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README.md
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@@ -26,9 +26,9 @@ Llama2-13B-SteerLM-RM is a 13 billion parameter language model (with context of
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Given a conversation with multiple turns between user and assistant, it rates the following attributes (between 0 and 4) for every assistant turn.
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1. **Quality**: Perceived goodness of response
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2. **Toxicity**: Undesirable elements such as vulgar, harmful or potentially biased
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3. **Humor**: Sense of humor within
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4. **Creativity**: Willingness to generate non-conventional
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5. **Helpfulness**: Overall helpfulness of the response to the prompt.
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6. **Correctness**: Inclusion of all pertinent facts without errors.
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7. **Coherence**: Consistency and clarity of expression.
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Given a conversation with multiple turns between user and assistant, it rates the following attributes (between 0 and 4) for every assistant turn.
|
27 |
|
28 |
1. **Quality**: Perceived goodness of response
|
29 |
+
2. **Toxicity**: Undesirable elements such as vulgar, harmful or potentially biased response
|
30 |
+
3. **Humor**: Sense of humor within response
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31 |
+
4. **Creativity**: Willingness to generate non-conventional response
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32 |
5. **Helpfulness**: Overall helpfulness of the response to the prompt.
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33 |
6. **Correctness**: Inclusion of all pertinent facts without errors.
|
34 |
7. **Coherence**: Consistency and clarity of expression.
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