Banana ViDoRe v3 Fullpipe Nano Banana Pro full pipeline synthetic training data for ViDoRe v3 finance and industrial domains. This repository contains 4670 training records and 40190 unique referenced images across domain separated ColFlor/ColQwen training splits. Images are included in the repository and paths in each JSONL are relative to that domain directory. Generated at: 2026 06 29T09:39:01.644860+00:00 Layout Splits domain records positive pages hard negative pages unique images : : : : finance 2853 12411 12409 24820 industrial 1817 7685 7685 15370 Usage When loading from the Hub with the Banana training scripts, use the domain JSONL path: Schema Each JSONL row contains: query : synthetic training query positive pages : relative image paths under the same domain directory hard negative pages : relative hard negative image paths metadata.domain : finance or industrial metadata.source dataset : source ViDoRe v3 dataset name metadata.negative method : banana fullpipe The data was generated for training/adaptation only. Use held out ViDoRe test splits for evaluation.
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