Miah, Md Saef Ullah and Sulaiman, Junaida and Ferdous, I. U. and Sarwar, Talha (2022) TP-NER: A named entity recognition dataset of target and precursor named entities for high-temperature steel. [Research Data]
![[thumbnail of This dataset contains data for five annotated documents among 25 documents.]](https://umpir.ump.edu.my/style/images/fileicons/other.png "This dataset contains data for five annotated documents among 25 documents.")
Spreadsheet (This dataset contains data for five annotated documents among 25 documents.)
target-precursor-iob.csv - Supplemental Material
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DOI/Official URL: https://doi.org/10.17632/5zng6khy9h.1
Abstract
This dataset contains target and precursor-named entity data for high-temperature steel-related texts from published papers in IOB format. This dataset has been annotated and verified by domain experts. This dataset has 249304 rows and 3 columns. The sentence ID is in the first column, the tokens are in the second column, and the target or precursor tag is in the third column. This dataset contains data for five annotated documents among 25 documents.
| Item Type: | Research Data |
|---|---|
| Additional Information: | Cite dataset: Miah, M Saef Ullah; Sulaiman, Junaida; FERDOUS, IMAM UL; Sarwar, Talha Bin (2022), “TP-NER: A named entity recognition dataset of target and precursor named entities for high-temperature steel”, Mendeley Data, V1, doi: 10.17632/5zng6khy9h.1 |
| Uncontrolled Keywords: | Materials Science, Computational Materials Science, Natural Language Processing |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computing |
| Depositing User: | Ms Affida Abu Bakar |
| Date Deposited: | 04 Dec 2025 02:30 |
| Last Modified: | 04 Dec 2025 02:30 |
| URI: | https://umpir.ump.edu.my/id/eprint/45524 |
| Statistic Details: | View Download Statistic |
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