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license: cc-by-4.0
language:
- hi
- en
tags:
- code-mixing
- Hinglish
- expert-annotated
size_categories:
- 1M<n<10M
configs:
- config_name: LID
data_files:
- split: train
path: "LID_train.csv"
- split: test
path: "LID_test.csv"
- config_name: MLI
data_files:
- split: train
path: "MLI_train.csv"
- split: test
path: "MLI_test.csv"
- config_name: POS
data_files:
- split: train
path: "POS_train.csv"
- split: test
path: "POS_test.csv"
- config_name: NER
data_files:
- split: train
path: "NER_train.csv"
- split: test
path: "NER_test.csv"
- config_name: MT
data_files:
- split: train
path: "MT_train.csv"
- split: test
path: "MT_test.csv"
---
## Dataset Details
**COMI-LINGUA** (**CO**de-**MI**xing and **LING**uistic Insights on Natural Hinglish **U**sage and **A**nnotation) is a high-quality Hindi-English code-mixed dataset, manually annotated by three annotators. It serves as a benchmark for multilingual NLP models by covering multiple foundational tasks.
**COMI-LINGUA provides annotations for several key NLP tasks:**
* **Language Identification (LID):** Token-wise classification of Hindi, English, and other linguistic units.<br>
Initial predictions were generated using the [Microsoft LID tool](https://github.com/microsoft/LID-tool), which annotators then reviewed and corrected.
```
Example:
sentence: प्रधानमंत्री नरेन्द्र मोदी डिजिटल इंडिया मिशन को आगे बढ़ाने के लिए पिछले सप्ताह Google के CEO सुंदर पिचाई से मुलाकात की थी ।
LID tags: hi hi hi en en en hi hi hi hi hi hi hi en hi en hi hi hi hi hi hi ot
```
* **Matrix Language Identification (MLI):** Sentence-level annotation of the dominant language.
```
Example:
sentence:"किसानों को अपनी फसल बेचने में दिक्कत न हो इसके लिये Electronic National Agriculture Market यानि ई-नाम योजना तेजी से काम हो रहा है।" Matrix Language: hi
sentence:"India’s automation and design expert pool is vast, और ज़्यादातर Global companies के इंजीिनयिंरग center भी भारत में हैं।" Matrix Language: en
```
* **Part-of-Speech (POS) Tagging:** Syntactic categorization for linguistic analysis.<br>
Tags were pre-assigned using the [CodeSwitch NLP library](https://github.com/sagorbrur/codeswitch), which annotators then reviewed and corrected.
```
Example:
sentence: भारत द्वारा बनाया गया Unified Payments Interface यानि UPI भारत की एक बहुत बड़ी success story है ।
POS tags: PROPN ADP VERB VERB PROPN PROPN PROPN CONJ PROPN PROPN ADP DET ADJ ADJ NOUN NOUN VERB X
```
* **Named Entity Recognition (NER):** Identification of entities in Hinglish text.<br>
Each token is pre-assigned a language tag using the [CodeSwitch NLP library](https://github.com/sagorbrur/codeswitch), which annotators then reviewed and corrected.
```
Example:
sentence: "मालूम हो कि पेरिस स्थित Financial Action Task Force, FATF ने जून 2018 में पाकिस्तान को ग्रे लिस्ट में रखा था।"
NER tags: "पेरिस": GPE, "Financial Action Task Force, FATF": ORGANISATION, "2018": Date, "पाकिस्तान": GPE
```
* **Machine Translation (MT):** Parallel translation of sentences in Romanized Hindi and Devanagari Hindi and English languages.
Initial translation predictions were generated using the [Llama 3.3 LLM](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct), which annotators then refined and corrected.
```
Example:
Hinglish Sentence: "भारत में भी green growth, climate resilient infrastructure और ग्रीन transition पर विशेष रूप से बल दिया जा रहा है।"
English Translation: "In India too, special emphasis is being given to green growth, climate resilient infrastructure, and green transition."
Romanized Hindi Translation: "Bharat mein bhi green growth, climate resilient infrastructure aur green transition par vishesh roop se bal diya ja raha hai."
Devnagari Hindi Translation: "भारत में भी हरित विकास, जलवायु सहनशील आधारिक संरचना और हरित संक्रमण पर विशेष रूप से बल दिया जा रहा है।"
```
### Dataset Description
- **Curated by:** [Lingo Research Group at IIT Gandhinagar](https://lingo.iitgn.ac.in/)
- **Funded by:** SERB
- **Language(s) (NLP):** Bilingual (Hindi [hi], English [en])
- **Licensed by:** cc-by-4.0
### Dataset Usage Disclaimer ‼️
<span style="color:red">This dataset is a research preview and is subject to ongoing iterative updates. As such, it provides only limited safety measures.</span>
## Contact US ✉️
[Lingo Research Group at IIT Gandhinagar, India](https://labs.iitgn.ac.in/lingo/) </br>
Mail at: [lingo@iitgn.ac.in](lingo@iitgn.ac.in)
## Citation
If you use this dataset, please cite the following work:
```
@inproceedings{sheth-etal-2025-comi,
title = "{COMI}-{LINGUA}: Expert Annotated Large-Scale Dataset for Multitask {NLP} in {H}indi-{E}nglish Code-Mixing",
author = "Sheth, Rajvee and
Beniwal, Himanshu and
Singh, Mayank",
editor = "Christodoulopoulos, Christos and
Chakraborty, Tanmoy and
Rose, Carolyn and
Peng, Violet",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.findings-emnlp.422/",
pages = "7973--7992",
ISBN = "979-8-89176-335-7",
}
``` |