{
  "citation": "",
  "description": "\n        Causal eQTL identification dataset for LOL-EVE model evaluation.\n        \n        This dataset contains indel variants in promoter regions with:\n        - Gene expression data (PIP scores)\n        - Basic functional annotations (PhyloP, CADD)\n        - Sequence information (WT and variant sequences)\n        - Genomic coordinates and variant information\n        \n        The dataset is designed for evaluating variant effect prediction models\n        on causal eQTL identification tasks.\n        ",
  "features": {
    "gene": {
      "dtype": "string",
      "_type": "Value"
    },
    "species": {
      "dtype": "string",
      "_type": "Value"
    },
    "clade": {
      "dtype": "string",
      "_type": "Value"
    },
    "chromosome": {
      "dtype": "string",
      "_type": "Value"
    },
    "position": {
      "dtype": "int64",
      "_type": "Value"
    },
    "ref": {
      "dtype": "string",
      "_type": "Value"
    },
    "alt": {
      "dtype": "string",
      "_type": "Value"
    },
    "variant_type": {
      "dtype": "string",
      "_type": "Value"
    },
    "wt_sequence": {
      "dtype": "string",
      "_type": "Value"
    },
    "var_sequence": {
      "dtype": "string",
      "_type": "Value"
    },
    "sequence_length": {
      "dtype": "int64",
      "_type": "Value"
    },
    "wt_sequence_start": {
      "dtype": "int64",
      "_type": "Value"
    },
    "pip": {
      "dtype": "float32",
      "_type": "Value"
    },
    "indel_length": {
      "dtype": "int64",
      "_type": "Value"
    },
    "distance_tss": {
      "dtype": "int64",
      "_type": "Value"
    },
    "gsa_depth": {
      "dtype": "int64",
      "_type": "Value"
    },
    "depth_category": {
      "dtype": "string",
      "_type": "Value"
    },
    "phylop": {
      "dtype": "float32",
      "_type": "Value"
    },
    "cadd": {
      "dtype": "float32",
      "_type": "Value"
    },
    "gc_percentage_delta": {
      "dtype": "float32",
      "_type": "Value"
    }
  },
  "homepage": "https://huggingface.co/Marks-lab/LOL-EVE",
  "license": "mit"
}