| --- |
| 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 |
|
|
| ```text |
| 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`](https://huggingface.co/datasets/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 |
|
|
| ```python |
| 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](https://huggingface.co/grpathak22) |
|
|
| ## About OpenXFI |
|
|
| This dataset is released as part of **[OpenXFI](https://openxfi.com)**, an open-source Indic AI initiative by **[ATX Labs](https://atxlabs.ai)**. |
|
|
| 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](https://openxfi.com)**. |
|
|
| ## Citation |
|
|
| If you use this dataset in your research or applications, please cite the dataset and the OpenXFI initiative: |
|
|
| ```bibtex |
| @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} |
| } |
| ``` |
|
|
| ```bibtex |
| @misc{openxfi2026, |
| title = {OpenXFI: Shaping India's AI, Together}, |
| author = {{ATX Labs}}, |
| year = {2026}, |
| url = {https://openxfi.com} |
| } |
| ``` |
|
|
| ## Contact |
|
|
| * **Website:** [openxfi.com](https://openxfi.com) |
| * **ATX Labs:** [atxlabs.ai](https://atxlabs.ai) |
| * **Issues & feedback:** Open a discussion on this dataset's **Community** tab. |
|
|
