Codeio misleading prompts

[RawthiL]

Hi, I'm exploring the gym and I saw that codeio generates examples like the following one:

Prompt

You are given a question that requires some input and output variables as follows:

In music theory, tonal values are often represented as tuples where the first value represents the diatonic value, the second value represents the chromatic value, and an optional third value represents the octave designation. Given two tonal values, one with an octave designation and another without, what is the resulting tonal value when the second tonal value is added to the first?

The input and output requirements are as follows:

Input:
- `x` (list): A list representing the first tonal value in the form `[d, c, o]`, where `d` is the diatonic value (integer), `c` is the chromatic value (integer), and `o` is the octave designation (integer).
- `y` (list): A list representing the second tonal value in the form `[d, c]`, where `d` is the diatonic value (integer) and `c` is the chromatic value (integer).

Output:
- `return` (list): A list representing the resulting tonal value in the form `[d, c, o]`, where `d` is the diatonic value (integer), `c` is the chromatic value (integer), and `o` is the octave designation (integer).

Given the following input:

{'x': [-50, -48, 89], 'y': [64, -49]}

Can you predict the output without writing any code? Please think and then provide the exact output in the form of a JSON object as your final answer. The keys and values of the object should strictly match the output requirement as specified.

Tip: Here is a reference code snippet for this question. You can refer to this code to guide your reasoning but not copy spans of code directly.

# import necessary packages
import itertools

# Constants
D_LEN = 7  # Diatonic length
C_LEN = 12  # Chromatic length

# main function
def main_solution(x, y):
    """
    Computes the tonal sum of two tonal values and returns the result.

    Parameters:
    x (list): A list representing the first tonal value in the form [d, c, o], where d is the diatonic value, c is the chromatic value, and o is the octave designation.
    y (list): A list representing the second tonal value in the form [d, c], where d is the diatonic value and c is the chromatic value.

    Returns:
    list: A list representing the resulting tonal value in the form [d, c, o], where d is the diatonic value, c is the chromatic value, and o is the octave designation.
    """
    # Convert input lists to tuples
    x = tuple(x)
    y = tuple(y)

    # Compute the tonal sum
    result = tonal_sum(x, y)

    # Convert the result tuple back to a list
    return list(result)

def tonal_sum(x, y):
    """Returns the value of x augmented by y."""
    if len(x) < len(y):
        raise TypeError("An octave designation cannot be added to an abstract tonal value.")

    sum_tuple = tuple(xval + yval for xval, yval in itertools.zip_longest(x, y, fillvalue=0))
    return _tonal_modulo(sum_tuple)

def _tonal_modulo(x):
    """Returns an octave-normalized rendering of x."""
    d_val = x[0] % D_LEN  # The normalized diatonic value.
    d_oct = x[0] // D_LEN  # The additional diatonic octave.
    c_val = x[1] % C_LEN  # The normalized chromatic value.

    if len(x) == 2:
        return (d_val, c_val)

    if len(x) == 3:
        return (d_val, c_val, (x[2] + d_oct))

The expected answer is '[0, 11, 91]' and the score is 1.0 with:

from reasoning_gym.code.codeio import CodeIODataset, CodeIOConfig
cCode = CodeIODataset(CodeIOConfig())

cCode.score_answer(
    '[0, 11, 91]', 
    {
        "answer": '[0, 11, 91]'
        }
    )

This looks good, however the prompt states:

... Please think and then provide the exact output in the form of a JSON object as your final answer. ...

And the model I tested did just that, and responded:

'{ "d": 0, "c": 11, "o": 91 }'

With returns score 0.0 when evaluated:

cCode.score_answer(
    '[0, 11, 91]', 
    {
        "answer": '{  "d": 0, "c": 11,  "o": 91 }'
    }
    )

I think that this is not a model error, because it was instructed to create a JSON, however the answered targeted a non-JSON response (a vector).
There are multiple ways to address this, from changing the example generation, the prompt itself or the handling of the score extraction. I would like to know what you think of this issue and where should the fix go.

[andreaskoepf]

You are right that "JSON object" here is not correct, e.g. it should be a "JSON value" (RFC7159: "A JSON value MUST be an object, array, number, or string, or one of the following three literal names: false null true"). Also regarding the "list" return type - it could be stated in the prompt that lists should be returned as JSON arrays.

But I would not agree that { "d": 0, "c": 11, "o": 91 } should be accepted as a valid answer in this case (although it shows that the model is pretty close to the correct solution).

[RawthiL]

I tested a prompt change, replacing:

Please think and then provide the exact output in the form of a JSON object as your final answer.

With:

Please think and then provide the exact output in the form of a JSON value (object, array, number or string) as your final answer.

Is enough to correctly guide the models (tested 3 of medium size). I will run some longer tests and see if it still works for all other examples (the scores should go up a little for all off the test I did).

If you agree (and my other tests show no problems) I can create a PR for this.

---

But I would not agree that { "d": 0, "c": 11, "o": 91 } should be accepted as a valid answer in this case (although it shows that the model is pretty close to the correct solution).

Agree