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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01twinkle-ai /devstral-eval-logs-and-scorestabular100K<n<1M0 likes148 downloads7mo agoHugging Face02twinkle-ai /Devstral-Small-2505-eval-logs-and-scorestabular100K<n<1M0 likes148 downloads6mo agoHugging Face03jordan-taylor-aisi /devstral_normal_devstral_small_2505_gdm_intercode_ctf Inspect Dataset: devstral_normal_devstral_small_2505_gdm_intercode_ctf Dataset Information This dataset was created using the create_inspect_dataset function from the deception_sprint package on 2025-06-17. Model Information Model: vllm/mistralai/Devstral-Small-2505 Model args: {'max_model_len': 32768, 'gpu_memory_utilization': 0.95, 'tensor_parallel_size': 4, 'tokenizer_mode': 'mistral', 'config_format': 'mistral', 'load_format': 'mistral'… See the full description on the dataset page: https://huggingface.co/datasets/jordan-taylor-aisi/devstral_normal_devstral_small_2505_gdm_intercode_ctf.tabularn<1K0 likes72 downloads1y agoHugging Face04suryadv /devstral-swe-bench-verified Devstral SWE-bench Verified Trajectories This dataset contains 4,000 mini-SWE-agent trajectories generated by mistralai/Devstral-Small-2-24B-Instruct-2512 on a fixed 250-problem training split of SWE-bench Verified. There are 16 independently seeded rollouts per problem. Every row preserves the exact request prefix mini-SWE-agent supplied before Devstral's first generation, the complete ordered rollout, a sanitized final patch, and termination metadata. Official SWE-bench… See the full description on the dataset page: https://huggingface.co/datasets/suryadv/devstral-swe-bench-verified.tabulartext-generation1K<n<10K0 likes67 downloads22d agoHugging Face05ubicloud /filtered-SWE-Openhands-Devstral-32k-20K Dataset Summary This dataset contains 20,000 high-quality SFT trajectories filtered and selected from SWE-Star, a 250K+ sample dataset collected under a modified OpenHands scaffold. The data is used to train SWE agent models under limited resources with a 32K context window. A single-source dataset is intentionally selected so that all training trajectories share a uniform scaffold, isolating the scaffold inconsistency effect: any performance variation across evaluation… See the full description on the dataset page: https://huggingface.co/datasets/ubicloud/filtered-SWE-Openhands-Devstral-32k-20K.texttext-generation10K<n<100K0 likes49 downloads4mo agoHugging Face06DCAgent /eval-Devstral-Small-2507_16concurrency_eval_ctx131k_no_terminal-bench-2.0textn<1K0 likes34 downloads8mo agoHugging Face07DCAgent /eval-Devstral-Small-2507_16concurrency_eval_ctx131k_no_OpenThoughts-TB-devtextn<1K0 likes18 downloads8mo agoHugging Face08hubertmarek /mistral-large-agent-diff-sft-mixed-old-plus-devstral-r0p8-64ktextn<1K0 likes18 downloads7mo agoHugging Face09DCAgent /eval-Devstral-Small-2507_16concurrency_eval_ctx131k_no_swebench-verified-random7d9d050ftextn<1K0 likes7 downloads8mo agoHugging Face

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