Add dataset card README with paper citations

README.md

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+# AgriIR Agricultural Knowledge Dataset
+
+<p align="center">
+  <a href="https://arxiv.org/abs/2604.16353">
+    <img src="https://img.shields.io/badge/arXiv-2604.16353-red?style=for-the-badge" alt="arXiv">
+  </a>
+  <a href="https://doi.org/10.1007/978-3-032-21324-2_37">
+    <img src="https://img.shields.io/badge/DOI-10.1007/978--green?style=for-the-badge" alt="DOI">
+  </a>
+  <img src="https://img.shields.io/badge/dataset-HuggingFace-yellow?style=for-the-badge" alt="HuggingFace">
+</p>
+
+## Overview
+
+This dataset accompanies the **AgriIR** paper - a scalable framework for domain-specific knowledge retrieval in agricultural contexts. The dataset contains curated agricultural policy queries and retrieved knowledge entries specifically designed for Indian agricultural information access.
+
+## Citation
+
+If you use this dataset, please cite the original paper. You can use either the arXiv or Springer version:
+
+### Springer/Conference Citation (Recommended for academic publications)
+
+```bibtex
+@InProceedings{10.1007/978-3-032-21324-2_37,
+  author="Banerji Seal, Shuvam and Poddar, Aheli and Mishra, Alok and Roy, Dwaipayan",
+  editor="Campos, Ricardo and Jatowt, Adam and Lan, Yanyan and Aliannejadi, Mohammad and Bauer, Christine and MacAvaney, Sean and Anand, Avishek and Ren, Zhaochun and Verberne, Suzan and Bai, Nan and Mansoury, Masoud",
+  title="AgriIR: A Scalable Framework for Domain-Specific Knowledge Retrieval",
+  booktitle="Advances in Information Retrieval",
+  year="2026",
+  publisher="Springer Nature Switzerland",
+  address="Cham",
+  pages="489--504",
+  doi={10.1007/978-3-032-21324-2_37},
+  isbn="978-3-032-21324-2"
+}
+```
+
+### arXiv Citation
+
+```bibtex
+@misc{BanerjiSeal2026AgriIR,
+  title={AgriIR: A Scalable Framework for Domain-Specific Knowledge Retrieval},
+  author={Shuvam Banerji Seal and Aheli Poddar and Alok Mishra and Dwaipayan Roy},
+  year={2026},
+  eprint={2604.16353},
+  archivePrefix={arXiv},
+  primaryClass={cs.IR},
+  url={https://arxiv.org/abs/2604.16353}
+}
+```
+
+**Note**: The Springer version (published in ECMIR 2026) is the official peer-reviewed publication. The arXiv version may contain additional technical details.
+
+## Dataset Details
+
+- **Total Entries**: 15,247 agricultural knowledge entries
+- **Domain**: Indian Agricultural Information Access
+- **Format**: JSONL (JSON Lines)
+- **Size**: ~1.9GB (compressed ~678MB)
+
+## Authors
+
+- **Shuvam Banerji Seal** [[GitHub]](https://github.com/Shuvam-Banerji-Seal) [[Email]](mailto:sbs22ms076@iiserkol.ac.in)  
+  Indian Institute of Science Education and Research, Kolkata, India
+
+- **Aheli Poddar** [[GitHub]](https://github.com/XAheli) [[Email]](mailto:aheli.poddar2022@iem.edu.in)  
+  Institute of Engineering & Management, Kolkata, India
+
+- **Alok Mishra** [[Email]](mailto:maa24ms215@iiserkol.ac.in)  
+  Indian Institute of Science Education and Research, Kolkata, India
+
+- **Dwaipayan Roy** [[GitHub]](https://github.com/dwaipayanroy) [[Email]](mailto:dwaipayan.roy@iiserkol.ac.in)  
+  Indian Institute of Science Education and Research, Kolkata, India
+
+## Related Links
+
+- 📄 **arXiv Paper**: https://arxiv.org/abs/2604.16353
+- 📚 **Springer Chapter**: https://doi.org/10.1007/978-3-032-21324-2_37
+- 💻 **GitHub Repository**: https://github.com/Shuvam-Banerji-Seal/AgriIR
+- 🎥 **Video Demonstration**: https://bit.ly/AgriIR
+
+## License
+
+<a href="https://creativecommons.org/licenses/by/4.0/">
+  <img src="https://img.shields.io/badge/License-CC%20BY%204.0-blue?style=for-the-badge" alt="License: CC BY 4.0">
+</a>
+
+This dataset is released under the Creative Commons Attribution 4.0 International License.
+
+---
+
+*For questions about the dataset, please contact the authors via email.*