{
    "agnews": {
        "features": {
            "text": {
                "_type": "Value",
                "dtype": "string"
            },
            "label": {
                "_type": "ClassLabel",
                "names": [
                    "World",
                    "Sports",
                    "Business",
                    "Sci/Tech"
                ]
            }
        },
        "format": "parquet",
        "description": "Multi-choice, Topic classification task (Agnews)."
    },
    "amazon-reviews": {
        "features": {
            "text": {
                "_type": "Value",
                "dtype": "string"
            },
            "label": {
                "_type": "Value",
                "dtype": "int8"
            }
        },
        "description": "Multi-choice, Sentiment classification task with numerical labels (Amazon-Review)."
    },
    "imdb": {
        "features": {
            "text": {
                "_type": "Value",
                "dtype": "string"
            },
            "label": {
                "_type": "ClassLabel",
                "names": [
                    "Negative",
                    "Positive"
                ]
            }
        },
        "description": "Binary sentiment classification (IMDB)."
    },
    "commensenseqa": {
        "features": {
            "text": {
                "_type": "Value",
                "dtype": "string"
            },
            "options": {
                "feature": {
                    "_type": "Value",
                    "dtype": "string",
                    "id": null
                },
                "length": 5,
                "_type": "Sequence"
            },
            "label": {
                "_type": "Value",
                "dtype": "int8"
            }
        },
        "format": "parquet",
        "description": "Multi-choice, Commense knowledge-answering datasets (CommensenseQA)."
    },
    "fever": {
        "features": {
            "text": {
                "_type": "Value",
                "dtype": "string"
            },
            "label": {
                "_type": "ClassLabel",
                "names": [
                    "Incorrect",
                    "Correct"
                ]
            }
        },
        "description": "Binary classification, fact-checking (FEVER)."
    },
    "myriadlama": {
        "features": {
            "text": {
                "_type": "Value",
                "dtype": "string"
            },
            "options": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": 4,
                "_type": "Sequence"
            },
            "label": {
                "_type": "Value",
                "dtype": "int8"
            }
        },
        "description": "Multi-choice, open-domain knowledge question-answering (MyriadLAMA)."
    },
    "templama": {
        "features": {
            "text": {
                "_type": "Value",
                "dtype": "string"
            },
            "options": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": 4,
                "_type": "Sequence"
            },
            "label": {
                "_type": "Value",
                "dtype": "int8"
            }
        },
        "description": "Multi-choice, open-domain temporary knowledge QA (TempLAMA)."
    }
}