skycmd 6cbcce8c: skycmd secrets jev

MANIFEST.json

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+{
+  "commit": "6cbcce8cbbbf27e8e952e61b6cb1ed03ee1fca58",
+  "source_files": {
+    "secret_bench.jsonl": {
+      "sha256": "1c6975a51aca70d8227960b6e9a232c0e3d3c193fc05721d65d46d5be7053664",
+      "rows": 7984
+    },
+    "secret_synth.jsonl": {
+      "sha256": "44a57bbd5ef4c27617a938f86ae8a988e574f0b275f17551df5a3601296cc278",
+      "rows": 193258
+    }
+  }
+}

README.md

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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.

data/secret_bench.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:63a23d40c2936ce7035aa98e843aa461919ccd461cb0615335610a5c230627c1
+size 135859

data/secret_synth.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c05c39200087ffc51d3903d2082db000f7c231e95c4c0571633988740fe2656c
+size 9853836