Datasets:

hmhm1229
/

ConceptFormer-Eval

language:
  - en
license: other
task_categories:
  - visual-document-retrieval
pretty_name: ConceptFormer Evaluation Suite
size_categories:
  - 10K<n<100K

ConceptFormer Evaluation Suite

Queries, qrels, and source manifests for six visual-document retrieval benchmarks: InfoVQA, ChartQA, SlideVQA, TQA, OWID Charts, and Wikimedia Maps.

Retrieval is performed separately in each benchmark's own corpus. This repository includes the complete corpus images for all six benchmarks as embedded bytes in sharded Parquet files; no external image paths are required at evaluation time.

Each dataset directory contains query.parquet, qrels.txt, manifest.json, and one or more corpus-*.parquet shards. Corpus rows use doc_id, image: {bytes, path}, and dataset_name. Images are not resized or re-encoded during packaging.

The six corpora contain 80,333 image rows in total. Query and corpus Parquet files use separate schemas; score retrieval with the qrels.txt file in the same dataset directory.

from datasets import load_dataset

corpus = load_dataset(
    "parquet",
    data_files="hf://datasets/hmhm1229/ConceptFormer-Eval/data/infovqa/corpus-*.parquet",
    split="train",
)

Paper can be seen in Arxiv