"examples/community/composable_stable_diffusion.py" did not exist on "5e84353ebab5e0ce4fc762f64fabbdd9ac0c282a"
Commit 08b00288 authored by zihanl's avatar zihanl
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update README.md

parent 0fa7d87e
......@@ -13,7 +13,7 @@ Blow we present the steps to run our multi-stage dialogue prompting (MSDP) frame
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).
### Stage-2: Propmting for Response Generation
### Stage-2: Prompting for 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.
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