| --- |
| pretty_name: VQA train clean (utility copy) |
| license: other |
| language: [en, fr, de, es, it] |
| task_categories: [visual-document-retrieval] |
| size_categories: [100K<n<1M] |
| tags: [utility, deduplicated, decontaminated] |
| configs: |
| - config_name: ArxivQA |
| data_files: |
| - split: train |
| path: ArxivQA/*.parquet |
| - config_name: ChartQA |
| data_files: |
| - split: train |
| path: ChartQA/*.parquet |
| - config_name: DocVQA |
| data_files: |
| - split: train |
| path: DocVQA/*.parquet |
| - config_name: InfoVQA |
| data_files: |
| - split: train |
| path: InfoVQA/*.parquet |
| - config_name: MLPapers |
| data_files: |
| - split: train |
| path: MLPapers/*.parquet |
| - config_name: Manuals |
| data_files: |
| - split: train |
| path: Manuals/*.parquet |
| - config_name: PlotQA |
| data_files: |
| - split: train |
| path: PlotQA/*.parquet |
| - config_name: SlideVQA |
| data_files: |
| - split: train |
| path: SlideVQA/*.parquet |
| - config_name: TatDQA |
| data_files: |
| - split: train |
| path: TatDQA/*.parquet |
| - config_name: Textbooks |
| data_files: |
| - split: train |
| path: Textbooks/*.parquet |
| - config_name: VDR-de |
| data_files: |
| - split: train |
| path: VDR-de/*.parquet |
| - config_name: VDR-en |
| data_files: |
| - split: train |
| path: VDR-en/*.parquet |
| - config_name: VDR-es |
| data_files: |
| - split: train |
| path: VDR-es/*.parquet |
| - config_name: VDR-fr |
| data_files: |
| - split: train |
| path: VDR-fr/*.parquet |
| - config_name: VDR-it |
| data_files: |
| - split: train |
| path: VDR-it/*.parquet |
| - config_name: WebPDF |
| data_files: |
| - split: train |
| path: WebPDF/*.parquet |
| --- |
| |
| # vqa_train_clean |
|
|
| > **Utility dataset, not a contribution.** This is a cleaned and re-organised copy of existing public training |
| > sets, made for our own document-retrieval trainings. No new documents, queries or annotations were created. |
| > All credit goes to the original authors: please cite and use the original datasets. |
|
|
| 737,626 (query, page image) pairs from [vidore/colpali_train_set](https://huggingface.co/datasets/vidore/colpali_train_set) (train split), |
| [openbmb/VisRAG-Ret-Train-In-domain-data](https://huggingface.co/datasets/openbmb/VisRAG-Ret-Train-In-domain-data), |
| [openbmb/VisRAG-Ret-Train-Synthetic-data](https://huggingface.co/datasets/openbmb/VisRAG-Ret-Train-Synthetic-data) and |
| [Omundu-Riad/vdr_multilingue_cleaned](https://huggingface.co/datasets/Omundu-Riad/vdr_multilingue_cleaned) |
| (itself from [llamaindex/vdr-multilingual-train](https://huggingface.co/datasets/llamaindex/vdr-multilingual-train)), |
| regrouped into one config per domain instead of one per source dataset. |
|
|
| ## What was changed |
|
|
| - **Benchmark decontamination**: 1,064 pairs removed, i.e. every pair whose page is a page (or a re-encoded copy of |
| a page) of the ViDoRe v1, v2 or v3 (public tasks) corpora. For example, 251 of the 500 ViDoRe v1 ArxivQA test pages |
| and 74 of the 271 TatDQA test pages are present in the original training sets. |
| - **Deduplication**: 22,294 pairs removed (same page + same query), mostly pairs present in both ColPali and VisRAG. |
| - **`page_id`**: shared by identical and near-identical pages (byte hash, or correlation of the 512 px high-pass |
| filtered pages >= 0.95), so that two queries of the same page are never in-batch negatives of each other. |
| - Everything else is unchanged: original image bytes, original queries (including ColPali's "answer briefly" |
| suffixes) and original source labels. Details in `cleaning_report.json`. |
| |
| ## Configs |
| |
| | config | pairs | pages | sources (dataset / original label) | |
| |---|---|---|---| |
| | ArxivQA | 31,564 | 26,075 | colpali_train_set / arxiv_qa, VisRAG-Ret-Train-In-domain-data / ArxivQA | |
| | ChartQA | 4,223 | 2,934 | VisRAG-Ret-Train-In-domain-data / ChartQA | |
| | DocVQA | 39,379 | 10,175 | colpali_train_set / docvqa, VisRAG-Ret-Train-In-domain-data / MP-DocVQA | |
| | InfoVQA | 20,349 | 4,255 | colpali_train_set / Infographic-VQA, VisRAG-Ret-Train-In-domain-data / InfoVQA | |
| | MLPapers | 59,694 | 9,995 | VisRAG-Ret-Train-Synthetic-data / ICML Papers, VisRAG-Ret-Train-Synthetic-data / NeurIPS Papers | |
| | Manuals | 119,898 | 19,584 | VisRAG-Ret-Train-Synthetic-data / Manuallib | |
| | PlotQA | 56,192 | 46,806 | VisRAG-Ret-Train-In-domain-data / PlotQA | |
| | SlideVQA | 7,931 | 4,911 | VisRAG-Ret-Train-In-domain-data / SlideVQA | |
| | TatDQA | 12,611 | 1,816 | colpali_train_set / tatdqa | |
| | Textbooks | 59,524 | 9,905 | VisRAG-Ret-Train-Synthetic-data / Textbooks | |
| | VDR-de | 58,208 | 57,999 | vdr_multilingue_cleaned / de | |
| | VDR-en | 53,487 | 53,175 | vdr_multilingue_cleaned / en | |
| | VDR-es | 58,724 | 58,544 | vdr_multilingue_cleaned / es | |
| | VDR-fr | 55,227 | 55,005 | vdr_multilingue_cleaned / fr | |
| | VDR-it | 54,934 | 54,695 | vdr_multilingue_cleaned / it | |
| | WebPDF | 45,681 | 15,438 | colpali_train_set / pdf | |
| |
| ## Columns |
| |
| `query`, `image`, `domain`, `origin_dataset` (`colpali`, `visrag_in`, `visrag_syn`, `vdr`), `origin_label`, |
| `origin_file` and `origin_row` (row in the original parquet file), `page_id`. |
| |
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("Omundu-Riad/vqa_train_clean", "DocVQA", split="train") |
| ``` |
| |
| ## License |
| |
| Each part keeps the license and terms of its source dataset (see the original dataset cards). ColPali: academic |
| datasets under their original license, synthetic part without usage restrictions; VDR: Apache-2.0 (llamaindex). |
| |
