paper_id stringlengths 10 10 | messages listlengths 3 3 | pred_score float64 1 9 | avg_score float64 1 10 | scores listlengths 2 6 | mae float64 0 5.8 | is_success bool 2
classes |
|---|---|---|---|---|---|---|
04RGjODVj3 | [
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"content": "You are an experienced ML reviewer. You are given the text of a peer review of a paper. Based only on the review's content, judge how strong the paper is and predict the average score the human reviewers gave it, on the ICLR 1-10 scale (1 strong reject, 3 reject, 4 borderline... | 3.8 | 3 | [
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04RGjODVj3 | [
{
"role": "system",
"content": "You are an experienced ML reviewer. You are given the text of a peer review of a paper. Based only on the review's content, judge how strong the paper is and predict the average score the human reviewers gave it, on the ICLR 1-10 scale (1 strong reject, 3 reject, 4 borderline... | 4 | 3 | [
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04qx93Viwj | [
{
"role": "system",
"content": "You are an experienced ML reviewer. You are given the text of a peer review of a paper. Based only on the review's content, judge how strong the paper is and predict the average score the human reviewers gave it, on the ICLR 1-10 scale (1 strong reject, 3 reject, 4 borderline... | 6.5 | 7.33 | [
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04qx93Viwj | [
{
"role": "system",
"content": "You are an experienced ML reviewer. You are given the text of a peer review of a paper. Based only on the review's content, judge how strong the paper is and predict the average score the human reviewers gave it, on the ICLR 1-10 scale (1 strong reject, 3 reject, 4 borderline... | 6.5 | 7.33 | [
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07yvxWDSla | [
{
"role": "system",
"content": "You are an experienced ML reviewer. You are given the text of a peer review of a paper. Based only on the review's content, judge how strong the paper is and predict the average score the human reviewers gave it, on the ICLR 1-10 scale (1 strong reject, 3 reject, 4 borderline... | 6 | 8 | [
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0CvJYiOo2b | [
{
"role": "system",
"content": "You are an experienced ML reviewer. You are given the text of a peer review of a paper. Based only on the review's content, judge how strong the paper is and predict the average score the human reviewers gave it, on the ICLR 1-10 scale (1 strong reject, 3 reject, 4 borderline... | 5.5 | 4.5 | [
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0CvJYiOo2b | [
{
"role": "system",
"content": "You are an experienced ML reviewer. You are given the text of a peer review of a paper. Based only on the review's content, judge how strong the paper is and predict the average score the human reviewers gave it, on the ICLR 1-10 scale (1 strong reject, 3 reject, 4 borderline... | 4.5 | 4.5 | [
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0F1rIKppTf | [
{
"role": "system",
"content": "You are an experienced ML reviewer. You are given the text of a peer review of a paper. Based only on the review's content, judge how strong the paper is and predict the average score the human reviewers gave it, on the ICLR 1-10 scale (1 strong reject, 3 reject, 4 borderline... | 5.8 | 5.75 | [
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0F1rIKppTf | [
{
"role": "system",
"content": "You are an experienced ML reviewer. You are given the text of a peer review of a paper. Based only on the review's content, judge how strong the paper is and predict the average score the human reviewers gave it, on the ICLR 1-10 scale (1 strong reject, 3 reject, 4 borderline... | 6 | 5.75 | [
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0JwxMqKGxa | [
{
"role": "system",
"content": "You are an experienced ML reviewer. You are given the text of a peer review of a paper. Based only on the review's content, judge how strong the paper is and predict the average score the human reviewers gave it, on the ICLR 1-10 scale (1 strong reject, 3 reject, 4 borderline... | 1.5 | 3.17 | [
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0JwxMqKGxa | [
{
"role": "system",
"content": "You are an experienced ML reviewer. You are given the text of a peer review of a paper. Based only on the review's content, judge how strong the paper is and predict the average score the human reviewers gave it, on the ICLR 1-10 scale (1 strong reject, 3 reject, 4 borderline... | 1.5 | 3.17 | [
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0Q1mBvUgmt | [
{
"role": "system",
"content": "You are an experienced ML reviewer. You are given the text of a peer review of a paper. Based only on the review's content, judge how strong the paper is and predict the average score the human reviewers gave it, on the ICLR 1-10 scale (1 strong reject, 3 reject, 4 borderline... | 5.5 | 3 | [
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