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Datasets:
nhop
/
scientific-quality-score-prediction

Tasks:
Text Classification
Languages:
English
Tags:
SDQP
scholarly
citation_count_prediction
review_score_prediction
License:
Dataset card Files Community
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nhop commited on
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  1. README.md +138 -2
  2. data/train-00000-of-00001.parquet +3 -0
README.md CHANGED
@@ -11,9 +11,145 @@ tags:
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  - review_score_prediction
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  configs:
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  - config_name: acl_ocl
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- data_files:
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  - split: train
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- path: "acl_ocl/*.json"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  Datasets related to the task of Scholarly Document Quality Prediction (SDQP).
 
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  - review_score_prediction
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  configs:
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  - config_name: acl_ocl
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+ data_files:
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  - split: train
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+ path: acl_ocl/*.json
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ dataset_info:
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+ features:
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+ - name: paperhash
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+ dtype: string
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+ - name: s2_corpus_id
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+ dtype: string
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+ - name: arxiv_id
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+ dtype: string
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+ - name: title
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+ dtype: string
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+ - name: abstract
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+ dtype: string
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+ - name: authors
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+ sequence:
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+ - name: name
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+ dtype: string
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+ - name: affiliation
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+ struct:
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+ - name: laboratory
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+ dtype: string
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+ - name: institution
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+ dtype: string
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+ - name: location
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+ dtype: string
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+ - name: summary
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+ dtype: string
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+ - name: field_of_study
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+ sequence: string
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+ - name: venue
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+ dtype: string
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+ - name: publication_date
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+ dtype: string
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+ - name: n_references
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+ dtype: int32
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+ - name: n_citations
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+ dtype: int32
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+ - name: n_influential_citations
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+ dtype: int32
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+ - name: introduction
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+ dtype: string
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+ - name: background
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+ dtype: string
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+ - name: methodology
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+ dtype: string
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+ - name: experiments_results
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+ dtype: string
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+ - name: conclusion
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+ dtype: string
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+ - name: full_text
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+ dtype: string
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+ - name: decision
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+ dtype: bool
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+ - name: decision_text
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+ dtype: string
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+ - name: reviews
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+ sequence:
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+ - name: review_id
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+ dtype: string
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+ - name: review
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+ struct:
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+ - name: title
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+ dtype: string
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+ - name: paper_summary
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+ dtype: string
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+ - name: main_review
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+ dtype: string
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+ - name: strength_weakness
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+ dtype: string
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+ - name: questions
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+ dtype: string
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+ - name: limitations
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+ dtype: string
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+ - name: review_summary
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+ dtype: string
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+ - name: score
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+ dtype: float32
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+ - name: confidence
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+ dtype: float32
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+ - name: novelty
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+ dtype: float32
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+ - name: correctness
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+ dtype: float32
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+ - name: clarity
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+ dtype: float32
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+ - name: impact
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+ dtype: float32
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+ - name: reproducibility
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+ dtype: float32
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+ - name: ethics
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+ dtype: string
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+ - name: comments
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+ sequence:
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+ - name: title
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+ dtype: string
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+ - name: comment
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+ dtype: string
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+ - name: references
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+ sequence:
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+ - name: paperhash
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+ dtype: string
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+ - name: title
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+ dtype: string
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+ - name: abstracts
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+ dtype: string
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+ - name: authors
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+ sequence:
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+ - name: name
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+ dtype: string
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+ - name: affiliation
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+ struct:
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+ - name: laboratory
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+ dtype: string
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+ - name: institution
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+ dtype: string
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+ - name: location
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+ dtype: string
137
+ - name: arxiv_id
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+ dtype: string
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+ - name: s2_corpus_id
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+ dtype: string
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+ - name: intents
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+ sequence: string
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+ - name: isInfluential
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+ dtype: bool
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+ - name: hypothesis
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 5134
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+ num_examples: 2
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+ download_size: 44577
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+ dataset_size: 5134
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  ---
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  Datasets related to the task of Scholarly Document Quality Prediction (SDQP).
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