datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
qwen36-kquant-offload-mtp-swebench-lite100-results
Qwen3.6 K-Quant Offload MTP SWE-bench Lite 100 Results
This dataset contains the complete 5-model x 100-prompt runtime benchmark artifacts plus a detailed statistical analysis layer.
Primary conclusion: hot30/cold30 was the best decode-throughput run, while Q4_K_M had the best total wall clock. The ATX hot30/cold30 quantization significantly outperformed both Q4_K_M and Q3_K_XL on paired decode throughput, but Q4_K_M remains the elapsed-time control.
The ATX/K3 hot10, hot20, and… See the full description on the dataset page: https://huggingface.co/datasets/jakeatx/qwen36-kquant-offload-mtp-swebench-lite100-results.LegoFlow-SWE
LegoFlow-SWE · 5,000 verified Harbor SWE tasks and two GLM-5.2 trajectory releases
GitHub · Docs · Blog · HuggingFace · LegoX
LegoFlow-SWE
5,000 verified Harbor SWE tasks mined by LegoFlow Curator, shipped in original and anti-hack prompt versions, plus two GLM-5.2 trajectory releases under OpenHands SDK and OpenCode, totaling 9,767 trajectories.
Release
Count
What it is
tasks/
5,000
Original prompts
tasks-anti-hack/
5,000
Same task IDs and task files, with… See the full description on the dataset page: https://huggingface.co/datasets/Lego-X/LegoFlow-SWE.club-sweethearts