File size: 1,997 Bytes
3146996 |
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 |
{
"builder_name": "onestop_english",
"citation": "@inproceedings{vajjala-lucic-2018-onestopenglish,\n title = {OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification},\n author = {Sowmya Vajjala and Ivana Lu\u010di\u0107},\n booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications},\n year = {2018}\n}\n",
"config_name": "default",
"dataset_name": "onestop_english",
"dataset_size": 2278039,
"description": "This dataset is a compilation of the OneStopEnglish corpus of texts written at three reading levels into one file.\nText documents are classified into three reading levels - ele, int, adv (Elementary, Intermediate and Advance).\nThis dataset demonstrates its usefulness for through two applica-tions - automatic readability assessment and automatic text simplification.\nThe corpus consists of 189 texts, each in three versions/reading levels (567 in total).\n",
"download_checksums": {
"https://github.com/purvimisal/OneStopCorpus-Compiled/raw/main/Texts-SeparatedByReadingLevel.zip": {
"num_bytes": 1228804,
"checksum": null
}
},
"download_size": 1228804,
"features": {
"text": {
"dtype": "string",
"_type": "Value"
},
"label": {
"names": [
"ele",
"int",
"adv"
],
"_type": "ClassLabel"
}
},
"homepage": "https://github.com/nishkalavallabhi/OneStopEnglishCorpus",
"license": "Creative Commons Attribution-ShareAlike 4.0 International License",
"size_in_bytes": 3506843,
"splits": {
"train": {
"name": "train",
"num_bytes": 2278039,
"num_examples": 567,
"dataset_name": "onestop_english"
}
},
"supervised_keys": {},
"task_templates": [
{
"task": "text-classification",
"label_column": "label"
}
],
"version": {
"version_str": "1.1.0",
"major": 1,
"minor": 1,
"patch": 0
}
} |