--- pretty_name: ViDoRe v3 Retrieval Predictions language: - en - fr - de - it - pt - es tags: - mteb - vidore - retrieval - reranking --- # ViDoRe v3 Retrieval Predictions Precomputed first-stage retrieval predictions for ViDoRe v3 tasks, for reuse as reranking candidates. This repository stores prediction files; corpus documents, queries and relevance judgments remain in the source task datasets. ## File layout ```text __//_predictions.json ``` Model directories follow MTEB's `model_name_as_path()` convention: replace `/` with `__` and spaces with `_`, preserving case. For example, `Qwen/Qwen3-VL-Embedding-2B` becomes `Qwen__Qwen3-VL-Embedding-2B`. The original model ID and revision remain unchanged inside each JSON file. Representation directories describe the actual document inputs used by that retrieval run: - `text`: document text only. - `image`: document images only. - `text-image`: document text and images together. Each file retains MTEB's original JSON structure and bytes: `mteb_model_meta` records the producer model and revision, and language subset / evaluation split / query ID / document ID mappings contain retrieval scores. Task versions remain in filenames. Languages actually evaluated are those present in each file. Use a pinned Hugging Face dataset commit when referencing a prediction file for evaluation. Available candidate depth must cover the requested reranking depth. ## Prepared predictions Each model has prediction files for all eight domains: ComputerScience, Energy, FinanceEn, FinanceFr, Hr, Industrial, Pharmaceuticals and Physics. | Retriever | Document representation | Directory | | --- | --- | --- | | `mteb/baseline-bm25s` | Text | `mteb__baseline-bm25s/text/` | | `BAAI/bge-m3` | Text | `BAAI__bge-m3/text/` | | `Qwen/Qwen3-VL-Embedding-2B` | Text and images | `Qwen__Qwen3-VL-Embedding-2B/text-image/` | The representation describes the first-stage retrieval run, independently of the document inputs used by a subsequent reranker.