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Lilly data (the bytes git does not hold)
Code, answer keys, credits and results stay in ssaaffaakk/Lilly. This dataset is the photographs and the cleaned parallel sentences those files name.
| File | What it is |
|---|---|
translation-clean.zip |
train.tsv (313,612 pairs), valid.tsv, test.tsv, ntrex-holdout.tsv — WikiMatrix / SETIMES / TED2020 / Tatoeba after the project's filters. The base model already saw this material (docs/WHITE-PAPER.md §3.1). |
ocr-the-40.zip |
The 40 Wikimedia Commons photographs the product OCR number (67.0%) was measured on, plus commons40-sha1.json. |
ocr-test-v2.zip |
test-v2: 280 Commons photographs (132 with text), credits, the two blind passes, the answer key. |
ocr-harvest.zip |
Harvested Commons sign photographs and CREDITS.tsv. |
ocr-crops.zip |
Crops cut from the harvest, with labels-human.tsv. |
Photograph licences are per-file in each archive's CREDITS.tsv (Wikimedia Commons).
The parallel sentences come from OPUS (SETIMES, WikiMatrix, TED2020, Tatoeba) and
NTREX-128; credit those sources, not this page.
Not here: FLORES-200 (fetch from Meta), FLEURS (fetch from Google), the 20,240
Mapillary frames (afaksrmeli/lilly-mapillary-photos on Kaggle — not a train set).
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