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Datasets:
PetraAI
/
PetraAI

Tasks:
Text Classification
Token Classification
Table Question Answering
Languages: Arabic English
Size Categories: 1M<n<10M
Tags: chemistry biology finance legal music art
DOI:
License:
Dataset card Files Community
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Dataset Viewer
Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    ValueError
Message:      Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('parquet', {}), NamedSplit('validation'): (None, {})}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response
                  for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1512, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1489, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1054, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 513, in infer_module_for_data_files
                  raise ValueError(f"Couldn't infer the same data file format for all splits. Got {split_modules}")
              ValueError: Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('parquet', {}), NamedSplit('validation'): (None, {})}

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YAML Metadata Warning: The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, 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, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

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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