Add dataset card for PharmaShip

README.md

@@ -0,0 +1,55 @@
+---
+language:
+- zh
+license: other
+task_categories:
+- image-text-to-text
+tags:
+- document-ai
+- document-understanding
+- pharmaceutical
+- information-extraction
+---
+
+# PharmaShip: An Entity-Centric, Reading-Order-Supervised Benchmark for Chinese Pharmaceutical Shipping Documents
+
+[**Paper**](https://huggingface.co/papers/2512.23714) | [**Github**](https://github.com/KevinYuLei/PharmaShip)
+
+**PharmaShip** is a real-world Chinese dataset of scanned pharmaceutical shipping documents designed to stress-test pre-trained text-layout models under noisy OCR and heterogeneous templates.
+
+It covers three complementary tasks:
+* **Sequence Entity Recognition (SER)**: Identifying semantic entities at the segment level.
+* **Relation Extraction (RE)**: Modeling linkages between entities (e.g., Question-Answer pairs).
+* **Reading Order Prediction (ROP)**: Predicting a directed acyclic reading order graph to capture layout-induced reading strategies.
+
+PharmaShip adopts an entity-centric evaluation protocol to minimize confounds across architectures and highlights sequence-aware constraints as a transferable bias for structure modeling.
+
+## Dataset Statistics
+PharmaShip consists of **161** annotated scanned documents with **11,295** segments. The dataset is officially split into 128 samples for training and 33 samples for validation. Compared to existing benchmarks like FUNSD, CORD, and SROIE, PharmaShip features a higher density of entities and relations per sample, making it a more challenging benchmark for layout-intensive scenarios.
+
+## Sample Usage
+You can load the dataset directly using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("YuLeiKevin/PharmaShip")
+```
+
+## Citation
+If you find this dataset helpful for your research, please cite the following paper:
+
+```bibtex
+@misc{xie2025pharmashipentitycentricreadingordersupervisedbenchmark,
+      title={PharmaShip: An Entity-Centric, Reading-Order-Supervised Benchmark for Chinese Pharmaceutical Shipping Documents}, 
+      author={Tingwei Xie and Tianyi Zhou and Yonghong Song},
+      year={2025},
+      eprint={2512.23714},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2512.23714}, 
+}
+```
+
+## License
+The PharmaShip dataset can only be used for non-commercial research purposes.