Jupyter Notebook Example
Excerpt
import useBaseUrl from ‘@docusaurus/useBaseUrl’;
Example Data
To get the data for the following examples:
<div></div>
The data will be available in examples/data.
Data Sources
VizSeq accepts data from various types of sources: plain text file paths, ZIP file paths and Python dictionaries. (See also the data inputs section for more details.)
Here is an example for plain text file paths as inputs:
<div></div>
An example for Python dictionaries as inputs:
<div></div>
Viewing Examples and Statistics
Please see the Jupyter Notebook APIs section for full references.
First, load the vizseq package:
To view dataset statistics:
<div></div>
To view source-side n-grams:
To view corpus-level scores (BLEU and METEOR):
<div></div>
To check the IDs of available scorers in VizSeq:
<div></div>
<div></div>
We can view examples in pages with sorting:
<div></div>
Google Translate Integration
VizSeq integrates Google Translate using Google Cloud API, to use which you need a Google Cloud credential and let VizSeq know the credential JSON file path:
<div></div>
Then in example viewing API, simply switch the need_g_translate argument on:
<div></div>