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--- |
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license: odc-by |
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dataset_info: |
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configs: |
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- config_name: de |
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data_files: |
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- split: train |
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path: de/train-* |
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- config_name: en |
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default: true |
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data_files: |
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- split: train |
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path: en/train-* |
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- config_name: es |
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data_files: |
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- split: train |
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path: es/train-* |
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- config_name: fr |
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data_files: |
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- split: train |
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path: fr/train-* |
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- config_name: it |
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data_files: |
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- split: train |
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path: it/train-* |
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language: |
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- en |
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- it |
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- es |
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- fr |
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- de |
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--- |
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# Multi-FLAN-P3 |
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## Overview |
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This dataset is a **multilingual subset** of the **P3** component of the original **FLAN collection**. |
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The original FLAN collection is extremely large and aggregates many instruction-following datasets across tasks and domains (see the [original FLAN v2 repo](https://github.com/google-research/FLAN/tree/main/flan/v2) for more information). |
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In contrast, this release contains **a selected subset** of the original FLAN data. The selection strategy mirrors the filtering and sampling used in the [**`flan_v2_converted`** dataset](https://huggingface.co/datasets/ai2-adapt-dev/flan_v2_converted). |
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The purpose of this dataset is to provide a **manageable, high-quality, and reusable** multilingual instruction-following dataset. |
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All selected entries were translated into multiple languages using **permissively licensed large language models**, enabling reuse of the generated data—including for training other models. |
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## Languages and Size |
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| Language | Subset | Percentage | Number of Examples | |
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|----------|--------|------------|--------------------| |
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| English | en | 40% | 2,451 | |
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| Italian | it | 15% | 883 | |
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| French | fr | 15% | 904 | |
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| Spanish | es | 15% | 854 | |
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| German | de | 15% | 908 | |
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English represents **40%** of the dataset; the remaining **60%** is evenly split across the other four languages. |
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## Translation and Licensing |
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All non-English entries were generated by translating selected English entries using **permissively licensed LLMs**: |
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- **Mistral-Small-3.1-24B-Instruct-2503** |
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- **Qwen3-VL-235B-A22B-Instruct** |
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The use of permissively licensed models ensures that all translated outputs can be **freely reused**, including for **training other language models**, in both research and commercial contexts. |
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## Intended Use |
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This dataset is intended for: |
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- multilingual instruction-following training, |
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- cross-lingual generalization research, |
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- benchmarking instruction-tuned models, |
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- downstream model training using permissively licensed data. |
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## Licensing |
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This dataset is released under ODC-BY. |
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Translated outputs were produced using permissively licensed models and may be reused accordingly. |
