Update README.md

README.md

@@ -6,9 +6,9 @@ pretty_name: GPTDynamics
 # Dataset Card for GPTDynamics
 
 ## Dataset Summary
-GPTDynamics is a dataset for training and evaluating GPT simulators with training curriculums when training GPT models in fine-tuned and commanded fine-tuning scenarios as well as test metrics (including the loss, BLEU, or ROUGE score) for the test samples at each training steps.
+GPTDynamics is a dataset for training and evaluating GPT simulators with training curriculums when training GPT models in fine-tuned and commanded fine-tuning scenarios as well as test metrics (including the loss, BLEU, or ROUGE score) for the test samples at each training steps. It is introduced by this [paper](https://arxiv.org/pdf/2404.07840).
 
 ## Dataset Structure
-- id: ID of test examples
-- trajectory: A list of training status items for training the GPT. Each item includes the current training step, the corresponding training sample, and the test metrics for the test sample with ID *id*.
+- **id**: ID of test examples
+- **trajectory**: A list of training status items for training the GPT. Each item includes the current training step, the corresponding training sample, and the test metrics for the test sample with ID *id*.
 ## Data Instances