| | --- |
| | 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. |
