| --- |
| license: apache-2.0 |
| language: |
| - en |
| - fr |
| pretty_name: skycmd numeric curriculum |
| task_categories: |
| - text-classification |
| tags: |
| - skycmd |
| - typed-decisions |
| - system-one |
| configs: |
| - config_name: numeric |
| data_files: data/numeric.parquet |
| --- |
| |
| # skycmd numeric curriculum |
|
|
| Generated questions about numbers (comparisons, ranges, units) of the skycmd numeric curriculum (SPEC-S3 §3). No third-party data. |
|
|
| Part of [skycmd](https://github.com/maxgfr/skycmd), tiny decision models trained from scratch in Rust that run in the |
| browser. Written by `sky-train s2-numeric --n 100000 (scripts/prepare-data.sh)` at commit [`6cbcce8c`](https://github.com/maxgfr/skycmd/commit/6cbcce8cbbbf27e8e952e61b6cb1ed03ee1fca58). |
| Licences of every set: [DATA_LICENSES.md](https://github.com/maxgfr/skycmd/blob/main/DATA_LICENSES.md). |
|
|
| Each row is one typed decision question (docs/SPEC.md): |
|
|
| | field | type | meaning | |
| |---|---|---| |
| | `src` | string | source | |
| | `t` | string | `choice`, `score` or `noul` | |
| | `ins` | string | the question | |
| | `opts` | list of strings | the options, rendered as text | |
| | `state` | string | the state the question is about | |
| | `target` | list of floats | a probability per option (soft or one-hot) | |
| | `split` | string | `train`, `val` or `test` | |
|
|
| ## Licence |
|
|
| Apache-2.0: generated by skycmd's own code, no third-party data. |
|
|
| ## Files |
|
|
| | file | rows | |
| |---|---:| |
| | `data/numeric.parquet` | 100,000 | |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("maxgfr/skycmd-numeric", "numeric") |
| ``` |
|
|
| skycmd wrote no row with a language model: the targets come from the upstream labels (some upstream |
| sets carry their own teacher soft labels, see their cards), the games' oracles or our generators. |
|
|
