datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
scale_up_swegymswe_doc_gen_all_func_SWE-Gym_trainMuse-Glimmer-SWE-Gym-2k
Muse-Glimmer-SWE-Gym-2k
Agentic coding traces from meta-models/Muse-Glimmer-30B, recorded for training a
speculative-decoding drafter. 1,981 mini-swe-agent trajectories over SWE-Gym and
SWE-bench-extra instances, and the 159,999 individual chat-completion calls behind them.
Configs
Config
Rows
Size
What it is
train
1,981
57 MB
One row per trajectory: the full conversation as messages.
raw
159,999
2.7 GB
One row per recorded API call: request and… See the full description on the dataset page: https://huggingface.co/datasets/Satgoy152/Muse-Glimmer-SWE-Gym-2k.Nano-SFT-SWE-Gym-gemini-2.5-flashswe_doc_gen_all_func_SWE-Gym_train_sampled500swe_doc_gen_SWE-Gym-Lite_trainleader-training-swe-gym-restDCFT-swe_gym_annotate-etash_eval_03-17-25_16-24-03_9c11DCFT-swe_gym_annotate_with_patch-etash_eval_1742396870_9c11swe_doc_gen_SWE-Gym-Raw_train_sampled2000