language:
- mr
- en
license: cc-by-sa-4.0
size_categories:
- 1M<n<10M
task_categories:
- text-generation
- question-answering
tags:
- marathi
- code-mixed
- minglish
- romanized-marathi
- synthetic
- pretraining
- wikipedia
pretty_name: Marathi Minglish QA
Marathi Minglish QA
~1.09M synthetic Question–Answer pairs in code-mixed Romanized Marathi (Minglish), generated from Marathi Wikipedia articles.
Designed for pretraining and SFT of Marathi-aware Small Language Models that should understand and generate the way Marathi is commonly written online — Roman-script Marathi naturally mixed with English terms.
Example
Question:
Yashwant Dev kon hote exactly — sangeetkar, kavi, ki donhi?
Answer:
Yashwant Dev he Marathi music madhe ek legendary figure hote. Te primarily
sangeetkar (music composer) mhanun famous zale, but tyanchya creative range
madhe kavita writing pan included hote ...
Dataset Overview
The dataset contains approximately 1.09 million synthetic QA pairs covering a broad range of topics represented in Marathi Wikipedia.
Each source article is used to generate multiple questions spanning different dimensions of understanding, including:
- Factual knowledge
- Causal reasoning
- Processes and explanations
- Significance and impact
- Comparisons
- Contemporary context
- Human and biographical perspectives
- Common misconceptions
- Contextual understanding
The dataset is intended to help Marathi language models learn code-mixed Romanized Marathi, rather than treating Marathi as exclusively Devanagari text.
Source
- Base corpus:
wikimedia/wikipedia,20231101.mr— approximately 94K Marathi Wikipedia articles - Source language: Marathi
- Writing style: Romanized Marathi with natural English code-mixing
- Questions per article: 12 diverse question types
- Answer length: approximately 300–500 words
The source articles and their corresponding Wikipedia URLs are retained in the dataset metadata for provenance.
Schema
| Column | Type | Description |
|---|---|---|
id |
string | Unique pair ID in the format row{NNNNNN}-q{NNN} |
row_idx |
int32 | Source Wikipedia article index |
source_title |
string | Wikipedia article title in Devanagari |
source_url |
string | Source Wikipedia article URL |
question |
string | Code-mixed Roman Marathi question |
answer |
string | Code-mixed Roman Marathi answer |
est_tokens |
int32 | Estimated token count of the answer |
Quick Load
from datasets import load_dataset
ds = load_dataset(
"atx-labs/marathi-codemix-wiki-qa-1.4M",
split="train"
)
print(ds[0]["question"])
print(ds[0]["answer"])
Intended Use
This dataset is intended for:
- Marathi language model pretraining
- Supervised fine-tuning (SFT)
- Code-mixed language modeling
- Romanized Marathi generation
- Marathi QA systems
- Research on Indic code-mixing and transliteration
- Building Marathi-aware conversational models
Limitations
This is a synthetic dataset generated from Wikipedia-derived source material. As a result:
- Generated answers may contain factual errors or omissions.
- The dataset inherits potential biases and gaps present in the underlying Wikipedia corpus.
- Code-mixed Marathi reflects one style of Romanized Marathi and should not be considered a standardized writing system.
- The dataset should be reviewed or filtered further for high-stakes applications.
- Synthetic QA pairs should not be treated as independently verified factual sources.
Licence & Attribution
The underlying Wikipedia source material is licensed under CC BY-SA 4.0.
The synthetic Question–Answer dataset is released under CC BY-SA 4.0, with attribution and ShareAlike requirements applying to the dataset and adaptations of it.
Please review the applicable terms and attribution requirements of the upstream Wikipedia content when redistributing or creating derivative works.
Contributors
- Guruprasad Pathak — @grpathak22
About OpenXFI
This dataset is released as part of OpenXFI, an open-source Indic AI initiative by ATX Labs.
OpenXFI builds and openly releases foundational models, benchmarks, and datasets for Indian languages — with the goal of making high-quality Indic AI accessible to researchers, developers, and institutions across the country.
Explore the wider release, including our Indic evaluation benchmark and open datasets, at openxfi.com.
Citation
If you use this dataset in your research or applications, please cite the dataset and the OpenXFI initiative:
@misc{marathiminglishqa2026,
title = {Marathi Minglish QA: Synthetic Code-Mixed Marathi Question--Answer Dataset},
author = {Pathak, Guruprasad},
year = {2026},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/atx-labs/marathi-codemix-wiki-qa-1.4M}},
note = {Released as part of OpenXFI by ATX Labs}
}
@misc{openxfi2026,
title = {OpenXFI: Shaping India's AI, Together},
author = {{ATX Labs}},
year = {2026},
url = {https://openxfi.com}
}
Contact
- Website: openxfi.com
- ATX Labs: atxlabs.ai
- Issues & feedback: Open a discussion on this dataset's Community tab.