prompt listlengths 2 2 | chosen listlengths 1 1 | rejected listlengths 1 1 | chosen_pred float64 1 7.5 | rejected_pred float64 2.5 8.5 | paper_id stringlengths 10 10 | mean float64 1 7.5 |
|---|---|---|---|---|---|---|
[
{
"role": "system",
"content": "You are a careful, well-calibrated meta-reviewer for ICLR. The peer review you are given was written by an AI reviewer that tends to be too generous and to OVER-estimate the paper's quality.\n\nDo the following:\n1. In 2-3 sentences, note where the review over-states strength... | [
{
"role": "assistant",
"content": "The original review significantly underestimates the severity of the \"resting-state\" mislabeling; describing the misuse of pre-stimulus fixation data as merely a \"framing\" issue (Major) rather than a fundamental invalidation of the core contribution (which claims to un... | [
{
"role": "assistant",
"content": "1. The review over-states the severity of the \"resting-state\" mislabeling by treating it as a potential fatal flaw, when it is actually a significant but fixable framing error that does not invalidate the technical mechanism of using pre-stimulus data. It also slightly o... | 2.5 | 5.5 | 04RGjODVj3 | 3 |
[
{
"role": "system",
"content": "You are a careful, well-calibrated meta-reviewer for ICLR. The peer review you are given was written by an AI reviewer that tends to be too generous and to OVER-estimate the paper's quality.\n\nDo the following:\n1. In 2-3 sentences, note where the review over-states strength... | [
{
"role": "assistant",
"content": "The original review significantly underestimates the severity of the \"resting-state\" mislabeling; describing the misuse of pre-stimulus fixation data as merely a \"framing\" issue (Major) rather than a fundamental invalidation of the core contribution (which claims to un... | [
{
"role": "assistant",
"content": "The AI reviewer significantly over-credits the paper's novelty by framing the combination of hypernetworks and EEGNet as a \"fresh\" direction in MI-BCI, ignoring that hyperparameter adaptation based on connectivity metrics is a well-established pattern in neural engineeri... | 2.5 | 5.5 | 04RGjODVj3 | 3 |
[
{
"role": "system",
"content": "You are a careful, well-calibrated meta-reviewer for ICLR. The peer review you are given was written by an AI reviewer that tends to be too generous and to OVER-estimate the paper's quality.\n\nDo the following:\n1. In 2-3 sentences, note where the review over-states strength... | [
{
"role": "assistant",
"content": "The original review significantly underestimates the severity of the \"resting-state\" mislabeling; describing the misuse of pre-stimulus fixation data as merely a \"framing\" issue (Major) rather than a fundamental invalidation of the core contribution (which claims to un... | [
{
"role": "assistant",
"content": "The input review over-states the novelty of the approach and downplays critical methodological flaws. It treats the \"resting-state\" vs. \"pre-stimulus fixation\" distinction as a manageable framing issue rather than a fundamental gap that invalidates the core claim of ut... | 2.5 | 4.5 | 04RGjODVj3 | 3 |
[
{
"role": "system",
"content": "You are a careful, well-calibrated meta-reviewer for ICLR. The peer review you are given was written by an AI reviewer that tends to be too generous and to OVER-estimate the paper's quality.\n\nDo the following:\n1. In 2-3 sentences, note where the review over-states strength... | [
{
"role": "assistant",
"content": "1. The original review incorrectly downgrades a fundamental mathematical error regarding higher-order moments to a \"Major\" weakness, failing to recognize that claiming PCA preserves skewness/kurtosis when it does not is a fatal theoretical flaw that undermines the paper'... | [
{
"role": "assistant",
"content": "The review correctly identifies the fatal flaw in the paper's theoretical claim regarding the preservation of higher-order moments under PCA, but it over-weights this error relative to the empirical success of the method. The criticism regarding the dataset coverage is val... | 4.5 | 6.5 | 0CvJYiOo2b | 4.5 |
[
{
"role": "system",
"content": "You are a careful, well-calibrated meta-reviewer for ICLR. The peer review you are given was written by an AI reviewer that tends to be too generous and to OVER-estimate the paper's quality.\n\nDo the following:\n1. In 2-3 sentences, note where the review over-states strength... | [
{
"role": "assistant",
"content": "1. The original review accurately identifies a fatal theoretical error regarding PCA's preservation of higher-order moments and the narrow dataset scope, which the \"Removed Points\" section incorrectly attempts to downplay. The rewritten version below restores the severit... | [
{
"role": "assistant",
"content": "The review correctly identifies the fatal flaw in the paper's theoretical claim regarding the preservation of higher-order moments under PCA, but it over-weights this error relative to the empirical success of the method. The criticism regarding the dataset coverage is val... | 3.5 | 6.5 | 0CvJYiOo2b | 4.5 |
[
{
"role": "system",
"content": "You are a careful, well-calibrated meta-reviewer for ICLR. The peer review you are given was written by an AI reviewer that tends to be too generous and to OVER-estimate the paper's quality.\n\nDo the following:\n1. In 2-3 sentences, note where the review over-states strength... | [
{
"role": "assistant",
"content": "1. The original review accurately identifies a fatal theoretical error regarding PCA's preservation of higher-order moments and the narrow dataset scope, which the \"Removed Points\" section incorrectly attempts to downplay. The rewritten version below restores the severit... | [
{
"role": "assistant",
"content": "1. The review correctly identifies critical theoretical errors regarding PCA and insufficient dataset diversity, but it overstates the severity of the moment-preservation error as a \"Fatal\" weakness that undermines the entire paper; since the experimental results stand i... | 3.5 | 5.8 | 0CvJYiOo2b | 4.5 |
[
{
"role": "system",
"content": "You are a careful, well-calibrated meta-reviewer for ICLR. The peer review you are given was written by an AI reviewer that tends to be too generous and to OVER-estimate the paper's quality.\n\nDo the following:\n1. In 2-3 sentences, note where the review over-states strength... | [
{
"role": "assistant",
"content": "The original review accurately identifies a critical fatal flaw: the complete absence of quantitative results in the Results section despite bold claims in the Abstract and Introduction. However, it slightly over-emphasizes the \"fatal\" nature of the missing DINOv2 compar... | [
{
"role": "assistant",
"content": "The AI reviewer overstates the severity of the \"fatal\" weakness by characterizing missing evidence in the results section as rendering the paper's headline claim unsupported, whereas a missing subsection often allows for an \"Absent from Introduction\" judgment rather th... | 3 | 5.5 | 0JwxMqKGxa | 3.166667 |
[
{
"role": "system",
"content": "You are a careful, well-calibrated meta-reviewer for ICLR. The peer review you are given was written by an AI reviewer that tends to be too generous and to OVER-estimate the paper's quality.\n\nDo the following:\n1. In 2-3 sentences, note where the review over-states strength... | [
{
"role": "assistant",
"content": "1. The review over-states the severity of the missing \"Section 2\" and \"related work\" by flagging them as fatal flaws, which is inappropriate as these are likely formatting artifacts rather than substantive omissions. It also exaggerates the criticality of missing video... | [
{
"role": "assistant",
"content": "The AI reviewer overstates the severity of the \"fatal\" weakness by characterizing missing evidence in the results section as rendering the paper's headline claim unsupported, whereas a missing subsection often allows for an \"Absent from Introduction\" judgment rather th... | 3 | 5.5 | 0JwxMqKGxa | 3.166667 |
[
{
"role": "system",
"content": "You are a careful, well-calibrated meta-reviewer for ICLR. The peer review you are given was written by an AI reviewer that tends to be too generous and to OVER-estimate the paper's quality.\n\nDo the following:\n1. In 2-3 sentences, note where the review over-states strength... | [
{
"role": "assistant",
"content": "The provided AI review correctly identifies the fatal flaw of missing results (specifically the absence of the claimed AUC 0.92 comparison) and the lack of RL hyperparameters, but it slightly under-weights the severity of the undefined model variants (\"VC\", \"VCD\") whic... | [
{
"role": "assistant",
"content": "The AI reviewer overstates the severity of the \"fatal\" weakness by characterizing missing evidence in the results section as rendering the paper's headline claim unsupported, whereas a missing subsection often allows for an \"Absent from Introduction\" judgment rather th... | 2.5 | 5.5 | 0JwxMqKGxa | 3.166667 |
[
{
"role": "system",
"content": "You are a careful, well-calibrated meta-reviewer for ICLR. The peer review you are given was written by an AI reviewer that tends to be too generous and to OVER-estimate the paper's quality.\n\nDo the following:\n1. In 2-3 sentences, note where the review over-states strength... | [
{
"role": "assistant",
"content": "### 1. Meta-Review Analysis\nThe AI reviewer accurately identifies technical inconsistencies, such as the misleading \"two linear layers\" claim and the input-length asymmetry in baseline comparisons, but it undervalues the severity of these flaws. Specifically, it treats ... | [
{
"role": "assistant",
"content": "1. The original review over-states the \"fatal\" nature of the input-length asymmetry, treating it as a flaw that clouds the entire SOTA claim rather than a standard benchmarking inconsistency common in the field. Additionally, it under-weights the severity of the misleadi... | 3.5 | 6.5 | 0Q1mBvUgmt | 3 |
[
{
"role": "system",
"content": "You are a careful, well-calibrated meta-reviewer for ICLR. The peer review you are given was written by an AI reviewer that tends to be too generous and to OVER-estimate the paper's quality.\n\nDo the following:\n1. In 2-3 sentences, note where the review over-states strength... | [
{
"role": "assistant",
"content": "### 1. Meta-Review Analysis\nThe AI reviewer accurately identifies technical inconsistencies, such as the misleading \"two linear layers\" claim and the input-length asymmetry in baseline comparisons, but it undervalues the severity of these flaws. Specifically, it treats ... | [
{
"role": "assistant",
"content": "1. The original review over-states the quality of the SOTA comparison by calling asymmetrical input-length baselines (specifically Pyraformer and LogTrans) \"fairly tuned\" when it is a critical methodological flaw that invalidates the main efficiency claims. It also under... | 3.5 | 5.5 | 0Q1mBvUgmt | 3 |
[
{
"role": "system",
"content": "You are a careful, well-calibrated meta-reviewer for ICLR. The peer review you are given was written by an AI reviewer that tends to be too generous and to OVER-estimate the paper's quality.\n\nDo the following:\n1. In 2-3 sentences, note where the review over-states strength... | [
{
"role": "assistant",
"content": "### 1. Meta-Review Analysis\nThe AI reviewer accurately identifies technical inconsistencies, such as the misleading \"two linear layers\" claim and the input-length asymmetry in baseline comparisons, but it undervalues the severity of these flaws. Specifically, it treats ... | [
{
"role": "assistant",
"content": "1. The original review incorrectly listed several criticisms (missing baselines, confidence intervals, terminology novelty) in the \"Removed Points\" section while simultaneously identifying them as \"Fatal\" or \"Major\" weaknesses, creating a contradictory and overly opt... | 3.5 | 5.5 | 0Q1mBvUgmt | 3 |
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