---
dataset_info:
- config_name: corpus
  features:
  - name: corpus-id
    dtype: string
  - name: image
    dtype: image
  splits:
  - name: train
    num_bytes: 290540525.0
    num_examples: 741
  download_size: 269549927
  dataset_size: 290540525.0
- config_name: qrels
  features:
  - name: query-id
    dtype: string
  - name: corpus-id
    dtype: string
  - name: score
    dtype: int32
  splits:
  - name: train
    num_bytes: 84334
    num_examples: 1879
  download_size: 25863
  dataset_size: 84334
- config_name: queries
  features:
  - name: query-id
    dtype: string
  - name: query
    dtype: string
  - name: answer
    sequence: string
  - name: options
    sequence: string
  - name: is_numerical
    dtype: int32
  splits:
  - name: train
    num_bytes: 225532
    num_examples: 1879
  download_size: 112662
  dataset_size: 225532
configs:
- config_name: corpus
  data_files:
  - split: train
    path: corpus/train-*
- config_name: qrels
  data_files:
  - split: train
    path: qrels/train-*
- config_name: queries
  data_files:
  - split: train
    path: queries/train-*
---

## Dataset Description
This is a VQA dataset based on Industrial Documents from MP-DocVQA dataset from [MP-DocVQA](https://www.docvqa.org/datasets/docvqa).

### Load the dataset 
```python
from datasets import load_dataset
import csv

def load_beir_qrels(qrels_file):
    qrels = {}
    with open(qrels_file) as f:
        tsvreader = csv.DictReader(f, delimiter="\t")
        for row in tsvreader:
            qid = row["query-id"]
            pid = row["corpus-id"]
            rel = int(row["score"])
            if qid in qrels:
                qrels[qid][pid] = rel
            else:
                qrels[qid] = {pid: rel}
    return qrels

corpus_ds = load_dataset("openbmb/VisRAG-Ret-Test-MP-DocVQA", name="corpus", split="train")
queries_ds = load_dataset("openbmb/VisRAG-Ret-Test-MP-DocVQA", name="queries", split="train")

qrels_path = "xxxx" # path to qrels file which can be found under qrels folder in the repo.
qrels = load_beir_qrels(qrels_path)
```