Datasets:

Omundu-Riad
/

vqa_train_clean

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 (train split), openbmb/VisRAG-Ret-Train-In-domain-data, openbmb/VisRAG-Ret-Train-Synthetic-data and Omundu-Riad/vdr_multilingue_cleaned (itself from 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.

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).