Datasets › CISOL
CISOL (Construction Industry Steel Ordering Lists Dataset)
The Construction Industry Steel Ordering Lists (CISOL) dataset comprises table-centric, real-world documents from the construction industry, annotated to facilitate the testing and training of deep learning models for table detection (TD) and table structure recognition (TSR).
Access to the CISOL Leaderboard is provided via https://eval.ai/web/challenges/challenge-page/2257
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Object Detection | CISOL - Track A - TD-TSR | YOLO v8.1m mAP@0.5:0.95:0.05 67.22 | CISOL: An Open and Extensible Dataset for Table... | — | 1 | Compare |
| Object Detection | CISOL - Track B - TSR-only | YOLO v8.1m mAP@0.5:0.95:0.05 61.39 | CISOL: An Open and Extensible Dataset for Table... | — | 1 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| CISOL: An Open and Extensible Dataset for Table Structure Recognition in the Construction Industry | 0 | 2 | 26 Jan 2025 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Creative Commons Attribution 4.0 International
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- CISOL
- CISOL - Track A - TD-TSR
- CISOL - Track B - TSR-only
3 variant names, as the archive lists them.
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