CLS-Lab/narradolma

NarraDolma NarraDolma is a large-scale narrative characterization of Dolma, the 3-trillion-token open pretraining corpus. It contains ~3M passages drawn from ~785K unique documents across all 12 Dolma sub-corpora, each labeled with a fine-grained narrative feature vector produced by NarraBert. It is the corpus behind the paper Characterizing Narrative Content in Web-scale LLM Pretraining Data and is intended as a resource for studying how narrative qualities are distributed… See the full description on the dataset page: https://huggingface.co/datasets/CLS-Lab/narradolma.

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