argilla-warehouse/python-seed-tools

---
dataset_info:
features:
- name: func_name
dtype: string
- name: func_desc
dtype: string
- name: tools
dtype: string
splits:
- name: train
num_bytes: 21930734
num_examples: 41028
download_size: 7990917
dataset_size: 21930734
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- synthetic
- distilabel
pretty_name: Python Seed Tools
size_categories:
- 10K<n<100K
---

# Dataset card for argilla-warehouse/python-seed-tools

This dataset consists of function names, descriptions and their tool definitions to be used as seeds for an ["APIGen like"](https://huggingface.co/datasets/Salesforce/xlam-function-calling-60k) dataset.

These are the seed functions used for the following datasets:

- [argilla-warehouse/synth-apigen-llama](https://huggingface.co/datasets/argilla-warehouse/synth-apigen-llama)
- [argilla-warehouse/synth-apigen-qwen](https://huggingface.co/datasets/argilla-warehouse/synth-apigen-qwen)

It was built using the following script: [create_seed_dataset.py](https://huggingface.co/datasets/argilla-warehouse/python-seed-tools/blob/main/create_seed_dataset.py),
using the tools defined in the [tools.jsonl](https://huggingface.co/datasets/argilla-warehouse/python-seed-tools/blob/main/tools/tools.jsonl) file.

Take a look at [argilla-warehouse/python-lib-tools-v0.1](https://huggingface.co/datasets/argilla-warehouse/python-lib-tools-v0.1) to see how these tools were obtained in the first place.

## Dataset structure

```json
{
"func_name": "create_positive_negative_train_and_test_set",
"func_desc": "Creates a positive and negative training and test set from a data set.",
"tools": "[{\"type\": \"function\", \"function\": {\"name\": \"create_positive_negative_train_and_test_set\", \"description\": \"Creates a positive and negative training and test set from a data set.\", \"parameters\": {\"type\": \"object\", \"properties\": {\"data\": {\"type\": \"object\", \"description\": \"The input data set containing 'label' and 'split' columns.\"}}, \"required\": [\"data\"]}}}]"
}
```