| { |
| "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 |
| } |
| } |
