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DETAIL_README.md
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# File structure
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Here is an example of file structure of DocGenome dataset for discipline `math.GM`.
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```bash
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math.GM
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βββ 0906.1099
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β βββ layout_annotation.json
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β βββ order_annotation.json
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β βββ page_xxxx.jpg
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β βββ quality_report.json
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β βββ reading_annotation.json
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βββ 2103.02443
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βββ layout_annotation.json
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βββ order_annotation.json
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βββ page_xxxx.jpg
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βββ quality_report.json
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βββ reading_annotation.json
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```
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Each paper folder, for example, `math.GM/2103.02443` contains five parts:
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- 1) `page_xxxx.jpg`, each image represents each page of the corresponding paper, the page index is contained in the filename. Note that this might be different from the original paper.
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- 2) `layout_annotation.json`, this json file contains the layout annotation bounding box of each category region using the COCO format.
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- 3) `reading_annotation.json`, this json file contains LaTex source code for each block (except for the Figure category). Note that the latex source code may contain macros.
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- 4) `order_annotation.json`, this json file contains the relationship between different blocks, where the key of `orders` consists of triplets. Each triplet represents the relation type and specifies the source block and the destination block.
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- 5) `quality_report.json`, this json file contains the quality computing result for each page and the whole paper for further use.
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# Layout annotation task
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## Category definition
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| **Index** | **Category** | **Notes** |
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|----------------|-------------------|------------------------------------------|
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| 0 | Algorithm | |
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| 1 | Caption | Titles of Images, Tables, and Algorithms |
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| 2 | Equation | |
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| 3 | Figure | |
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| 4 | Footnote | |
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| 5 | List | |
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| 7 | Table | |
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| 8 | Text | |
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| 9 | Text-EQ | Text block with inline equations |
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| 10 | Title | Section titles |
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| 12 | PaperTitle | |
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| 13 | Code | |
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| 14 | Abstract | |
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## Known Issues
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1. The IoU of Bounding boxes are too large, this happens when the paper template is too complex.
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2. The category of the bounding boxes are not correct. This happens when user-defined macros are used. For example, some authors may use `\newcommand{\beq}{\begin{equation}}`, `\newcommand{\eeq}{\end{equation}}`, in this case, the equation may be detected as `Text` class.
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3. Bounding box is missing, this happens due to rare packages are used. Some rare packages may not identified by our rule-based methods.
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4. Bounding boxes are correct, but overlaps with other adjacent bounding boxe slightly, this happens due to layout adjustments, for example `vspace`, `input` commands.
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# Order annotation category
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## Category Definition
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| **Category** | **Description** | **Example** |
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|----------------|-------------------|------------------------------------------|
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| identical | two blocks corresponding to the same latex code chunk | paragraphs that cross columns or pages |
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| peer | two blocks are both belongs to Title | \section{introduction}, \section{method} |
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| sub | one block is a child of another block logically | \section{introduction} and the first paragraph in Introduction section |
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| adj | two adjacent Text blocks | Paragraph1 and Paragraph2 |
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| explicit-cite | one block cites another block with `ref` | As shown in \ref{Fig: 5}. |
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| implicit-cite | The caption block and the corresponding float environment | \begin{table}\\caption\{A}\\begin{tabular}B\end{tabular}\end{table}, then A implicit-cite B |
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## Order annotation representation
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Each `order_annotation.json` contains two keys:
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- 1) `annotations`: contains the block information for each block, the `block_id` of each block is used to represent the relationship.
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- 2) `orders`: contains a list of triples, the meaning of each triple is:
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- 1. `type`, represents the category of the current relationship, see table above for details.
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- 2. `from`, represents the `block_id` of the starting block of the relationship
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- 3. `to`, represents the `block_id` of the ending block of the relationship
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## Known issues
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1. `reading_annotation.json` file of some papers may not contain the field `annotations` for unknown reason.
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2. `reading_annotation.json` doesn't contain the `implicit-cite` relationship, the `implicit-cite` relationship is used in test-dataset for efficiency consideration.
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3. `explicit-cite` only supports `Equation`, the support for `Table`, `Figrue` is developed after the training dataset is complete.
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# Quality report
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This file contains the rule-based quality check for further use. Explanation is as follows:
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- 1) `num_pages`: the number of pages of the corresponding paper.
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- 2) `num_columns`: 1 (single column) or 2 (two column), depends on the last page of the paper
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- 3) `category_quality`: we record the number rendered latex code chunks for each category `reading_count`, and the number of detected bounding boxes `geometry_count`, then `missing_rate` is computed as `(reading_count - geometry_count)/reading_count`. Finally, the `Total` category is the summary of all other categories.
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- 4) `page_quality` containing IoU information of each page and the whole paper:
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- 1. `page`: page index
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- 2. `num_blocks`: how many bounding boxes in this page
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- 3. `area`: sum of area of all blocks, $\sum_i \text{area}(\text{bbox}_i)$
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- 4. `overlap`: sum of intersection area of all blocks, $\sum_i\sum_{j>i} \text{area}(\text{bbox}_i\cap bbox_j)$
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- 5. `ratio` the ratio between `overlap` and `area`. Note that this ratio may be very large if there is template issue.
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