task_categories:text-generation task_categories:text2text-generation task_categories:text-retrieval task_categories:question-answering 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
dataset_info:
  features:
  - name: context
    dtype: string
  - name: question
    dtype: string
  - name: response
    dtype: string
  splits:
  - name: train
    num_bytes: 372568
    num_examples: 100
  download_size: 152841
  dataset_size: 372568
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 elixir_generated

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/joelkoch/elixir_generated/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/joelkoch/elixir_generated/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "context": "Elixir is a dynamic, functional language that runs on the Erlang VM (BEAM), providing built-in support for concurrency, distributed programming, and hot code loading.\n\nElixir\u0027s syntax is similar to Ruby, making it easier for developers familiar with Ruby to learn. \n\nElixir provides a wide range of libraries and frameworks, such as Phoenix, Plug, and Dialyxir.\n\nElixir supports both synchronous and asynchronous programming.\n\nElixir has built-in support for tasks such as compile and run Elixir code on the Erlang VM.\n\nElixir provides the GenServer module for designing and implementing server processes.\n\nThe Elixir documentation is a comprehensive resource for learning Elixir and its many libraries and frameworks.\n\nElixir has a large and active community of developers who contribute to its growth and development.\n\nThe Elixir VM (BEAM) provides crash dumps in case of errors, allowing for easier debugging.\n\nErlang\u0027s pattern matching feature is available in Elixir, allowing for concise and expressive code.\n\nElixir supports pattern matching on structured data types such as tuples, lists, and maps.\n\nElixir\u0027s pipes operator allows for data transformation chaining.\n\nPhoenix is a popular web framework for building applications in Elixir.\n\nPlug is a specification for web applications in Elixir, providing a modular and flexible way of building web applications.\n\nDialyxir is a plugin for the Elixir compiler, providing code analysis and debugging support.\n\nOTP (Open Telecom Platform) is a set of Erlang libraries, including the GenServer module, that provides a set of behaviors for implementing OTP applications.\n\nOTP applications are built using a set of design principles that emphasize fault-tolerant, distributed, and concurrent systems.\n\nOTP applications can be easily distributed across multiple nodes in a cluster.\n\nOTP applications can be started, stopped, and monitored using the name.\n\nOTP provides an interface for distributing processes and managing process supervision.\n\nOTP applications can be compiled and run on the Erlang VM.",
    "question": "Is Elixir\u0027s comprehensive documentation a key factor in its adoption among developers?",
    "response": "Yes, Elixir\u0027s comprehensive documentation is a key factor in its adoption among developers. The document states, \"The Elixir documentation is a comprehensive resource for learning Elixir and its many libraries and frameworks.\" This suggests that the documentation is a valuable resource for developers to learn and understand Elixir, which would likely contribute to its adoption."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("joelkoch/elixir_generated", "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("joelkoch/elixir_generated")
```


</details>




