README.md

metadata

license: cc-by-sa-4.0
task_categories:
  - multiple-choice
  - question-answering
language:
  - ar
  - bn
  - de
  - en
  - es
  - fr
  - id
  - ja
  - pt
  - ru
  - sw
  - zh
configs:
  - config_name: ar
    data_files:
      - split: train
        path: data/ar/train.parquet
      - split: validation
        path: data/ar/validation.parquet
      - split: test
        path: data/ar/test.parquet
  - config_name: bn
    data_files:
      - split: train
        path: data/bn/train.parquet
      - split: validation
        path: data/bn/validation.parquet
      - split: test
        path: data/bn/test.parquet
  - config_name: de
    data_files:
      - split: train
        path: data/de/train.parquet
      - split: validation
        path: data/de/validation.parquet
      - split: test
        path: data/de/test.parquet
  - config_name: en
    data_files:
      - split: train
        path: data/en/train.parquet
      - split: validation
        path: data/en/validation.parquet
      - split: test
        path: data/en/test.parquet
  - config_name: es
    data_files:
      - split: train
        path: data/es/train.parquet
      - split: validation
        path: data/es/validation.parquet
      - split: test
        path: data/es/test.parquet
  - config_name: fr
    data_files:
      - split: train
        path: data/fr/train.parquet
      - split: validation
        path: data/fr/validation.parquet
      - split: test
        path: data/fr/test.parquet
  - config_name: id
    data_files:
      - split: train
        path: data/id/train.parquet
      - split: validation
        path: data/id/validation.parquet
      - split: test
        path: data/id/test.parquet
  - config_name: ja
    data_files:
      - split: train
        path: data/ja/train.parquet
      - split: validation
        path: data/ja/validation.parquet
      - split: test
        path: data/ja/test.parquet
  - config_name: pt
    data_files:
      - split: train
        path: data/pt/train.parquet
      - split: validation
        path: data/pt/validation.parquet
      - split: test
        path: data/pt/test.parquet
  - config_name: ru
    data_files:
      - split: train
        path: data/ru/train.parquet
      - split: validation
        path: data/ru/validation.parquet
      - split: test
        path: data/ru/test.parquet
  - config_name: sw
    data_files:
      - split: train
        path: data/sw/train.parquet
      - split: validation
        path: data/sw/validation.parquet
      - split: test
        path: data/sw/test.parquet
  - config_name: zh
    data_files:
      - split: train
        path: data/zh/train.parquet
      - split: validation
        path: data/zh/validation.parquet
      - split: test
        path: data/zh/test.parquet
  - config_name: parallel
    data_files:
      - split: train
        path: data/parallel/train.parquet
      - split: validation
        path: data/parallel/validation.parquet
      - split: test
        path: data/parallel/test.parquet

PolyFact

PolyFact is a parallel multilingual multiple-choice QA dataset for evaluating and post-training factual recall across 12 languages. Every item is grounded in a Wikidata triple and aligned across Arabic, Bengali, German, English, Spanish, French, Indonesian, Japanese, Portuguese, Russian, Swahili, and Chinese.

This curated release contains 58,807 facts:

Split	Facts per configuration
Train	56,324
Validation	444
Test	2,039

Loading the dataset

PolyFact has no default configuration, so a configuration name is required.

from datasets import load_dataset

# One language: ar, bn, de, en, es, fr, id, ja, pt, ru, sw, or zh
en = load_dataset("anonymous/PolyFact", "en")

# All 12 languages aligned by fact
parallel = load_dataset("anonymous/PolyFact", "parallel")

Configurations and schema

Configuration	Shape	Main fields
Language (en, de, etc.)	One row per fact and language	fact_id, question, option_a–option_d, answer_text, answer_index, option_ids
parallel	One row per fact	Wikidata subject/property/object IDs plus a translations struct containing all 12 languages

Options are independently shuffled in each language. Use option_ids to align candidate entities exactly across languages; do not assume option positions match.

What was cleaned

The current release removes high-ambiguity or intrinsically multi-valued relations, corrupt labels, defective or answer-leaking questions, foreign-script artifacts, split overlap, duplicate options, and over-represented answers. Distractors were resampled using Wikidata entity IDs, and the final test split was audited item by item; 484 test facts were removed. The associated droplists and audit summaries are included in this repository.

All 13 configurations contain the same fact IDs in each split. The release was validated for answer/index/QID agreement, cross-language option-set alignment, duplicate rows, and cross-split overlap.

Limitations

Questions were initially generated independently per language and may still contain subtle translation or entity-reference errors despite extensive automated and human auditing. PolyFact inherits Wikidata's coverage and labeling biases, and the curated set is weighted toward relations with a single unambiguous answer. Results measure ranking among four candidates rather than unrestricted factual generation.