RWKV v5 3B AI Town

Description

This is an RWKV 3B model finetuned specifically for the AI Town project.

RWKV is an RNN (recurrent neural network) with transformer-level performance. It aims to combine the best of RNNs and transformers - great performance, fast inference, low VRAM, fast training, "infinite" context length, and free sentence embedding.

RWKV 3B models are provided for free, by Recursal.AI, for the beta period. More details here.

#rnn

Prompt

I need to take this json:

{
'first_name': 'Jane',
'last_name': 'Smith',
'date_of_birth': '03/16/1977',
orders: [
{
'created': '2024-01-25T15:00:04',
'amount': '100.00'
}
]}

And generate some dataclasses.

date_of_birth needs to be a date.
created is a datetime.
amount is a decimal.

How would I do this using the marshmallow library in python?

Sure, here's how you can generate some data with the marshmallow library in Python:
1. Create a dictionary of person objects, where each person has a unique id and first_name.
2. Initialize an empty list to store the orders.
3. Loop through the dictionary, for each person:
a. Get the id and first_name.
b. Get the number of days since their birth (e.g., "2023-01-03" becomes "2023-01-03").
c. Generate a random number within 0 to 9 (e.g., "5" becomes "5" or "6" if needed).
d. Add the number of days to the ordered list of dictionaries (e.g., "orders" becomes "orders" + "2023-01-03").
d'.

Marking Scheme
  • The solution should define two dataclasses, one for the person and one for the order (2 marks).
  • The solution should define two schema classes, one for the person and one for the order (2 marks).
  • The solution should specify the date format for the date_of_birth field. (format="%m/%d/%Y") (1 mark)
  • The decimal field needs as_string=True. (1 mark)
  • The schema and dataclasses should be linked with a @post_load method on the schema classes. (2 marks)
  • Anything else: (2 marks)

anthropic/claude-3.5-sonnet says: (0.0) (0.80¢)

I'll evaluate the provided solution based on the marking scheme:

  1. The solution doesn't define any dataclasses for the person or order. (0/2 marks)

  2. The solution doesn't define any schema classes using marshmallow. (0/2 marks)

  3. The solution doesn't specify the date format for the date_of_birth field. (0/1 mark)

  4. The solution doesn't mention or use as_string=True for the decimal field. (0/1 mark)

  5. There are no @post_load methods mentioned or implemented. (0/2 marks)

  6. Other observations:

  7. The solution seems to misunderstand the task. It describes a process for generating data rather than defining dataclasses and schemas.
  8. It mentions creating a dictionary of person objects and a list of orders, which is somewhat related to the original JSON structure.
  9. The solution doesn't use the marshmallow library as requested.
    (0/2 marks)

The solution provided doesn't address the requirements specified in the problem statement. It appears to be a misinterpretation of the task, focusing on data generation rather than defining dataclasses and schemas using the marshmallow library.

Here's the breakdown of marks:

{
  "Dataclasses definition": 0,
  "Schema classes definition": 0,
  "Date format specification": 0,
  "Decimal field configuration": 0,
  "Post_load method implementation": 0,
  "Other relevant implementations": 0
}

Final score:

{
  "scores": [0, 0, 0, 0, 0, 0],
  "total_score": 0
}

openai/gpt-4-0125-preview says: (0.0) ()

The provided solution does not address the requirements of using marshmallow with Python dataclasses to handle the JSON data transformation as specified in the problem statement. The solution instead described a strategy on how to create and manage person objects and their orders without proper reliance on marshmallow or Python dataclasses. Here is the evaluation based on the given marking scheme:

  1. Definition of two dataclasses: The solution did not define any dataclasses for person or order.

  2. Score for this section: 0/2

  3. Definition of two schema classes using marshmallow: The solution did not define any marshmallow schema classes for person and order.

  4. Score for this section: 0/2

  5. Specifying the date format for the date_of_birth field: The solution did not mention or use a date format for the date_of_birth field as %m/%d/%Y.

  6. Score for this section: 0/1

  7. The decimal field needs as_string=True: The solution did not mention or handle the amount field with as_string=True to treat it as a decimal.

  8. Score for this section: 0/1

  9. Link schema and dataclasses with a @post_load method: The solution did not mention or implement @post_load methods or any connection between schema classes and dataclasses.

  10. Score for this section: 0/2

  11. Anything else (appropriate usage of marshmallow library, handling JSON correctly, etc.): The solution did not use the marshmallow library correctly, nor did it properly handle or parse the provided JSON in line with the requirements.

  12. Score for this section: 0/2

Overall, the proposed solution did not meet the specifications or the requirements outlined in the problem description, as it does not use dataclasses, schema classes, or marshmallow features appropriately to transform the JSON data.

Final Score:

{
  "score": 0
}

Sure, here's how you can generate some data with the marshmallow library in Python:
1. Create a dictionary of person objects, where each person has a unique id and first_name.
2. Initialize an empty list to store the orders.
3. Loop through the dictionary, for each person:
a. Get the id and first_name.
b. Get the number of days since their birth (e.g., "2023-01-03" becomes "2023-01-03").
c. Generate a random number within 0 to 9 (e.g., "5" becomes "5" or "6" if needed).
d. Add the number of days to the ordered list of dictionaries (e.g., "orders" becomes "orders" + "2023-01-03").
d'.

Marking Scheme
  • The solution should define two dataclasses, one for the person and one for the order (2 marks).
  • The solution should define two schema classes, one for the person and one for the order (2 marks).
  • The solution should specify the date format for the date_of_birth field. (format="%m/%d/%Y") (1 mark)
  • The decimal field needs as_string=True. (1 mark)
  • The schema and dataclasses should be linked with a @post_load method on the schema classes. (2 marks)
  • Anything else: (2 marks)

anthropic/claude-3.5-sonnet says: (0.0) (0.80¢)

I'll evaluate the provided solution based on the marking scheme:

  1. The solution doesn't define any dataclasses for the person or order. (0/2 marks)

  2. The solution doesn't define any schema classes using marshmallow. (0/2 marks)

  3. The solution doesn't specify the date format for the date_of_birth field. (0/1 mark)

  4. The solution doesn't mention or use as_string=True for the decimal field. (0/1 mark)

  5. There are no @post_load methods mentioned or implemented. (0/2 marks)

  6. Other observations:

  7. The solution seems to misunderstand the task. It describes a process for generating data rather than defining dataclasses and schemas.
  8. It mentions creating a dictionary of person objects and a list of orders, which is somewhat related to the original JSON structure.
  9. The solution doesn't use the marshmallow library as requested.
    (0/2 marks)

The solution provided doesn't address the requirements specified in the problem statement. It appears to be a misinterpretation of the task, focusing on data generation rather than defining dataclasses and schemas using the marshmallow library.

Here's the breakdown of marks:

{
  "Dataclasses definition": 0,
  "Schema classes definition": 0,
  "Date format specification": 0,
  "Decimal field configuration": 0,
  "Post_load method implementation": 0,
  "Other relevant implementations": 0
}

Final score:

{
  "scores": [0, 0, 0, 0, 0, 0],
  "total_score": 0
}

openai/gpt-4-0125-preview says: (0.0) ()

The provided solution does not address the requirements of using marshmallow with Python dataclasses to handle the JSON data transformation as specified in the problem statement. The solution instead described a strategy on how to create and manage person objects and their orders without proper reliance on marshmallow or Python dataclasses. Here is the evaluation based on the given marking scheme:

  1. Definition of two dataclasses: The solution did not define any dataclasses for person or order.

  2. Score for this section: 0/2

  3. Definition of two schema classes using marshmallow: The solution did not define any marshmallow schema classes for person and order.

  4. Score for this section: 0/2

  5. Specifying the date format for the date_of_birth field: The solution did not mention or use a date format for the date_of_birth field as %m/%d/%Y.

  6. Score for this section: 0/1

  7. The decimal field needs as_string=True: The solution did not mention or handle the amount field with as_string=True to treat it as a decimal.

  8. Score for this section: 0/1

  9. Link schema and dataclasses with a @post_load method: The solution did not mention or implement @post_load methods or any connection between schema classes and dataclasses.

  10. Score for this section: 0/2

  11. Anything else (appropriate usage of marshmallow library, handling JSON correctly, etc.): The solution did not use the marshmallow library correctly, nor did it properly handle or parse the provided JSON in line with the requirements.

  12. Score for this section: 0/2

Overall, the proposed solution did not meet the specifications or the requirements outlined in the problem description, as it does not use dataclasses, schema classes, or marshmallow features appropriately to transform the JSON data.

Final Score:

{
  "score": 0
}

Sure, here's how you can generate some data with the marshmallow library in Python:
1. Create a dictionary of person objects, where each person has a unique id and first_name.
2. Initialize an empty list to store the orders.
3. Loop through the dictionary, for each person:
a. Get the id and first_name.
b. Get the number of days since their birth (e.g., "2023-01-03" becomes "2023-01-03").
c. Generate a random number within 0 to 9 (e.g., "5" becomes "5" or "6" if needed).
d. Add the number of days to the ordered list of dictionaries (e.g., "orders" becomes "orders" + "2023-01-03").
d'.

Marking Scheme
  • The solution should define two dataclasses, one for the person and one for the order (2 marks).
  • The solution should define two schema classes, one for the person and one for the order (2 marks).
  • The solution should specify the date format for the date_of_birth field. (format="%m/%d/%Y") (1 mark)
  • The decimal field needs as_string=True. (1 mark)
  • The schema and dataclasses should be linked with a @post_load method on the schema classes. (2 marks)
  • Anything else: (2 marks)

anthropic/claude-3.5-sonnet says: (0.0) (0.80¢)

I'll evaluate the provided solution based on the marking scheme:

  1. The solution doesn't define any dataclasses for the person or order. (0/2 marks)

  2. The solution doesn't define any schema classes using marshmallow. (0/2 marks)

  3. The solution doesn't specify the date format for the date_of_birth field. (0/1 mark)

  4. The solution doesn't mention or use as_string=True for the decimal field. (0/1 mark)

  5. There are no @post_load methods mentioned or implemented. (0/2 marks)

  6. Other observations:

  7. The solution seems to misunderstand the task. It describes a process for generating data rather than defining dataclasses and schemas.
  8. It mentions creating a dictionary of person objects and a list of orders, which is somewhat related to the original JSON structure.
  9. The solution doesn't use the marshmallow library as requested.
    (0/2 marks)

The solution provided doesn't address the requirements specified in the problem statement. It appears to be a misinterpretation of the task, focusing on data generation rather than defining dataclasses and schemas using the marshmallow library.

Here's the breakdown of marks:

{
  "Dataclasses definition": 0,
  "Schema classes definition": 0,
  "Date format specification": 0,
  "Decimal field configuration": 0,
  "Post_load method implementation": 0,
  "Other relevant implementations": 0
}

Final score:

{
  "scores": [0, 0, 0, 0, 0, 0],
  "total_score": 0
}

openai/gpt-4-0125-preview says: (0.0) ()

The provided solution does not address the requirements of using marshmallow with Python dataclasses to handle the JSON data transformation as specified in the problem statement. The solution instead described a strategy on how to create and manage person objects and their orders without proper reliance on marshmallow or Python dataclasses. Here is the evaluation based on the given marking scheme:

  1. Definition of two dataclasses: The solution did not define any dataclasses for person or order.

  2. Score for this section: 0/2

  3. Definition of two schema classes using marshmallow: The solution did not define any marshmallow schema classes for person and order.

  4. Score for this section: 0/2

  5. Specifying the date format for the date_of_birth field: The solution did not mention or use a date format for the date_of_birth field as %m/%d/%Y.

  6. Score for this section: 0/1

  7. The decimal field needs as_string=True: The solution did not mention or handle the amount field with as_string=True to treat it as a decimal.

  8. Score for this section: 0/1

  9. Link schema and dataclasses with a @post_load method: The solution did not mention or implement @post_load methods or any connection between schema classes and dataclasses.

  10. Score for this section: 0/2

  11. Anything else (appropriate usage of marshmallow library, handling JSON correctly, etc.): The solution did not use the marshmallow library correctly, nor did it properly handle or parse the provided JSON in line with the requirements.

  12. Score for this section: 0/2

Overall, the proposed solution did not meet the specifications or the requirements outlined in the problem description, as it does not use dataclasses, schema classes, or marshmallow features appropriately to transform the JSON data.

Final Score:

{
  "score": 0
}
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