📝 add classification detail to guide documentation (#257)

Author: sebastianMindee

docs/extras/guide/expense_receipts_v5.md

@@ -193,6 +193,16 @@ The following fields are extracted for Receipt V5:
 ## Purchase Category
 **category** ([ClassificationField](#classificationfield)): The purchase category among predefined classes.
 
+#### Possible values include:
+ - toll
+ - food
+ - parking
+ - transport
+ - accommodation
+ - gasoline
+ - telecom
+ - miscellaneous
+
 ```py
 print(result.document.inference.prediction.category.value)
 ```
@@ -207,6 +217,10 @@ print(result.document.inference.prediction.date.value)
 ## Document Type
 **document_type** ([ClassificationField](#classificationfield)): One of: 'CREDIT CARD RECEIPT', 'EXPENSE RECEIPT'.
 
+#### Possible values include:
+ - expense_receipt
+ - credit_card_receipt
+
 ```py
 print(result.document.inference.prediction.document_type.value)
 ```
@@ -236,6 +250,13 @@ print(result.document.inference.prediction.receipt_number.value)
 ## Purchase Subcategory
 **subcategory** ([ClassificationField](#classificationfield)): The purchase subcategory among predefined classes for transport and food.
 
+#### Possible values include:
+ - plane
+ - taxi
+ - train
+ - restaurant
+ - shopping
+
 ```py
 print(result.document.inference.prediction.subcategory.value)
 ```

docs/extras/guide/financial_document_v1.md

@@ -266,6 +266,16 @@ print(result.document.inference.prediction.billing_address.value)
 ## Purchase Category
 **category** ([ClassificationField](#classificationfield)): The purchase category among predefined classes.
 
+#### Possible values include:
+ - toll
+ - food
+ - parking
+ - transport
+ - accommodation
+ - gasoline
+ - telecom
+ - miscellaneous
+
 ```py
 print(result.document.inference.prediction.category.value)
 ```
@@ -316,6 +326,12 @@ print(result.document.inference.prediction.document_number.value)
 ## Document Type
 **document_type** ([ClassificationField](#classificationfield)): One of: 'INVOICE', 'CREDIT NOTE', 'CREDIT CARD RECEIPT', 'EXPENSE RECEIPT'.
 
+#### Possible values include:
+ - INVOICE
+ - CREDIT NOTE
+ - CREDIT CARD RECEIPT
+ - EXPENSE RECEIPT
+
 ```py
 print(result.document.inference.prediction.document_type.value)
 ```
@@ -374,6 +390,13 @@ print(result.document.inference.prediction.shipping_address.value)
 ## Purchase Subcategory
 **subcategory** ([ClassificationField](#classificationfield)): The purchase subcategory among predefined classes for transport and food.
 
+#### Possible values include:
+ - plane
+ - taxi
+ - train
+ - restaurant
+ - shopping
+
 ```py
 print(result.document.inference.prediction.subcategory.value)
 ```

docs/extras/guide/idcard_fr_v2.md

@@ -173,6 +173,11 @@ print(result.document.inference.prediction.document_number.value)
 ## Document Sides
 [📄](#page-level-fields "This field is only present on individual pages.")**document_side** ([ClassificationField](#classificationfield)): The sides of the document which are visible.
 
+#### Possible values include:
+ - RECTO
+ - VERSO
+ - RECTO & VERSO
+
 ```py
 for document_side_elem in result.document.document_side:
     print(document_side_elem.value)
@@ -181,6 +186,10 @@ for document_side_elem in result.document.document_side:
 ## Document Type
 [📄](#page-level-fields "This field is only present on individual pages.")**document_type** ([ClassificationField](#classificationfield)): The document type or format.
 
+#### Possible values include:
+ - NEW
+ - OLD
+
 ```py
 for document_type_elem in result.document.document_type:
     print(document_type_elem.value)

docs/extras/guide/international_id_v2.md

@@ -140,6 +140,14 @@ print(result.document.inference.prediction.document_number.value)
 ## Document Type
 **document_type** ([ClassificationField](#classificationfield)): The type of personal identification document.
 
+#### Possible values include:
+ - IDENTIFICATION_CARD
+ - PASSPORT
+ - DRIVER_LICENSE
+ - VISA
+ - RESIDENCY_CARD
+ - VOTER_REGISTRATION
+
 ```py
 print(result.document.inference.prediction.document_type.value)
 ```

docs/extras/guide/invoices_v4.md

@@ -290,6 +290,10 @@ print(result.document.inference.prediction.date.value)
 ## Document Type
 **document_type** ([ClassificationField](#classificationfield)): One of: 'INVOICE', 'CREDIT NOTE'.
 
+#### Possible values include:
+ - INVOICE
+ - CREDIT NOTE
+
 ```py
 print(result.document.inference.prediction.document_type.value)
 ```

docs/extras/guide/resume_v1.md

@@ -168,6 +168,13 @@ A `ResumeV1Language` implements the following attributes:
 
 * **language** (`str`): The language's ISO 639 code.
 * **level** (`str`): The candidate's level for the language.
+
+#### Possible values include:
+ - Fluent
+ - Proficient
+ - Intermediate
+ - Beginner
+
 Fields which are specific to this product; they are not used in any other product.
 
 ### Professional Experiences Field
@@ -176,6 +183,13 @@ The list of the candidate's professional experiences.
 A `ResumeV1ProfessionalExperience` implements the following attributes:
 
 * **contract_type** (`str`): The type of contract for the professional experience.
+
+#### Possible values include:
+ - Full-Time
+ - Part-Time
+ - Internship
+ - Freelance
+
 * **department** (`str`): The specific department or division within the company.
 * **employer** (`str`): The name of the company or organization.
 * **end_month** (`str`): The month when the professional experience ended.
@@ -221,6 +235,11 @@ print(result.document.inference.prediction.document_language.value)
 ## Document Type
 **document_type** ([ClassificationField](#classificationfield)): The type of the document sent.
 
+#### Possible values include:
+ - RESUME
+ - MOTIVATION_LETTER
+ - RECOMMENDATION_LETTER
+
 ```py
 print(result.document.inference.prediction.document_type.value)
 ```