Datasets:

the-cramer-project
/

poquad

license: cc-by-sa-4.0
language:
  - pl
tags:
  - question-answering
  - extractive-qa
  - polish
pretty_name: PoQuAD (Parquet)
dataset_info:
  features:
    - name: id
      dtype: string
    - name: title
      dtype: string
    - name: context
      dtype: string
    - name: question
      dtype: string
    - name: answers
      struct:
        - name: text
          list: string
        - name: answer_start
          list: int32
    - name: is_impossible
      dtype: bool
  splits:
    - name: train
      num_bytes: 63391831
      num_examples: 56618
    - name: validation
      num_bytes: 7976877
      num_examples: 7060
  download_size: 17591678
  dataset_size: 71368708
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*

PoQuAD — Parquet mirror

This is a flat Parquet copy of clarin-pl/poquad, created because the original dataset uses a legacy Python loading script (poquad.py) that is incompatible with datasets >= 4.0.

The data is identical — only the format changed: the original nested SQuAD-style JSON (data → paragraphs → qas) has been flattened so that each row is one question–context pair.

is_impossible=True entries (unanswerable questions) are included with an empty answers field.

Splits

Split	Rows
train	see dataset
validation	see dataset

Schema

id            string
title         string
context       string
question      string
answers       sequence({text: string, answer_start: int32})
is_impossible bool

Original dataset

Repo: https://huggingface.co/datasets/clarin-pl/poquad
Paper: https://arxiv.org/abs/2107.10086
License: CC BY-SA 4.0