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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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01ksamiein /MATH_OOD_Test_D1_Base_Model_Eval_COTtabularn<1K0 likes30 downloads11mo agoHugging Face02chupei /base_model_bad_casetextn<1K0 likes11 downloads2y agoHugging Face03NachtSpyder04 /Blind_Spots_of_Frontier_Model-Qwen3.5_4B_base Blind_Spots_of_Frontier_Model-Qwen3.5_4B_base This is a submission to the Technical challenge: Blind Spots of Frontier Models for Fatima Fellowship 2026 application Model Link: Qwen/Qwen3.5-4B-base Code Code link: https://gist.github.com/NachtSpyder04/8b1ccd5a29b37f7a82083c93b4f518c8 The model was loaded using the Hugging Face transformers library, and evaluated using deterministic decoding (temperature set to 0). I intentionally disabled sampling so that the outputs… See the full description on the dataset page: https://huggingface.co/datasets/NachtSpyder04/Blind_Spots_of_Frontier_Model-Qwen3.5_4B_base.textn<1K0 likes4 downloads7mo agoHugging Face04TaiGary /base_model_fine_tune_data_ultrachat_2kgated Dataset Card This dataset was used to fine-tune the base models to be reference models in the paper CleanGen. The dataset contains 1800 conversations from UltraChat and 200 samples from HH-RLHF. For each harmful question from HH-RLHF, a refusal phrase, "I'm sorry, but I cannot assist with that," is added at the beginning of the response. For more details, see the following paper: CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models… See the full description on the dataset page: https://huggingface.co/datasets/TaiGary/base_model_fine_tune_data_ultrachat_2k.text1K<n<10K0 likes3 downloads2y agoHugging Face05Tomodovodoo /blindspots-frontier-models-granite-4-0-1b-base Blind Spots of Frontier Models (IBM Granite 4.0 1B Base) Model tested: ibm-granite/granite-4.0-1b-baseModel card: https://huggingface.co/ibm-granite/granite-4.0-1b-base For inference, I ran this model locally, though I also experimented with free models from OpenRouter. This dataset contains 10 evaluation rows with: input expected_output model_output notes is_correct I loaded the model with transformers and evaluated it using strict concise-answer prompts. from transformers… See the full description on the dataset page: https://huggingface.co/datasets/Tomodovodoo/blindspots-frontier-models-granite-4-0-1b-base.texttext-generationn<1K0 likes3 downloads7mo agoHugging Face06SRP-base-model-training /flores_for_translationtext1K<n<10K0 likes2 downloads1y agoHugging Face07dnanper /basemodel-qwen2-7B-eval-ds1000text1K<n<10K0 likes1 downloads1y agoHugging Face

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