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String fields with number are considered numeric and it causes a Numeric Overflow error

See original GitHub issue

String fields with number are considered numeric and it causes a Numeric Overflow error When importing an Excel Spreadsheet string fields with number are considered numeric and it causes a Numeric Overflow error.

For instance in the file attached you will find 2 columns (CUIT and CUIL), those are CharField on the app models

To Reproduce

Steps to reproduce the behavior:

Import file
Result get True on result.has_errors()

Versions (please complete the following information):

Django Import Export: 2.9.0
Python: 3.10.6
Django: 4.1.1

Expected behavior Import with no errors

Screenshots Import empleados.xlsx

Additional context

** resourses.py **

class EmpleadoResource(resources.ModelResource):
    empresa = fields.Field(
        column_name='CUIT', attribute='CUIT Empresa',
        widget={
            ForeignKeyWidget(Empresa, 'cuit'),
            CharWidget()
            })
    leg = fields.Field(column_name='Leg')
    name = fields.Field(column_name='Nombre')
    cuil = fields.Field(column_name='cuil',
                        widget=CharWidget())

    class Meta:
        model = Empleado
        fields = ('empresa', 'leg', 'name', 'cuil')

** models.py **

class Empresa(models.Model):
    name = models.CharField(max_length=120, verbose_name='Razon Social')
    cuit = models.CharField(max_length=11, validators=[MinLengthValidator(11)])

class Empleado(models.Model):
    leg = models.PositiveSmallIntegerField()
    empresa = models.ForeignKey(Empresa, on_delete=models.CASCADE)
    name = models.CharField(max_length=120, verbose_name='Nombre', null=True, blank=True)
    cuil = models.CharField(max_length=11, validators=[MinLengthValidator(11)])

** views.py **

def import_empleados(request):
    context = {
        'error': '',
        'results': ''
    }

    if request.method == 'POST':
        empleado_resource = EmpleadoResource()
        dataset = Dataset()
        nuevos_empleados = request.FILES['xlsfile']
        print(nuevos_empleados)
        try:
            imported_data = dataset.load(nuevos_empleados.read())
            print(imported_data)
            result = empleado_resource.import_data(dataset, dry_run=True)
        except UnsupportedFormat:
            context['error'] = "Formato de archivo incorrecto"
        except Exception as err:
            context['error'] = f"Unexpected {err=}, {type(err)=}"

        if not result.has_errors():
            print(result)

    return render(request, 'export_lsd/export/empleados.html', context)