---
license: mit
task_categories:
- question-answering
language:
- en
- de
- fr
- zh
- ur
pretty_name: CommonsenseQA Multilingual
configs:
  - config_name: en
    data_files:
      - split: train
        path: data/en/train.jsonl
      - split: validation
        path: data/en/validation.jsonl
  - config_name: de
    data_files:
      - split: train
        path: data/de/train.jsonl
      - split: validation
        path: data/de/validation.jsonl
  - config_name: fr
    data_files:
      - split: train
        path: data/fr/train.jsonl
      - split: validation
        path: data/fr/validation.jsonl
  - config_name: zh
    data_files:
      - split: train
        path: data/zh/train.jsonl
      - split: validation
        path: data/zh/validation.jsonl
  - config_name: ur
    data_files:
      - split: train
        path: data/ur/train.jsonl
      - split: validation
        path: data/ur/validation.jsonl
  - config_name: multi-lang
    data_files:
      - split: train
        path: data/multi-lang/train.jsonl
  - config_name: multi-lang-with-urdu
    data_files:
      - split: train
        path: data/multi-lang-with-urdu/train.jsonl
---

# CommonsenseQA Multilingual

Multilingual version of CommonsenseQA with GPT-4o-mini/GPT-5-mini generated Chain-of-Thought explanations.

## Languages
- English (en) - original
- German (de) - translated
- French (fr) - translated
- Chinese (zh) - translated
- Urdu (ur) - translated

## Splits

### Single Language Splits
- **train**: 8,196 examples per language
- **validation**: 1,221 examples per language

### Multi-Language Splits
- **multi-lang**: 8,196 examples (4 languages: en, fr, de, zh - ~2,049 per language, non-overlapping)
- **multi-lang-with-urdu**: 8,195 examples (5 languages: en, fr, de, zh, ur - 1,639 per language, non-overlapping)

**Important**: In multi-language splits, each question appears in ONLY ONE language. There is no overlap.

## Usage

```python
from datasets import load_dataset

# Load a specific language
ds = load_dataset("alibashir/CommonsenseQA", "ur")

# Load multi-lang (4 languages)
ds = load_dataset("alibashir/CommonsenseQA", "multi-lang")

# Load multi-lang-with-urdu (5 languages)
ds = load_dataset("alibashir/CommonsenseQA", "multi-lang-with-urdu")
```

## Fields
- `question`: The question with answer choices
- `cot`: Chain-of-thought explanation
- `answer`: Correct answer (A-E)
- `lang`: Language code (only in multi-lang splits)

## Changelog
- **v3**: Added Urdu (ur) translations and multi-lang-with-urdu split
- **v2**: Removed extra conclusion sentences from translations
- **v1**: Initial release with en, de, fr, zh