IndustryCorpus_automobile
This dataset was constructed to address the shortage of industry‑specific training data, including insufficient data volume, low quality, and lack of domain expertise. By applying 22 industry data processing operators to over 100 TB of open‑source data, a high‑quality 3.4 TB multi‑industry Chinese‑English pre‑training dataset was extracted. The filtered data consist of 1 TB Chinese and 2.4 TB English texts, with the Chinese portion annotated with 12 label types. The dataset covers 18 industry categories (e.g., medical, education, literature, finance) and undergoes rule‑based and model‑based filtering as well as document‑level deduplication. It is partitioned into 18 industry‑specific subsets; the description below pertains to the automotive subset.