 1.4% over a period of 10 years, thereby enhancing soil fertility and water retention capacity."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("burtenshaw/farming-dataset-synthetic-generator-classification", "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("burtenshaw/farming-dataset-synthetic-generator-classification")
```

# 农业合成生成分类数据集卡片

本数据集由[distilabel](https://distilabel.argilla.io/)构建。

## 数据集概述

本数据集包含一个`pipeline.yaml`配置文件，可借助`distilabel`命令行界面（CLI）复现生成该数据集的distilabel流程：
console
distilabel pipeline run --config "https://huggingface.co/datasets/burtenshaw/farming-dataset-synthetic-generator-classification/raw/main/pipeline.yaml"

或查看该流程配置：
console
distilabel pipeline info --config "https://huggingface.co/datasets/burtenshaw/farming-dataset-synthetic-generator-classification/raw/main/pipeline.yaml"

## 数据集结构

各配置下的数据样本结构如下：

配置：default

json
{
"label": 4,
"text": "对32项研究开展的荟萃分析显示，免耕种植、覆盖作物种植等再生农业举措，在10年周期内可使土壤有机碳平均提升1.4%，进而改善土壤肥力与保水能力。"
}

该子集可通过以下方式加载：
python
from datasets import load_dataset

ds = load_dataset("burtenshaw/farming-dataset-synthetic-generator-classification", "default")

由于该数据集仅存在一个名为`default`的配置，也可通过如下最简方式加载：
python
from datasets import load_dataset

ds = load_dataset("burtenshaw/farming-dataset-synthetic-generator-classification")