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---
license: apache-2.0
size_categories: n<1K
dataset_info:
features:
- name: page_content
dtype: string
- name: parent_section
dtype: string
- name: url
dtype: string
- name: token_count
dtype: int64
splits:
- name: train
num_bytes: 3445987.2
num_examples: 1656
- name: test
num_bytes: 861496.8
num_examples: 414
download_size: 1607895
dataset_size: 4307484.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
tags:
- synthetic
- distilabel
- rlaif
---
<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 rag_qa_embedding_questions_0_60_0
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/zenml/rag_qa_embedding_questions_0_60_0/raw/main/pipeline.yaml"
```
or explore the configuration:
```console
distilabel pipeline info --config "https://huggingface.co/datasets/zenml/rag_qa_embedding_questions_0_60_0/raw/main/pipeline.yaml"
```
## Dataset structure
The examples have the following structure per configuration:
<details><summary> Configuration: default </summary><hr>
```json
{
"anchor": "\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u251b\n\nExplore Service Connector TypesService Connector Types are not only templates used to instantiate Service Connectors, they also form a body of knowledge that documents best security practices and guides users through the complicated world of authentication and authorization.\n\nZenML ships with a handful of Service Connector Types that enable you right out-of-the-box to connect ZenML to cloud resources and services available from cloud providers such as AWS and GCP, as well as on-premise infrastructure. In addition to built-in Service Connector Types, ZenML can be easily extended with custom Service Connector implementations.\n\nTo discover the Connector Types available with your ZenML deployment, you can use the zenml service-connector list-types CLI command:\n\nzenml service-connector list-types\n\nExample Command Output\n\n\u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u252f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u252f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u252f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u252f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u252f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513\n\n\u2503 NAME \u2502 TYPE \u2502 RESOURCE TYPES \u2502 AUTH METHODS \u2502 LOCAL \u2502 REMOTE \u2503\n\n\u2520\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2528\n\n\u2503 Kubernetes Service Connector \u2502 \ud83c\udf00 kubernetes \u2502 \ud83c\udf00 kubernetes-cluster \u2502 password \u2502 \u2705 \u2502 \u2705 \u2503\n\n\u2503 \u2502 \u2502 \u2502 token \u2502 \u2502 \u2503\n\n\u2520\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2528\n\n\u2503 Docker Service Connector \u2502 \ud83d\udc33 docker \u2502 \ud83d\udc33 docker-registry \u2502 password \u2502 \u2705 \u2502 \u2705 \u2503\n\n\u2520\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2528\n\n\u2503 Azure Service Connector \u2502 \ud83c\udde6 azure \u2502 \ud83c\udde6 azure-generic \u2502 implicit \u2502 \u2705 \u2502 \u2705 \u2503\n\n\u2503 \u2502 \u2502 \ud83d\udce6 blob-container \u2502 service-principal \u2502 \u2502 \u2503",
"distilabel_metadata": {
"raw_output_generate_sentence_pair_0": "## Positive\n\nWhat command can be used to list available Service Connector Types in ZenML?\n\n## Negative\n\nCan you provide a list of popular Azure services?"
},
"model_name": "gpt-4o",
"negative": "Can you provide a list of popular Azure services?",
"parent_section": "how-to",
"positive": "What command can be used to list available Service Connector Types in ZenML?",
"token_count": 499,
"url": "https://docs.zenml.io/v/docs/how-to/auth-management/service-connectors-guide"
}
```
This subset can be loaded as:
```python
from datasets import load_dataset
ds = load_dataset("zenml/rag_qa_embedding_questions_0_60_0", "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("zenml/rag_qa_embedding_questions_0_60_0")
```
</details>
|