Comments (5)
Export to GCS is the way to go if you want a CSV dump - is there an error message? You can try following this guide: https://cloud.google.com/bigquery/docs/exporting-data. You'll need to create a new Google Cloud Storage bucket first in a US region: https://cloud.google.com/storage/docs/creating-buckets
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@wetherbeei Thank you for the response. I have created a Google Cloud Storage bucket in a US region. When I go to export, I get this error: "Access Denied: Project erudite-marker-539: User does not have bigquery.jobs.create permission in project erudite-marker-539."
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Ah, at the top of the page (right of "Google Cloud Platform") there should be a dropdown menu - you need to select a project you own to use for running the query (different from the erudite-marker-539 project that stores the public dataset).
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Ah, I tried that and it solved my problem - thank you!
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@toddrjones I think you can close this issue now.
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Related Issues (20)
- ResourceExhaustedError while running Document_representation_from_BERT HOT 2
- Empty Tables in the Dataset
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- Converting Tensorflow Bert for Patent saved model to keras.
- How to access hidden layers? HOT 3
- BERT-Base
- context tokens
- Generating new Document Embeddings
- Sklearn 1.1.1 Issue HOT 1
- Dataset lacking cited_by data even though its available on the website. HOT 4
- claim_text_extraction.ipynb df = pd.read_csv('./data/20k_G_and_H_publication_numbers.csv') workaround
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- lack of "vocab"
- Description and claims are missing for JP patents data.
- Decreasing number of annotations in google patents research in recent batches
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- Large decrease in number of OCID annotations HOT 1
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