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If you've collected additional data related to your previously uploaded CSV file or there have been changes to the existing data, you can use the re-upload option. This allows you to update or append new data to your existing dataset. Expanding your dataset with more records can benefit your machine learning model, but the impact depends on the quality and relevance of the new data. Learn more about the benefits of dataset expansion here.
Go to the Datasets List:
Navigate to the list of datasets.
Select the Dataset:
Choose the dataset you wish to re-upload.
Select Re-upload:
Click on the 'Re-upload' option.
Choose Options and upload:
Decide on data append:
Depending on your needs, you can choose 'Append data' to add new records to the existing dataset. If 'Append data' is turned off, the new dataset will overwrite the existing
Upload Your File:
Select or drag and drop your CSV file. Ensure the file has the same column structure as the previously uploaded file.
Click Update to complete the re-upload process.
If you’re experiencing problems when uploading CSV files to Graphite Note, this page provides a concise list of common issues and recommended solutions.
Symptom: You receive an error indicating that the file exceeds the size limit.
Cause: Graphite Note enforces a maximum 50 MB limit for CSV uploads.
Solution:
Split the dataset into multiple smaller CSV files.
Remove unnecessary columns or rows to reduce file size.
Connect directly to a database (e.g., PostgreSQL, MySQL, BigQuery) for larger datasets.
Symptom: Data is misaligned, or you see parsing errors.
Cause: Inconsistent delimiter usage (e.g., commas in some rows, semicolons in others) or unescaped quotes.
Solution:
Ensure a single, consistent delimiter throughout (commas or semicolons).
Escape or quote fields that contain the delimiter (e.g., "123, Main Street").
Symptom: Special characters (e.g., accented letters, non-Latin scripts) appear as garbled text or question marks.
Cause: The CSV file is not saved in UTF-8 format.
• Solution:
Save or export the file in UTF-8.
Convert the file encoding using a text editor (e.g., VSCode, Notepad++) if CSV UTF-8 is not available in your spreadsheet software.
Symptom: Your upload fails, or certain columns are not recognized.
Cause: The first row does not contain meaningful column names, or column names differ between rows.
Solution:
Always include a header row with consistent, clear column names.
Avoid special characters or spaces in headers; use underscores or camelCase instead.
Symptom: Dates appear as 0000-00-00 or fail to parse entirely.
Cause: Inconsistent date/time formats (e.g., mixing MM/DD/YYYY with YYYY-MM-DD).
Solution:
Standardize all date fields to a single format (e.g., ISO 8601: YYYY-MM-DD HH:MM:SS).
Confirm your spreadsheet application doesn’t convert date formats automatically.
Symptom: You see blank rows or the upload process halts unexpectedly.
Cause: Hidden rows, line breaks, or a corrupted export process.
Solution:
Remove any hidden or blank rows in your spreadsheet before exporting.
Open the CSV in a plain text editor to confirm each row is valid and properly delimited.
Symptom: The file upload keeps failing or timing out.
Cause: Unstable internet connection or very large file size near the 50 MB limit.
Solution:
Split the file if it’s too large.
Retry on a stronger or wired internet connection.
CSV File creating and formatting Learn how to format and encode your CSV files for best results.
Creating a CSV from Excel Step-by-step instructions on exporting your data to CSV format.
Dataset API Explore a code-free approach to sending data directly to Graphite Note without manual file uploads.
If you’ve tried these suggestions and still experience issues, contact our support team by emailing hello@graphite-note.com. We’re here to help you resolve any CSV upload problems and ensure your data is correctly imported.