---

dataset_name: synthetic-multilingual-instructions
dataset_description: |
  A massive, copyright-free dataset of synthetic instruction–response pairs in English, French, German, Spanish, Italian, and Arabic, generated using open-source LLMs and translation models. Suitable for training and evaluating large language models, chatbots, and multilingual systems.

features:
  - name: instruction
    dtype: string
  - name: response
    dtype: string
  - name: language
    dtype: string
  - name: topic
    dtype: string
  - name: complexity
    dtype: string


tags:
  - text
  - multilingual
  - synthetic-data
  - instruction-following
  - jsonl
  - open-source
  - language-models
  - translation
  - ai
  - dataset
language:
  - en
  - fr
  - de
  - es
  - it
  - ar
formats:
  - jsonl
size_categories:
  - 1K<n<10K
license: apache-2.0
task_categories:
  - text-classification
library:
  - datasets
  - pandas
  - polars

---

# Synthetic Multilingual Instruction Dataset


This dataset contains millions of synthetic, copyright-free instruction–response pairs covering practical, everyday scenarios. Each record includes:
- `instruction`: The user prompt or question
- `response`: The synthetic answer
- `language`: Language code (e.g., 'en', 'fr', 'de', 'es', 'it', 'ar')
- `topic`: General topic (e.g., 'home repair', 'finance')
- `complexity`: One of 'basic', 'intermediate', 'advanced'


## Available Files
- `instructions_en.jsonl` — English (1M records)
- `instructions_fr.jsonl` — French (1000 records)
- `instructions_de.jsonl` — German (1420 records)
- `instructions_es.jsonl` — Spanish (1375 records)
- `instructions_it.jsonl` — Italian (1069 records)
- `instructions_ar.jsonl` — Arabic (1184 records)

ds = load_dataset('Snaseem2026/synthetic-multilingual-instructions')

## Usage Examples

**Load the English dataset:**
```python
from datasets import load_dataset
ds = load_dataset('Snaseem2026/synthetic-multilingual-instructions', data_files='instructions_en.jsonl')
print(ds['train'][0])
```

**Load the French dataset:**
```python
ds = load_dataset('Snaseem2026/synthetic-multilingual-instructions', data_files='instructions_fr.jsonl')
print(ds['train'][0])
```

**Load the German dataset:**
```python
ds = load_dataset('Snaseem2026/synthetic-multilingual-instructions', data_files='instructions_de.jsonl')
print(ds['train'][0])
```

**Load the Spanish dataset:**
```python
ds = load_dataset('Snaseem2026/synthetic-multilingual-instructions', data_files='instructions_es.jsonl')
print(ds['train'][0])
```

**Load the Italian dataset:**
```python
ds = load_dataset('Snaseem2026/synthetic-multilingual-instructions', data_files='instructions_it.jsonl')
print(ds['train'][0])
```

**Load the Arabic dataset:**
```python
ds = load_dataset('Snaseem2026/synthetic-multilingual-instructions', data_files='instructions_ar.jsonl')
print(ds['train'][0])
```

## Citation
If you use this dataset, please cite:
```
@misc{snaseem2026_synthetic_multilingual_instructions,
	title={Synthetic Multilingual Instruction Dataset},
	author={Snaseem2026},
	year={2026},
	howpublished={\url{https://huggingface.co/datasets/Snaseem2026/synthetic-multilingual-instructions}}
}
```