--- annotations_creators: - expert-generated language: - en language_creators: - machine-generated - found license: - cc-by-4.0 multilinguality: - monolingual pretty_name: ACL-Fig size_categories: - 1K ## Dataset Description - **Paper:** - **Leaderboard:** ### Dataset Summary 1758 total labelled images The scientific figures dataset contains 1758 scientific figures extracted from 890 research papers(ACL). The scientific figures are in png format. The dataset has been classified into 19 categories. These are - Algorithms - Architecture/Pipeline diagrams - Bar charts - Box Plots - Confusion Matrix - Graph - Line Chart - Maps - Natural Images - Neural Networks - NLP rules/grammar - Pie chart - Scatter Plot - Screenshots - Tables - Trees - Pareto chart - Venn Diagram - Word Cloud The scientific figures are in the `png` directory. The `metadata` directory contains metadata extracted from the pdf along with scientific figures in json format. Finally, the `scientific_figures.csv` file contains following columns/fields: 1. `sci_fig` : Scientific figure name 2. `caption`: Caption text 3. `inline_reference`: Scientific figure contexts mentioned in the research paper 4. `metadata`: metadata json filename 5. `label`: One of the 19 categories as described above. 6. `acl_paper_id`: Unique identifier assigned to each pdf by ACL ### Supported Tasks and Leaderboards Multi-label classification ## Dataset Creation The dataset was created using papers in ACL Anthology. ### Annotations #### Annotation process ~2k images manually labelled ### Citation Information TODO ### Contributions Thanks to [@zebaKarishma](https://github.com/zebaKarishma), [@shauryr](https://github.com/shauryr) and [@KavyaPuranik](https://github.com/KavyaPuranik) for adding this dataset.