task_categories:text-generation task_categories:text2text-generation task_categories:text-retrieval task_categories:question-answering task_categories:sentence-similarity size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars library:distilabel region:us synthetic distilabel rlaif datacraft
---
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: 115423
    num_examples: 100
  download_size: 61960
  dataset_size: 115423
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-smol-ds

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/Binaryy/my-smol-ds/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/Binaryy/my-smol-ds/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "context": "ANSI/IICRC S520 Standard for Professional Mold Remediation\n\nThird Edition Published December 2015\n\nInstitute of Inspection, Cleaning and Restoration Certification 4043 South Eastern Avenue Las Vegas, NV, 89119 USA (775) 553 5458 \u2022 www.iicrc.org\n\nCopyright \u00a9 2015, 2008, 2003 by the Institute of Inspection, Cleaning and Restoration Certification (IICRC). All rights reserved. No part of this publication may be used or reproduced in any manner whatsoever without written permission from the IICRC.",
    "negative_retrieval": "Institute of Inspection, Cleaning and Restoration Certification 4043 South Eastern Avenue Las Vegas, NV, 89119 USA recently published their third edition of a comprehensive standard for cleaning and restoration services in the industry.",
    "positive_retrieval": "What is the third edition of the ANSI/IICRC S520 Standard for Professional Mold Remediation published in?",
    "question": "What is the third edition of the ANSI/IICRC S520 Standard for Professional Mold Remediation published in?",
    "response": "December 2015."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("Binaryy/my-smol-ds", "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("Binaryy/my-smol-ds")
```


</details>




