A Tensorlake Dataset is a collection of parsed results from documents that were parsed using the options defined by the Dataset. You can retrieve the parsed result data stored in a Dataset using theDocumentation Index
Fetch the complete documentation index at: https://docs.tensorlake.ai/llms.txt
Use this file to discover all available pages before exploring further.
/datasets/{dataset_id}/data endpoint.
next_cursor field that you can use to retrieve the next page of results.
Filtering Dataset Data
The/datasets/{dataset_id}/data endpoint supports filtering the Dataset data by various parameters. You can filter by:
status: Filter by the status of the parse job (e.g.,Pending,Processing,Successful,Failure).file_name: Filter by the name of the file that was parsed. This may not be available if the file used was not a file uploaded to Tensorlake (e.g. if you used afile_urlorraw_text).created_after: Filter by an inclusive date after which the parse job was created. Date should be in RFC 3339 format (e.g.,2023-10-01T00:00:00Z).created_before: Filter by an inclusive date before which the parse job was created. Date should be in RFC 3339 format (e.g.,2023-10-01T00:00:00Z).finished_after: Filter by an inclusive date after which the parse job was finished. Date should be in RFC 3339 format (e.g.,2023-10-01T00:00:00Z).finished_before: Filter by an inclusive date before which the parse job was finished. Date should be in RFC 3339 format (e.g.,2023-10-01T00:00:00Z).