Upload dataset

README.md

@@ -1,5 +1,37 @@
 ---
 license: cc-by-4.0
+dataset_info:
+  config_name: winogrande_xs
+  features:
+  - name: sentence
+    dtype: string
+  - name: option1
+    dtype: string
+  - name: option2
+    dtype: string
+  - name: answer
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 20688
+    num_examples: 160
+  - name: test
+    num_bytes: 227633
+    num_examples: 1767
+  - name: validation
+    num_bytes: 164183
+    num_examples: 1267
+  download_size: 215301
+  dataset_size: 412504
+configs:
+- config_name: winogrande_xs
+  data_files:
+  - split: train
+    path: winogrande_xs/train-*
+  - split: test
+    path: winogrande_xs/test-*
+  - split: validation
+    path: winogrande_xs/validation-*
 ---
 
 # Wingrande v1.1

dataset_infos.json

@@ -1 +1,404 @@
-{"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", "id": null, "_type": "Value"}, "option1": {"dtype": "string", "id": null, "_type": "Value"}, "option2": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "winogrande", "config_name": "winogrande_xs", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 20704, "num_examples": 160, "dataset_name": "winogrande"}, "test": {"name": "test", "num_bytes": 227649, "num_examples": 1767, "dataset_name": "winogrande"}, "validation": {"name": "validation", "num_bytes": 164199, "num_examples": 1267, "dataset_name": "winogrande"}}, "download_checksums": {"https://storage.googleapis.com/ai2-mosaic/public/winogrande/winogrande_1.1.zip": {"num_bytes": 3395492, "checksum": "3619ab104d8be2977b25c90ff420cb42d491707dcc75362a1e5d22bc082b7318"}}, "download_size": 3395492, "post_processing_size": null, "dataset_size": 412552, "size_in_bytes": 3808044}, "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", "id": null, "_type": "Value"}, "option1": {"dtype": "string", "id": null, "_type": "Value"}, "option2": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "winogrande", "config_name": "winogrande_s", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 82308, "num_examples": 640, "dataset_name": "winogrande"}, "test": {"name": "test", "num_bytes": 227649, "num_examples": 1767, "dataset_name": "winogrande"}, "validation": {"name": "validation", "num_bytes": 164199, "num_examples": 1267, "dataset_name": "winogrande"}}, "download_checksums": {"https://storage.googleapis.com/ai2-mosaic/public/winogrande/winogrande_1.1.zip": {"num_bytes": 3395492, "checksum": "3619ab104d8be2977b25c90ff420cb42d491707dcc75362a1e5d22bc082b7318"}}, "download_size": 3395492, "post_processing_size": null, "dataset_size": 474156, "size_in_bytes": 3869648}, "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", "id": null, "_type": "Value"}, "option1": {"dtype": "string", "id": null, "_type": "Value"}, "option2": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "winogrande", "config_name": "winogrande_m", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 329001, "num_examples": 2558, "dataset_name": "winogrande"}, "test": {"name": "test", "num_bytes": 227649, "num_examples": 1767, "dataset_name": "winogrande"}, "validation": {"name": "validation", "num_bytes": 164199, "num_examples": 1267, "dataset_name": "winogrande"}}, "download_checksums": {"https://storage.googleapis.com/ai2-mosaic/public/winogrande/winogrande_1.1.zip": {"num_bytes": 3395492, "checksum": "3619ab104d8be2977b25c90ff420cb42d491707dcc75362a1e5d22bc082b7318"}}, "download_size": 3395492, "post_processing_size": null, "dataset_size": 720849, "size_in_bytes": 4116341}, "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", "id": null, "_type": "Value"}, "option1": {"dtype": "string", "id": null, "_type": "Value"}, "option2": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "winogrande", "config_name": "winogrande_l", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1319576, "num_examples": 10234, "dataset_name": "winogrande"}, "test": {"name": "test", "num_bytes": 227649, "num_examples": 1767, "dataset_name": "winogrande"}, "validation": {"name": "validation", "num_bytes": 164199, "num_examples": 1267, "dataset_name": "winogrande"}}, "download_checksums": {"https://storage.googleapis.com/ai2-mosaic/public/winogrande/winogrande_1.1.zip": {"num_bytes": 3395492, "checksum": "3619ab104d8be2977b25c90ff420cb42d491707dcc75362a1e5d22bc082b7318"}}, "download_size": 3395492, "post_processing_size": null, "dataset_size": 1711424, "size_in_bytes": 5106916}, "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", "id": null, "_type": "Value"}, "option1": {"dtype": "string", "id": null, "_type": "Value"}, "option2": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "winogrande", "config_name": "winogrande_xl", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 5185832, "num_examples": 40398, "dataset_name": "winogrande"}, "test": {"name": "test", "num_bytes": 227649, "num_examples": 1767, "dataset_name": "winogrande"}, "validation": {"name": "validation", "num_bytes": 164199, "num_examples": 1267, "dataset_name": "winogrande"}}, "download_checksums": {"https://storage.googleapis.com/ai2-mosaic/public/winogrande/winogrande_1.1.zip": {"num_bytes": 3395492, "checksum": "3619ab104d8be2977b25c90ff420cb42d491707dcc75362a1e5d22bc082b7318"}}, "download_size": 3395492, "post_processing_size": null, "dataset_size": 5577680, "size_in_bytes": 8973172}, "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", "id": null, "_type": "Value"}, "option1": {"dtype": "string", "id": null, "_type": "Value"}, "option2": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "winogrande", "config_name": "winogrande_debiased", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1203420, "num_examples": 9248, "dataset_name": "winogrande"}, "test": {"name": "test", "num_bytes": 227649, "num_examples": 1767, "dataset_name": "winogrande"}, "validation": {"name": "validation", "num_bytes": 164199, "num_examples": 1267, "dataset_name": "winogrande"}}, "download_checksums": {"https://storage.googleapis.com/ai2-mosaic/public/winogrande/winogrande_1.1.zip": {"num_bytes": 3395492, "checksum": "3619ab104d8be2977b25c90ff420cb42d491707dcc75362a1e5d22bc082b7318"}}, "download_size": 3395492, "post_processing_size": null, "dataset_size": 1595268, "size_in_bytes": 4990760}}
+{
+    "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",
+                "id": null,
+                "_type": "Value"
+            },
+            "option1": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "option2": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "answer": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            }
+        },
+        "post_processed": null,
+        "supervised_keys": null,
+        "builder_name": "winogrande",
+        "config_name": "winogrande_s",
+        "version": {
+            "version_str": "1.1.0",
+            "description": "",
+            "major": 1,
+            "minor": 1,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 82308,
+                "num_examples": 640,
+                "dataset_name": "winogrande"
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 227649,
+                "num_examples": 1767,
+                "dataset_name": "winogrande"
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 164199,
+                "num_examples": 1267,
+                "dataset_name": "winogrande"
+            }
+        },
+        "download_checksums": {
+            "https://storage.googleapis.com/ai2-mosaic/public/winogrande/winogrande_1.1.zip": {
+                "num_bytes": 3395492,
+                "checksum": "3619ab104d8be2977b25c90ff420cb42d491707dcc75362a1e5d22bc082b7318"
+            }
+        },
+        "download_size": 3395492,
+        "post_processing_size": null,
+        "dataset_size": 474156,
+        "size_in_bytes": 3869648
+    },
+    "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",
+                "id": null,
+                "_type": "Value"
+            },
+            "option1": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "option2": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "answer": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            }
+        },
+        "post_processed": null,
+        "supervised_keys": null,
+        "builder_name": "winogrande",
+        "config_name": "winogrande_m",
+        "version": {
+            "version_str": "1.1.0",
+            "description": "",
+            "major": 1,
+            "minor": 1,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 329001,
+                "num_examples": 2558,
+                "dataset_name": "winogrande"
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 227649,
+                "num_examples": 1767,
+                "dataset_name": "winogrande"
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 164199,
+                "num_examples": 1267,
+                "dataset_name": "winogrande"
+            }
+        },
+        "download_checksums": {
+            "https://storage.googleapis.com/ai2-mosaic/public/winogrande/winogrande_1.1.zip": {
+                "num_bytes": 3395492,
+                "checksum": "3619ab104d8be2977b25c90ff420cb42d491707dcc75362a1e5d22bc082b7318"
+            }
+        },
+        "download_size": 3395492,
+        "post_processing_size": null,
+        "dataset_size": 720849,
+        "size_in_bytes": 4116341
+    },
+    "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",
+                "id": null,
+                "_type": "Value"
+            },
+            "option1": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "option2": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "answer": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            }
+        },
+        "post_processed": null,
+        "supervised_keys": null,
+        "builder_name": "winogrande",
+        "config_name": "winogrande_l",
+        "version": {
+            "version_str": "1.1.0",
+            "description": "",
+            "major": 1,
+            "minor": 1,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 1319576,
+                "num_examples": 10234,
+                "dataset_name": "winogrande"
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 227649,
+                "num_examples": 1767,
+                "dataset_name": "winogrande"
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 164199,
+                "num_examples": 1267,
+                "dataset_name": "winogrande"
+            }
+        },
+        "download_checksums": {
+            "https://storage.googleapis.com/ai2-mosaic/public/winogrande/winogrande_1.1.zip": {
+                "num_bytes": 3395492,
+                "checksum": "3619ab104d8be2977b25c90ff420cb42d491707dcc75362a1e5d22bc082b7318"
+            }
+        },
+        "download_size": 3395492,
+        "post_processing_size": null,
+        "dataset_size": 1711424,
+        "size_in_bytes": 5106916
+    },
+    "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",
+                "id": null,
+                "_type": "Value"
+            },
+            "option1": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "option2": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "answer": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            }
+        },
+        "post_processed": null,
+        "supervised_keys": null,
+        "builder_name": "winogrande",
+        "config_name": "winogrande_xl",
+        "version": {
+            "version_str": "1.1.0",
+            "description": "",
+            "major": 1,
+            "minor": 1,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 5185832,
+                "num_examples": 40398,
+                "dataset_name": "winogrande"
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 227649,
+                "num_examples": 1767,
+                "dataset_name": "winogrande"
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 164199,
+                "num_examples": 1267,
+                "dataset_name": "winogrande"
+            }
+        },
+        "download_checksums": {
+            "https://storage.googleapis.com/ai2-mosaic/public/winogrande/winogrande_1.1.zip": {
+                "num_bytes": 3395492,
+                "checksum": "3619ab104d8be2977b25c90ff420cb42d491707dcc75362a1e5d22bc082b7318"
+            }
+        },
+        "download_size": 3395492,
+        "post_processing_size": null,
+        "dataset_size": 5577680,
+        "size_in_bytes": 8973172
+    },
+    "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",
+                "id": null,
+                "_type": "Value"
+            },
+            "option1": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "option2": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "answer": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            }
+        },
+        "post_processed": null,
+        "supervised_keys": null,
+        "builder_name": "winogrande",
+        "config_name": "winogrande_debiased",
+        "version": {
+            "version_str": "1.1.0",
+            "description": "",
+            "major": 1,
+            "minor": 1,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 1203420,
+                "num_examples": 9248,
+                "dataset_name": "winogrande"
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 227649,
+                "num_examples": 1767,
+                "dataset_name": "winogrande"
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 164199,
+                "num_examples": 1267,
+                "dataset_name": "winogrande"
+            }
+        },
+        "download_checksums": {
+            "https://storage.googleapis.com/ai2-mosaic/public/winogrande/winogrande_1.1.zip": {
+                "num_bytes": 3395492,
+                "checksum": "3619ab104d8be2977b25c90ff420cb42d491707dcc75362a1e5d22bc082b7318"
+            }
+        },
+        "download_size": 3395492,
+        "post_processing_size": null,
+        "dataset_size": 1595268,
+        "size_in_bytes": 4990760
+    }
+}

winogrande_xs/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a7c4b062ec4540d55751c581bf66d40299cb9637778143bb73dce07beb615d5
+size 117656

winogrande_xs/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f271436e457b2c737c9a82bb55efd115131291af1f7481059d1a51ca3e00a799
+size 11717

winogrande_xs/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76bf48df35738da9100407a9272f5aad11791a98642c6611f7593a0bb9a48601
+size 85928