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fixed alice.py #32

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May 23, 2024
Merged

fixed alice.py #32

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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -47,7 +47,7 @@ We also include a [Notebook](./notebooks/load_datasets.ipynb) showing how to dow
To generate data by passing prompts into the pretrained language model (GPT-3) used in this work please use the following command:

```
python generate.py --input_prompt_file <path_to_prompt_file.txt> --language_model GPT3 --output_file <path_to_output_file.txt> --num_generations_per_prompt 10 --openai_api_key <your_api_key>
python generate.py --input_prompt_file <path_to_prompt_file.txt> --language_model GPT3 --output_file <path_to_output_file.txt> --num_generations_per_prompt 10 --api_key <your_api_key>
```

You can choose from a list of [prompt files](./prompts/) that we have used in this work or write your own and point to the file (shown below). A prompt file is a text file with one line per prompt (a string).
Expand All @@ -57,7 +57,7 @@ You can choose from a list of [prompt files](./prompts/) that we have used in th
To generate data using ALICE, it is necessary to choose a generator (GPT3 in our case) and a pre-trained hate speech classifier. We provide examples here and the guidance about how to add new classifiers. To generate with ALICE, run this command:

```
python generate.py --input_prompts <path_to_prompt_file.txt> --language_model GPT3 --ALICE True --classifier HateBERT --output-file <path_to_output_file.txt> --openai_api_key <your_api_key>
python generate.py --input_prompt_file <path_to_prompt_file.txt> --language_model GPT3 --ALICE True --classifier HateBERT --output_file <path_to_output_file.txt> --api_key <your_api_key>
```

## Writing your own demonstrations
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