Datasets:
File size: 4,468 Bytes
cc5f84c |
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 |
{
"description": "MobIE is a German-language dataset which is human-annotated with 20 coarse- and fine-grained entity types and entity linking information for geographically linkable entities. The dataset consists of 3,232 social media texts and traffic reports with 91K tokens, and contains 20.5K annotated entities, 13.1K of which are linked to a knowledge base. A subset of the dataset is human-annotated with seven mobility-related, n-ary relation types, while the remaining documents are annotated using a weakly-supervised labeling approach implemented with the Snorkel framework. The dataset combines annotations for NER, EL and RE, and thus can be used for joint and multi-task learning of these fundamental information extraction tasks.",
"citation": " @inproceedings{hennig-etal-2021-mobie,\n title = \"{M}ob{IE}: A {G}erman Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain\",\n author = \"Hennig, Leonhard and\n Truong, Phuc Tran and\n Gabryszak, Aleksandra\",\n booktitle = \"Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021)\",\n month = \"6--9 \" # sep,\n year = \"2021\",\n address = {D{\"u}sseldorf, Germany},\n publisher = \"KONVENS 2021 Organizers\",\n url = \"https://aclanthology.org/2021.konvens-1.22\",\n pages = \"223--227\",\n}\n",
"homepage": "https://github.com/dfki-nlp/mobie",
"license": "CC-BY 4.0",
"features": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"tokens": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner_tags": {
"feature": {
"num_classes": 41,
"names": [
"O",
"B-date",
"I-date",
"B-disaster-type",
"I-disaster-type",
"B-distance",
"I-distance",
"B-duration",
"I-duration",
"B-event-cause",
"I-event-cause",
"B-location",
"I-location",
"B-location-city",
"I-location-city",
"B-location-route",
"I-location-route",
"B-location-stop",
"I-location-stop",
"B-location-street",
"I-location-street",
"B-money",
"I-money",
"B-number",
"I-number",
"B-organization",
"I-organization",
"B-organization-company",
"I-organization-company",
"B-org-position",
"I-org-position",
"B-percent",
"I-percent",
"B-person",
"I-person",
"B-set",
"I-set",
"B-time",
"I-time",
"B-trigger",
"I-trigger"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"post_processed": null,
"supervised_keys": null,
"task_templates": null,
"builder_name": "mobie",
"config_name": "mobie-v1_20210811",
"version": {
"version_str": "1.0.0",
"description": null,
"major": 1,
"minor": 0,
"patch": 0
},
"splits": {
"train": {
"name": "train",
"num_bytes": 1269814,
"num_examples": 4785,
"dataset_name": "mobie"
},
"test": {
"name": "test",
"num_bytes": 441466,
"num_examples": 1210,
"dataset_name": "mobie"
},
"validation": {
"name": "validation",
"num_bytes": 286139,
"num_examples": 1082,
"dataset_name": "mobie"
}
},
"download_checksums": {
"https://github.com/DFKI-NLP/MobIE/raw/master/v1_20210811/train.jsonl.gz": {
"num_bytes": 5273134,
"checksum": "334cb5d7d66877f2e6344f019de93ad99daaae5b2876c159e28f37da7d29b0b6"
},
"https://github.com/DFKI-NLP/MobIE/raw/master/v1_20210811/dev.jsonl.gz": {
"num_bytes": 1154038,
"checksum": "e671265e1ae291e69057c0fc321efe880c88249a7c292fd69696ff1cbc9356c2"
},
"https://github.com/DFKI-NLP/MobIE/raw/master/v1_20210811/test.jsonl.gz": {
"num_bytes": 1745158,
"checksum": "181150d920da072dd6677b05aac22d81d666ae89ed79dacf5e13d2cd6119a8d7"
}
},
"download_size": 8172330,
"post_processing_size": null,
"dataset_size": 1997419,
"size_in_bytes": 10169749
} |