SynthTabNet
10,152 training samples. One source, one train.parquet.
Each row embeds original image bytes, width, height, authoritative otsl, derived html, logical rows, cols, sample_id, document_id, image/OTSL SHA256, structure_only, and model_budget_eligible.
No resizing, re-encoding or model prediction is used. Dimensions are read from image bytes; HTML is derived from OTSL. Original annotation review does not imply every sample was manually checked.
PaddleOCR-VL-1.6 training-pool evaluation
The single root-level paddleocrvl1.6_eval.json contains one JSON entry per Parquet sample, in source/Parquet order. 10,152/10,152 have TEDS-S scores from the original base model. Match using sample_id and gt_sha256 (otsl_sha256 in Parquet). Unscored metrics are null; textless GT has teds=null. Scores use the project canonical scorer and existing selected screening subset, not an official held-out benchmark.