{
    "ar": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "_type": "Value"
            },
            "label": {
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "_type": "ClassLabel"
            }
        },
        "builder_name": "xnli",
        "dataset_name": "xnli",
        "config_name": "ar",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 107399614,
                "num_examples": 392702,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 1294553,
                "num_examples": 5010,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 633001,
                "num_examples": 2490,
                "dataset_name": null
            }
        },
        "download_size": 59215902,
        "dataset_size": 109327168,
        "size_in_bytes": 168543070
    },
    "bg": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "_type": "Value"
            },
            "label": {
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "_type": "ClassLabel"
            }
        },
        "builder_name": "xnli",
        "dataset_name": "xnli",
        "config_name": "bg",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 125973225,
                "num_examples": 392702,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 1573034,
                "num_examples": 5010,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 774061,
                "num_examples": 2490,
                "dataset_name": null
            }
        },
        "download_size": 66117878,
        "dataset_size": 128320320,
        "size_in_bytes": 194438198
    },
    "de": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "_type": "Value"
            },
            "label": {
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "_type": "ClassLabel"
            }
        },
        "builder_name": "xnli",
        "dataset_name": "xnli",
        "config_name": "de",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 84684140,
                "num_examples": 392702,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 996488,
                "num_examples": 5010,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 494604,
                "num_examples": 2490,
                "dataset_name": null
            }
        },
        "download_size": 55973883,
        "dataset_size": 86175232,
        "size_in_bytes": 142149115
    },
    "el": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "_type": "Value"
            },
            "label": {
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "_type": "ClassLabel"
            }
        },
        "builder_name": "xnli",
        "dataset_name": "xnli",
        "config_name": "el",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 139753358,
                "num_examples": 392702,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 1704785,
                "num_examples": 5010,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 841226,
                "num_examples": 2490,
                "dataset_name": null
            }
        },
        "download_size": 74551247,
        "dataset_size": 142299369,
        "size_in_bytes": 216850616
    },
    "en": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "_type": "Value"
            },
            "label": {
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "_type": "ClassLabel"
            }
        },
        "builder_name": "xnli",
        "dataset_name": "xnli",
        "config_name": "en",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 74444026,
                "num_examples": 392702,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 875134,
                "num_examples": 5010,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 433463,
                "num_examples": 2490,
                "dataset_name": null
            }
        },
        "download_size": 50627367,
        "dataset_size": 75752623,
        "size_in_bytes": 126379990
    },
    "es": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "_type": "Value"
            },
            "label": {
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "_type": "ClassLabel"
            }
        },
        "builder_name": "xnli",
        "dataset_name": "xnli",
        "config_name": "es",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 81383284,
                "num_examples": 392702,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 969813,
                "num_examples": 5010,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 478422,
                "num_examples": 2490,
                "dataset_name": null
            }
        },
        "download_size": 53677157,
        "dataset_size": 82831519,
        "size_in_bytes": 136508676
    },
    "fr": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "_type": "Value"
            },
            "label": {
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "_type": "ClassLabel"
            }
        },
        "builder_name": "xnli",
        "dataset_name": "xnli",
        "config_name": "fr",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 85808779,
                "num_examples": 392702,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 1029239,
                "num_examples": 5010,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 510104,
                "num_examples": 2490,
                "dataset_name": null
            }
        },
        "download_size": 55968680,
        "dataset_size": 87348122,
        "size_in_bytes": 143316802
    },
    "hi": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "_type": "Value"
            },
            "label": {
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "_type": "ClassLabel"
            }
        },
        "builder_name": "xnli",
        "dataset_name": "xnli",
        "config_name": "hi",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 170593964,
                "num_examples": 392702,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 2073073,
                "num_examples": 5010,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 1023915,
                "num_examples": 2490,
                "dataset_name": null
            }
        },
        "download_size": 70908548,
        "dataset_size": 173690952,
        "size_in_bytes": 244599500
    },
    "ru": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "_type": "Value"
            },
            "label": {
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "_type": "ClassLabel"
            }
        },
        "builder_name": "xnli",
        "dataset_name": "xnli",
        "config_name": "ru",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 129859615,
                "num_examples": 392702,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 1603466,
                "num_examples": 5010,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 786442,
                "num_examples": 2490,
                "dataset_name": null
            }
        },
        "download_size": 70702606,
        "dataset_size": 132249523,
        "size_in_bytes": 202952129
    },
    "sw": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "_type": "Value"
            },
            "label": {
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "_type": "ClassLabel"
            }
        },
        "builder_name": "xnli",
        "dataset_name": "xnli",
        "config_name": "sw",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 69285725,
                "num_examples": 392702,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 871651,
                "num_examples": 5010,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 429850,
                "num_examples": 2490,
                "dataset_name": null
            }
        },
        "download_size": 45564152,
        "dataset_size": 70587226,
        "size_in_bytes": 116151378
    },
    "th": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "_type": "Value"
            },
            "label": {
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "_type": "ClassLabel"
            }
        },
        "builder_name": "xnli",
        "dataset_name": "xnli",
        "config_name": "th",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 176062892,
                "num_examples": 392702,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 2147015,
                "num_examples": 5010,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 1061160,
                "num_examples": 2490,
                "dataset_name": null
            }
        },
        "download_size": 77222045,
        "dataset_size": 179271067,
        "size_in_bytes": 256493112
    },
    "tr": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "_type": "Value"
            },
            "label": {
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "_type": "ClassLabel"
            }
        },
        "builder_name": "xnli",
        "dataset_name": "xnli",
        "config_name": "tr",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 71637140,
                "num_examples": 392702,
                "dataset_name": null
            },
            "test": {
                "name": "test",
                "num_bytes": 934934,
                "num_examples": 5010,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
                "num_bytes": 459308,
                "num_examples": 2490,
                "dataset_name": null
            }
        },
        "download_size": 48509680,
        "dataset_size": 73031382,
        "size_in_bytes": 121541062
    },
    "ur": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "label": {
                "num_classes": 3,
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            }
        },
        "post_processed": null,
        "supervised_keys": null,
        "builder_name": "xnli",
        "config_name": "ur",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 96441806,
                "num_examples": 392702,
                "dataset_name": "xnli"
            },
            "test": {
                "name": "test",
                "num_bytes": 1416249,
                "num_examples": 5010,
                "dataset_name": "xnli"
            },
            "validation": {
                "name": "validation",
                "num_bytes": 699960,
                "num_examples": 2490,
                "dataset_name": "xnli"
            }
        },
        "download_checksums": {
            "https://dl.fbaipublicfiles.com/XNLI/XNLI-MT-1.0.zip": {
                "num_bytes": 466098360,
                "checksum": "f732517ba2fb1d550e9f3c2aabaef6017c91ee2dcec90e878f138764d224db05"
            },
            "https://dl.fbaipublicfiles.com/XNLI/XNLI-1.0.zip": {
                "num_bytes": 17865352,
                "checksum": "4ba1d5e1afdb7161f0f23c66dc787802ccfa8a25a3ddd3b165a35e50df346ab1"
            }
        },
        "download_size": 483963712,
        "post_processing_size": null,
        "dataset_size": 98558015,
        "size_in_bytes": 582521727
    },
    "vi": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "label": {
                "num_classes": 3,
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            }
        },
        "post_processed": null,
        "supervised_keys": null,
        "builder_name": "xnli",
        "config_name": "vi",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 101417750,
                "num_examples": 392702,
                "dataset_name": "xnli"
            },
            "test": {
                "name": "test",
                "num_bytes": 1190225,
                "num_examples": 5010,
                "dataset_name": "xnli"
            },
            "validation": {
                "name": "validation",
                "num_bytes": 590688,
                "num_examples": 2490,
                "dataset_name": "xnli"
            }
        },
        "download_checksums": {
            "https://dl.fbaipublicfiles.com/XNLI/XNLI-MT-1.0.zip": {
                "num_bytes": 466098360,
                "checksum": "f732517ba2fb1d550e9f3c2aabaef6017c91ee2dcec90e878f138764d224db05"
            },
            "https://dl.fbaipublicfiles.com/XNLI/XNLI-1.0.zip": {
                "num_bytes": 17865352,
                "checksum": "4ba1d5e1afdb7161f0f23c66dc787802ccfa8a25a3ddd3b165a35e50df346ab1"
            }
        },
        "download_size": 483963712,
        "post_processing_size": null,
        "dataset_size": 103198663,
        "size_in_bytes": 587162375
    },
    "zh": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "hypothesis": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "label": {
                "num_classes": 3,
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            }
        },
        "post_processed": null,
        "supervised_keys": null,
        "builder_name": "xnli",
        "config_name": "zh",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 72225161,
                "num_examples": 392702,
                "dataset_name": "xnli"
            },
            "test": {
                "name": "test",
                "num_bytes": 777937,
                "num_examples": 5010,
                "dataset_name": "xnli"
            },
            "validation": {
                "name": "validation",
                "num_bytes": 384859,
                "num_examples": 2490,
                "dataset_name": "xnli"
            }
        },
        "download_checksums": {
            "https://dl.fbaipublicfiles.com/XNLI/XNLI-MT-1.0.zip": {
                "num_bytes": 466098360,
                "checksum": "f732517ba2fb1d550e9f3c2aabaef6017c91ee2dcec90e878f138764d224db05"
            },
            "https://dl.fbaipublicfiles.com/XNLI/XNLI-1.0.zip": {
                "num_bytes": 17865352,
                "checksum": "4ba1d5e1afdb7161f0f23c66dc787802ccfa8a25a3ddd3b165a35e50df346ab1"
            }
        },
        "download_size": 483963712,
        "post_processing_size": null,
        "dataset_size": 73387957,
        "size_in_bytes": 557351669
    },
    "all_languages": {
        "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
        "citation": "@InProceedings{conneau2018xnli,\n  author = {Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin},\n  title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing},\n  year = {2018},\n  publisher = {Association for Computational Linguistics},\n  location = {Brussels, Belgium},\n}",
        "homepage": "https://www.nyu.edu/projects/bowman/xnli/",
        "license": "",
        "features": {
            "premise": {
                "languages": [
                    "ar",
                    "bg",
                    "de",
                    "el",
                    "en",
                    "es",
                    "fr",
                    "hi",
                    "ru",
                    "sw",
                    "th",
                    "tr",
                    "ur",
                    "vi",
                    "zh"
                ],
                "id": null,
                "_type": "Translation"
            },
            "hypothesis": {
                "languages": [
                    "ar",
                    "bg",
                    "de",
                    "el",
                    "en",
                    "es",
                    "fr",
                    "hi",
                    "ru",
                    "sw",
                    "th",
                    "tr",
                    "ur",
                    "vi",
                    "zh"
                ],
                "num_languages": 15,
                "id": null,
                "_type": "TranslationVariableLanguages"
            },
            "label": {
                "num_classes": 3,
                "names": [
                    "entailment",
                    "neutral",
                    "contradiction"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            }
        },
        "post_processed": null,
        "supervised_keys": null,
        "builder_name": "xnli",
        "config_name": "all_languages",
        "version": {
            "version_str": "1.1.0",
            "description": "",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 1581474731,
                "num_examples": 392702,
                "dataset_name": "xnli"
            },
            "test": {
                "name": "test",
                "num_bytes": 19387508,
                "num_examples": 5010,
                "dataset_name": "xnli"
            },
            "validation": {
                "name": "validation",
                "num_bytes": 9566255,
                "num_examples": 2490,
                "dataset_name": "xnli"
            }
        },
        "download_checksums": {
            "https://dl.fbaipublicfiles.com/XNLI/XNLI-MT-1.0.zip": {
                "num_bytes": 466098360,
                "checksum": "f732517ba2fb1d550e9f3c2aabaef6017c91ee2dcec90e878f138764d224db05"
            },
            "https://dl.fbaipublicfiles.com/XNLI/XNLI-1.0.zip": {
                "num_bytes": 17865352,
                "checksum": "4ba1d5e1afdb7161f0f23c66dc787802ccfa8a25a3ddd3b165a35e50df346ab1"
            }
        },
        "download_size": 483963712,
        "post_processing_size": null,
        "dataset_size": 1610428494,
        "size_in_bytes": 2094392206
    }
}