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- ---
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- dataset_info:
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- features:
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- - name: title
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- dtype: string
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- - name: paper_category
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- dtype: string
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- - name: error_category
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- dtype: string
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- - name: error_location
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- dtype: string
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- - name: error_severity
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- dtype: string
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- - name: error_annotation
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 35801
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- num_examples: 91
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- download_size: 22781
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- dataset_size: 35801
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- configs:
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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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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ dataset_info:
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+ features:
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+ - name: title
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+ dtype: string
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+ - name: paper_category
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+ dtype: string
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+ - name: error_category
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+ dtype: string
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+ - name: error_location
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+ dtype: string
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+ - name: error_severity
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+ dtype: string
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+ - name: error_annotation
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+ dtype: string
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+ splits:
17
+ - name: train
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+ num_bytes: 35801
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+ num_examples: 91
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+ download_size: 22781
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+ dataset_size: 35801
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+ configs:
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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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+ license: cc-by-4.0
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+ language:
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+ - en
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # SPOT-MetaData
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+
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+ > Metadata & Annotations for **Scientific Paper ErrOr DeTection** (SPOT)
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+ > *SPOT contains 83 papers and 91 human-validated errors to test academic verification capabilities.*
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+
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+ ## 📖 Overview
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+
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+ SPOT-MetaData contains all of the **annotations** for the SPOT benchmark—**no** paper PDFs or parsed content are included here. This lightweight repo is intended for anyone who needs to work with the ground-truth error labels, categories, locations, and severity ratings.
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+
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+ > **Benchmark at a glance**
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+ > - **83** published manuscripts
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+ > - **91** confirmed errors (errata or retractions)
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+ > - **10** scientific domains (Math, Physics, Biology, …)
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+ > - **6** error types (Equation/Proof, Fig-duplication, Data inconsistency, …)
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+ > - Average paper length: ~12 000 tokens & 18 figures
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+
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+ ## 📜 License
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+ This repository (metadata & annotations) is released under the CC-BY-4.0 license.