Rubin-Wei/kNN-Targets-wikipedia-mistral
Dataset Overview This dataset provides k-nearest neighbor (kNN) target distributions for language modeling. Each token in the Wikipedia corpus is associated with a soft probability distribution over its top-k nearest neighbors in the representation space of a frozen language model. These targets can be used to train MLP Memory. Corresponding Preprocessed Corpus: Rubin-Wei/enwiki-dec2021-preprocessed-mistral Compatible Model: Mistral-7B-v0.3 Paper: MLP Memory: A… See the full description on the dataset page: https://huggingface.co/datasets/Rubin-Wei/kNN-Targets-wikipedia-mistral.
| Author / organization | Rubin-Wei |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 906 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 19 October 2025 |
| Last updated at source | 22 October 2025 |
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Recent changes
- 16 Oct 2026 Description: Dataset Overview This dataset provides k-nearest neighbor (kNN) target distributions for language modeling. Each token in the Wikipedia corpus is associated with a soft probability distribution over its top-k nearest neighbors in the repres → Dataset Overview This dataset provides k-nearest neighbor (kNN) target distributions for language modeling. Each token in the Wikipedia corpus is associated with a soft probability distribution over its top-k nearest neighbors in the repres
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