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| license: apache-2.0 | |
| language: | |
| - en | |
| pretty_name: skycmd secrets jev | |
| task_categories: | |
| - text-classification | |
| tags: | |
| - skycmd | |
| - typed-decisions | |
| - system-one | |
| configs: | |
| - config_name: secret_bench | |
| data_files: data/secret_bench.parquet | |
| - config_name: secret_synth | |
| data_files: data/secret_synth.parquet | |
| # skycmd secrets jev | |
| Short texts (.env, code, configs, curl, logs, diffs) with four questions each: is a usable secret exposed, which service issued it, what kind of value it is, on which line. Every key is generated: it follows its provider's public format with a random body, so none is a real key. `secret_bench` uses four file types the training set never shows. | |
| Part of [skycmd](https://github.com/maxgfr/skycmd), tiny decision models trained from scratch in Rust that run in the | |
| browser. Written by `sky-data secret-jev (seed 1234)` 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/secret_bench.parquet` | 7,984 | | |
| | `data/secret_synth.parquet` | 193,258 | | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("maxgfr/skycmd-secrets", "secret_bench") | |
| ``` | |
| 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. | |