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Point the training record and the data page at the published suite

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  1. TRAINING_DATA.md +2 -0
  2. training.json +8 -1040
TRAINING_DATA.md CHANGED
@@ -4,6 +4,8 @@ Kai's own `decision_finetune`, as the Kai repository shipped it until its 2026-0
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  The data is the training split of the suite in [semantic-router#4305](https://github.com/vllm-project/semantic-router/issues/4305) with two additions found while tuning against the dev split: for jailbreak, opening messages of attack chats from the SaTML 2024 LLM CTF and, as benign rows, its utility-chat openings and persona prompts from prompts.chat; for PII, Few-NERD sentences with and without a person name. 366,323 distinct rows over ten tasks. The in-distribution test split was not trained on. CoCoNot is included: its dataset card names ODC-BY in its licensing section and the AI2 ImpACT Low Risk licence in its summary. Dev is the suite's dev split and only picks the checkpoint, the temperatures and the thresholds. No held-out file or source test below was trained on, except where [evaluation/RESULTS.md](evaluation/RESULTS.md) marks a slice of a training corpus.
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  ## Sources
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  The builder generates no rows, but many corpora were themselves generated or translated by a model for their dataset, and many labels come from a model rather than from people. [semantic-router#4305](https://github.com/vllm-project/semantic-router/issues/4305) lists the origin of every corpus's text and labels and how each corpus's labels map to the task. Sources under CC BY-SA (Dolly, EXAMS, Stack Exchange, Schema-Guided Dialogue, Few-NERD) are named here for attribution. WildGuardMix and WildJailbreak are gated behind the AI2 Responsible Use Guidelines.
 
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  The data is the training split of the suite in [semantic-router#4305](https://github.com/vllm-project/semantic-router/issues/4305) with two additions found while tuning against the dev split: for jailbreak, opening messages of attack chats from the SaTML 2024 LLM CTF and, as benign rows, its utility-chat openings and persona prompts from prompts.chat; for PII, Few-NERD sentences with and without a person name. 366,323 distinct rows over ten tasks. The in-distribution test split was not trained on. CoCoNot is included: its dataset card names ODC-BY in its licensing section and the AI2 ImpACT Low Risk licence in its summary. Dev is the suite's dev split and only picks the checkpoint, the temperatures and the thresholds. No held-out file or source test below was trained on, except where [evaluation/RESULTS.md](evaluation/RESULTS.md) marks a slice of a training corpus.
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+ The training files, their lock files and manifests, and the per-row predictions behind every table on this card are in [vllm-sr/router-signal-suite](https://huggingface.co/datasets/vllm-sr/router-signal-suite), with the commands that rebuild them.
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+
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  ## Sources
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  The builder generates no rows, but many corpora were themselves generated or translated by a model for their dataset, and many labels come from a model rather than from people. [semantic-router#4305](https://github.com/vllm-project/semantic-router/issues/4305) lists the origin of every corpus's text and labels and how each corpus's labels map to the task. Sources under CC BY-SA (Dolly, EXAMS, Stack Exchange, Schema-Guided Dialogue, Few-NERD) are named here for attribution. WildGuardMix and WildJailbreak are gated behind the AI2 Responsible Use Guidelines.
training.json CHANGED
@@ -24,14 +24,12 @@
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  },
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  "runs": {
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  "choice": {
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- "run": "kai-h2-keyed",
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  "epochs": 3,
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  "selected_checkpoint": "checkpoint-005000",
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  "dev_macro_soft_nll": 0.24940896787345,
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  "native_manifest_sha256": "02f0a9dfa3cbe92809260cd133b620725ad1756e9224f6342c590277d6e3782a"
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  },
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  "noul": {
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- "run": "kai-v8-pii",
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  "epochs": 1,
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  "selected_checkpoint": "checkpoint-004944",
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  "dev_macro_soft_nll": 0.2197743162251604,
@@ -39,7 +37,7 @@
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  }
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  },
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  "data": {
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- "training_rows": "the training split of each task (CoCoNot included), with the v8 additions: real jailbreak prompts for the jailbreak task and Few-NERD sentences with and without a person name for PII; Choice options rendered as KEY: description",
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  "choice": {
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