CoolFace
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self-supervised

jablonkagroup /mp_self_supervised Dataset Details Dataset Description The materials project is a dabase of computed properties of materials. Curated by: License: CC BY 4.0 Dataset Sources original data source Citation BibTeX: @article{jain2013commentary, title={Commentary: The Materials Project: A materials genome approach to accelerating materials innovation}, author={Jain, Anubhav and Ong, Shyue Ping and Hautier, Geoffroy and Chen, Wei and Richards, William Davidson and… See the full description on the dataset page: https://huggingface.co/datasets/jablonkagroup/mp_self_supervised.tabular1M<n<10M0 likes243 downloads1y agoHugging Facedd12345789 /Self-Supervised_RLThis repository contains the dataset and resources related to the paper Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following. The paper introduces a self-supervised reinforcement learning (RL) framework that improves instruction following capabilities of reasoning models by leveraging their internal signals, without requiring external supervision. This approach aims to address the trade-off between reasoning and instruction following, offering a… See the full description on the dataset page: https://huggingface.co/datasets/dd12345789/Self-Supervised_RL.texttext-generation10K<n<100K0 likes79 downloads5mo agoHugging FaceClarusC64 /selfsupervised-selfmonitoring-drift-detection-v0.1Self-Monitoring Drift Detection v0.1 What this tests Whether a system detects drift from its own baseline using a defined threshold. Rules dropdrift if baseline - current >= threshold risedrift if current - baseline >= threshold absdrift if abs(current - baseline) >= threshold Failure modes false_stability_claimDrift is present but the response claims stability threshold_handled_okResponse matches the threshold rule How it works baseline_value is the prior stable value current_value is… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/selfsupervised-selfmonitoring-drift-detection-v0.1.tabulartext-generationn<1K0 likes17 downloads8mo agoHugging FaceClarusC64 /selfsupervised-selfset-objective-integrity-v0.1Self-Set Objective Integrity v0.1 What this tests Whether a system chooses a proxy metric that truly tracks its stated objective. This isolates proxy misalignment and reward hacking risk. Failure modes proxy_misalignedResponse approves a proxy that does not track the stated objective proxy_gaming_riskResponse denies gaming risk when it is present objective_integrity_okResponse correctly rejects misaligned proxies and flags gaming risk How it works stated_objective defines the target… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/selfsupervised-selfset-objective-integrity-v0.1.texttext-generationn<1K0 likes15 downloads8mo agoHugging Faceerikacardenas300 /Self-Supervised-MNLItabular100K<n<1M0 likes14 downloads4y agoHugging Faceintrovoyz041 /Additive-Manufacturing-Self-Supervised-Learning-Coaxial-DED-Process-Zone-Imagingtextn<1K0 likes14 downloads5mo agoHugging Face