TMIP_MD: Tibetan Medical Classics Entity Term Dataset
收藏DataCite Commons2026-01-27 更新2026-05-05 收录
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https://www.scidb.cn/detail?dataSetId=4653cc3c8bac4985be70ffbc9bcd8c13
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资源简介：
We proposes a Hybrid Adaptive Word Segmentation (HAWS) method based on a previously constructed Tibetan Medicine entity dictionary, to extract entity terms from ancient Tibetan medical texts and to build and release a Tibetan Medicine entity dataset (TMIP_ETD). Specifically, First, the 100 ancient books (333 volumes) included in the “Collection of Classical Tibetan Medicine Literature” were digitized, resulting in a text dataset of 13.8 million syllables. Then, the HAWS method was used for tokenization, and potential entities with a frequency of at least 12 were extracted. After manual verification, a dataset of Tibetan medicine classics entity terms containing 34,601 entries was obtained. This Dataset providing data foundation for knowledge mining and digital inheritance of Tibetan medicine ancient classics.
提供机构：
Science Data Bank
创建时间：
2026-01-27
