PETRA

Overview

PETRA is a multilingual dataset for training and evaluating AI systems on a diverse range of tasks across multiple modalities. It contains data in Arabic and English for tasks including translation, summarization, question answering, and more.

Dataset Structure

• Data is separated by language into /ar and /en directories
• Within each language directory, data is separated by task into subdirectories
• Tasks include:
  • Translation
  • Summarization
  • Conversational
  • Feature extraction
  • Zero-shot classification
  • Text generation
  • Fill mask
  • Sentence similarity
  • Text-to-speech
  • Automatic speech recognition
  • Text classification
  • Token classification
  • Table question answering
  • Question answering
  • Text2text generation
  • Audio-to-audio
  • Audio classification
  • Voice activity detection
  • Depth estimation
  • Image classification
  • Object detection
  • Image segmentation
  • Text-to-image
  • Image-to-text
  • Image-to-image
  • Unconditional image generation
  • Reinforcement learning
  • Video classification
  • Robotics
  • Tabular classification
  • Tabular regression
  • Table-to-text
  • Multiple choice
  • Text retrieval
  • Tabular-to-text
  • Text-to-video
  • Time series forecasting
  • Visual question answering
  • Zero-shot image classification
  • Graph ML

Dataset Tags

• code
• art
• chemistry
• biology
• finance
• legal
• music
• climate
• medical

Dataset Size

1M < n < 10M samples

Licenses

Apache 2.0

Citation

If you use this dataset, please cite it as:

[cite paper, arXiv, etc]

@article{PetraAI2022PetraAI, title={PetraAI: A Massive Multilingual Dataset for Machine Learning}, author={First Last and First Last}, journal={arXiv}, year={2022}, url={https://huggingface.co/datasets/PetraAI/PetraAI} }

Contact

For any questions, please reach out to [shadilytn@gmail.com]

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Dataset card metadata

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Dataset card creation guide

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https://huggingface.co/docs/hub/paper-pages