multilingual-reasoning
gpt-oss-20b-multilingual-reasoninggpt-oss-120b-multilingual-reasoning-i1-GGUFgpt-oss-120b-multilingual-reasoninggpt-oss-20b-multilingual-reasoninggpt-oss-20b-2-multilingual-reasoningmeta-Llama-3.1-8B-Instruct_reasoning-multilingual-R1-indic-trainLIDR_Multilingual_Reasoning_M1_Meta-Llama-3-8B-Instruct_en_es_ru_de_frLIDR_Multilingual_Reasoning_M0_Meta-Llama-3-8B-Instruct_en_es_ru_de_fr
tiny-aya-l2-thinker-multilingual-reasoning
Tiny Aya L2 Multilingual Reasoning (44 languages)
Translated multilingual reasoning traces used to train Tiny Aya L2-Thinker.
Each example has the prompt, thinking, and answer in the same non-English language alongside the original texts in English.
Data source
Prompts from AM-DeepSeek-R1-0528-Distilled
Thinking traces and outputs distilled from gpt-oss-120b
Translated with command-a-translate and DeepSeek-V3
Languages (44)
Language
Train… See the full description on the dataset page: https://huggingface.co/datasets/CohereLabs/tiny-aya-l2-thinker-multilingual-reasoning.multilingual-vlm-reasoning
Multilingual VLM Visual Reasoning Benchmark
Paper: Do Multilingual VLMs Reason Equally? A Cross-Lingual Visual Reasoning Audit for Indian Languages
Overview
This dataset contains ~1,000 visual reasoning questions translated from English into 6 Indian languages:
Hindi (hi), Tamil (ta), Telugu (te), Bengali (bn), Kannada (kn), Marathi (mr).
Source benchmarks: MathVista (testmini), ScienceQA, MMMU
Translation: IndicTrans2 (AI4Bharat), verified against GPT-4o/Gemini… See the full description on the dataset page: https://huggingface.co/datasets/Swastikr/multilingual-vlm-reasoning.gsm8k-multilingual-reasoning
gsm8k-multilingual-reasoning
GSM8K with reasoning translated to multiple languages
Schema
{"prompt": "...", "answer": "...", "reasoning": "...", "metadata": {...}}
Usage
from datasets importload_dataset
ds = load_dataset("eddie-OB/gsm8k-multilingual-reasoning")
print(ds["train"][0])
Source
Derived from OpenAI GSM8K.
multilingual-medical-reasoning-tracesThis datasets containes the traces generated to answer multiple-choice medical questions in Italian, Englihs, and Spanish.
The dataset is structured in 3 parts, one per language. Each part is composed by 2 splits, one containing the examples generated from medqa, one from medmcqa.
The columns are:
id, representing an unique identifier
full_question, representing the medical question
options, a dictionary of options to answer the question and their identifiers
list_of_options, a list of the… See the full description on the dataset page: https://huggingface.co/datasets/NLP-FBK/multilingual-medical-reasoning-traces.tiny-aya-l2-thinker-multilingual-reasoning
Tiny Aya L2 Multilingual Reasoning (44 languages)
Translated multilingual reasoning traces used to train Tiny Aya L2-Thinker.
Each example has the prompt, thinking, and answer in the same non-English language alongside the original texts in English.
Languages (44)
Language
Train
Test
Total
Amharic (am)
3,807
448
4,255
Arabic (ar)
22,968
2,538
25,506
Bulgarian (bg)
4,177
452
4,629
Bengali (bn)
3,803
422
4,225
Catalan (ca)
4,251
512
4,763
Czech… See the full description on the dataset page: https://huggingface.co/datasets/erenyeager-1/tiny-aya-l2-thinker-multilingual-reasoning.Nemotron-Multilingual-Reasoning
Nemotron-Multilingual-Reasoning
Multilingual reasoning dataset derived from the NVIDIA Llama-Nemotron-Post-Training-Dataset (science subset).
Overview
This dataset extends the English science reasoning traces to German, French, Spanish, and Italian through machine translation while preserving the original reasoning structure.
Dataset Statistics
Language
Code
Samples
Tokens
English
en
708,920
1,321,433,620
German
de
708,920
1,927,825,529
French
fr… See the full description on the dataset page: https://huggingface.co/datasets/DGurgurov/Nemotron-Multilingual-Reasoning.