| --- |
| dataset_info: |
| features: |
| - name: title |
| dtype: string |
| - name: paper_category |
| dtype: string |
| - name: error_category |
| dtype: string |
| - name: error_location |
| dtype: string |
| - name: error_severity |
| dtype: string |
| - name: error_annotation |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 35801 |
| num_examples: 91 |
| download_size: 22781 |
| dataset_size: 35801 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| language: |
| - en |
| size_categories: |
| - n<1K |
| --- |
| |
| # SPOT-MetaData |
|
|
| > Metadata & Annotations for **Scientific Paper ErrOr DeTection** (SPOT) |
| > *SPOT contains 83 papers and 91 human-validated errors to test academic verification capabilities.* |
|
|
| ## 📖 Overview |
|
|
| 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. |
|
|
| Parse contents are available at: [link](https://huggingface.co/datasets/amphora/SPOT). |
| For codes see: [link](https://github.com/guijinSON/SPOT). |
|
|
| > **Benchmark at a glance** |
| > - **83** published manuscripts |
| > - **91** confirmed errors (errata or retractions) |
| > - **10** scientific domains (Math, Physics, Biology, …) |
| > - **6** error types (Equation/Proof, Fig-duplication, Data inconsistency, …) |
| > - Average paper length: ~12 000 tokens & 18 figures |
|
|
| ## 📜 License |
| This repository (metadata & annotations) is released under the CC-BY-4.0 license. |
