| { | |
| "default": { | |
| "description": "A dataset based on PubMed for sentence classification. The dataset consists of sentences from 20,000 abstracts of abstracts of randomized controlled trials; in total 240k sentences. Sentences are classified into five categories based based on the role they play in the abstract: background, objective, methods, results or conclusions.", | |
| "citation": "@inproceedings{dernoncourt-lee-2017-pubmed,\ntitle = \"{P}ub{M}ed 200k {RCT}: a Dataset for Sequential Sentence Classification in Medical Abstracts\",\nauthor = \"Dernoncourt, Franck and\n Lee, Ji Young\",\nbooktitle = \"Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)\",\nmonth = nov,\nyear = \"2017\",\naddress = \"Taipei, Taiwan\",\npublisher = \"Asian Federation of Natural Language Processing\",\nurl = \"https://aclanthology.org/I17-2052\",\npages = \"308--313\"}", | |
| "homepage": "https://github.com/Franck-Dernoncourt/pubmed-rct", | |
| "license": "", | |
| "features": { | |
| "text": { | |
| "dtype": "string", | |
| "id": null, | |
| "_type": "Value" | |
| }, | |
| "label": { | |
| "num_classes": 5, | |
| "names": [ | |
| "bac", | |
| "obj", | |
| "met", | |
| "res", | |
| "con" | |
| ], | |
| "names_file": null, | |
| "id": null, | |
| "_type": "ClassLabel" | |
| } | |
| }, | |
| "task_templates": [ | |
| { | |
| "task": "text-classification", | |
| "text_column": "text", | |
| "label_column": "label", | |
| "labels": [ | |
| "bac", | |
| "obj", | |
| "met", | |
| "res", | |
| "con" | |
| ] | |
| } | |
| ], | |
| "version": { | |
| "version_str": "1.0.0", | |
| "description": null, | |
| "major": 1, | |
| "minor": 0, | |
| "patch": 0 | |
| } | |
| } | |
| } |