Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

CON-2328 update exercise subject and audit 5 of nlp-spacy #2351

Merged
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion subjects/ai/nlp-spacy/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -84,7 +84,7 @@ The goal of this exercise is to learn to tokenize a document using Spacy. We did

The goal of this exercise is to learn to use SpaCy embedding on a document.

1. Compute the embedding of all the words in this sentence. The language model considered is `en_core_web_md`
1. Compute the embedding of all the words in this sentence. The language model considered is `en_core_web_md` version 3.4.1.

```
"laptop computer coffee tea water liquid dog cat kitty"
Expand Down
8 changes: 2 additions & 6 deletions subjects/ai/nlp-spacy/audit/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -48,14 +48,10 @@

##### The exercise is validated if all questions of the exercise are validated

###### For question 1, have the embeddings of each word a shape of `(300,)` and are the first 20 values of the embedding of laptop the following?
###### For question 1, have the embeddings of each word a shape of `(300,)` and is the sum of the first 20 values of the embedding of laptop the following?

```
array([-0.37639 , -0.075521, 0.4908 , 0.19863 , -0.11088 , -0.076145,
-0.30367 , -0.69663 , 0.87048 , 0.54388 , 0.42523 , 0.18045 ,
-0.4358 , -0.32606 , -0.70702 , -0.069127, -0.42674 , 2.4147 ,
0.26806 , 0.46584 ], dtype=float32)

5.710388
```

###### For question 2, is the output the following?
Expand Down
Loading