update README.md

tasks/knwl_dialo/README.md

 
 # Multi-Stage Prompting for Knowledgeable Dialogue Generation
 
-We present the steps to run our multi-stage dialogue prompting (MSDP), as well as the finetuning-based baselines (i.e., finetuning-based knowledge generation (FKG) and finetuning-based coversation model (FCM)).
+Blow we present the steps to run our multi-stage dialogue prompting (MSDP) framework.
 
-## Multi-Stage Dialogue Prompting (MSDP)
+## Multi-Stage Dialogue Prompting
 
 ### Data Preparation
 1. Dataset Download: [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia/) and [Wizard of Internet](https://parl.ai/projects/sea/)
-2. Data Processing: We provide script ```tasks/knwl_dialo/scripts/data_processing.sh``` to process the data.
+2. Data Processing: We provide script [`tasks/knwl_dialo/scripts/data_processing.sh`](./scripts/data_processing.sh) to process the data.
 
 ### Knowledge Generation
-1. The script ```tasks/knwl_dialo/scripts/prompt_knwl_gen.sh``` provides an example for how to perform the first-stage prompting for the knowledge generation.
-2. The F1/FK1 score can be evaluated through ```tasks/knwl_dialo/scripts/eval_generation.sh```. Other automatic metrics (i.e., BLEU, METEOR, and ROUGE-L) follow the [nlg-eval](https://github.com/Maluuba/nlg-eval).
+1. The script [`tasks/knwl_dialo/scripts/prompt_knwl_gen.sh`](./scripts/prompt_knwl_gen.sh) provides an example for how to perform the first-stage prompting for the knowledge generation.
+2. The F1/FK1 score can be evaluated through [`tasks/knwl_dialo/scripts/eval_generation.sh`](./scripts/eval_generation.sh). Other automatic metrics (i.e., BLEU, METEOR, and ROUGE-L) follow the [nlg-eval](https://github.com/Maluuba/nlg-eval).
 
 ### Response Generation
-1. The script ```tasks/knwl_dialo/scripts/prep_resp_gen.sh``` helps to prepare the input file for the response generation (based on the previously generated knowledge file).
-2. The script ```tasks/knwl_dialo/scripts/prompt_resp_gen.sh``` provides an example for how to perform the second-stage prompting for the response generation.
+1. The script [`tasks/knwl_dialo/scripts/prep_resp_gen.sh`](./scripts/prep_resp_gen.sh) helps to prepare the input file for the response generation (based on the previously generated knowledge file).
+2. The script [`tasks/knwl_dialo/scripts/prompt_resp_gen.sh`](./scripts/prompt_resp_gen.sh) provides an example for how to perform the second-stage prompting for the response generation.
 3. The automatic evaluations are the same as mentioned aboved for the knowledge generation.
-
-## Finetuning-based Baselines
-
-### FKG
-The script ```tasks/knwl_dialo/scripts/finetune_knwl_gen.sh``` provides an example for how to train a finetuning-based knowledge generation model (FKG).
-
-### FCM
-The script ```tasks/knwl_dialo/scripts/finetune_resp_gen.sh``` provides an example for how to train a finetuning-based conversational model (FCM).
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