Skala-Dataset / README.md
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---
license: mit
tags:
- prompt-routing
- llm-routing
- complexity-classification
- text-classification
- prompt-difficulty
configs:
- config_name: default
data_files:
- split: train
path: data/train.csv
---
# Skala-Dataset
The training corpus behind [Skala](https://huggingface.co/TakamaruAI/Skala), a prompt-difficulty classifier that labels chat, agent, and tooling prompts into three difficulty tiers to help routers select an appropriate model for each request.
## Data
| column | type | description |
|---|---|---|
| `text` | string | the prompt |
| `label` | string | `simple`, `medium` or `complex` |
| `source` | string | where the row came from |
| source | rows | licence |
|---|---:|---|
| `public_dataset_master` | 1,348 | MIT |
| `public_dataset_real` | 350 | MIT |
| `generated` | 5,242 | MIT |
| **total** | **6,940** | |
- **`public_dataset_master`** -
[Nasim435/Multi-label-Prompt-Dataset](https://huggingface.co/datasets/Nasim435/Multi-label-Prompt-Dataset)
(MIT), the `master_dataset.csv` file. Its complexity tags (`easy`/`moderate`/`hard`)
map to `simple`/`medium`/`complex`. Filtered to rows whose multi-label set contains
exactly one complexity tier, de-duplicated, with the evaluation rows excluded.
- **`public_dataset_real`** - The `real.csv` split of the same dataset, short developer
and sysadmin questions.
- **`generated`** - Generated and labelled by two open-weight models, `google/gemma-4-26B-A4B` and `Qwen/Qwen3.8-27B`.
## Licence
Skala-Dataset is licensed under the [MIT License](LICENSE).