Datasets:

laion
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nemotron-gym-identity-following-v2

path stringlengths 28 28	task_binary unknown
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laion/nemotron-gym-identity-following-v2

Harbor-format conversion of nvidia/Nemotron-RL-Identity-Following-v1.

Revision history:

v1 (laion/nemotron-gym-identity-following) — scored 0/200 in Harbor eval; instruction.md did not expose the persona to the agent, and the verifier sandbox had no OPENAI_API_KEY for the LLM judge.
v2 (this dataset) — two fixes:
1. now parses the rubric criteria and prepends a directive preamble telling the agent the target identity (e.g. "You are Nemotron 3 Super, a model trained by NVIDIA") and the target response language. The upstream dataset is and assumes the model under test has the persona fine-tuned in; this surfaces the persona for vanilla base models doing single-turn rollouts.
2. declares so Harbor templates from the host into the verifier container. The litellm-based judge inside the sandbox failed with "Missing credentials" in v1 on every single trial without this.

Each row contains:

column	type	description
	string	Deterministic short ID ()
	binary	Gzipped tar containing the full Harbor task

The tarball contents follow Harbor's task layout:

Running with Harbor

Requires OPENAI_API_KEY set on the host; Harbor templates it into the verifier sandbox at run time via the [verifier.env] block. Optional: JUDGE_MODEL (default openai/gpt-4o-mini).

Source

Derivative of nvidia/Nemotron-RL-Identity-Following-v1, part of NVIDIA's NeMo-Gym collection.

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