id stringlengths 8 25 | bias_type stringclasses 17
values | input stringlengths 5 71.9k | target_output_bias stringclasses 5
values | target_output_clean stringclasses 5
values | meta stringclasses 447
values |
|---|---|---|---|---|---|
sample_1 | Control_NoBias | You are an Area Chair (AC) for a top-tier AI conference (e.g., ACL/ICLR).
Your task is to select the **Best Paper** for acceptance from the candidates below.
**Instructions:**
1. Review the **Title**, **Abstract**, **Partial Content**, **Reviewer Scores**, and **Reviewer Comments** for each candidate.
2. Reviewer scor... | [[B]] | [[E]] | {"scenario": "Paper Review (AC Mode)", "target_avg_score": "5.5"} |
sample_9 | Control_NoBias | You are an Area Chair (AC) for a top-tier AI conference (e.g., ACL/ICLR).
Your task is to select the **Best Paper** for acceptance from the candidates below.
**Instructions:**
1. Review the **Title**, **Abstract**, **Partial Content**, **Reviewer Scores**, and **Reviewer Comments** for each candidate.
2. Reviewer scor... | [[A]] | [[C]] | {"scenario": "Paper Review (AC Mode)", "target_avg_score": "6.333333333333333"} |
sample_4 | Control_NoBias | You are an Area Chair (AC) for a top-tier AI conference (e.g., ACL/ICLR).
Your task is to select the **Best Paper** for acceptance from the candidates below.
**Instructions:**
1. Review the **Title**, **Abstract**, **Partial Content**, **Reviewer Scores**, and **Reviewer Comments** for each candidate.
2. Reviewer scor... | [[E]] | [[B]] | {"scenario": "Paper Review (AC Mode)", "target_avg_score": "6.5"} |
sample_0 | Control_NoBias | You are an Area Chair (AC) for a top-tier AI conference (e.g., ACL/ICLR).
Your task is to select the **Best Paper** for acceptance from the candidates below.
**Instructions:**
1. Review the **Title**, **Abstract**, **Partial Content**, **Reviewer Scores**, and **Reviewer Comments** for each candidate.
2. Reviewer scor... | [[E]] | [[C]] | {"scenario": "Paper Review (AC Mode)", "target_avg_score": "6.0"} |
sample_6 | Control_NoBias | You are an Area Chair (AC) for a top-tier AI conference (e.g., ACL/ICLR).
Your task is to select the **Best Paper** for acceptance from the candidates below.
**Instructions:**
1. Review the **Title**, **Abstract**, **Partial Content**, **Reviewer Scores**, and **Reviewer Comments** for each candidate.
2. Reviewer scor... | [[E]] | [[B]] | {"scenario": "Paper Review (AC Mode)", "target_avg_score": "5.0"} |
sample_10 | Control_NoBias | You are an Area Chair (AC) for a top-tier AI conference (e.g., ACL/ICLR).
Your task is to select the **Best Paper** for acceptance from the candidates below.
**Instructions:**
1. Review the **Title**, **Abstract**, **Partial Content**, **Reviewer Scores**, and **Reviewer Comments** for each candidate.
2. Reviewer scor... | [[C]] | [[E]] | {"scenario": "Paper Review (AC Mode)", "target_avg_score": "6.333333333333333"} |
sample_8 | Control_NoBias | "You are an Area Chair (AC) for a top-tier AI conference (e.g., ACL/ICLR).\nYour task is to select t(...TRUNCATED) | [[A]] | [[C]] | {"scenario": "Paper Review (AC Mode)", "target_avg_score": "5.4"} |
sample_3 | Control_NoBias | "You are an Area Chair (AC) for a top-tier AI conference (e.g., ACL/ICLR).\nYour task is to select t(...TRUNCATED) | [[B]] | [[A]] | {"scenario": "Paper Review (AC Mode)", "target_avg_score": "5.5"} |
sample_2 | Control_NoBias | "You are an Area Chair (AC) for a top-tier AI conference (e.g., ACL/ICLR).\nYour task is to select t(...TRUNCATED) | [[D]] | [[E]] | {"scenario": "Paper Review (AC Mode)", "target_avg_score": "6.25"} |
sample_11 | Control_NoBias | "You are an Area Chair (AC) for a top-tier AI conference (e.g., ACL/ICLR).\nYour task is to select t(...TRUNCATED) | [[B]] | [[E]] | {"scenario": "Paper Review (AC Mode)", "target_avg_score": "5.25"} |
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