Datasets:
Dolci 4-Language (Machine-Translated)
Dataset Summary
This dataset is a 4-language machine-translated derivative of the AllenAI Dolci dataset collection, used in the OLMo 3 post-training pipeline. It contains translations of reasoning, instruction-following, and alignment data into German, French, Italian, and Spanish for research on multilingual reasoning and alignment.
Translations were generated automatically using Qwen/Qwen3-Next-80B-A3B-Instruct and may contain errors.
Dataset Format
All files use a standardized 5-column JSONL format:
| Column | Description |
|---|---|
source_id |
Join key to English canonical dataset |
output_id |
Unique identifier per translation |
language |
Target language (de/es/fr/it) |
dataset_source |
Upstream HuggingFace dataset name |
message |
Translated text |
Translation Completion Status
Dolci-Think-SFT-7B-4-Lang (source: 2,268,178 samples)
| Language | Samples | % Complete |
|---|---|---|
| DE | 2,221,369 | 98% |
| ES | 1,560,000 | 69% |
| FR | 1,272,000 | 56% |
| IT | 1,510,000 | 67% |
Dolci-Think-DPO-7B-4-Lang (source: 150,000 samples)
| Language | Samples | % Complete |
|---|---|---|
| DE | 150,067 | 100% |
| ES | 149,997 | 100% |
| FR | 149,997 | 100% |
| IT | 149,997 | 100% |
Dolci-Think-RL-7B-4-Lang (source: 102,014 samples)
| Language | Samples | % Complete |
|---|---|---|
| DE | 79,336 | 78% |
| ES | 79,337 | 78% |
| FR | 79,334 | 78% |
| IT | 79,323 | 78% |
Dolci-Think-RL-7B-Completions-SFT-4-Lang (source: 636,095 samples)
| Language | Samples | % Complete |
|---|---|---|
| DE | 288,822 | 45% |
| ES | 293,455 | 46% |
| FR | 291,159 | 46% |
| IT | 291,870 | 46% |
Dolci-Think-RL-7B-Completions-DPO-4-Lang (source: 556,095 samples)
| Language | Samples | % Complete |
|---|---|---|
| DE | 165,025 | 30% |
| ES | 165,024 | 30% |
| FR | 165,202 | 30% |
| IT | 165,184 | 30% |
Dolci-Instruct-SFT-4-Lang (source: 2,152,112 samples)
| Language | Samples | % Complete |
|---|---|---|
| DE | 556,066 | 26% |
| ES | 558,281 | 26% |
| FR | 557,759 | 26% |
| IT | 556,733 | 26% |
Dataset Contents
| Subset | Original Source | EN Samples | Type |
|---|---|---|---|
Dolci-Think-SFT-7B-4-Lang |
Dolci-Think-SFT-7B | 2,268,178 | SFT |
Dolci-Think-DPO-7B-4-Lang |
Dolci-Think-DPO-7B | 150,000 | DPO |
Dolci-Think-RL-7B-Completions-SFT-4-Lang |
Dolci-Think-RL-7B-Completions-SFT | 636,095 | SFT |
Dolci-Think-RL-7B-Completions-DPO-4-Lang |
Dolci-Think-RL-7B-Completions-DPO | 556,095 | DPO |
Dolci-Think-RL-7B-4-Lang |
Dolci-Think-RL-7B | 102,014 | RL |
Dolci-Instruct-SFT-4-Lang |
Dolci-Instruct-SFT | 2,152,112 | SFT |
Languages
Each subset contains translations in 4 languages:
de.jsonl- German (Deutsch)es.jsonl- Spanish (Español)fr.jsonl- French (Français)it.jsonl- Italian (Italiano)
Translation Details
- Model:
Qwen/Qwen3-Next-80B-A3B-Instruct - Method: Parallel inference via vLLM fleet (H100 GPUs)
- Date: January-February 2026
- Post-editing: None (fully automatic)
The translation preserves:
- Mathematical notation and LaTeX
- Code blocks and syntax highlighting
- XML tags (
<think>,<answer>, etc.) - Logical structure of reasoning chains
Usage
from datasets import load_dataset
# Load a specific subset and language
dataset = load_dataset(
"AIML-TUDA/dolci-4-lang",
data_files="Dolci-Think-SFT-7B-4-Lang/de.jsonl"
)
# Load all German data
dataset = load_dataset(
"AIML-TUDA/dolci-4-lang",
data_files="*/de.jsonl"
)
# Download via CLI
huggingface-cli download AIML-TUDA/dolci-4-lang \
Dolci-Think-SFT-7B-4-Lang/de.jsonl \
--local-dir ./data \
--repo-type dataset
Intended Use
This dataset is intended for research and educational use, in accordance with Ai2's Responsible Use Guidelines. We kindly request that it not be used for commercial, surveillance, or harmful applications.
Provenance
Source: AllenAI Dolci dataset collection (ODC-BY)
- allenai/Dolci-Think-SFT-7B
- allenai/Dolci-Think-DPO-7B
- allenai/Dolci-Think-RL-7B
- allenai/Dolci-Think-RL-7B-Completions-SFT
- allenai/Dolci-Think-RL-7B-Completions-DPO
- allenai/Dolci-Instruct-SFT
Translation model: Qwen/Qwen3-Next-80B-A3B-Instruct (Apache-2.0)
Translations were generated automatically without human post-editing.
License
This dataset is a derivative of the AllenAI Dolci dataset collection and is released under the same license: ODC-BY.
Original license statement (AllenAI):
This dataset is licensed under ODC-BY. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines.
Citation
If you use this dataset, please cite both the original AllenAI dataset and this derived dataset.
Original Dataset (OLMo 3)
@misc{olmo2025olmo3,
title = {OLMo 3},
author = {Team OLMo and Allyson Ettinger and Amanda Bertsch and Bailey Kuehl and David Graham and David Heineman and Dirk Groeneveld and Faeze Brahman and Finbarr Timbers and Hamish Ivison and Jacob Morrison and Jake Poznanski and Kyle Lo and Luca Soldaini and Matt Jordan and Mayee Chen and Michael Noukhovitch and Nathan Lambert and Pete Walsh and Pradeep Dasigi and Robert Berry and Saumya Malik and Saurabh Shah and Scott Geng and Shane Arora and Shashank Gupta and Taira Anderson and Teng Xiao and Tyler Murray and Tyler Romero and Victoria Graf and Akari Asai and Akshita Bhagia and Alexander Wettig and Alisa Liu and Aman Rangapur and Chloe Anastasiades and Costa Huang and Dustin Schwenk and Harsh Trivedi and Ian Magnusson and Jaron Lochner and Jiacheng Liu and Lester James V. Miranda and Maarten Sap and Malia Morgan and Michael Schmitz and Michal Guerquin and Michael Wilson and Regan Huff and Ronan Le Bras and Rui Xin and Rulin Shao and Sam Skjonsberg and Shannon Zejiang Shen and Shuyue Stella Li and Tucker Wilde and Valentina Pyatkin and Will Merrill and Yapei Chang and Yuling Gu and Zhiyuan Zeng and Ashish Sabharwal and Luke Zettlemoyer and Pang Wei Koh and Ali Farhadi and Noah A. Smith and Hannaneh Hajishirzi},
year = {2025},
eprint = {2512.13961},
archivePrefix= {arXiv},
primaryClass = {cs.CL},
url = {https://arxiv.org/abs/2512.13961}
}
This Dataset
@misc{dolci_4lang_2025,
title = {Dolci 4-Language: Machine-Translated Reasoning Data},
author = {Christopher Tauchmann},
year = {2025},
howpublished = {\url{https://huggingface.co/datasets/AIML-TUDA/dolci-4-lang}},
note = {Derived from AllenAI Dolci (ODC-BY); translations generated with Qwen/Qwen3-Next-80B-A3B-Instruct}
}
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