The largest classified corpus of Word documents. 736K+ .docx files from the public web, classified into 10 document types and 9 topics across 76 languages.
This dataset contains metadata for publicly available .docx files collected from the web. Each document has been classified by document type and topic using a two-stage pipeline: LLM labeling (Claude) of a stratified sample, followed by fine-tuned XLM-RoBERTa classifiers applied at… See the full description on the dataset page:
https://huggingface.co/datasets/superdoc-dev/docx-corpus.
