This pull request add metrics that are calculated based on
table_as_cells instead of text_as_html. This change is required for
comprehensive metrics calculation, as previously every colspan or
rowspan predicted was considered to be an incorrect predicted (even if
it was correct prediction)
This change has to be merged after
https://github.com/Unstructured-IO/unstructured/pull/2892 which
introduces table_as_cells field
This PR adds new table evaluation metrics prepared by @leah1985
The metrics include:
- `table count` (check)
- `table_level_acc` - accuracy of table detection
- `element_col_level_index_acc` - accuracy of cell detection in columns
- `element_row_level_index_acc` - accuracy of cell detection in rows
- `element_col_level_content_acc` - accuracy of content detected in
columns
- `element_row_level_content_acc` - accuracy of content detected in rows
TODO in next steps:
- create a minimal dataset and upload to s3 for ingest tests
- generate and add metrics on the above dataset to
`test_unstructured_ingest/metrics`
