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ritvik-sarvam/openswe-harbor

OpenSWE-Harbor — NeMo Gym ready ⚠️ Read this before training: there are TWO sets in here — full (45,316) and filtered (8,875). Set Tasks Where it is When to use Full 45,316 routing/openswe_oss.jsonl, routing/openswe_other.jsonl, all of tasks/ Eval-only, dataset analysis, sweeps where you don't care about RL signal quality Filtered (RL default) 8,875 routing/openswe_oss_filtered.jsonl, routing/openswe_other_filtered.jsonl, filtered_ids.txt Use this… See the full description on the dataset page: https://huggingface.co/datasets/ritvik-sarvam/openswe-harbor.

Author / organizationritvik-sarvam
License (as declared)agpl-3.0
Downloads495 (as reported by Hugging Face)
Likes0
Created19 May 2026
Last updated at source19 May 2026
software-engineeringswe-benchagentharbornemo-gymcodepythonenvironmentrl-environment
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  • 17 Oct 2026 Description: OpenSWE-Harbor — NeMo Gym ready ⚠️ Read this before training: there are TWO sets in here — full (45,316) and filtered (8,875). Set Tasks Where it is When to use Full 45,316 routing/openswe_oss.jsonl, routing/openswe_other.jsonl, all of task → OpenSWE-Harbor — NeMo Gym ready ⚠️ Read this before training: there are TWO sets in here — full (45,316) and filtered (8,875). Set Tasks Where it is When to use Full 45,316 routing/openswe_oss.jsonl, routing/openswe_other.jsonl, all of task

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