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agentic-rl-evalsets
Versioned eval sets for the slime agentic-RL setup (mini-swe-agent on Modal
sandboxes). Built from harbor-framework/harbor-datasets
by multinode-training-guide/scripts_agenticRL/prepare_eval_data.sh:
converted to slime prompt rows, deterministically subsampled (seeds pinned in
evalsets/v1/manifest.json), and oracle-checked (reference solutions pass through
the exact rollout path; openthoughts-tblite is additionally screened to the
tasks whose solutions pass on Modal/gVisor).
Layout mirrors the slime-data volume root: evalsets/v1/*.jsonl are the eval
datasets; metadata.task_path in each row resolves against the repo root
(ASYNC_RL_TASK_ROOT). Install:
EXPERIMENT_CONFIG=w_qwen3_swe_eval modal run slime/modal_train.py::download_data
(or huggingface_hub.snapshot_download straight into your data root)
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