Dataset Viewer
title
stringlengths 2
158
| abstract
stringlengths 0
2.78k
| review
stringlengths 62
28.2k
| source
stringclasses 4
values | review_src
stringclasses 1
value | criteria_count
dict | criticism
float64 0
1
| example
float64 0
1
| importance_and_relevance
float64 0
1
| materials_and_methods
float64 0
1
| praise
float64 0
1
| presentation_and_reporting
float64 0
1
| results_and_discussion
float64 0
1
| suggestion_and_solution
float64 0
1
| total_sentences
int64 1
237
| reward_value
float64 0
6
| reward_value_length_adjusted
float64 -790.27
3.73
| length_penalty
float64 0
792
| reference_reviews
sequencelengths 1
18
| full_text
stringlengths 5
184k
| thinking_trace
stringlengths 5
6.3k
| prompt
stringlengths 149
184k
| conversations
listlengths 2
2
| prompt_length
int64 31
82.1k
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Making Neural Programming Architectures Generalize via Recursion | "Empirically, neural networks that attempt to learn programs from data have exhibited poor generaliz(...TRUNCATED) | "This paper argues that being able to handle recursion is very important for neural programming arch(...TRUNCATED) | iclr2017 | OpenReview | {"criticism":1,"example":1,"importance_and_relevance":1,"materials_and_methods":5,"praise":1,"presen(...TRUNCATED) | 0.111111 | 0.111111 | 0.111111 | 0.555556 | 0.111111 | 0.222222 | 0 | 0 | 9 | 1.222222 | 0.969703 | 0.252519 | ["This paper argues that being able to handle recursion is very important for neural programming arc(...TRUNCATED) | "Title: MAKING NEURAL PROGRAMMING ARCHITECTURES GENERALIZE VIA RECURSION\n\nAbstract: Empirically, n(...TRUNCATED) | "I'm tasked with providing a peer review of the paper \"MAKING NEURAL PROGRAMMING ARCHITECTURES GENE(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) | 15,200 |
Making Neural Programming Architectures Generalize via Recursion | "Empirically, neural networks that attempt to learn programs from data have exhibited poor generaliz(...TRUNCATED) | "This is a very interesting and fairly easy to read paper. The authors present a small, yet nifty ap(...TRUNCATED) | iclr2017 | OpenReview | {"criticism":1,"example":0,"importance_and_relevance":2,"materials_and_methods":2,"praise":2,"presen(...TRUNCATED) | 0.083333 | 0 | 0.166667 | 0.166667 | 0.166667 | 0.25 | 0 | 0.083333 | 12 | 0.916667 | 0.900884 | 0.015782 | ["This paper argues that being able to handle recursion is very important for neural programming arc(...TRUNCATED) | "Title: MAKING NEURAL PROGRAMMING ARCHITECTURES GENERALIZE VIA RECURSION\n\nAbstract: Empirically, n(...TRUNCATED) | "I'm tasked with providing a peer review of the paper \"MAKING NEURAL PROGRAMMING ARCHITECTURES GENE(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) | 15,200 |
Making Neural Programming Architectures Generalize via Recursion | "Empirically, neural networks that attempt to learn programs from data have exhibited poor generaliz(...TRUNCATED) | "This paper improves significantly upon the original NPI work, showing that the model generalizes fa(...TRUNCATED) | iclr2017 | OpenReview | {"criticism":0,"example":0,"importance_and_relevance":1,"materials_and_methods":3,"praise":2,"presen(...TRUNCATED) | 0 | 0 | 0.333333 | 1 | 0.666667 | 0 | 0.333333 | 0.333333 | 3 | 2.666667 | 1.088424 | 1.578243 | ["This paper argues that being able to handle recursion is very important for neural programming arc(...TRUNCATED) | "Title: MAKING NEURAL PROGRAMMING ARCHITECTURES GENERALIZE VIA RECURSION\n\nAbstract: Empirically, n(...TRUNCATED) | "I'm tasked with providing a peer review of the paper \"MAKING NEURAL PROGRAMMING ARCHITECTURES GENE(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) | 15,200 |
End-to-end Optimized Image Compression | "We describe an image compression method, consisting of a nonlinear analysis transformation, a unifo(...TRUNCATED) | "Two things I*d like to see. 1) Specifics about the JPEG and JPEG2000 implementations used, and how (...TRUNCATED) | iclr2017 | OpenReview | {"criticism":3,"example":0,"importance_and_relevance":0,"materials_and_methods":5,"praise":1,"presen(...TRUNCATED) | 0.333333 | 0 | 0 | 0.555556 | 0.111111 | 0.111111 | 0.111111 | 0.111111 | 9 | 1.333333 | 1.080814 | 0.252519 | ["Two things I*d like to see. 1) Specifics about the JPEG and JPEG2000 implementations used, and how(...TRUNCATED) | "Title: END-TO-END OPTIMIZED IMAGE COMPRESSION\n\nAbstract: We describe an image compression method,(...TRUNCATED) | "I need to provide a peer review of this academic paper on image compression. Let me analyze the pap(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) | 9,599 |
End-to-end Optimized Image Compression | "We describe an image compression method, consisting of a nonlinear analysis transformation, a unifo(...TRUNCATED) | "This is the most convincing paper on image compression with deep neural networks that I have read s(...TRUNCATED) | iclr2017 | OpenReview | {"criticism":1,"example":0,"importance_and_relevance":1,"materials_and_methods":5,"praise":2,"presen(...TRUNCATED) | 0.142857 | 0 | 0.142857 | 0.714286 | 0.285714 | 0.428571 | 0.142857 | 0.285714 | 7 | 2.142857 | 1.57469 | 0.568167 | ["Two things I*d like to see. 1) Specifics about the JPEG and JPEG2000 implementations used, and how(...TRUNCATED) | "Title: END-TO-END OPTIMIZED IMAGE COMPRESSION\n\nAbstract: We describe an image compression method,(...TRUNCATED) | "I need to provide a peer review of this academic paper on image compression. Let me analyze the pap(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) | 9,599 |
End-to-end Optimized Image Compression | "We describe an image compression method, consisting of a nonlinear analysis transformation, a unifo(...TRUNCATED) | "This paper extends an approach to rate-distortion optimization to deep encoders and decoders, and f(...TRUNCATED) | iclr2017 | OpenReview | {"criticism":3,"example":0,"importance_and_relevance":1,"materials_and_methods":8,"praise":2,"presen(...TRUNCATED) | 0.230769 | 0 | 0.076923 | 0.615385 | 0.153846 | 0.153846 | 0.153846 | 0.153846 | 13 | 1.538462 | 1.538462 | 0 | ["Two things I*d like to see. 1) Specifics about the JPEG and JPEG2000 implementations used, and how(...TRUNCATED) | "Title: END-TO-END OPTIMIZED IMAGE COMPRESSION\n\nAbstract: We describe an image compression method,(...TRUNCATED) | "I need to provide a peer review of this academic paper on image compression. Let me analyze the pap(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) | 9,599 |
End-to-end Optimized Image Compression | "We describe an image compression method, consisting of a nonlinear analysis transformation, a unifo(...TRUNCATED) | "This is a nice paper that demonstrates an end-to-end trained image compression and decompression sy(...TRUNCATED) | iclr2017 | OpenReview | {"criticism":0,"example":0,"importance_and_relevance":1,"materials_and_methods":5,"praise":2,"presen(...TRUNCATED) | 0 | 0 | 0.166667 | 0.833333 | 0.333333 | 0 | 0.5 | 0.166667 | 6 | 2 | 1.226661 | 0.773339 | ["Two things I*d like to see. 1) Specifics about the JPEG and JPEG2000 implementations used, and how(...TRUNCATED) | "Title: END-TO-END OPTIMIZED IMAGE COMPRESSION\n\nAbstract: We describe an image compression method,(...TRUNCATED) | "I need to provide a peer review of this academic paper on image compression. Let me analyze the pap(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) | 9,599 |
End-to-end Optimized Image Compression | "We describe an image compression method, consisting of a nonlinear analysis transformation, a unifo(...TRUNCATED) | "This nicely written paper presents an end-to-end learning method for image compression. By optimizi(...TRUNCATED) | iclr2017 | OpenReview | {"criticism":0,"example":0,"importance_and_relevance":1,"materials_and_methods":3,"praise":3,"presen(...TRUNCATED) | 0 | 0 | 0.333333 | 1 | 1 | 0.333333 | 0.333333 | 0 | 3 | 3 | 1.421757 | 1.578243 | ["Two things I*d like to see. 1) Specifics about the JPEG and JPEG2000 implementations used, and how(...TRUNCATED) | "Title: END-TO-END OPTIMIZED IMAGE COMPRESSION\n\nAbstract: We describe an image compression method,(...TRUNCATED) | "I need to provide a peer review of this academic paper on image compression. Let me analyze the pap(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) | 9,599 |
Optimization as a Model for Few-Shot Learning | "Though deep neural networks have shown great success in the large data domain, they generally perfo(...TRUNCATED) | "This work presents an LSTM based meta-learning framework to learn the optimization algorithm of a a(...TRUNCATED) | iclr2017 | OpenReview | {"criticism":1,"example":0,"importance_and_relevance":2,"materials_and_methods":7,"praise":7,"presen(...TRUNCATED) | 0.052632 | 0 | 0.105263 | 0.368421 | 0.368421 | 0.052632 | 0.052632 | 0.105263 | 19 | 1.105263 | 0.537096 | 0.568167 | ["This work presents an LSTM based meta-learning framework to learn the optimization algorithm of a (...TRUNCATED) | "Title: OPTIMIZATION AS A MODEL FOR FEW-SHOT LEARNING\n\nAbstract: Though deep neural networks have (...TRUNCATED) | "Let me review this scientific paper titled \"OPTIMIZATION AS A MODEL FOR FEW-SHOT LEARNING\" to pro(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) | 7,064 |
Optimization as a Model for Few-Shot Learning | "Though deep neural networks have shown great success in the large data domain, they generally perfo(...TRUNCATED) | "This paper describes a new approach to meta learning by interpreting the SGD update rule as gated r(...TRUNCATED) | iclr2017 | OpenReview | {"criticism":1,"example":1,"importance_and_relevance":3,"materials_and_methods":2,"praise":3,"presen(...TRUNCATED) | 0.2 | 0.2 | 0.6 | 0.4 | 0.6 | 0.4 | 0.2 | 0.2 | 5 | 2.8 | 1.789924 | 1.010076 | ["This work presents an LSTM based meta-learning framework to learn the optimization algorithm of a (...TRUNCATED) | "Title: OPTIMIZATION AS A MODEL FOR FEW-SHOT LEARNING\n\nAbstract: Though deep neural networks have (...TRUNCATED) | "Let me review this scientific paper titled \"OPTIMIZATION AS A MODEL FOR FEW-SHOT LEARNING\" to pro(...TRUNCATED) | "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED) | [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED) | 7,064 |
End of preview. Expand
in Data Studio
README.md exists but content is empty.
- Downloads last month
- 107