Merge branch 'IBM:dev' into dev-pankaj

README.md

@@ -30,7 +30,8 @@ The goal is to offer high-level APIs for developers to quickly get started in wo
 - [Scaling transforms from laptop to cluster](#laptop_cluster)
 - [Repository Use and Navigation](doc/repo.md)
 - [How to Contribute](CONTRIBUTING.md)
-- [Papers and Talks](#talks_papers)
+- [Talks and Papers](#talks_papers)
+- [Citations](#citations)
 
 ## &#x1F4D6; About <a name = "about"></a>
 
@@ -131,7 +132,7 @@ The matrix below shows the the combination of modules and supported runtimes. Al
 | **Data Ingestion**                                                                   |                    |                    |                    |                    |
 | [Code (from zip) to Parquet](transforms/code/code2parquet/python/README.md)          | :white_check_mark: | :white_check_mark: |                    | :white_check_mark: |
 | [PDF to Parquet](transforms/language/pdf2parquet/python/README.md)                   | :white_check_mark: | :white_check_mark: |                    | :white_check_mark: |
-| [HTML to Parquet](transforms/universal/html2parquet/python/README.md)                | :white_check_mark: |                    |                    |                    |
+| [HTML to Parquet](transforms/language/html2parquet/python/README.md)                | :white_check_mark: | :white_check_mark: |                    |                    |
 | **Universal (Code & Language)**                                                      |                    |                    |                    |                    | 
 | [Exact dedup filter](transforms/universal/ededup/ray/README.md)                      | :white_check_mark: | :white_check_mark: |                    | :white_check_mark: |
 | [Fuzzy dedup filter](transforms/universal/fdedup/ray/README.md)                      |                    | :white_check_mark: |                    | :white_check_mark: |
@@ -220,3 +221,23 @@ You can run transforms via docker image or using virtual environments. This [doc
 5. Talk on "Hands on session for fine tuning LLMs" [Video](https://www.youtube.com/watch?v=VEHIA3E64DM)
 6. Talk on "Build your own data preparation module using data-prep-kit" [Video](https://www.youtube.com/watch?v=0WUMG6HIgMg)
 
+## Citations <a name = "citations"></a>
+
+If you use Data Prep Kit in your research, please cite our paper:
+
+```bash
+@misc{wood2024dataprepkitgettingdataready,
+      title={Data-Prep-Kit: getting your data ready for LLM application development}, 
+      author={David Wood and Boris Lublinsky and Alexy Roytman and Shivdeep Singh 
+      and Abdulhamid Adebayo and Revital Eres and Mohammad Nassar and Hima Patel 
+      and Yousaf Shah and Constantin Adam and Petros Zerfos and Nirmit Desai 
+      and Daiki Tsuzuku and Takuya Goto and Michele Dolfi and Saptha Surendran 
+      and Paramesvaran Selvam and Sungeun An and Yuan Chi Chang and Dhiraj Joshi 
+      and Hajar Emami-Gohari and Xuan-Hong Dang and Yan Koyfman and Shahrokh Daijavad},
+      year={2024},
+      eprint={2409.18164},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2409.18164}, 
+}
+```