---
license: cc0-1.0
task_categories:
- text-generation
- question-answering
language:
- en
pretty_name: Dogs
size_categories:
- 10K<n<100K
---

Here is the dataset I used for training my language model, comprising information from several websites for each dog breed. It is organized by breed into snippets for training a language model for causal inference. I utilized Unsloth for efficient model training. If you'd like to see my script for gathering and organizing the data into labeled JSON, please visit my repository [here](https://github.com/chrismontes22/Dog-Classification/blob/main/LLM/Text%20Data%20Pipeline.py). Thanks!