Dataset Viewer
name
string | metadata
dict | user_message
string | thinking_trace_sonnet
string | review_sonnet
string | prompt_length
int64 | paper_content
string | paper_id
string | review
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104.pdf | {"abstractText":"Integrating text and knowledge into a unified semantic space has attracted signific(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | "Let me analyze this paper on \"Multi-Prototype Mention Embedding\" that addresses the challenge of (...TRUNCATED) | "# Peer Review: Multi-Prototype Mention Embedding for Entity Disambiguation\n\n## Summary\nThis pape(...TRUNCATED) | 42,644 | "Title: No title found\n\nAbstract: Integrating text and knowledge into a unified semantic space has(...TRUNCATED) | 104 | "- Strengths:\n* Outperforms ALIGN in supervised entity linking task which suggests that the\npropos(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) |
104.pdf | {"abstractText":"Integrating text and knowledge into a unified semantic space has attracted signific(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | "Let me analyze this paper on \"Multi-Prototype Mention Embedding\" that addresses the challenge of (...TRUNCATED) | "# Peer Review: Multi-Prototype Mention Embedding for Entity Disambiguation\n\n## Summary\nThis pape(...TRUNCATED) | 42,644 | "Title: No title found\n\nAbstract: Integrating text and knowledge into a unified semantic space has(...TRUNCATED) | 104 | "- Strengths:\nGood ideas, simple neural learning, interesting performance (altough not\nstriking) a(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) |
104.pdf | {"abstractText":"Integrating text and knowledge into a unified semantic space has attracted signific(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | "Let me analyze this paper on \"Multi-Prototype Mention Embedding\" that addresses the challenge of (...TRUNCATED) | "# Peer Review: Multi-Prototype Mention Embedding for Entity Disambiguation\n\n## Summary\nThis pape(...TRUNCATED) | 42,644 | "Title: No title found\n\nAbstract: Integrating text and knowledge into a unified semantic space has(...TRUNCATED) | 104 | "This paper addresses the problem of disambiguating/linking textual entity\nmentions into a given ba(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) |
105.pdf | {"abstractText":"We present a neural model for morphological inflection generation which employs a h(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | "Let me analyze this paper and provide a comprehensive peer review:\n\n### Overview\nThis paper pres(...TRUNCATED) | "# Peer Review: \"Morphological Inflection Generation with Hard Attention\"\n\n## Summary\nThis pape(...TRUNCATED) | 6,975 | "Title: Morphological Inflection Generation with Hard Monotonic Attention\n\nAbstract: We present a (...TRUNCATED) | 105 | "- Strengths:\nThe idea of hard monotonic attention is new and substantially different from\nothers.(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) |
105.pdf | {"abstractText":"We present a neural model for morphological inflection generation which employs a h(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | "Let me analyze this paper and provide a comprehensive peer review:\n\n### Overview\nThis paper pres(...TRUNCATED) | "# Peer Review: \"Morphological Inflection Generation with Hard Attention\"\n\n## Summary\nThis pape(...TRUNCATED) | 6,975 | "Title: Morphological Inflection Generation with Hard Monotonic Attention\n\nAbstract: We present a (...TRUNCATED) | 105 | "- Strengths: A new encoder-decoder model is proposed that explicitly takes \ninto account monotonic(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) |
107.pdf | {"abstractText":"The state-of-the-art named entity recognition (NER) systems are supervised machine (...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | "I'll provide a peer review of the submitted paper on weakly supervised cross-lingual named entity r(...TRUNCATED) | "# Peer Review: \"Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation (...TRUNCATED) | 8,443 | "Title: Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Repres(...TRUNCATED) | 107 | "This paper describes a model for cross-lingual named entity recognition (NER).\nThe authors employ (...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) |
107.pdf | {"abstractText":"The state-of-the-art named entity recognition (NER) systems are supervised machine (...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | "I'll provide a peer review of the submitted paper on weakly supervised cross-lingual named entity r(...TRUNCATED) | "# Peer Review: \"Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation (...TRUNCATED) | 8,443 | "Title: Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Repres(...TRUNCATED) | 107 | "This paper presents several weakly supervised methods for developing NERs. The\nmethods rely on som(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) |
108.pdf | {"abstractText":"In this paper, we propose a new model that is capable of recognizing overlapping en(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | "Let me analyze this paper thoroughly to provide a constructive peer review.\n\nThe paper proposes a(...TRUNCATED) | "# Peer Review: \"A Multigraph-based Model for Overlapping Entity Recognition\"\n\n## Summary\nThis (...TRUNCATED) | 9,157 | "Title: A Multigraph-based Model for Overlapping Entity Recognition\n\nAbstract: In this paper, we p(...TRUNCATED) | 108 | "The paper suggests an approach based on multigraphs (several edges may link two\nnodes) for detecti(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) |
108.pdf | {"abstractText":"In this paper, we propose a new model that is capable of recognizing overlapping en(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | "Let me analyze this paper thoroughly to provide a constructive peer review.\n\nThe paper proposes a(...TRUNCATED) | "# Peer Review: \"A Multigraph-based Model for Overlapping Entity Recognition\"\n\n## Summary\nThis (...TRUNCATED) | 9,157 | "Title: A Multigraph-based Model for Overlapping Entity Recognition\n\nAbstract: In this paper, we p(...TRUNCATED) | 108 | "- Strengths: the paper is well-written, except for a few places as described\nbelow. The problem th(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) |
117.pdf | {"abstractText":"Relation detection is a core component for many NLP applications including Knowledg(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | "I'll review this paper on \"Improved Neural Relation Detection for Knowledge Base Question Answerin(...TRUNCATED) | "# Peer Review: \"Improved Neural Relation Detection for Knowledge Base Question Answering\"\n\n## S(...TRUNCATED) | 9,801 | "Title: Improved Neural Relation Detection for Knowledge Base Question Answering\n\nAbstract: Relati(...TRUNCATED) | 117 | "- Strengths: The paper addresses a relevant topic: learning the mapping between\nnatural language a(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) |
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