|
|
--- |
|
|
license: odc-by |
|
|
dataset_info: |
|
|
- config_name: de |
|
|
features: |
|
|
- name: inputs |
|
|
dtype: string |
|
|
- name: targets |
|
|
dtype: string |
|
|
- name: _template_idx |
|
|
dtype: int64 |
|
|
- name: _task_source |
|
|
dtype: string |
|
|
- name: _task_name |
|
|
dtype: string |
|
|
- name: _template_type |
|
|
dtype: string |
|
|
- name: messages |
|
|
list: |
|
|
- name: content |
|
|
dtype: string |
|
|
- name: role |
|
|
dtype: string |
|
|
- name: model_version |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 1321643 |
|
|
num_examples: 620 |
|
|
download_size: 802687 |
|
|
dataset_size: 1321643 |
|
|
- config_name: en |
|
|
features: |
|
|
- name: inputs |
|
|
dtype: string |
|
|
- name: targets |
|
|
dtype: string |
|
|
- name: _template_idx |
|
|
dtype: int64 |
|
|
- name: _task_source |
|
|
dtype: string |
|
|
- name: _task_name |
|
|
dtype: string |
|
|
- name: _template_type |
|
|
dtype: string |
|
|
- name: messages |
|
|
list: |
|
|
- name: content |
|
|
dtype: string |
|
|
- name: role |
|
|
dtype: string |
|
|
- name: model_version |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 3252701 |
|
|
num_examples: 1602 |
|
|
download_size: 2050665 |
|
|
dataset_size: 3252701 |
|
|
- config_name: es |
|
|
features: |
|
|
- name: inputs |
|
|
dtype: string |
|
|
- name: targets |
|
|
dtype: string |
|
|
- name: _template_idx |
|
|
dtype: int64 |
|
|
- name: _task_source |
|
|
dtype: string |
|
|
- name: _task_name |
|
|
dtype: string |
|
|
- name: _template_type |
|
|
dtype: string |
|
|
- name: messages |
|
|
list: |
|
|
- name: content |
|
|
dtype: string |
|
|
- name: role |
|
|
dtype: string |
|
|
- name: model_version |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 1409494 |
|
|
num_examples: 606 |
|
|
download_size: 873819 |
|
|
dataset_size: 1409494 |
|
|
- config_name: fr |
|
|
features: |
|
|
- name: inputs |
|
|
dtype: string |
|
|
- name: targets |
|
|
dtype: string |
|
|
- name: _template_idx |
|
|
dtype: int64 |
|
|
- name: _task_source |
|
|
dtype: string |
|
|
- name: _task_name |
|
|
dtype: string |
|
|
- name: _template_type |
|
|
dtype: string |
|
|
- name: messages |
|
|
list: |
|
|
- name: content |
|
|
dtype: string |
|
|
- name: role |
|
|
dtype: string |
|
|
- name: model_version |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 1246643 |
|
|
num_examples: 538 |
|
|
download_size: 758529 |
|
|
dataset_size: 1246643 |
|
|
- config_name: it |
|
|
features: |
|
|
- name: inputs |
|
|
dtype: string |
|
|
- name: targets |
|
|
dtype: string |
|
|
- name: _template_idx |
|
|
dtype: int64 |
|
|
- name: _task_source |
|
|
dtype: string |
|
|
- name: _task_name |
|
|
dtype: string |
|
|
- name: _template_type |
|
|
dtype: string |
|
|
- name: messages |
|
|
list: |
|
|
- name: content |
|
|
dtype: string |
|
|
- name: role |
|
|
dtype: string |
|
|
- name: model_version |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 1435802 |
|
|
num_examples: 634 |
|
|
download_size: 889845 |
|
|
dataset_size: 1435802 |
|
|
configs: |
|
|
- config_name: de |
|
|
data_files: |
|
|
- split: train |
|
|
path: de/train-* |
|
|
- config_name: en |
|
|
default: true |
|
|
data_files: |
|
|
- split: train |
|
|
path: en/train-* |
|
|
- config_name: es |
|
|
data_files: |
|
|
- split: train |
|
|
path: es/train-* |
|
|
- config_name: fr |
|
|
data_files: |
|
|
- split: train |
|
|
path: fr/train-* |
|
|
- config_name: it |
|
|
data_files: |
|
|
- split: train |
|
|
path: it/train-* |
|
|
language: |
|
|
- en |
|
|
- it |
|
|
- es |
|
|
- fr |
|
|
- de |
|
|
--- |
|
|
# Multi-FLAN-Flan2021 |
|
|
|
|
|
## Overview |
|
|
This dataset is a **multilingual subset** of the **Flan2021** component of the original **FLAN collection**. |
|
|
|
|
|
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). |
|
|
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). |
|
|
|
|
|
The purpose of this dataset is to provide a **manageable, high-quality, and reusable** multilingual instruction-following dataset. |
|
|
|
|
|
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. |
|
|
|
|
|
## Languages and Size |
|
|
|
|
|
| Language | Subset | Percentage | Number of Examples | |
|
|
|----------|--------|------------|--------------------| |
|
|
| English | en | 40% | 1,602 | |
|
|
| Italian | it | 15% | 634 | |
|
|
| French | fr | 15% | 538 | |
|
|
| Spanish | es | 15% | 606 | |
|
|
| German | de | 15% | 620 | |
|
|
|
|
|
English accounts for **40%** of the dataset, while the remaining languages collectively make up **60%**, distributed evenly. |
|
|
|
|
|
## Translation and Licensing |
|
|
|
|
|
All non-English entries were generated by translating selected English entries using **permissively licensed LLMs**: |
|
|
|
|
|
- **Mistral-Small-3.1-24B-Instruct-2503** |
|
|
- **Qwen3-VL-235B-A22B-Instruct** |
|
|
|
|
|
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. |
|
|
|
|
|
## Intended Use |
|
|
|
|
|
This dataset is intended for: |
|
|
|
|
|
- multilingual instruction-following training, |
|
|
- cross-lingual generalization research, |
|
|
- benchmarking instruction-tuned models, |
|
|
- downstream model training using permissively licensed data. |
|
|
|
|
|
## Licensing |
|
|
|
|
|
This dataset is released under ODC-BY. |
|
|
Translated outputs were produced using permissively licensed models and may be reused accordingly. |
|
|
|
