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docs(natural-language-processing-with-spacy): fix audits format

DEV-4049-remove-alcohol-terminology
eslopfer 2 years ago
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25707e9e94
  1. 24
      subjects/ai/nlp-spacy/audit/README.md

24
subjects/ai/nlp-spacy/audit/README.md

@ -1,6 +1,6 @@
#### Exercise 0: Environment and libraries
##### The exercise is validated is all questions of the exercise are validated.
##### The exercise is all questions of the exercise are validated.
##### Activate the virtual environment. If you used `conda` run `conda activate your_env`.
@ -16,9 +16,9 @@
#### Exercise 1: Embedding 1
##### The question 1 is validated if the embedding's shape is `(96,)`
###### For question 1, is the embedding's shape `(96,)`?
##### The question 1 is validated if the 20 first values of the vector sum to `2.9790137708187103`
###### For question 2, do the 20 first values of the vector sum to `2.9790137708187103`?
---
@ -26,7 +26,7 @@
#### Exercise 2: Tokenization
##### The question 1 is validated if the tokens printed are:
###### For question 1, are the tokens printed like the following?
```
Tokenize
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#### Exercise 3: Embeddings 2
##### The exercice is validated is all questions of the exercice are validated
##### The exercise is validated if all questions of the exercise are validated
##### The question 1 is validated if the embeddings of each word has a shape of `(300,)` and if the first 20 values of the embedding of laptop are:
###### 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?
```
array([-0.37639 , -0.075521, 0.4908 , 0.19863 , -0.11088 , -0.076145,
@ -58,7 +58,7 @@ array([-0.37639 , -0.075521, 0.4908 , 0.19863 , -0.11088 , -0.076145,
```
##### The question 2 is validated if the output is
###### For question 2, is the output the following?
![alt text][logo]
@ -70,7 +70,7 @@ array([-0.37639 , -0.075521, 0.4908 , 0.19863 , -0.11088 , -0.076145,
#### Exercise 4: Sentences' similarity
##### The question 1 is validated if the similarities between the sentences are:
###### For question 1, are the similarities between the sentences the following?
```
sentence_1 <=> sentence 2 : 0.7073220863266589
@ -84,9 +84,9 @@ sentence_2 <=> sentence 3: 0.3336274235605957
#### Exercise 5: NER
##### The exercice is validated is all questions of the exercice are validated
##### The exercise is validated if all questions of the exercise are validated
##### The question 1 is validated if the ouptut of the NER is
###### For question 1, is the ouptut of the NER the following?
```
Apple Inc. ORG
@ -114,7 +114,7 @@ sentence_2 <=> sentence 3: 0.3336274235605957
Apple II ORG
```
##### The question 2 is validated if the output shows that the first occurence of apple is not a named entity. In my case here is what the NER returns:
###### For question 2, does the output show that the first occurrence of apple is not a named entity? In my case here is what the NER returns:
```
Paul 1 5 PERSON
@ -128,7 +128,7 @@ sentence_2 <=> sentence 3: 0.3336274235605957
#### Exercise 6: Part-of-speech tags
##### The question 1 is validated if the sentences outputed are:
###### For question 1, are the sentences outputed the following?
```
INFO: Bezos PROPN NNP

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