{
    "winogrande_xs": {
        "description": "WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern\n 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a\nfill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires\ncommonsense reasoning.\n",
        "citation": "@InProceedings{ai2:winogrande,\ntitle = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},\nauthors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi\n},\nyear={2019}\n}\n",
        "homepage": "https://leaderboard.allenai.org/winogrande/submissions/get-started",
        "license": "",
        "features": {
            "sentence": {
                "dtype": "string",
                "_type": "Value"
            },
            "option1": {
                "dtype": "string",
                "_type": "Value"
            },
            "option2": {
                "dtype": "string",
                "_type": "Value"
            },
            "answer": {
                "dtype": "string",
                "_type": "Value"
            }
        },
        "builder_name": "winogrande_raw",
        "dataset_name": "winogrande_raw",
        "config_name": "winogrande_xs",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 20688,
                "num_examples": 160,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 227633,
                "num_examples": 1767,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 164183,
                "num_examples": 1267,
                "dataset_name": null
            }
        },
        "download_size": 215301,
        "dataset_size": 412504,
        "size_in_bytes": 627805
    },
    "winogrande_s": {
        "description": "WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern\n 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a\nfill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires\ncommonsense reasoning.\n",
        "citation": "@InProceedings{ai2:winogrande,\ntitle = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},\nauthors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi\n},\nyear={2019}\n}\n",
        "homepage": "https://leaderboard.allenai.org/winogrande/submissions/get-started",
        "license": "",
        "features": {
            "sentence": {
                "dtype": "string",
                "_type": "Value"
            },
            "option1": {
                "dtype": "string",
                "_type": "Value"
            },
            "option2": {
                "dtype": "string",
                "_type": "Value"
            },
            "answer": {
                "dtype": "string",
                "_type": "Value"
            }
        },
        "builder_name": "winogrande_raw",
        "dataset_name": "winogrande_raw",
        "config_name": "winogrande_s",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 82292,
                "num_examples": 640,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 227633,
                "num_examples": 1767,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 164183,
                "num_examples": 1267,
                "dataset_name": null
            }
        },
        "download_size": 238397,
        "dataset_size": 474108,
        "size_in_bytes": 712505
    },
    "winogrande_m": {
        "description": "WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern\n 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a\nfill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires\ncommonsense reasoning.\n",
        "citation": "@InProceedings{ai2:winogrande,\ntitle = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},\nauthors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi\n},\nyear={2019}\n}\n",
        "homepage": "https://leaderboard.allenai.org/winogrande/submissions/get-started",
        "license": "",
        "features": {
            "sentence": {
                "dtype": "string",
                "_type": "Value"
            },
            "option1": {
                "dtype": "string",
                "_type": "Value"
            },
            "option2": {
                "dtype": "string",
                "_type": "Value"
            },
            "answer": {
                "dtype": "string",
                "_type": "Value"
            }
        },
        "builder_name": "winogrande_raw",
        "dataset_name": "winogrande_raw",
        "config_name": "winogrande_m",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 328985,
                "num_examples": 2558,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 227633,
                "num_examples": 1767,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 164183,
                "num_examples": 1267,
                "dataset_name": null
            }
        },
        "download_size": 337379,
        "dataset_size": 720801,
        "size_in_bytes": 1058180
    },
    "winogrande_l": {
        "description": "WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern\n 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a\nfill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires\ncommonsense reasoning.\n",
        "citation": "@InProceedings{ai2:winogrande,\ntitle = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},\nauthors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi\n},\nyear={2019}\n}\n",
        "homepage": "https://leaderboard.allenai.org/winogrande/submissions/get-started",
        "license": "",
        "features": {
            "sentence": {
                "dtype": "string",
                "_type": "Value"
            },
            "option1": {
                "dtype": "string",
                "_type": "Value"
            },
            "option2": {
                "dtype": "string",
                "_type": "Value"
            },
            "answer": {
                "dtype": "string",
                "_type": "Value"
            }
        },
        "builder_name": "winogrande_raw",
        "dataset_name": "winogrande_raw",
        "config_name": "winogrande_l",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 1319544,
                "num_examples": 10234,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 227633,
                "num_examples": 1767,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 164183,
                "num_examples": 1267,
                "dataset_name": null
            }
        },
        "download_size": 733064,
        "dataset_size": 1711360,
        "size_in_bytes": 2444424
    },
    "winogrande_xl": {
        "description": "WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern\n 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a\nfill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires\ncommonsense reasoning.\n",
        "citation": "@InProceedings{ai2:winogrande,\ntitle = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},\nauthors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi\n},\nyear={2019}\n}\n",
        "homepage": "https://leaderboard.allenai.org/winogrande/submissions/get-started",
        "license": "",
        "features": {
            "sentence": {
                "dtype": "string",
                "_type": "Value"
            },
            "option1": {
                "dtype": "string",
                "_type": "Value"
            },
            "option2": {
                "dtype": "string",
                "_type": "Value"
            },
            "answer": {
                "dtype": "string",
                "_type": "Value"
            }
        },
        "builder_name": "winogrande_raw",
        "dataset_name": "winogrande_raw",
        "config_name": "winogrande_xl",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 5185752,
                "num_examples": 40398,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 227633,
                "num_examples": 1767,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 164183,
                "num_examples": 1267,
                "dataset_name": null
            }
        },
        "download_size": 2262090,
        "dataset_size": 5577568,
        "size_in_bytes": 7839658
    },
    "winogrande_debiased": {
        "description": "WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern\n 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a\nfill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires\ncommonsense reasoning.\n",
        "citation": "@InProceedings{ai2:winogrande,\ntitle = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},\nauthors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi\n},\nyear={2019}\n}\n",
        "homepage": "https://leaderboard.allenai.org/winogrande/submissions/get-started",
        "license": "",
        "features": {
            "sentence": {
                "dtype": "string",
                "_type": "Value"
            },
            "option1": {
                "dtype": "string",
                "_type": "Value"
            },
            "option2": {
                "dtype": "string",
                "_type": "Value"
            },
            "answer": {
                "dtype": "string",
                "_type": "Value"
            }
        },
        "builder_name": "winogrande_raw",
        "dataset_name": "winogrande_raw",
        "config_name": "winogrande_debiased",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 1203404,
                "num_examples": 9248,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 227633,
                "num_examples": 1767,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 164183,
                "num_examples": 1267,
                "dataset_name": null
            }
        },
        "download_size": 820340,
        "dataset_size": 1595220,
        "size_in_bytes": 2415560
    }
}