Update README.md

README.md

@@ -13,12 +13,12 @@ task_ids: question-generation
 
 ## Dataset Description
 - **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
-- **Paper:** [TBA](TBA)
+- **Paper:** [https://arxiv.org/abs/2210.03992](https://arxiv.org/abs/2210.03992)
 - **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
 
 ### Dataset Summary
 This is a subset of [QG-Bench](https://github.com/asahi417/lm-question-generation/blob/master/QG_BENCH.md#datasets), a unified question generation benchmark proposed in
- ["Generative Language Models for Paragraph-Level Question Generation: A Unified Benchmark and Evaluation, EMNLP 2022 main conference"](paper_link).
+ ["Generative Language Models for Paragraph-Level Question Generation: A Unified Benchmark and Evaluation, EMNLP 2022 main conference"](https://arxiv.org/abs/2210.03992).
 This is a modified version of [KorQuAD](https://huggingface.co/datasets/squad_kor_v1) for question generation (QG) task.
 Since the original dataset only contains training/validation set, we manually sample test set from training set, which
 has no overlap in terms of the paragraph with the training set.