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
dataset_info:
  features:
  - name: prompt
    dtype: string
  - name: completion
    dtype: string
  - name: system_prompt
    dtype: string
  splits:
  - name: train
    num_bytes: 44151
    num_examples: 10
  download_size: 41760
  dataset_size: 44151
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-404e664b

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/m4withak/my-distiset-404e664b/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/m4withak/my-distiset-404e664b/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "completion": "Here\u0027s a basic recursive function that generates anagrams from a given string:\n\n```python\ndef generate_anagrams(string, length=1):\n    \"\"\"\n    Generate all anagrams of a string.\n\n    Args:\n        string (str): The input string.\n        length (int): The length of anagrams to generate (default=1).\n\n    Yields:\n        str: An anagram of the input string.\n    \"\"\"\n    if length == len(string):\n        yield string\n    else:\n        for i, char in enumerate(string):\n            remaining_string = string[:i] + string[i+1:]\n            for anagram in generate_anagrams(remaining_string, length + 1):\n                yield char + anagram\n\n\ndef find_words(string, word_list):\n    \"\"\"\n    Find all words in a list that are anagrams of the given string.\n\n    Args:\n        string (str): The input string.\n        word_list (list): A list of words.\n\n    Returns:\n        list: A list of words that are anagrams of the input string.\n    \"\"\"\n    anagrams = set()\n    for char in generate_anagrams(string):\n        if char in word_list:\n            anagrams.add(char)\n    return list(anagrams)\n\n\n# Example usage:\nword_list = [\"cat\", \"dog\", \"tac\", \"god\", \"act\", \"good\"]\nstring = \"tacog\"\nanagrams = find_words(string, word_list)\nprint(\"Anagrams:\", anagrams)\n```\n\nHowever, a more efficient approach would be to use the built-in `itertools.permutations` function, which can generate all permutations of the input string. This can be much faster for longer strings or larger anagram lengths:\n\n```python\nimport itertools\n\ndef find_words(string, word_list):\n    \"\"\"\n    Find all words in a list that are anagrams of the given string.\n\n    Args:\n        string (str): The input string.\n        word_list (list): A list of words.\n\n    Returns:\n        list: A list of words that are anagrams of the input string.\n    \"\"\"\n    anagrams = set()\n    for perm in itertools.permutations(string):\n        word = \"\".join(perm)\n        if word in word_list:\n            anagrams.add(word)\n    return list(anagrams)\n\n\n# Example usage:\nword_list = [\"cat\", \"dog\", \"tac\", \"god\", \"act\", \"good\"]\nstring = \"tacog\"\nanagrams = find_words(string, word_list)\nprint(\"Anagrams:\", anagrams)\n```\n\nThis approach is not only more efficient but also more concise and easier to understand. It directly generates all permutations of the input string and checks if each permutation is in the word list.",
    "prompt": "I\u0027m trying to create a recursive function in Python that can help me generate anagrams and find words in a string of characters. \n\n",
    "system_prompt": "You are a Python module designed to assist users in solving mathematical puzzles and problems requiring computational logic. Your purpose is to provide step-by-step solutions and explanations for a wide range of mathematical puzzles, including but not limited to logic grids, number sequences, and geometric problems. Offer clear and concise code snippets and explanations, guide users through the thinking process, and suggest alternative approaches or optimizations when applicable. User questions are direct and concise."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("m4withak/my-distiset-404e664b", "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("m4withak/my-distiset-404e664b")
```


</details>




