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@@ -48,4 +48,75 @@ configs:
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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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  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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+
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+ ---
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+
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+ # SPOT
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+
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+ > Preprocessed Contents of **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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+ > *This repo contains preprocessed contents of 62 manuscripts with share-permissive licenses.*
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+
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+ ## 📖 Overview
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+
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+ This repository holds the **full paper files** (parsed Markdown, and base64 encodings of extracted figures) for the subset of SPOT manuscripts that are openly licensed. Combined with the annotations in [SPOT-MetaData](https://github.com/<org>/SPOT-MetaData), you can run end-to-end evaluations of LLMs on multi-modal academic error detection.
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+
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+ > **Benchmark at a glance**
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+ >
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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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+ > **Included**
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+ > - **62** open-access papers (CC-BY or equivalent)
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+ > - High-fidelity **Markdown** conversions of each PDF
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+ > - **base64 encoding** of every figure, table, and equation
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+ > - All in **openai api** format.
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+
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+ > **Excluded**
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+ > - Paywalled or proprietary manuscripts (cannot be redistributed)
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+
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+
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+ ## 📋 Column Descriptions
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+
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+ Each row in `annotations/errors.csv` contains the following fields:
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+
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+ * **`doi/arxiv_id`**:
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+ The paper’s DOI (journal) or arXiv identifier.
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+ * **`title`**:
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+ Full title of the manuscript.
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+ * **`paper_category`**:
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+ Scientific domain of the paper, one of:
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+ Mathematics, Physics, Biology, Chemistry, Materials Science, Medicine, Environmental Science, Engineering, Computer Science, Multidisciplinary.
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+ * **`error_category`**:
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+ Type of error, one of:
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+
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+ * `Equation/Proof`
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+ * `Figure duplication`
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+ * `Data inconsistency`
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+ * `Experiment setup`
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+ * `Reagent identity`
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+ * `Statistical reporting`
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+ * **`error_location`**:
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+ Where the error appears (e.g., Figure 2, Equation (5), Section 3.1, Table 4).
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+ * **`error_severity`**:
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+ Indicates whether the issue led to an `Erratum` correction or a `Retraction`.
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+ * **`error_annotation`**:
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+ Written summary describing the error.
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+ * **`paper_content`**:
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+ Processed content of the full paper (text in markdown, images in base64 encodings).
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+ * **`error_local_content`**:
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+ Extracted snippet around the error—paragraph, caption, or equation block used in experiments in Appendix B.1.
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+
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+ ## 📜 License & Copyright
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+ > SPOT code: CC-BY-4.0
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+ > Individual papers & Processed Contents: distributed under their original licenses.