chunked/nltk_chunking/model_doc_depth_anything/chunk_4.txt

To this end, we scale up the dataset by designing a data engine to collect and automatically annotate large-scale unlabeled data (~62M), which significantly enlarges the data coverage and thus is able to reduce the generalization error.