Datasets:
Tasks:
Text2Text Generation
Formats:
parquet
Languages:
English
Size:
10M - 100M
ArXiv:
Tags:
sentence-fusion
License:
File size: 5,356 Bytes
8539110 f4a7713 8539110 f4a7713 8539110 f4a7713 8539110 f4a7713 8539110 f4a7713 8539110 f4a7713 8539110 f4a7713 8539110 f4a7713 8539110 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 |
{
"discofuse-sport": {
"description": " DISCOFUSE is a large scale dataset for discourse-based sentence fusion.\n",
"citation": "@InProceedings{GevaEtAl2019,\n title = {DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion},\n author = {Geva, Mor and Malmi, Eric and Szpektor, Idan and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics},\n note = {arXiv preprint arXiv:1902.10526},\n year = {2019}\n}\n\n",
"homepage": "https://github.com/google-research-datasets/discofuse",
"license": "",
"features": {
"connective_string": {
"dtype": "string",
"_type": "Value"
},
"discourse_type": {
"dtype": "string",
"_type": "Value"
},
"coherent_second_sentence": {
"dtype": "string",
"_type": "Value"
},
"has_coref_type_pronoun": {
"dtype": "float32",
"_type": "Value"
},
"incoherent_first_sentence": {
"dtype": "string",
"_type": "Value"
},
"incoherent_second_sentence": {
"dtype": "string",
"_type": "Value"
},
"has_coref_type_nominal": {
"dtype": "float32",
"_type": "Value"
},
"coherent_first_sentence": {
"dtype": "string",
"_type": "Value"
}
},
"builder_name": "discofuse",
"dataset_name": "discofuse",
"config_name": "discofuse-sport",
"version": {
"version_str": "1.0.0",
"description": "",
"major": 1,
"minor": 0,
"patch": 0
},
"splits": {
"train": {
"name": "train",
"num_bytes": 14736176073,
"num_examples": 43291020,
"dataset_name": null
},
"test": {
"name": "test",
"num_bytes": 151655243,
"num_examples": 445521,
"dataset_name": null
},
"validation": {
"name": "validation",
"num_bytes": 150206657,
"num_examples": 440902,
"dataset_name": null
}
},
"download_size": 9422142544,
"dataset_size": 15038037973,
"size_in_bytes": 24460180517
},
"discofuse-wikipedia": {
"description": " DISCOFUSE is a large scale dataset for discourse-based sentence fusion.\n",
"citation": "@InProceedings{GevaEtAl2019,\n title = {DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion},\n author = {Geva, Mor and Malmi, Eric and Szpektor, Idan and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics},\n note = {arXiv preprint arXiv:1902.10526},\n year = {2019}\n}\n\n",
"homepage": "https://github.com/google-research-datasets/discofuse",
"license": "",
"features": {
"connective_string": {
"dtype": "string",
"_type": "Value"
},
"discourse_type": {
"dtype": "string",
"_type": "Value"
},
"coherent_second_sentence": {
"dtype": "string",
"_type": "Value"
},
"has_coref_type_pronoun": {
"dtype": "float32",
"_type": "Value"
},
"incoherent_first_sentence": {
"dtype": "string",
"_type": "Value"
},
"incoherent_second_sentence": {
"dtype": "string",
"_type": "Value"
},
"has_coref_type_nominal": {
"dtype": "float32",
"_type": "Value"
},
"coherent_first_sentence": {
"dtype": "string",
"_type": "Value"
}
},
"builder_name": "discofuse",
"dataset_name": "discofuse",
"config_name": "discofuse-wikipedia",
"version": {
"version_str": "1.0.0",
"description": "",
"major": 1,
"minor": 0,
"patch": 0
},
"splits": {
"train": {
"name": "train",
"num_bytes": 6377885028,
"num_examples": 16310585,
"dataset_name": null
},
"test": {
"name": "test",
"num_bytes": 64007750,
"num_examples": 163657,
"dataset_name": null
},
"validation": {
"name": "validation",
"num_bytes": 65681627,
"num_examples": 168081,
"dataset_name": null
}
},
"download_size": 3929336540,
"dataset_size": 6507574405,
"size_in_bytes": 10436910945
}
} |