---
size_categories: n<1K
task_categories:
- text-generation
- text2text-generation
- text-retrieval
- question-answering
- sentence-similarity
dataset_info:
  features:
  - name: context
    dtype: string
  - name: question
    dtype: string
  - name: response
    dtype: string
  - name: positive_retrieval
    dtype: string
  - name: negative_retrieval
    dtype: string
  splits:
  - name: train
    num_bytes: 83894
    num_examples: 100
  download_size: 29162
  dataset_size: 83894
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
- datacraft
---

<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 my-distiset-4008298d

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/Issakki/my-distiset-4008298d/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/Issakki/my-distiset-4008298d/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "context": "Model: Mahindra Yuvraj 215 NXT, Engine: 863 cc, Power: 15 hp, No. Of Cylinder: 1, Gear Box: 6 F + 3 R, Equipment: Tractor\n\nModel: Mahindra 415 DI SP Plus, Engine: 2979 cc, Power: 42 hp, No. Of Cylinder: 4, Wheel Drive: 2 WD, Equipment: Tractor\n\nModel: Mahindra OJA 2127, Power: 27 hp, No. Of Cylinder: 3, Wheel Drive: 4 WD, Gear Box: 12 F + 12 R, Equipment: Tractor\n\nModel: Mahindra 585 DI Power Plus BP, Engine: 3054 cc, Power: 50 hp, No. Of Cylinder: 4, Gear Box: 8 F + 2 R, Equipment: Tractor",
    "negative_retrieval": "What are the specifications of the Mahindra Yuvraj 215 NXT engine?",
    "positive_retrieval": "What are the specifications of the Mahindra Yuvraj 215 NXT tractor?",
    "question": "What are the specifications of the Mahindra Yuvraj 215 NXT tractor?",
    "response": "The specifications of the Mahindra Yuvraj 215 NXT tractor are:\n\n- Engine: 863 cc\n- Power: 15 hp\n- Number of Cylinders: 1\n- Gear Box: 6 F + 3 R (6 forward gears and 3 reverse gears)\n- Equipment: Tractor"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("Issakki/my-distiset-4008298d", "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("Issakki/my-distiset-4008298d")
```


</details>