datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
machine_learning_questions
Dataset Card for "machine_learning_questions"
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mmlu-pro-cot-opus5bbh-cot-opus5musr-cot-opus5boolq-cot-opus5quantum-machine-learning-models
Neura Parse — Quantum Machine Learning Models: Encodings, Kernels, QNNs & Generative/Deep Architectures
A hands-on, code-first vertical on quantum models that learn from data. Spans data encodings/feature maps, variational classifiers, quantum kernels/QSVMs, and quantum neural networks through modern generative and deep architectures (quantum GANs, circuit Born machines, quantum Boltzmann machines, QCNNs, quantum autoencoders, quantum RL, and quantum… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-models.quantum-machine-learning-theory
Neura Parse — Quantum Machine Learning Theory: Trainability, Generalization & Learning From Quantum Data
A research-depth, proof-oriented vertical on the learning theory of quantum models and quantum data. Covers why parameterized quantum circuits train or don't (barren plateaus), what they can represent, when they generalize or provably beat classical models, and — for quantum data — how to predict properties of unknown states/channels with few measurements (classical… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-theory.mmlu-machine_learning
Dataset Card for "mmlu-machine_learning"
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Machine-Learning-Instruct
The dataset was messily gathered from various sources such as Unsloth Github, Kohya_SS Github, Transformers docs, PEFT docs and some more.
Then it was augmented and used as seed text to generate multi-turn, updated ML conversations. So, each conversation should be self-contained and ready for training (tho this is not always the case).
task718_mmmlu_answer_generation_machine_learning
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task718_mmmlu_answer_generation_machine_learning
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Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task718_mmmlu_answer_generation_machine_learning.mmlu-machine_learning-verbal-neg-prepend
Dataset Card for "mmlu-machine_learning-verbal-neg-prepend"
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machine-learning-forecasting-datammlu-machine_learning-dev
Dataset Card for "mmlu-machine_learning-dev"
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mmlu-machine_learning-neg-prepend-fix
Dataset Card for "mmlu-machine_learning-neg-prepend-fix"
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machine_learningmmlu-machine_learning-neg-answer
Dataset Card for "mmlu-machine_learning-neg-answer"
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noor_machine_learningmachinelearningmmlu-machine_learning-rule-neg
Dataset Card for "mmlu-machine_learning-rule-neg"
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mmlu-machine_learning-neg-prepend
Dataset Card for "mmlu-machine_learning-neg-prepend"
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MachineLearningDataset
Dataset Card for "MachineLearningDataset"
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mmlu-machine_learning-neg
Dataset Card for "mmlu-machine_learning-neg"
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mmlu-machine_learning-original-neg
Dataset Card for "mmlu-machine_learning-original-neg"
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Machine-Learningmmlu_machine_learning_custommmlu-machine_learning-original-neg-prepend
Dataset Card for "mmlu-machine_learning-original-neg-prepend"
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mmlu-machine_learning-rule-neg-prepend
Dataset Card for "mmlu-machine_learning-rule-neg-prepend"
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Machine_Learningcolpali_training_machine_learning