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01SpeckledCerberus /exploitgym-answers ExploitGym Benchmark — Official Solutions & Answer Keys ⚠️ INTERNAL — DO NOT DISTRIBUTE Mirror of the evaluation cluster's solution set. Authorized use only. For bug fixes / errata, contact the eval-infra team. Contents File Description answers/exploitgym-v2-key.json Full answer key + exploit walkthroughs (v2 cycle) answers/exploitgym-v3-key.json Answer key for the unreleased v3 cycle credentials.txt Evaluation cluster service credentials… See the full description on the dataset page: https://huggingface.co/datasets/SpeckledCerberus/exploitgym-answers.0 likes1.8k downloads2mo agoHugging Face02AtAndDev /SpeckPostTrainTesttext100K<n<1M0 likes148 downloads11d agoHugging Face03specklabs /SpeckChat1 SpeckChat1 SpeckChat1 is a 300,000 sample instruction-tuning dataset. Sources teknium/OpenHermes-2.5: 180,000 samples Magpie-Align/Magpie-Air-MT-300K-v0.1: 98,523 samples HuggingFaceH4/no_robots: 10,000 samples allenai/coconot: 11,477 samples Each sample contains a messages conversation, plus a source field containing the original Hugging Face dataset ID. Please review the licenses and usage terms of the source datasets. text100K<n<1M2 likes110 downloads1mo agoHugging Face04specklabs /SpeckChat2 SpeckChat2 SpeckChat2 is a 500,000 sample instruction-tuning dataset. Sources OpenLeecher/lmsys_chat_1m_clean: 200,000 samples Magpie-Align/Magpie-Llama-3.1-Pro-MT-500K-v0.1: 130,000 samples enPurified/Hermes-3-Dataset-enPurified-openai-messages: 85,000 samples enPurified/ultrachat_200k_sft-enPurified-openai-messages: 65,000 samples Magpie-Align/Magpie-Reasoning-V1-150K: 10,000 samples HuggingFaceH4/no_robots: 8,000 samples… See the full description on the dataset page: https://huggingface.co/datasets/specklabs/SpeckChat2.tabular100K<n<1M2 likes105 downloads1mo agoHugging Face05MarMaster /coco-c-speckle-noiseimage1K<n<10K0 likes65 downloads5mo agoHugging Face06MarMaster /corruption-speckle_noise Corruption Dataset: Speckle_Noise Dataset Description This dataset contains corrupted versions of ImageNet-1K images using speckle_noise corruption. It is part of the ImageNet-C benchmark for evaluating model robustness to common image corruptions. Dataset Structure Train: 1,281,167 corrupted images Validation: 50,000 corrupted images Classes: 1000 ImageNet-1K classes Format: Arrow (Hugging Face Datasets) Corruption Type: Speckle_Noise Adds… See the full description on the dataset page: https://huggingface.co/datasets/MarMaster/corruption-speckle_noise.imageimage-classification1M<n<10M0 likes42 downloads11mo agoHugging Face07as-cle-bert /speckledatatext1K<n<10K0 likes12 downloads2y agoHugging Face08tismail /TRNG_Speckleimagen<1K0 likes2 downloads1y agoHugging Face09tismail /speckle_dataset0 likes2 downloads1y agoHugging Face

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