| --- |
| license: cc-by-sa-4.0 |
| language: |
| - en |
| pretty_name: SemiHS-Bench |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - text-classification |
| tags: |
| - customs-classification |
| - hs-code |
| - semiconductor |
| - benchmark |
| - dataset |
| --- |
| |
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| # SemiHS-Bench |
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| SemiHS-Bench is a semiconductor benchmark for HS6 customs classification from sparse ERP-style text. |
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| This is the **private Hugging Face mirror** for the MIL-HAL organization. It contains the data-only release and supporting documentation. Keep this repository private until the MIL/Hitachi release decision allows public distribution. |
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| ## Contents |
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| - 1,800 benchmark records: 900 training records and 900 evaluation records. |
| - 889 reference-ruling entries from CROSS, EBTI, and Japan Customs. |
| - HS2022 taxonomy and HS6 descriptions. |
| - JSON Schemas, SHA-256 manifest, statistics, datasheet, balance report, and license documentation. |
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| The main data files are under `data/`. Evaluation, benchmark-runner, and construction code are not included. |
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| ## Canonical archival record and DOI |
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| The canonical archival record is the Zenodo Version 2.0.0 record: |
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| - Version DOI: https://doi.org/10.5281/zenodo.21891036 |
| - Concept DOI for all versions: https://doi.org/10.5281/zenodo.21891035 |
| - Zenodo record: https://zenodo.org/records/21891036 |
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| The Zenodo record is currently embargoed. This Hugging Face repository is intentionally private and should not be made public until the embargo and MIL/Hitachi release approvals are complete. |
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| ## How to cite |
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| ### Dataset citation |
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| If you use the dataset itself, please cite the exact Zenodo release (Version 2.0.0): |
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| Penmatsa, Tirupati Venkata Sri Rama Raju, and Swapnil Bembde. (2026). *SemiHS-Bench: A Semiconductor Benchmark for HS6 Classification from Sparse ERP-Style Text* (Version 2.0.0) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.21891036 |
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| #### BibTeX |
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| ```bibtex |
| @misc{penmatsa2026semihsbench, |
| author = {Penmatsa, Tirupati Venkata Sri Rama Raju and Bembde, Swapnil}, |
| title = {SemiHS-Bench: A Semiconductor Benchmark for HS6 Classification from Sparse ERP-Style Text}, |
| year = {2026}, |
| publisher = {Zenodo}, |
| version = {2.0.0}, |
| doi = {10.5281/zenodo.21891036}, |
| url = {https://doi.org/10.5281/zenodo.21891036}, |
| note = {Dataset} |
| } |
| ``` |
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| ### Associated publication |
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| If you use the benchmark methodology or report experimental results, please also cite the associated CIKM 2026 paper: |
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| Bembde, Swapnil, and Penmatsa, Sai Rama Raju. (2026). *SemiHS-Bench: A Semiconductor Benchmark for HS6 Classification from Sparse ERP-Style Text*. Paper accepted at CIKM 2026; final ACM Digital Library citation and DOI forthcoming. |
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| Once the paper is officially published, this entry will be replaced with the final ACM citation and DOI. The Zenodo DOI above remains the correct citation for the data artifact. |
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| ## License and provenance |
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| The dataset is released under **CC BY-SA 4.0**. See `LICENSE-DATA` for provenance and attribution requirements. The source repository is https://github.com/cti-iel/SemiHS-Bench. |
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| The accompanying documentation notes that some source-reference and justification fields may retain supplier part numbers, names, or contact details from public rulings. Review the datasheet and `LICENSE-DATA` before any public release. |
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