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sysbench-daf4377ce577.tar.gz | "H4sIADXHImoA/+y923IcR5IgOs/4iujS9qiKqircCLYaJUgHIsEWpimSDUItk5EcKFGVQKVQlVldmQUQDdKsZ8/rnn3ZfTzH1ux(...TRUNCATED) |
sysbench-1d6cc8a21eb3.tar.gz | "H4sIADXHImoA/+1963LbSJbm/OZTZNPeNqkiaVKyXFNsy15aom1267YU7WqHpKYgEhRRIgEWAOpSsiK6Z//Ozq/9uRsTsa+x/TT(...TRUNCATED) |
sysbench-e05c7e0f1ae9.tar.gz | "H4sIADXHImoA/+1963LjRpbm/OZTZLNmu0iZZEnl247Kqlq5xLLVVklaSWWHQ1LTEACKaJEADYCSaFkRntmI+TU7Pyb250xMxLz(...TRUNCATED) |
laion/nemotron-gym-sysbench-v2
Harbor task-binary dataset (1,010 tasks) converted from nvidia/Nemotron-RL-SysBench-v1 (part of nvidia/Nemotron-Post-Training-v3).
Columns path (str) + task_binary (gzip tar). Converted with the
OpenThoughts-Agent data.nemotron_gym framework.
Grading: Hybrid: deterministic IFEval constraints AND LLM judge.
What changed vs the prior version
This version fixes the answer-delivery contract for terminal agents. The
prior version told the agent what to produce but not how to submit it; a
1-turn terminus-2 agent emitted its answer as a chat reply instead of writing
the graded file, so most trials scored 0 with "answer file missing". The
instruction now explicitly instructs writing to the grader's file path via a
shell heredoc (and verifying it). Grading logic is otherwise unchanged.
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