ethanbradley/synfintabs

261 downloads in 30 days9 likesLast modified 2 Jan 2026View on Hugging Face

The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 88dec4f
Licence files: No licence file at the top level of the repositoryEvidence: file list at 88dec4f
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

If you use this dataset, please cite both the article using the citation below and the dataset itself.

```bib
@inproceedings{bradley2026synfintabs,
    title        = {Syn{F}in{T}abs: A Dataset of Synthetic Financial Tables for Information and Table Extraction},
    author       = {Bradley, Ethan and Roman, Muhammad and Rafferty, Karen and Devereux, Barry},
    year         = 2026,
    month        = jan,
    booktitle    = {Document Analysis and Recognition -- ICDAR 2025 Workshops},
    publisher    = {Springer Nature Switzerland},
    address      = {Cham},
    pages        = {85--100},
    doi          = {10.1007/978-3-032-09371-4_6},
    isbn         = {978-3-032-09371-4},
    editor       = {Jin, Lianwen and Zanibbi, Richard and Eglin, Veronique},
    abstract     = {Table extraction from document images is a challenging AI problem, and labelled data for many content domains is difficult to come by. Existing table extraction datasets often focus on scientific tables due to the vast amount of academic articles that are readily available, along with their source code. However, there are significant layout and typographical differences between tables found across scientific, financial, and other domains. Current datasets often lack the words, and their positions, contained within the tables, instead relying on unreliable OCR to extract these features for training modern machine learning models on natural language processing tasks. Therefore, there is a need for a more gene

All datasets marked Permissive or share-alike | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "ethanbradley/synfintabs" })
signal: "permissive"
stated_licence: "mit"
sources: 0