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Duplicate from LingoIITGN/COMI-LINGUA
Browse filesCo-authored-by: Ankit Yadav <temporary0-0name@users.noreply.huggingface.co>
- .gitattributes +68 -0
- LID_test.csv +3 -0
- LID_train.csv +3 -0
- MLI_test.csv +0 -0
- MLI_train.csv +0 -0
- MT_test.csv +3 -0
- MT_train.csv +3 -0
- NER_test.csv +3 -0
- NER_train.csv +3 -0
- POS_test.csv +3 -0
- POS_train.csv +3 -0
- README.md +125 -0
.gitattributes
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Translation_train.csv filter=lfs diff=lfs merge=lfs -text
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LID_test.csv filter=lfs diff=lfs merge=lfs -text
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LID_test.csv
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LID_train.csv
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MLI_test.csv
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MLI_train.csv
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MT_test.csv
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MT_train.csv
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NER_test.csv
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NER_train.csv
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POS_test.csv
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POS_train.csv
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README.md
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---
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license: cc-by-4.0
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language:
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- hi
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- en
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tags:
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- code-mixing
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- Hinglish
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- expert-annotated
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size_categories:
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- 1M<n<10M
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configs:
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- config_name: LID
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data_files:
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- split: train
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path: "LID_train.csv"
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- split: test
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path: "LID_test.csv"
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- config_name: MLI
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data_files:
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- split: train
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path: "MLI_train.csv"
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- split: test
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path: "MLI_test.csv"
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- config_name: POS
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data_files:
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- split: train
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path: "POS_train.csv"
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- split: test
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path: "POS_test.csv"
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- config_name: NER
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data_files:
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- split: train
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path: "NER_train.csv"
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- split: test
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path: "NER_test.csv"
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- config_name: MT
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data_files:
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- split: train
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path: "MT_train.csv"
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- split: test
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path: "MT_test.csv"
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---
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## Dataset Details
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**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.
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**COMI-LINGUA provides annotations for several key NLP tasks:**
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* **Language Identification (LID):** Token-wise classification of Hindi, English, and other linguistic units.<br>
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Initial predictions were generated using the [Microsoft LID tool](https://github.com/microsoft/LID-tool), which annotators then reviewed and corrected.
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```
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Example:
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sentence: प्रधानमंत्री नरेन्द्र मोदी डिजिटल इंडिया मिशन को आगे बढ़ाने के लिए पिछले सप्ताह Google के CEO सुंदर पिचाई से मुलाकात की थी ।
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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
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```
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* **Matrix Language Identification (MLI):** Sentence-level annotation of the dominant language.
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```
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Example:
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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
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sentence:"India’s automation and design expert pool is vast, और ज़्यादातर Global companies के इंजीिनयिंरग center भी भारत में हैं।" Matrix Language: en
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```
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* **Part-of-Speech (POS) Tagging:** Syntactic categorization for linguistic analysis.<br>
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| 65 |
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Tags were pre-assigned using the [CodeSwitch NLP library](https://github.com/sagorbrur/codeswitch), which annotators then reviewed and corrected.
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| 66 |
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```
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| 67 |
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Example:
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| 68 |
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sentence: भारत द्वारा बनाया गया Unified Payments Interface यानि UPI भारत की एक बहुत बड़ी success story है ।
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POS tags: PROPN ADP VERB VERB PROPN PROPN PROPN CONJ PROPN PROPN ADP DET ADJ ADJ NOUN NOUN VERB X
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```
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* **Named Entity Recognition (NER):** Identification of entities in Hinglish text.<br>
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Each token is pre-assigned a language tag using the [CodeSwitch NLP library](https://github.com/sagorbrur/codeswitch), which annotators then reviewed and corrected.
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```
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Example:
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sentence: "मालूम हो कि पेरिस स्थित Financial Action Task Force, FATF ने जून 2018 में पाकिस्तान को ग्रे लिस्ट में रखा था।"
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NER tags: "पेरिस": GPE, "Financial Action Task Force, FATF": ORGANISATION, "2018": Date, "पाकिस्तान": GPE
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```
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* **Machine Translation (MT):** Parallel translation of sentences in Romanized Hindi and Devanagari Hindi and English languages.
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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.
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```
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Example:
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Hinglish Sentence: "भारत में भी green growth, climate resilient infrastructure और ग्रीन transition पर विशेष रूप से बल दिया जा रहा है।"
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English Translation: "In India too, special emphasis is being given to green growth, climate resilient infrastructure, and green transition."
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Romanized Hindi Translation: "Bharat mein bhi green growth, climate resilient infrastructure aur green transition par vishesh roop se bal diya ja raha hai."
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Devnagari Hindi Translation: "भारत में भी हरित विकास, जलवायु सहनशील आधारिक संरचना और हरित संक्रमण पर विशेष रूप से बल दिया जा रहा है।"
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```
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### Dataset Description
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| 88 |
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- **Curated by:** [Lingo Research Group at IIT Gandhinagar](https://lingo.iitgn.ac.in/)
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- **Funded by:** SERB
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- **Language(s) (NLP):** Bilingual (Hindi [hi], English [en])
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- **Licensed by:** cc-by-4.0
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### Dataset Usage Disclaimer ‼️
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| 95 |
+
|
| 96 |
+
<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>
|
| 97 |
+
|
| 98 |
+
## Contact US ✉️
|
| 99 |
+
|
| 100 |
+
[Lingo Research Group at IIT Gandhinagar, India](https://labs.iitgn.ac.in/lingo/) </br>
|
| 101 |
+
Mail at: [lingo@iitgn.ac.in](lingo@iitgn.ac.in)
|
| 102 |
+
|
| 103 |
+
## Citation
|
| 104 |
+
|
| 105 |
+
If you use this dataset, please cite the following work:
|
| 106 |
+
```
|
| 107 |
+
@inproceedings{sheth-etal-2025-comi,
|
| 108 |
+
title = "{COMI}-{LINGUA}: Expert Annotated Large-Scale Dataset for Multitask {NLP} in {H}indi-{E}nglish Code-Mixing",
|
| 109 |
+
author = "Sheth, Rajvee and
|
| 110 |
+
Beniwal, Himanshu and
|
| 111 |
+
Singh, Mayank",
|
| 112 |
+
editor = "Christodoulopoulos, Christos and
|
| 113 |
+
Chakraborty, Tanmoy and
|
| 114 |
+
Rose, Carolyn and
|
| 115 |
+
Peng, Violet",
|
| 116 |
+
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
|
| 117 |
+
month = nov,
|
| 118 |
+
year = "2025",
|
| 119 |
+
address = "Suzhou, China",
|
| 120 |
+
publisher = "Association for Computational Linguistics",
|
| 121 |
+
url = "https://aclanthology.org/2025.findings-emnlp.422/",
|
| 122 |
+
pages = "7973--7992",
|
| 123 |
+
ISBN = "979-8-89176-335-7",
|
| 124 |
+
}
|
| 125 |
+
```
|