Datasets:
| license: mit | |
| task_categories: | |
| - question-answering | |
| - text-generation | |
| tags: | |
| - automation | |
| - home | |
| - assistant | |
| language: | |
| - en | |
| pretty_name: Home Assistant Requests | |
| size_categories: | |
| - 10K<n<100k | |
| # Home Assistant Requests Dataset | |
| This dataset contains a list of requests and responses for a user interacting with a personal assistant that controls an instance of [Home Assistant](https://www.home-assistant.io/). | |
| The dataset is generated from the different CSV "piles". The "piles" contain different chunks of requests that are assembled into a final context that is presented to the LLM. For example, `piles/pile_of_device_names.csv` contains only names of various devices to be used as part of context as well as inserted into `piles/pile_of_templated_actions.csv` and `piles/pile_of_status_requests.csv`. The logic for assembling the final dataset from the piles is contained in [generate_home_assistant_data.py](./generate_home_assistant_data.py). | |
| ## Generating the dataset from piles | |
| `python3 generate_home_assistant_data.py --train --test --large` | |
| Supported dataset splits are `--test`, `--train`, & `--sample` | |
| Arguments to set the train dataset size are `--small`, `--medium`, `--large`, & `--xl`. | |
| ## Merging with other instruct-datasets for training | |
| `python3 generate_home_assistant_data.py --merge <dataset>` | |
| Supported datasets right now are: | |
| - `alpaca` | |
| - `wizardlm70k` | |
| Please note that the supported datasets all have different licenses. Be aware that the license of the resulting data mixture might be different that the license of this dataset alone. |