|
|
| --- |
| 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 |
| <model-organisation>__<model-name>/<document-representation>/<task-name>_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. |
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| Use a pinned Hugging Face dataset commit when referencing a prediction file for evaluation. Available candidate depth must cover the requested reranking depth. |
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| ## Prepared predictions |
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| 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/` | |
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| The representation describes the first-stage retrieval run, independently of the document inputs used by a subsequent reranker. |
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|
