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Datasets:
laion
/
chemrXiv-pdf

Tasks:
Summarization
Translation
Modalities:
Document
Image
Languages:
English
Size:
1K - 10K
Tags:
chemistry
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
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YAML Metadata Warning: The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, 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-ranking, 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, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
ChemrXiv Pdf

ChemrXiv Pdf

Introducing ChemrXiv Pdf, a dataset that offers access to all PDFs published until September 15, 2024. This resource aims to facilitate artificial intelligence research and the training of domain-specific scientific models.

As part of our efforts to democratize knowledge in the scientific domain, we have compiled this dataset. While most papers included have non-restrictive and open access licenses, certain PDFs may have additional restrictions.

Researchers are encouraged to refer to the metadata uploaded at https://huggingface.co/datasets/laion/chemrxiv_metadata. This metadata provides additional information about each PDF. Please use these papers responsibly in your research.

Dataset information

  1. Indexed date: 15th of September, 2024
  2. Amount of pdfs: 26,300+
  3. Dataset size: 73GB

Did you process/alter these pdfs?

Short answer: NO. We did not process the pdfs nor extracted them. These pdfs are exactly what can be found on: https://chemrxiv.org/engage/chemrxiv/public-dashboard

How are the pdfs named?

Each pdf’s filename is their preprint DOI.

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