arman-bd/guppylm-60k-generic

--- license: mit task_categories: - text-generation language: - en size_categories: - 10K<n<100K tags: - fish - character - tiny-llm - synthetic pretty_name: GuppyLM Chat --- <p align="center"> <img src="assets/guppy.png" alt="GuppyLM" width="300"/> </p> <p align="center"> <a href="https://github.com/arman-bd/guppylm"><img src="https://img.shields.io/badge/GitHub-guppylm-181717?logo=github" alt="GitHub"/></a>&nbsp; <a href="https://huggingface.co/arman-bd/guppylm-9M"><img src="https://img.shields.io/badge/🤗_Model-guppylm--9M-orange" alt="Model"/></a>&nbsp; <a href="https://colab.research.google.com/github/arman-bd/guppylm/blob/main/train_guppylm.ipynb"><img src="https://img.shields.io/badge/Open_in-Colab-F9AB00?logo=googlecolab" alt="Colab"/></a> <br/> <a href="https://www.linkedin.com/pulse/build-your-own-language-model-5-minutes-i-made-mine-hossain--supif/"><img src="https://img.shields.io/badge/Article-LinkedIn-0A66C2?logo=linkedin" alt="LinkedIn Article"/></a>&nbsp; <a href="https://arman-bd.medium.com/build-your-own-llm-in-5-minutes-i-made-mine-talk-like-a-fish-e20c338a3d14"><img src="https://img.shields.io/badge/Article-Medium-000000?logo=medium" alt="Medium Article"/></a> <br/><br/> <a href="https://arman-bd.github.io/guppylm/"><img src="https://img.shields.io/badge/Try_in-Browser-64ffda?style=for-the-badge&logo=webassembly&logoColor=white" alt="Browser Demo"/></a> </p> # GuppyLM Chat Dataset Training data for GuppyLM — a ~9M parameter LLM that talks like a small fish. ## Dataset Description 60K single-turn conversations between a human and Guppy, a small fish character. Guppy speaks in short, lowercase sentences about water, food, light, and tank life. It doesn't understand human abstractions. ### Example ``` Input: are you hungry Output: yes. always yes. i will swim to the top right now. Input: what do you think about politics Output: i don't know what politics is. is it wet. Input: goodnight guppy Output: night. i'll rest near the bottom. maybe tomorrow there will be pellets. ``` ## Fields | Field | Type | Description | |-------|------|-------------| | `input` | string | User message | | `output` | string | Guppy's response | | `category` | string | Topic category (60 categories) | ## Categories Greetings, feelings, temperature (hot/cold), food, light, water, about, confused (human things), tank, noise, night, lonely, misc, goodbye, bubbles, glass, reflection, breathing, swimming, colors, taste, plants, filter, algae, snail, glass tapping, scared, excited, bored, curious, happy, tired, outside, cat, rain, seasons, music, visitors, children, meaning of life, time, memory, dreams, size, future, past, name, weather, sleep, friends, jokes, fear, love, age, intelligence, bathroom, health, singing, TV. ## Usage ```python from datasets import load_dataset ds = load_dataset("arman-bd/guppylm-60k-generic") print(ds["train"][0]) # {'input': 'hi guppy', 'output': 'hello. the water is nice today.', 'category': 'greeting'} ``` ## Generation Data is synthetically generated using template composition with randomized components (tank objects, food types, activities, body parts, etc.) for high output diversity. ## Links - **Repo:** [github.com/arman-bd/guppylm](https://github.com/arman-bd/guppylm) - **Model:** [huggingface.co/arman-bd/guppylm-9M](https://huggingface.co/arman-bd/guppylm-9M) ## License MIT