Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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Dataset Card for peer_read

Dataset Summary

PearRead is a dataset of scientific peer reviews available to help researchers study this important artifact. The dataset consists of over 14K paper drafts and the corresponding accept/reject decisions in top-tier venues including ACL, NIPS and ICLR, as well as over 10K textual peer reviews written by experts for a subset of the papers.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

en-English

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

parsed_pdfs

name: string Filename in the dataset
metadata: dict Paper metadata
- source: string Paper source
- authors: list<string> List of paper authors
- title: string Paper title
- sections: list<dict> List of section heading and corresponding description
  - heading: string Section heading
  - text: string Section description
- references: string List of references
  - title: string Title of reference paper
  - author: list<string> List of reference paper authors
  - venue: string Reference venue
  - citeRegEx: string Reference citeRegEx
  - shortCiteRegEx: string Reference shortCiteRegEx
  - year: int Reference publish year
- referenceMentions: list<string> List of reference mentions
  - referenceID: int Reference mention ID
  - context: string Reference mention context
  - startOffset: int Reference startOffset
  - endOffset: int Reference endOffset
- year: int Paper publish year
- abstractText: string Paper abstract
- creator: string Paper creator

reviews

id: int Review ID
conference: string Conference name
comments: string Review comments
subjects: string Review subjects
version: string Review version
date_of_submission: string Submission date
title: string Paper title
authors: list<string> List of paper authors
accepted: bool Paper accepted flag
abstract: string Paper abstract
histories: list<string> Paper details with link
reviews: dict Paper reviews
- date: string Date of review
- title: string Paper title
- other_keys: string Reviewer other details
- originality: string Originality score
- comments: string Reviewer comments
- is_meta_review: bool Review type flag
- recommendation: string Reviewer recommendation
- replicability: string Replicability score
- presentation_format: string Presentation type
- clarity: string Clarity score
- meaningful_comparison: string Meaningful comparison score
- substance: string Substance score
- reviewer_confidence: string Reviewer confidence score
- soundness_correctness: string Soundness correctness score
- appropriateness: string Appropriateness score
- impact: string Impact score

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

Dongyeop Kang, Waleed Ammar, Bhavana Dalvi Mishra, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard Hovy, Roy Schwartz

Licensing Information

[More Information Needed]

Citation Information

@inproceedings{kang18naacl, title = {A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications}, author = {Dongyeop Kang and Waleed Ammar and Bhavana Dalvi and Madeleine van Zuylen and Sebastian Kohlmeier and Eduard Hovy and Roy Schwartz}, booktitle = {Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL)}, address = {New Orleans, USA}, month = {June}, url = {https://arxiv.org/abs/1804.09635}, year = {2018} }