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---
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>
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