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Datasets:
Koushim
/
en-te-kn-translation-dataset

Tasks:
Translation
Modalities:
Text
Formats:
parquet
Languages:
English
Telugu
Kannada
Size:
1M - 10M
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files Community
1
Dataset Viewer
Auto-converted to Parquet
target_lang_code
stringclasses
2 values
input_ids
sequencelengths
5
128
attention_mask
sequencelengths
5
128
labels
sequencelengths
4
128
te
[ 250004, 31901, 398, 49782, 1672, 28370, 13, 27689, 32, 2 ]
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te
[ 250004, 87, 8306, 17569, 111, 1030, 1916, 23, 54180, 5, 2 ]
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te
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te
[ 250004, 6619, 903, 4, 209, 3395, 42593, 10591, 13482, 47, 70, 232796, 5, 2 ]
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te
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te
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te
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te
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End of preview. Expand in Data Studio
YAML Metadata Warning: The task_ids "translation" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation

📚 Multilingual English-Telugu-Kannada Translation Dataset

This dataset is a curated and preprocessed subset of the AI4Bharat Samanantar dataset focused on multilingual translation tasks between English, Telugu (te_IN), and Kannada (kn_IN).

✨ Dataset Features

  • Language pairs:
    • en ↔ te_IN
    • en ↔ kn_IN
  • Preprocessed:
    • Filtered for sentence length (min=3, max=128 words)
    • Cleaned and normalized
  • Tokenized using Hugging Face Transformers tokenizers:
    • M2M100Tokenizer (for en↔kn)
    • MBart50TokenizerFast (for en↔te)

📦 Dataset Structure

The dataset contains the following fields:

  • src_texts: Source language sentence (English)
  • tgt_texts: Target language sentence (Telugu or Kannada)
  • labels: Tokenized target sequence for model training
  • input_ids, attention_mask: Tokenized source sentence

The dataset is split into:

  • train: Training samples
  • validation: Small subset for evaluation

📊 Size

  • ~7.9M total sentence pairs
  • Supports batch training and multilingual fine-tuning

💡 Usage Example 

from datasets import load_dataset

dataset = load_dataset("Koushim/en-te-kn-translation-dataset")

print(dataset["train"][0])

🧠 Intended Uses

  • Train multilingual translation models (MBart, Marian, M2M100)
  • Fine-tune LLMs on Indic translation
  • Evaluate BLEU or other metrics for low-resource translation

📜 License

CC-BY-4.0

✍️ Author

Koushik Reddy GitHub | Hugging Face

🙏 Acknowledgements

Thanks to AI4Bharat for providing the Samanantar dataset which served as the base for this project.

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