Cohere Dataset Size documentation inconsistent and off by a factor of 10 in Places

Hello,

I noticed that there is an issue with the labeling of dataset sizes for Cohere. In some cases Small, Medium and Large are listeds as 100K, 1M and 10M, but in other places its 1M, 10M, and 100M.

EDIT: Or the cohere small 768Dim 100K dataset is missing in CaseType

vectordb_bench/backend/cases.py:37

class CaseType(Enum):
    """
    Example:
        >>> case_cls = CaseType.CapacityDim128.case_cls
        >>> assert c is not None
        >>> CaseType.CapacityDim128.case_name
        "Capacity Test (128 Dim Repeated)"
    """

    CapacityDim128 = 1
    CapacityDim960 = 2

    Performance768D100M = 3
    Performance768D10M = 4
    Performance768D1M = 5

vectordb_bench/backend/dataset.py:1094

class DatasetWithSizeType(Enum):
    CohereSmall = "Small Cohere (768dim, 100K)"
    CohereMedium = "Medium Cohere (768dim, 1M)"
    CohereLarge = "Large Cohere (768dim, 10M)"
    LAIONLarge = "Large LAION (768dim, 100M)"
    BioasqMedium = "Medium Bioasq (1024dim, 1M)"
    BioasqLarge = "Large Bioasq (1024dim, 10M)"
    OpenAISmall = "Small OpenAI (1536dim, 50K)"
    OpenAIMedium = "Medium OpenAI (1536dim, 500K)"
    OpenAILarge = "Large OpenAI (1536dim, 5M)"

Start by comparing the Cohere entries in vectordb_bench/backend/dataset.py with the available Cohere-related cases in vectordb_bench/backend/cases.py. Trace where these enum values are displayed or selected for Places, then verify that the Small, Medium, and Large dataset sizes are labeled consistently and that the 768-dimension 100K case is represented if required.