Datasets:

srv-space
/

parlekha-aligned

File	Rows	Languages Present	Missing Languages
`original/0_null.parquet`	361,986	12 (all)	None
`original/1_null.parquet`	254,153	11	1 language missing per row
`original/2_null.parquet`	119,026	10	2 languages missing per row
`original/3_null.parquet`	58,715	9	3 languages missing per row
`translated/1_null_translated.parquet`	254,133	12 (all)	Filled via translation
`translated/2_null_translated.parquet`	118,937	12 (all)	Filled via translation

Note: Missing languages in the translated/ files have been filled using Google Translate.

Languages

The dataset includes 12 languages (11 Indian languages + English):

Code	Language	Script
`eng`	English	Latin
`ben`	Bengali	বাংলা
`guj`	Gujarati	ગુજરાતી
`hin`	Hindi	हिन्दी
`kan`	Kannada	ಕನ್ನಡ
`mal`	Malayalam	മലയാളം
`mar`	Marathi	मराठी
`ori`	Oriya/Odia	ଓଡ଼ିଆ
`pan`	Punjabi	ਪੰਜਾਬੀ
`tam`	Tamil	தமிழ்
`tel`	Telugu	తెలుగు
`urd`	Urdu	اردو

Dataset Structure

Columns

sentence_id - Unique identifier for each sentence
eng, ben, guj, hin, kan, mal, mar, ori, pan, tam, tel, urd - Sentence translations in respective languages

Folders

original/ - Original aligned data with varying completeness (may contain null values)
translated/ - Missing translations filled using Google Translate

Download

from huggingface_hub import hf_hub_download
from datasets import load_dataset

# Download all files
dataset = load_dataset("srv-space/parlekha-aligned")

# Download only original folder
original_data = load_dataset("srv-space/parlekha-aligned", data_dir="original")

# Download only translated folder
translated_data = load_dataset("srv-space/parlekha-aligned", data_dir="translated")

# Download specific file (e.g., 0_null.parquet)
zero_null = load_dataset("srv-space/parlekha-aligned", data_files="original/0_null.parquet")

# Download specific file using hf_hub_download
file_path = hf_hub_download(
    repo_id="srv-space/parlekha-aligned",
    filename="original/0_null.parquet",
    repo_type="dataset"
)

Usage Example

from datasets import load_dataset

# Load complete aligned data (no nulls)
data = load_dataset("srv-space/parlekha-aligned", data_files="original/0_null.parquet", split="train")

# Access translations
for row in data:
    print(f"ID: {row['sentence_id']}")
    print(f"English: {row['eng']}")
    print(f"Hindi: {row['hin']}")
    print(f"Bengali: {row['ben']}")
    print("---")

Direct Links

Original Files

0_null.parquet - Complete aligned data (all 12 languages present)
1_null.parquet - Data with 1 language missing per row
2_null.parquet - Data with 2 languages missing per row
3_null.parquet - Data with 3 languages missing per row

Translated Files

1_null_translated.parquet - 1 missing language filled via Google Translate
2_null_translated.parquet - 2 missing languages filled via Google Translate

Citation

If you use this dataset, please cite both this dataset and the original Pralekha dataset:

@misc{parlekha-aligned-2025,
  title={Parlekha Aligned Dataset: Multilingual Parallel Corpus for Indian Languages},
  author={srv-space},
  year={2025},
  howpublished={\url{https://huggingface.co/datasets/srv-space/parlekha-aligned}}
}

@inproceedings{doddapaneni2023pralekha,
  title={Pralekha: A Comprehensive Benchmark for Evaluating LLMs on Indian Languages},
  author={Doddapaneni, Sumanth and Aralikatte, Rahul and Khapra, Mitesh M},
  booktitle={Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing},
  year={2023},
  organization={Association for Computational Linguistics}
}

Note: Please update the Pralekha citation with the correct publication details if available.

Acknowledgments

This dataset is extracted and aligned from the Pralekha dataset created by AI4Bharat. We thank the original authors for making their work publicly available.

License

This dataset follows the same license as the parent Pralekha dataset. Please refer to the original dataset for licensing information.

Contact & Contributions

For questions, issues, or contributions, please open an issue on the dataset repository or contact the maintainers.