This tutorial demonstrates how to the measure novelty of text queries with respect to the provided SmolLM and SmolLM2 pretraining corpora, with optional ColBERTv2 re-ranking for improved precision.
Generate Embeddings - Encode your queries using a sentence transformer
FAISS Search - Retrieve top-K most similar documents from the pretraining corpus
Combine Results -… See the full description on the dataset page:
https://huggingface.co/datasets/stai-tuebingen/faiss-smollm.