Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Sub-tasks:
multi-label-image-classification
Languages:
English
Size:
1K - 10K
License:
| 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<n<10K | |
| source_datasets: | |
| - original | |
| tags: [] | |
| task_categories: | |
| - image-classification | |
| task_ids: | |
| - multi-label-image-classification | |
| # Dataset Card for ACLFig Dataset | |
| <!-- ## Table of Contents | |
| - [Table of Contents](#table-of-contents) | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) --> | |
| ## 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. | |