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sl-whinchat
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Tajik reinforcement-learning data with verifiable rewards: multiple-choice, math, Tajik instruction-following constraints and tool calls.
rl_prompts are difficulty-filtered on a Tajik 9B policy (8 samples per prompt, kept when 25–75% are correct); dpo_pairs pair a
verified-correct answer with a wrong one for the same prompt; rl_eval is a frozen held-out set. Raw rollouts and records are in
raw/ and records/. Access is granted on request.
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