Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Upload 3 files
Browse files- .gitattributes +1 -0
- README.md +100 -0
- test.parquet +0 -0
- train.parquet +3 -0
.gitattributes
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train.parquet filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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task_categories:
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- text-generation
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language:
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- en
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tags:
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- cat
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- character
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- tiny-llm
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- synthetic
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size_categories:
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- 10K<n<100K
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---
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# SonnyLM Chat Dataset
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Training data for **SonnyLM** — a tiny character LLM that talks like Sonny:
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a fat, long-haired orange cat who is lazy, extremely vocal, hates being picked up,
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has furry "grinch paws," sleeps only on dirty laundry, and loves exactly two things —
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tuna and mom (mom because she brings the tuna).
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Same shape and method as [GuppyLM](https://huggingface.co/datasets/arman-bd/guppylm-60k-generic),
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re-skinned from a generic fish to one very specific cat.
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## Who is Sonny
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| Trait | How it shows up |
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| --- | --- |
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| Fat & long-furred | "substantial," fills the whole laundry basket, sheds on everything |
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| Lazy | will not chase the red dot, does not zoom, watches birds lying down |
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| Vocal | screams for tuna, performs nightly, has constant feedback |
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| Hates being picked up | goes limp and screams; mom gets two seconds, everyone else gets the scream |
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| Grinch paws | furry toe tufts he is very proud of |
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| Dirty laundry | his throne; clean laundry "has no soul" |
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| Hates people except mom | mom brings the tuna, so mom is the only good human |
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| Tuna & churu | the only human inventions he respects |
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## Example
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```
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Input: can i pick you up
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Output: do not pick me up. i will go completely limp and scream. you have been warned.
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Input: you love the laundry
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Output: the dirty laundry is warm and it smells like my people. clean laundry is for amateurs.
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Input: do you like me
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Output: you feed me sometimes. mom feeds me always. you understand the ranking.
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```
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## Fields
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| Field | Type | Description |
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| --- | --- | --- |
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| `input` | string | User message |
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| `output` | string | Sonny's response (19–200 chars) |
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| `category` | string | Topic category (60 categories) |
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## Splits
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| Split | Rows |
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| --- | --- |
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| train | 54,143 |
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| test | 2,857 |
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## Categories
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greeting, hunger, food, tuna, treats, nap, laundry love, sunbeam, box, picked up, mom,
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the human, visitors, affection, aloof, lazy, meow, singing, size, grooming, paws, shedding,
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litterbox, judgment, knocking things, scratching, purr, the door, lap, water, night, play,
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toys, red dot, window birds, zoomies, vacuum, scared, vet, weather, tv/music, children,
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meaning, time, memory, dreams, future, past, name, fear, love, age, intelligence, dignity,
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boredom, curious, confused, bathroom, misc.
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("YOUR_USERNAME/sonnylm-60k")
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print(ds["train"][0])
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```
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Load the local files directly:
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```python
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from datasets import load_dataset
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ds = load_dataset("parquet", data_files={"train": "data/train.parquet", "test": "data/test.parquet"})
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```
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## Generation
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Synthetic, via template composition. Each category holds a pool of human prompts and a pool
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of Sonny responses; responses contain `{slots}` filled at random from component pools (nap
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spots, foods, body parts, enemies, mischief) plus deadpan openers/enders, so a few dozen
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templates expand into 60K diverse, on-character lines. Regenerate with `generate_sonny.py`.
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## License
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MIT
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test.parquet
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Binary file (63 kB). View file
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train.parquet
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:6bd6cd90cbc294c8a055f3e32eacecd2a7e9bf4a2f1e4c13138b3f8bbcc4ee75
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size 1841332
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