A Chinese-Tibetan Anchor-Enhanced Parallel Corpus – CT-AEPC

To this end, this article constructs a Chinese Tibetan anchor enhanced parallel corpus CT-AEPC. This corpus is based on publicly accessible Chinese webpage text and is formed through steps such as webpage body extraction, noise cleaning, Chinese sentence segment screening, Tibetan candidate translation generation, manual proofreading, anchor point extraction, quality scoring, duplicate sample removal, sensitive information filtering, and structured encapsulation.

CT-AEPC contains a total of 99907 parallel text samples from China and Tibet, with a data format of JSONL and a data size of approximately 203.77MB. Each sample includes fields such as qid, query, positive, query_date, anchors, features, and quality_store. Among them, 'query' is a Chinese sentence segment, 'positive' is the corresponding Tibetan text, 'anchors' records verifiable factual anchor points such as date, time, and quantity,' features' records text length, anchor point quantity, language character ratio, length matching, and numerical consistency, and 'quality_store' represents the automatic structural quality assessment results of the sample.