Datasets › I2L-140K
I2L-140K
Introduced by Singh, Sumeet S.. “Teaching Machines to Code: Neural Markup Generation with Visual Attention.” ArXiv abs/1802.05415 (2018): n. pag.
A prebuilt dataset for OpenAI's task for image-2-latex system. Includes total of ~140k formulas and images splitted into train, validation and test sets. Superset of im2latex-100K dataset.
Benchmarks archive 2025-07-28
All 1 leaderboard 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 | ||||
|---|---|---|---|---|---|---|
| Optical Character Recognition (OCR) | I2L-140K | I2L-NOPOOL BLEU 89.09% | Teaching Machines to Code: Neural Markup Generation with... | untrix/im2latex | 2 | 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 | |||
|---|---|---|---|---|
| Teaching Machines to Code: Neural Markup Generation with Visual Attention | 1 | 2 | 15 Feb 2018 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- I2L-140K
1 variant name, as the archive lists them.
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