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--- |
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license: mit |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: image |
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dtype: image |
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- name: ground_truth |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 5038039728.815 |
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num_examples: 76263 |
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- name: validation |
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num_bytes: 833810548.666 |
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num_examples: 8662 |
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download_size: 2276849227 |
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dataset_size: 5871850277.481 |
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language: |
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- en |
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- ko |
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tags: |
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- block diagram |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Block Diagram Dataset |
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This dataset is a combination of four block diagram datasets. The first dataset is the BD-EnKo dataset, which was introduced in the paper **"Unveiling the Power of Integration: Block Diagram Summarization through Local-Global Fusion"** accepted at ACL 2024. The second dataset is [CBD](https://github.com/shreyanshu09/Block-Diagram-Datasets), the third is [FC_A](https://github.com/shreyanshu09/Block-Diagram-Datasets), and the fourth is [FCB](https://github.com/shreyanshu09/Block-Diagram-Datasets). |
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Only BD-EnKo dataset is available at the [BD-EnKo](https://github.com/shreyanshu09/BD-EnKo) github repository. |
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## Dataset description |
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This dataset contains different types of block diagram images from different sources with their high-quality summaries. |
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| Types | Train | | Validation | | |
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|-----------------|-------|---------|------------|---------| |
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| | English | Korean | English | Korean | |
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|-----------------|---------|--------|------------|---------| |
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| Flowchart | 7,875 | 7,678 | 875 | 854 | |
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| GraphLR | 5,462 | 2,861 | 607 | 318 | |
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| GraphTD | 3,500 | 2,402 | 389 | 267 | |
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| Journey | 8,494 | 8,858 | 942 | 985 | |
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| Sequence | 2,708 | 3,539 | 301 | 394 | |
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| Simple Graph | 3,825 | 1,194 | 425 | 133 | |
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| State Diagram | 6,444 | 6,265 | 717 | 693 | |
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| C4 | 3,549 | 0 | 395 | 0 | |
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| Real World | 76 | 304 | 15 | 50 | |
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| CBD | 396 | 0 | 106 | 0 | |
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| FC_A | 357 | 0 | 0 | 0 | |
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| FC_B | 476 | 0 | 196 | 0 | |
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|-----------------|---------|--------|------------|---------| |
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| **Total** | **43,162** | **33,101** | **4,968** | **3,694** | |
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## Contact |
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If you have any questions about this work, please contact **[Shreyanshu Bhushan](https://github.com/shreyanshu09)** using the following email addresses: **shreyanshubhushan@gmail.com**. |
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